SwissCognitive Guest Blogger: Eleanor Wright, COO at TelWAI – “A New Era of Intelligent Robots”

Imagine a world where humanoid robots cook for you, care for your loved ones, and streamline your workday – all powered by AI smarter than ever before. The global AI in robotics market, projected to surpass $124 Billion by 2030, is set to make this vision a reality. As the capabilities of AI evolve, these machines will become our companions, caregivers, and coworkers, they’ll make mobility more affordable, transform access to services, and redefine the value of human effort.

From Amazon’s fleet of 750,000 warehouse robots to Tesla’s ambitions to build 10,000 humanoid Optimus robots this year, the age of robots is upon us. Dependent on sensors and actuation systems to navigate and interact with the physical environment, this new age of robotics hinges on the developments of AI, designed to mimic and learn from its biological makers. Equipping these robots with intelligence, engineers working across various domains of expertise, utilise AI to enable vision, natural language processing, sound processing, pressure sensing, and more.

Beyond sensing, AI also enables robots to reason, adapt, and learn, using approaches including—but not limited to—reinforcement learning, neural networks, and Bayesian networks. These models and methods enable robots to assess risks and determine actions, and by learning from experience, robots can adapt to new tasks and environments. Thus, AI enables robots to perceive, act, learn, and adapt, allowing them to perform tasks with greater autonomy and precision.

However, integrating AI into robotics isn’t seamless, it comes with hurdles. Robots struggle with real-time processing delays, adapting to messy unpredictable environments, squeezing efficiency from limited hardware, and understanding human quirks like vague commands or gestures. These challenges constrain capabilities and the pace at which robots enter and dominate markets.

So, how can these challenges be addressed?

Some developments in addressing these challenges include:

1. Parallel computing

Parallel computing involves dividing larger tasks into smaller, independent tasks that can be processed simultaneously rather than sequentially. This enables increased computational efficiency, reduced latency, and improved cost efficiency. In robotics, parallel computing allows robots to process inputs from LIDAR, radar, and cameras simultaneously, enabling them to navigate environments more effectively and efficiently.

2. Transfer learning

Transfer learning leverages pre-trained models to solve new, but similar, problems. In this approach, a model trained on one task or dataset is reused and fine-tuned for a related task. For example, in machine vision for defect detection in manufacturing, fine-tuning a pre-trained model on a smaller dataset of images allows it to quickly adapt to detect specific defects, such as cracks or dents, without needing to train a model from scratch.

3. Self-calibrating AI

Self-calibrating refers to AI systems that autonomously adjust their parameters, models, or processes to maintain optimal performance without manual intervention. In robotics, self-calibrating AI enables robots to adapt to changes in their environment, hardware, or tasks, ensuring they operate with optimized accuracy and efficiency over time.

4. Federated learning

Federated learning is a technique that enables AI systems to learn from distributed data sources whilst ensuring privacy and security. It allows AI to collaboratively train a shared model without transferring sensitive data, preserving privacy and reducing reliance on centralised storage. For example, delivery robots use federated learning to optimise pathfinding without sending raw data, such as sensor inputs or location, to a central server. Instead, they locally update their models and share improvements, preserving both privacy and security.

These developments indicate a key focus on efficiency, adaptability, and learning – all of which are essential for the continued evolution of robotics in complex, real-world environments. Additionally, these advancements contribute to a future where robots collaborate with humans, leveraging their ability to learn from experience and improve over time.

So, what’s next for AI in Robotics?

Just as AI agents are taking over the digital realm, they are about to flood robotics too. AI agents embedded in robotics will supercharge the autonomy and flexibility of robots, enabling them to communicate with humans and even interpret intentions by analysing gestures and potentially emotional cues. Crucial to human-robot interactions, AI agents may prove highly effective in assisted care, hospitality, and other service industries.

Additionally, as technologies like federated learning and edge computing evolve, robots will share knowledge without compromising privacy or relying on centralised data. This will improve scalability and efficiency by reducing the need for costly centralised storage and processing, and enable additional robots to integrate rapidly into existing networks.

So, where does this leave us?

Although there are abundant market opportunities for AI in robotics, the pace at which different markets adopt robotics will vary; with AI being a key factor driving this adoption. Crucial for overcoming challenges related to autonomy, adaptability, and decision-making, AI will empower robots to perform tasks once considered too complex or risky for automation. As AI continues to evolve, it will not only raise important concerns about safety, ethics, and integration but help address them; ensuring robots can work seamlessly alongside humans and contribute to a more productive future.

About the Author:

Holding a BA in Marketing and an MSc in Business Management, Eleanor Wright has over eleven years of experience working in the surveillance sector across multiple business roles.

Der Beitrag A New Era of Intelligent Robots – AI and Robotics erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Artem Pochechuev, Head of Data and AI at Sigli – “AI for Disabilities: Quick Overview, Challenges, and the Road Ahead”

AI has enormous power in improving accessibility and inclusivity for people with disabilities. This power lies in the potential of this technology to bridge gaps that traditional solutions could not address. As we have demonstrated in the series of articles devoted to AI for disabilities, AI-powered products can really change a lot for people with various impairments. Such solutions can allow users to live more independently and get access to things and activities that used to be unavailable to them before. Meanwhile, the integration of AI into public infrastructure, education, and employment holds the promise of creating a more equitable society. These are the reasons that can show us the importance of projects building solutions of this type.

Yes, these projects exist today. And some of them have already made significant progress in achieving their goals. Nevertheless, there are important issues that should be addressed in order to make such projects and their solutions more efficient and let them bring real value to their target audiences. One of them is related to the fact that such solutions are often built by tech experts who have practically no understanding of the actual needs of people with disabilities.

According to the survey conducted in 2023, only 7% of assistive technology users believe that their community is adequately represented in the development of AI products. At the same time, 87% of respondents who are end users of such solutions express their readiness to share their feedback with developers. These are quite important figures to bear in mind for everyone who is engaged in the creation of AI-powered products for disabilities.

In this article, we’d like to talk about the types of products that already exist today, as well as potential barriers and trends in the development of this industry.

Different types of AI solutions for disabilities

In the series of articles devoted to AI for disabilities, we have touched on types of products for people with different states, including visual, hearing, mobility impairments, and mental diseases. Now, let us group these solutions by their purpose.

Communication tools

AI can significantly enhance the communication process for people with speech and hearing impairments.

Speech-to-text and text-to-speech apps enable individuals to communicate by converting spoken words into text or vice versa.

Sign language interpreters powered by AI can translate gestures into spoken or written language. It means that real-time translation from sign to verbal languages can facilitate communication, bridging the gap between people with disabilities and the rest of society.

Moreover, it’s worth mentioning AI-powered hearing aids with noise cancellation. They can improve clarity by filtering out background sounds, enhancing the hearing experience in noisy environments.

Advanced hearing aids may also have sound amplification functionality. If somebody is speaking too quietly, such AI-powered devices can amplify the sound in real time.

Mobility and navigation

AI-driven prosthetics and exoskeletons can enable individuals with mobility impairments to regain movement. Sensors and AI algorithms can adapt to users’ physical needs in real time for more natural, efficient motion. For example, when a person is going to climb the stairs, AI will “know” it and adjust the movement of prosthetics to this activity.

Autonomous wheelchairs often use AI for navigation. They can detect obstacles and take preventive measures. This way users will be able to navigate more independently and safely.

The question of navigation is a pressing one not only with people with limited mobility but also for individuals with visual impairments. AI-powered wearable devices for these users rely on real-time environmental scanning to provide navigation assistance through audio or vibration signals.

Education and workplace accessibility

Some decades ago people with disabilities were fully isolated from society. They didn’t have the possibility to learn together with others, while the range of jobs that could be performed by them was too limited. Let’s be honest, in some regions, the situation is still the same. However, these days we can observe significant progress in this sphere in many countries, which is a very positive trend.

Among the main changes that have made education available to everyone, we should mention the introduction of distance learning and the development of adaptive platforms.

A lot of platforms for remote learning are equipped with real-time captioning and AI virtual assistants. It means that students with disabilities have equal access to online education.

Adaptive learning platforms rely on AI to customize educational experiences to the individual needs of every learner. For students with disabilities, such platforms can offer features like text-to-speech, visual aids, or additional explanations and tasks for memorizing.

In the workplace, AI tools also support inclusion by offering accessibility features. Speech recognition, task automation, and personalized work environments empower employees with disabilities to perform their job responsibilities together with all other co-workers.

Thanks to AI and advanced tools for remote work, the labor market is gradually becoming more accessible for everyone.

Home automation and daily assistance

Independent living is one of the main goals for people with disabilities. And AI can help them reach it.

Smart home technologies with voice or gesture control allow users with physical disabilities to interact with lights, appliances, or thermostats. Systems like Alexa, Google Assistant, and Siri can be integrated with smart devices to enable hands-free operation.

Another type of AI-driven solutions that can be helpful for daily tasks is personal care robots. They can assist with fetching items, preparing meals, or monitoring health metrics. As a rule, they are equipped with sensors and machine learning. This allows them to adapt to individual routines and needs and offer personalized support to their users.

Existing barriers

It would be wrong to say that the development of AI for disabilities is a fully flawless process. As well as any innovation, this technology faces some challenges and barriers that may prevent its implementation and wide adoption. These difficulties are significant but not insurmountable. And with the right multifaceted approach, they can be efficiently addressed.

Lack of universal design principles

One major challenge is the absence of universal design principles in the development of AI tools. Many solutions are built with a narrow scope. As a result, they fail to account for the diverse needs that people with disabilities may have.

For example, tools designed for users with visual impairments may not consider compatibility with existing assistive technologies like screen readers, or they may lack support for colorblind users.

One of the best ways to eliminate this barrier is to engage end users in the design process. Their opinion and real-life experiences are invaluable for such projects.

Limited training datasets for specific AI models

High-quality, comprehensive databases are the cornerstone for efficient AI models. It’s senseless to use fragmented and irrelevant data and hope that your AI system will demonstrate excellent results (“Garbage in, Garbage out” principle in action). AI models require robust datasets to function as they are supposed to.

However, datasets for specific needs, like regional sign language dialects, rare disabilities, or multi-disability use cases are either limited or nonexistent. This results in AI solutions that are less effective or even unusable for significant groups of the disability community.

Is it possible to address this challenge? Certainly! However, it will require time and resources to collect and prepare such data for model training.

High cost of AI projects and limited funding

The development and implementation of AI solutions are usually pretty costly initiatives. Without external support from governments, corporate and individual investors, many projects can’t survive.

This issue is particularly significant for those projects that target niche or less commercially viable applications. This financial barrier discourages innovation and limits the scalability of existing solutions.

Lack of awareness and resistance to adopt new tools

A great number of potential users are either unaware of the capabilities of AI or hesitant to adopt new tools. Due to the lack of relevant information, people have a lot of concerns about the complexity, privacy, or usability of assistant technologies. Some tools may stay just underrated or misunderstood.

Adequate outreach and training programs can help to solve such problems and motivate potential users to learn more about tools that can change their lives for the better.

Regulatory and ethical gaps

The AI industry is one of the youngest and least regulated in the world. The regulatory framework for ensuring accessibility in AI solutions remains underdeveloped. Some aspects of using and implementing AI stay unclear and it is too early to speak about any widely accepted standards that can guide these processes.

Due to any precise guidelines, developers may overlook critical accessibility features. Ethical concerns, such as data privacy and bias in AI models also complicate the adoption and trustworthiness of these technologies.

Such issues slow down the development processes now. But they seem to be just a matter of time.

Future prospects of AI for disabilities: In which direction is the industry heading?

Though the AI for disabilities industry has already made significant progress in its development, there is still a long way ahead. It’s impossible to make any accurate predictions about its future look. However, we can make assumptions based on its current state and needs.

Advances in AI

It is quite logical to expect that the development of AI technologies and tools will continue, which will allow us to leverage new capabilities and features of new solutions. The progress in natural language processing (NLP) and multimodal systems will improve the accessibility of various tools for people with disabilities.

Such systems will better understand human language and respond to diverse inputs like text, voice, and images.

Enhanced real-time adaptability will also enable AI to tailor its responses based on current user behavior and needs. This will ensure more fluid and responsive interactions, which will enhance user experience and autonomy in daily activities for people with disabilities.

Partnerships

Partnerships between tech companies, healthcare providers, authorities, and the disability community are essential for creating AI solutions that meet the real needs of individuals with disabilities. These collaborations will allow for the sharing of expertise and resources that help to create more effective technologies.

By working together, they will ensure that AI tools are not only innovative but also practical and accessible. We can expect that the focus will be on real-world impact and user-centric design.

New solutions

It’s highly likely that in the future the market will see a lot of new solutions that now may seem to be too unrealistic. Nevertheless, even the boldest ideas can come to life with the right technologies.

One of the most promising use cases for AI is its application in neurotechnology for seamless human-computer interaction.

A brain-computer interface (BCI) can enable direct communication between the human brain and external devices by interpreting neural signals related to unspoken speech. It can successfully decode brain activity and convert it into commands for controlling software or hardware.

Such BCIs have a huge potential to assist individuals with speech impairments and paralyzed people.

Wrapping up

As you can see, AI is not only about business efficiency or productivity. It can be also about helping people with different needs to live better lives and change their realities.

Of course, the development and implementation of AI solutions for disabilities are associated with a row of challenges that can be addressed only through close cooperation between tech companies, governments, medical institutions, and potential end users.

Nevertheless, all efforts are likely to pay off.

By overcoming existing barriers and embracing innovation, AI can pave the way for a more accessible and equitable future for all. And those entities and market players who can contribute to the common success in this sphere should definitely do this.

About the Author:

In his current position, Artem Pochechuev leads a team of talented engineers. Oversees the development and implementation of data-driven solutions for Sigli’s customers. He is passionate about using the latest technologies and techniques in data science to deliver innovative solutions that drive business value. Outside of work, Artem enjoys cooking, ice-skating, playing piano, and spending time with his family.

Der Beitrag AI for Disabilities: Quick Overview, Challenges, and the Road Ahead erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Artificial Intelligence: Insights and AI Leadership Strategy from Industry Experts – The SwissCognitive AI Navigator – Issue 02 – 2024

Artificial Intelligence is restructuring industries at a pace we haven’t experienced before. Staying ahead requires more than just awareness—it demands insight, strategy, and visionary leadership.

The high-speed evolution of AI technologies, coupled with the complexities of ethical considerations and regulatory landscapes, presents both immense opportunities and significant challenges for businesses worldwide.

These circumstances were the driving forces, why we decided to interview 16 distinguished AI experts and leaders.  We are thrilled to announce the release of the 2024 AI Navigator – Issue 02, a comprehensive guide designed to equip leaders with the knowledge and AI leadership strategy needed to navigate the intricate world of AI. Building on the success of our previous edition, this year’s AI Navigator delves deeper into the critical aspects of AI adoption, offering actionable insights from the AI professionals at the forefront of AI innovation.

Why the AI Navigator Matters

As AI developments, regulations, and trends advance at lightning speed, the decisions we make today are more critical than ever. The AI Navigator serves as a trusted resource, cutting through the hype to provide clear, practical guidance on harnessing AI’s transformative potential responsibly and effectively.

Whether you’re in healthcare, finance, manufacturing, mobility, technology, or any other industry, this guide is designed to help you:

• Strategically Integrate AI: Understand real-world applications that drive efficiency and innovation within your organization.
• Navigate Ethical Frameworks and Compliance: Gain insights into the complex landscape of AI ethics and global regulations to ensure responsible deployment.
• Adapt Leadership and Workforce Strategies: Prepare your team for an AI-driven future with adaptive leadership styles and continuous upskilling.
• Embrace Collaboration and Plan for Scalability: Learn how co-innovation and strategic planning can foster sustainable growth and long-term success.

What’s Inside the 2024 AI Navigator

The guide is thoughtfully structured into five comprehensive chapters, each delving into essential facets of AI integration and leadership:

1. A Comprehensive Exploration of AI Adoption and Integration in the Modern Era
   • Key Developments and Innovations
   • Adoption and Integration of AI Across Industries
   • Challenges in Scaling and Practical Integration of AI
   • Future Directions and Predictions for AI
   • Key Takeaways
2. Leadership Strategy, Workforce Adaptation, and Global Perspectives
   • Strategic Implementation of AI in Business Processes
   • The Future of Work: AI and Human Collaboration
   • Leadership and Workforce Adaptation to AI
   • Investing in AI for Future Growth
   • Global Perspectives on AI Adoption and Innovation
   • Key Takeaways
3. Navigating the Landscape of Regulation and Compliance
   • Regulatory Challenges and Opportunities
   • Implementing Effective AI Governance and Frameworks
   • Global Coordination and Harmonization of AI Regulations
   • Regulatory Compliance in AI Development: Socioeconomic and Ethical Considerations
   • The Future of AI Regulation and Compliance
   • Key Takeaways
4. Strategic Integrity: Navigating the Complexities of AI Ethics and Public Trust
   • Public Perception and Trust in AI
   • Integrating AI Ethics into Business Strategy and Proactive Deployment
   • Ensuring Data Ethics and Building Trust Through Transparency
   • The Role of Leadership in Shaping AI Culture and Ethics
   • Key Takeaways
5. From Theory to Practice: A Comprehensive Guide to Implementing AI in Business
   • Cultivate an AI-Literate Culture
   • Prioritize Practical AI Integration
   • Build an Ethical AI Framework
   • Invest in AI-Driven Innovation
   • Enhance Data Infrastructure
   • Embrace Collaboration and Co-Innovation
   • Plan for Long-Term AI Scalability
   • Key Takeaways

Insights from Industry Leaders

We are grateful for the participation of our esteemed AI experts, whose insights have been instrumental in shaping this guide:

• Alessandro Curioni
• Dr. Anita Puppe
• Aruna Pattam
• David Wood
• Kalogeropoulos Dimitris
• Prof. Dr. Ingrid Vasiliu-Feltes
• Dr. Jacques Ludik
• Jair Pinto Ribeiro
• Jarrod Anderson
• Jeff Winter
• Jim Harris
• José Pedro Almeida
• Pascal Bornet
• Patrick Bangert
• Semih Kumluk
• Valeria Sadovykh

What is the “AI Navigator”?

An insightful exploration of AI’s evolving landscape, focusing on ethical considerations, human-centric values, and practical leadership guidance. It offers a balanced and in-depth perspective essential for any leader navigating today’s digital age.

To receive your complete copy, simply fill out the form below. In just a few moments, the “AI Navigator“ will arrive in your inbox, and you’ll be on your way to uncovering AI’s potential, understanding its challenges, and discovering strategies to harness its power effectively on your organizational journey.

Der Beitrag Artificial Intelligence: Insights and AI Leadership Strategy from Industry Experts erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Artem Pochechuev, Head of Data and AI at Sigli – “Future Of AI-Powered Solutions For Disabilities: On The Verge Of Fantasy”

Today, while discussing Artificial Intelligence, we often talk about Generative AI tools, virtual assistants, or recommendations assistance. Such tools are already widely adopted and that’s why it is not surprising that they come to our mind in the first turn.

However, the potential of AI is much higher than that. This technology can be used in some mind-blowing solutions that seem to be absolutely fantastic.

Nevertheless, their introduction can be much closer than we may think.

In this article, we offer you to take a look at the most cutting-edge AI-powered projects that can greatly change the lives of people with disabilities (and not only).

Multimodal LLMs

Let’s start with something that sounds the most realistic – multimodal LLMs. Probably, all of you are already well-familiar with models that can work only with text inputs and provide text outputs.

Multimodal models are able to work with data in different formats. It means that they can deal with text, images, and sounds simultaneously and provide a relevant output. That is exactly what GPT-4o is expected to offer.

Of course, such models can be highly helpful for everyone. But their value will be significantly higher for people with different kinds of disabilities, including those with vision impairment, physiological disorders, and mental diseases.

Multimodal LMS can act as full-scale virtual assistants. Their functionality can offer much more possibilities in comparison to well-known solutions like Siri.

What can multimodal LLMs offer to people who can’t interact with their surroundings in a traditional way? We can say “practically everything” and from some point of view, we even won’t exaggerate.

For example, they will be able to explain everything that is written on the screen or describe what is shown in the picture. Their functionality will allow them to instantly translate and read aloud a text from the PDF file. They will help people to interact with their computers and smartphones. Based on the voice command made by users, they will open different menus, choose the necessary options, or move a pointer to the required line, while for a person with low vision or hand tremors, it can be very challenging to do this.

In the future, such models are expected to process video content as well. This will allow them to recognize films and describe their plots for users. Or they will be able to understand what sports game you will show to them and explain the rules.

Of course, these are just a couple of examples that demonstrate how multimodal LLMs can be used by people with disabilities. The range of their applications can be really wide.

AI-powered prosthetics

For people who were born without some parts of their bodies or who lost them under different circumstances, prostheses can become the best solution. These artificial body parts can restore some of the function and appearance of the lost anatomy. However, everything is not as seamless as we may think. The use of traditional prostheses can be associated with huge discomfort and various limitations, like limitations in dexterity or sensory feedback.

Nevertheless, such issues can be at least partially addressed by AI-powered prosthetics. Yes, AI arms today are not just something from a science fiction book. That’s a reality.

Artificial intelligence can significantly enhance the functionality, adaptability, and user experience of prostheses. In such solutions, ML is applied to teach bionic limbs how to understand movement patterns and how to make predictions based on the behaviours demonstrated previously. Thanks to this, limbs become more dexterous and more “natural”.

Such prostheses, both arms and legs, are non-invasive. But they have sensors that can measure electrical signals to identify the user’s intended movement.

Photo: University of Michigan

Of course, the use of AI-powered limbs is much more convenient in comparison to traditional prostheses. AI can automatically adjust artificial limbs for a better fit and can even make real-time changes based on user movements and activity levels.

The most advanced models can provide feedback on pressure and texture, which allows them to simulate the sense of touch for users.

Nevertheless, the cost of such devices is very high at the moment. This is one of the main factors that prevent them from being widely adopted today.

Bionic eye

Bionic limbs are a cutting-edge technology but what do you think about bionic eyes?

These experimental devices can restore functional vision for people who have partial or even total blindness.

The implantation of the earliest version of the bionic eye took place in 2012. The patient who got this artificial eye suffered from profound vision loss. After the surgery, he was able to see light. However, he couldn’t make distinctions within the environment. Since then, this first eye model has been greatly improved. Some other versions helped people start seeing abstract images. Nevertheless, none of the patients has regained vision.

One of the most widely discussed projects from this category is the Prima system by Pixium Vision. Their bionic vision solutions are being developed to help patients with profound vision loss and improve their independence and mobility.

Photo: https://www.pixium-vision.com

The core of their idea is the use of a 2-by-2-millimeter square implant that should be surgically placed under the retina. This implant should receive infrared data from camera-equipped glasses and further turn it into pulses of electricity which will replace signals generated by photoreceptor rods and cones.

Some early feasibility studies conducted in the US and European Union demonstrated that this system could be potentially effective and safe for people. Nevertheless, the project faced some financial difficulties which resulted in the delay in further research and development.

Rehabilitation robots and exoskeleton

Rehabilitation is a very important process for people with disabilities and patients after injuries. AI-powered robots can greatly help in the process of physical therapy through repetitive and controlled movements. They can offer personalized exercises and continuously monitor the progress to optimize recovery outcomes.

Such robots are often used in targeted therapy for patients with neurological or musculoskeletal impairments, such as stroke, spinal cord injury, or orthopedic injuries.

One of the most well-known robots of this kind is Lokomat which helps individuals relearn walking patterns. It ensures the most physiological movement which can be guaranteed by the individually adjustable patient interface.

Photo: https://www.hocoma.com/us/solutions/lokomat

Another type of solution used in rehabilitation is the exoskeleton. Exoskeletons can be defined as wearable devices that work in conjunction with the user’s movements to enhance or assist physical capabilities.

They can help individuals with mobility impairments to stand, walk, or perform other movements. Moreover, they can be used to enhance the physical abilities of healthy individuals, such as in industrial or military applications.

Over the last several years, we could observe the growing interest in designing innovative tools of this kind that incorporate AI. The obvious benefits of such exoskeletons are their capabilities to analyze data and adjust to the individual user’s needs in real-time.

One such groundbreaking AI-powered exoskeletons was developed by a group of researchers at North Carolina State University and the University of North Carolina at Chapel Hill. This wearable device can ensure great energy savings during human movement, which could lead to great improvements in athletic performance and significantly help individuals with mobility issues.

This exoskeleton is powered by data-driven and physics-informed reinforcement learning. With this approach, wearable robots can become intuitive and predict user’s movements.  This technology can also generate synergistic assistance across different activities, such as walking or stair-climbing. The controller can automatically adapt to various kinematic patterns. It means that the transition between activities can take place without any handcrafted control.

Photo: https://www.foxnews.com/tech/ai-driven-exoskeleton-lightens-your-load-elevates-performance

Though the actual prices of exoskeletons can vary from $50,000 to $120,000, Hao Su, Ph.D., associate professor at North Carolina State University and the University of North Carolina at Chapel Hill, noted that their efficient learning-in-simulation framework allows for rapid design and testing in computer simulations.

This can help to reduce the cost of research and development.

“Looking forward, we plan to make our robots truly affordable and accessible through innovative hardware design, namely low-ratio gears and cost-effective but high-torque electric motors. In about one year, we aim to make our exoskeletons for sale at a price range of $1,500 to $4,000, depending on specific features and manufacturing scale,” he explained.

Elderly care robots/ assistive robots for people with disabilities

While talking about robots, we can’t but mention robots that could fully or at least partially replace nurses, tutors, and caregivers.

In August 2023, the first commercial general-purpose humanoid robot Apollo by Apptronik was presented to the public. At the initial stages of its development, it was planned that it would be used in the manufacturing and warehousing industries. Nevertheless, later the range of its use cases was expanded. It can be also helpful in construction, retail, and elderly care. In the latest case, such robots can handle dozens of household chores and become good companions for people who spend a lot of time in isolation due to their disease or disabilities.

Photo: https://apptronik.com/apollo

However, this project is far not the only one in this group.

For example, there are a lot of reports from Japan revealing that the country is actively investing in the automation of elder care by employing various robots.

Though probably the majority of us start thinking about humanoid devices when asked about care robots, it’s far from being true. They can come in different sizes and shapes. Some of them are intended for physical care. In this case, we are talking about those ones that can help lift patients who can’t get on their own. There are robots that assist people in exercising and moving. Some others can track the physical activity of patients, detect falls, and help them use the toilet or take a bath.

There are also robots that are intended to communicate with elderly people, they can entertain them and even conduct cognitive training.

Robot guide dogs

Guide dogs are known to have been helping people with visual impairments for centuries. They can be great assistants and companions but the use of their services is associated with a row of challenges. The training of a guide dog usually requires significant time and expense. Moreover, let’s not forget about an average dog’s lifespan. This explains why a lot of countries face a shortage of trained guide dogs.

For example, according to the data published by the China Association for the Blind, currently, there are only around 400 trained dogs in the country, while the number of people who may need their help is over 17 million.

Dogs require particular care. They all have their personalities. This also can cause some difficulties for people.

But with the application of modern technologies, such issues can be successfully solved. Especially for those who do not feel like having a furry friend, as they can have a robot friend instead.

Robot guide dogs can efficiently provide real-time navigation services for people with visual disabilities and let them travel independently and safely. Such robots can identify road conditions, obstacles, and surrounding facilities. Moreover, they can work with voice prompts and provide vibration feedback, which makes interaction with them quite simple.

It is known that a group of Chinese researchers have been already conducting field tests of a six-legged guide dog that relies on cameras and sensors for navigation. This robot can successfully recognize traffic light signals, while in the case of real dogs, this “feature” is not available.

Photo: https://edition.cnn.com/2024/07/08/china/chinese-robot-guide-dog-intl-hnk/index.html

Of course, robot dogs require some maintenance but at least users do not need to feed them on a daily basis.

Brain-computer interface

Another technology that we should mention is a brain-computer interface. It can establish a direct communication pathway between the brain and an external device. It is possible thanks to its capability to decode the neural signals associated with attempted but unarticulated speech. In other words, it can translate neuronal information into commands capable of controlling external software or hardware systems.

In a very simplified way, we can explain its work as follows:

1. Collection of brain signals using electrodes or sensors;
2. Signal processing, filtering, and amplifying;
3. Extraction of relevant patterns or features within the signals;
4. Translation of these patterns into commands that can be understood by external devices.

Some BCIs are being developed for entertainment purposes. With their help, players can enjoy more immersive experiences. However, the majority of such projects have healthcare-related goals. For example, they can be used to assist in the in the recovery of motor functions.

In this context, it’s worth recollecting Neuralink. That’s definitely one of the most widely-known projects of this kind. This BCI is fully implantable. It’s invisible. And it can help users to seamlessly control their smartphones and computers. This technology can greatly help people with disabilities who are looking for ways to become more independent. Its efficiency in this aspect has been already proven in the first human trial.

Photo: https://neuralink.com/blog/prime-study-progress-update

In January 2024, Noland Arbaugh, a 30-year-old man paralyzed from the neck down, became the first patient who received the Neuralink device. Though there were some technical challenges during the trial, the general results look quite promising.

Thanks to the Neuralink device, the young man got practically full control of a computer. With the power of his mind, he can play games and browse the web at any moment. Moreover, according to Neuralink, Noland has managed to set the human record for cursor control with a brain-computer interface.

In an interview with journalists, Noland explained that the biggest advantage of using a BCI is the possibility of being independent.

“It’s just made me more independent, and that helps not only me but everyone around me. It makes me feel less helpless and like less of a burden. I love the fact that the people around me don’t have to wait for me so much. Outside of being completely healed, I believe what most quadriplegics want is independence,” he said.

Conclusion

Though today the majority of solutions mentioned in this article haven’t been widely adopted, that’s obvious that they have great potential given their incredible social value.

Moreover, we can say for sure that the real power of technologies, and AI in particular, hasn’t been even fully explored yet.

We still have a lot of things to learn and to do. But one thing is clear: today we are close to the future as never before. And we definitely shouldn’t stop in making life easier and better for everyone with the power of AI.

About the Author:

In his current position, Artem Pochechuev leads a team of talented engineers. Oversees the development and implementation of data-driven solutions for Sigli’s customers. He is passionate about using the latest technologies and techniques in data science to deliver innovative solutions that drive business value. Outside of work, Artem enjoys cooking, ice-skating, playing piano, and spending time with his family.

Der Beitrag Future Of AI-Powered Solutions For Disabilities: On The Verge Of Fantasy erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: bmmagazine.co.uk – “Bosch’s €2 billion gamble: Investing in employee retraining amid the AI revolution”

What is ‘quiet hiring?’ – Organizations that invest in reskilling and upskilling can fortify their workforces for the coming seismic changes wrought by technology, globalization, and markets.

Not long ago, Bosch announced a staggering plan to invest €2bn in retraining a portion of its 400,000 employees. As Europe’s largest car parts supplier, Bosch aimed to mitigate further job losses as the automotive industry transitions from traditional combustion engines to electric vehicles. The issue extends far beyond car-making.

McKinsey & Company forecasts that by 2030, one in 16 workers – totaling over 100 million across eight economies – may need to change occupations. This underscores the pressing need for reskilling and upskilling initiatives, driven primarily by rapid technological advancements automating jobs and generating demand for new skills.

Additionally, globalization and shifting market dynamics necessitate workers to adjust to new industries and roles. This interconnectedness has boosted trade, communication, and mobility across borders, often resulting in the outsourcing of jobs to countries with lower labor costs, displacing or rendering jobs in traditional sectors obsolete.

This process is also driven by shifts that occur within markets over time, due to changes in consumer preferences or regulatory overhauls. Tasks within industries tend to become more complex as new procedures, tools, and regulations emerge.

In the financial services industry, the proliferation of complex financial products like collateralized debt obligations (CDOs) and credit default swaps (CDS) has heightened the complexity of risk management. Assessing credit, market, and liquidity risk for these instruments poses unique challenges, demanding specialized knowledge and skills from risk managers. Continuous learning and skill development are essential for these professionals to remain relevant in their field, a necessity that extends beyond banking.[…]

Read more: www.bmmagazine.co.uk

Der Beitrag Investing In Employee Reskilling Amid The AI Revolution  erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Artem Pochechuev, Head of Data Science at Sigli – “Bridging the Gap: How AI Can Facilitate Social Inclusion Of People With Disabilities”

A recent study conducted by the UK national disability charity revealed that around 60%, which is almost two-thirds, of people with disabilities are chronically lonely. Even a bigger percentage of respondents (70%) admitted that they feel that social isolation has an impact on their mental health, which can also lead to an increase in mental health conditions in combination with the disabilities that they already have.

And here, we can observe a very important dissonance. On the one hand, a lot of people with disabilities can’t feel that they are a part of society due to the restrictions that they have to face every day. So, they do not have the possibility to communicate with other individuals a lot.

On the other hand, many of them can’t live fully independently. Due to their disorders, they can’t handle even routine tasks. As a result, they need to rely on the support of their family members, nurses, or tutors. Consequently, they are obliged to interact with others to deal even with the simplest everyday processes.

Amid all these issues, questions related to social isolation and lack of independence shouldn’t be ignored by organizations that work with people with disabilities.

Given all the new opportunities that emerging technologies like AI open, they can make a huge contribution to such projects. And it is great to see the growing interest of the world’s community and international institutions in the adoption of AI to help all groups of society.

According to the European Network of National Human Rights Institutions), “AI holds significant potential to positively impact the lives of persons with disabilities by addressing various challenges and providing innovative solutions. From speech-to-text applications to vision-enhancing tools, AI can break down barriers and provide new avenues for communication and interaction.”

In this article, we offer you to take a closer look at AI-powered projects and initiatives aimed at breaking social barriers for people with disorders of various types.

AI and communication

Speech-to-text and text-to-speech tools are widely applied to help people with hearing and speech impairments communicate with others. In one of our previously written articles, we’ve already described the power of Artificial Intelligence in enhancing the way people with such disorders interact with the world around them.

Thanks to virtual assistants enriched by such features, people can communicate with others in the traditional way. And this approach presupposes a real-time dialogue with practically no delays. As a result, they can solve a lot of tasks (like making calls to book a table at a restaurant, setting an appointment with a doctor, or ordering a delivery) without waiting for help from others. You may say that such tasks can be performed via sending a message. But let’s be honest. Quite often, a phone call is the fastest way to get what you want. And in this case, they can rely on AI-powered virtual assistants like Siri.

But this functionality is not the only one that can be ensured thanks to Artificial Intelligence. AI can fully change the way society can communicate with those who use sign language. With modern solutions, you do not need to know all the signs and their meaning to communicate with those who can’t express thoughts with the help of verbal means. AI algorithms can recognize signs and transform them into natural languages and vice versa.

The AI-powered era in marketing

And that’s cool that there are projects like Signapse AI, which helps businesses adapt their marketing strategies to the needs of everyone. What does it mean? The offered solution can translate written text into a Sign Language video which businesses can place on their websites, social media accounts, and blogs.

It will be sensible to note that all the information can be delivered to people with hearing disorders via written texts. Yes, it is possible. But such projects allow companies to make their communication with everyone vivid and engaging enough. Moreover, that’s a good way to demonstrate that you respect all your existing and potential and appreciate them regardless of any disabilities that they may have.

Autism and social skills

However, while discussing barriers in communication, we should mention not only speaking or hearing disabilities. In this context, it is also crucial to talk about people with autism spectrum disorder.

For individuals with autism, it can be extremely challenging to participate in various formats of social interactions. And AI-powered tools for social skill training can bring huge value. Such tools can simulate different role-playing real-life scenarios, analyse people’s behaviour in offered situations, and provide real-time feedback. It means that, in this case, AI is applied to create a supportive, controlled, and fully safe environment where users can practice and enhance their social skills.

One of the projects that are working on delivering such solutions is SocialMind. It is a member of the Microsoft for Startups Founders Hub. This platform relies on AI and NLP to improve the social skills of children with autism. Thanks to AI, the social skills training can be personalized for each child based on his/her specific needs and learning style.

But that’s not the only possible AI use case in this domain. AI can let people with autism communicate via alternative means. How is it possible? AI technology can recognize non-verbal or limited verbal means. Then language processing algorithms, predictive text, and voice recognition tools can transform them into natural language. As a result, individuals with autism get more freedom in expressing their thoughts. They can engage in various activities and take part in conversations.

AI and consumption of content of different formats

Books, movies, and art are among those things that, in this or that form, are present in our social life and affect it.

Let us mention a very simple example. When you move to a new country and try to integrate into a new community, sooner or later you may feel that you are a stranger. It can happen even if you perfectly know the local language and have already learned the names of local supermarkets. You may start feeling that you do not know the cultural context. For example, you do not know what songs were popular when people from your generation went to school and what cartoons they liked. As a result, you simply can’t understand the majority of memes and jokes.

But, of course, it is not a problem in comparison to what people with hearing or vision disorders experience when it comes to the cultural context.

However, thanks to AI, we can introduce alternative forms of consuming and producing different content. And it’s not only about social and cultural aspects. Such tools can be also of great use for educational and professional purposes.

Live captioning and screen readers are expected to greatly change the game for people with disabilities. Real-time captioning solutions make the participation of individuals with hearing disorders in various online events possible.  At the same time, image and text readers can be used by those with visual impairments and people with dyslexia.

AI and accessibility of public spaces

It’s amazing to observe that today, public spaces are gradually becoming more accessible thanks to AI. Smart city solutions can rely on systems powered by Artificial Intelligence for sharing real-time data on accessible transportation options (like wheelchair-accessible ramps or buses that can be easily used by people with limited mobility).

Architects and designers can benefit from AI-powered tools for creating so-called disability-friendly urban planning and buildings.

And already today there are apps that use the power of AI to provide accessibility information about various public spaces.

For people with visual disorders, the market can offer smart glasses and AI-powered apps that use smartphone cameras. Special cameras can be placed on a person’s eyeglass frames. They utilize optical character recognition technology. With it, they can transform digital or printed text into real-time auditive feedback. Some other solutions of this kind can also be powered by stereo sound sensors and GPS technology. They can recognize colours, read signs, and provide spoken directions.

Moreover, there are applications like Seeing AI by Microsoft that can safely navigate people with visual impairment. AI algorithms can identify objects and people caught by the device camera and then audibly describe what is happening around them.

While Seeing AI is a universal app that can be used in many situations, similar technologies can be more industry-specific. For example, cameras powered by computer vision can be installed in gyms and can notify people about any threats caused by irregular use of equipment. Such a solution can be of great use for a very wide audience. But it will have the highest importance for people with visual impairments.

AI and independent living

Let’s be honest, the modern world is built in such a way that even a lot of healthy people can stay at home, work from home, order deliveries, communicate with others only via chats, and still feel completely okay about it. Total digitalization (in which AI also takes an important position) makes it possible for everyone. However, even when all these opportunities are available, people still feel that they are a part of society. They can easily leave their homes if they want to do it and go wherever they want. They do not depend on others.

But we can’t say just the same about people with disabilities. Many of them can’t live fully independently due to many reasons which causes a lot of discomfort to them. Nevertheless, AI is here to address such issues.

For example, smart controllers used in smart home systems can greatly increase the safety of people with vision and cognitive disabilities. They can track whether all home appliances are turned off when they are not used, monitor possible water leaks, etc. Assistants with voice control can be used to manage a lot of tasks. Meanwhile, cameras with computer vision can recognize who is standing at the door and inform a person.

Special smart controllers can also be responsible for detecting various threats and dangerous situations related to people’s health. Already today, there are projects that offer to install sensors that will detect falls and the absence of movements during a particular period. Such solutions are highly relevant for families with elderly people living alone. If a dangerous pattern is identified, the system will send notifications to nurses or other authorized individuals who can take the required measures.

For people with limited mobility, there are quite a lot of voice-controlled devices and smart robotic products. But some solutions that are available today are ground-breaking. For example, what about walking simply by thinking about it? Thanks to electronic brain implants, it can be possible. The system is still not widely available and is at an experimental stage. Nevertheless, a 40-year-old Dutch man who was paralyzed after an accident got the possibility to walk again. The electronic implants wirelessly transmit his thoughts to his legs and feet via an implant on his spine.

Neurosurgeon Prof Jocelyne Bloch at Lausanne University, who carried out the surgery and inserted the implants, explained the project’s goal in the following way:

“The important thing for us is not just to have a scientific trial, but eventually to give more access to more people with spinal cord injuries who are used to hearing from doctors that they have to get used to the fact that they will never move again.”

And that’s exactly how we at Sigli (Cortlex) view the mission of introducing tech innovations – to make impossible things possible for everyone.

But even such cutting-edge projects are not at the highest level of what we can expect to see in this field in the near future. Research and experiments are going on.

Conclusion

Have we mentioned all the existing AI-powered projects aimed at facilitating everyday tasks for people with disabilities? Definitely no. This list could be practically endless.

Without any doubt, it is extremely exciting to explore the potential of AI in this aspect. And it is even more exciting to make our contribution to this huge common initiative – ensuring that our world is comfortable for everyone. If you need any technical assistance in the realization of such projects, we would be happy to hear from you.

About the Author:

In his current position, Artem Pochechuev leads a team of talented engineers. Oversees the development and implementation of data-driven solutions for Sigli’s customers. He is passionate about using the latest technologies and techniques in data science to deliver innovative solutions that drive business value. Outside of work, Artem enjoys cooking, ice-skating, playing piano, and spending time with his family.

Der Beitrag How AI Can Facilitate Social Inclusion Of People With Disabilities erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Reddy Mallidi – “The Urgent Case for Upskilling Employees in the AI Age”

Artificial intelligence (AI) could potentially displace 30% of activities across 60% of occupations in the next few years. That’s over 85 million jobs gone by 2025 according to World Economic Forum estimates. Yet even amidst this looming unemployment crisis, companies already report shortages for skilled talent to develop and manage new AI systems.

This growing mismatch between human skills and those needed to thrive in an AI-powered world signals an urgent need for businesses to invest in reskilling and upskilling their workforces. Otherwise, the disconnect will likely worsen, causing substantial unemployment and loss of competitive edge.

The Skills Gap Widens

On the one hand, AI and automation are making some jobs redundant. Cashiers, Customer Service specialists, accountants and even radiologists among others may face displacement with the advent of AI.

Simultaneously, these technologies are creating new specialized roles like AI researchers, data analysts, machine learning engineers and automation specialists. Positions requiring technical expertise to build, implement and manage AI systems are seeing a surge in demand. But talent supply is scarce even amidst increasing unemployment.

This bifurcation is causing a skills gap across industries. Employers are forced to choose between two less than ideal options – either invest significant resources to retrain existing employees or compete for expensive external talent in an overheated job market. Both choices have heavy cost and productivity implications.

Real-World Challenges for Companies

Inability to access qualified talent hampers competitiveness for firms racing to deploy AI. An IBM survey found that inadequate skills was the top barrier to AI adoption for over half of North American executives. Companies investing in upskilling will gain an advantage over those lacking capable staff to leverage AI.

Moreover, lack of future-ready skills magnifies displacement risks for employees. With no reskilling support, redundancies and unemployment likely will rise.

The business case for investing in retraining and upskilling is clear when we consider these talent challenges companies face today:

• Shortage of qualified talent for emerging tech-driven roles.
• High costs and effort competing for external hires.
• Loss of institutional knowledge as people leave.
• Reduced competitiveness against rivals deploying AI rapidly.
• Growing skills gaps and displacement leading to higher unemployment

Upskilling: A Win-Win for Employers and Workers

While the scale of disruption is daunting, it presents exciting upskilling opportunities through training programs tailored to build capabilities for new roles.

Amazon is heavily investing in upskilling and reskilling initiatives to build AI capabilities of employees with their Machine Learning University. Adobe’s Digital Academy helped several employees transition to data-focused roles and upskilled employees saw a salary increase of $30-100K. Deloitte has launched the Deloitte AI Academy, a program aimed at educating the next generation of AI professionals. As part of Deloitte’s initiative to train up to 10,000 professionals in AI. Deloitte AI Academy has expanded its curriculum to include Generative AI training that both practitioners and clients can tap into.

These examples demonstrate that targeted reskilling delivers manifold benefits beyond filling open positions:

• Preserves valuable institutional knowledge.
• Motivates and engages employees by investing in their growth.
• Shows commitment to workforce employability and mobility.
• Allows filling of critical skills gaps from within
• Saves costs of external recruitment and onboarding

With adaptable vision, companies can cultivate the talent they need within existing teams. Reskilling helps workers remain relevant amidst seismic technological shifts.

Recommendations for Successful Reskilling Initiatives

Here are some best practices for executing effective workforce upskilling:

• Conduct skills gap analysis to identify role-based deficits.
• Curate customized programs blending technical and soft skills.
• Offer incentives like bonuses, promotions and certifications.
• Seek partnerships with online learning platforms and academia.
• Leverage government aid for subsidized training initiatives.
• Promote a culture of continuous learning and growth mindset.

The future of work will require new collaborations between humans and AI. With pragmatic and compassionate leadership, companies can upskill workforces to harness the full potential of technological progress. The result will be more inclusive prosperity and promising futures for both business and society.

About the Author:

Reddy Mallidi is an eminent business executive, an AI visionary with over 25+ years of leadership in operational excellence, digital transformation, and customer experience, and author of the “AI Unleashed – Harness the Power of AI to Transform Your Business” book. As a Partner and COO at Seventrain Ventures, he delivered multimillion $ value using AI and Automation to his clients. Previously he held executive roles at Intel, Autodesk, and ADP. Beyond his impressive accomplishments, Reddy remains grounded by his humble beginnings and unwavering belief in the human potential and sees AI as a tool to empower people and drive positive change in the world.

Der Beitrag The Urgent Case for Upskilling Employees in the AI Age erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Our latest Featured News is yet again hot off the press and brimming with insights from the forefront of AI development and application!

In this edition, we dive into a range of captivating topics, including leadership strategies for AI integration in “Going Beyond Silo Mentality – The AI Navigator” and key takeaways from “The AI Trajectory 2024 – Invest for Impact” conference. Discover how AI is creating solutions for people with limited mobility, transforming education and work in the digital age, and influencing venture capital and Web3. Explore AI’s role in radiology, material science breakthroughs, Brazil’s historic AI-drafted law, and McDonald’s partnership with Google.

Each article offers a unique perspective on AI’s expanding influence.

Enjoy the read and Share for Success!

Best regards,

The Team of SwissCognitive

Der Beitrag Mind-Bending AI erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Artem Pochechuev, Head of Data Science at Sigli – “Advantages of AI in Building Solutions For People With Limited Mobility”

According to various studies around 10%-12% of people worldwide have mobility issues that result in significant difficulty walking or climbing stairs. Governments and NGOs all over the globe invest money and effort in the identification of the existing barriers and their gradual removal. However, the reality is that a huge number of people with limited mobility still have no other choice but to spend the majority of time at home because a lot of cities and towns do not have a suitable infrastructure for those who have to use mobility aids like wheelchairs, mobility scooters, crutches, walkers, and other tools.

When we are talking about people with limited mobility we should bear in mind that in many cases we will deal not only with those who were born with disabilities. In this case, we should also mention people who faced mobility issues as a result of an accident or illness. Moreover, such issues may also have a temporary character. Given all these factors, it is vital to focus not only on urban infrastructure but also on the home environment, as well as conditions for working and studying that people will need to deal with. It means that we need to cover a quite wide category of existing issues and possible solutions.

As well as in many other cases, modern technologies can be a good answer to address the existing difficulties. Artificial intelligence has already found its use cases in many projects aimed at increasing the quality of life for people with disabilities. It’s worth highlighting that the needs of people with limited mobility can be also catered to with the power of AI.

Let us share our thoughts on how is it possible to use the opportunities that AI offers us to make it easier for everyone to deal with numerous daily tasks without external help.

Examples of AI-powered solutions

To begin with, we’d like to start with the solutions that are already widely used in many families and facilitate a lot of processes for them, even if their members do not experience any health problems or issues with their physical conditions. However, for people with physical disabilities and mobility difficulties, they will have a much more significant role.

We are talking about voice-controlled home automation systems that are able to interpret voice commands and perform various tasks from simple ones like turning music on or off to telling a user who is ringing at the doorbell (in this case, the system should be also enriched with face recognition tools). Amazon’s Alexa or Google Home Assistant are among the most well-known examples provided by tech giants but today there are many more solutions of this kind being developed by ambitious startups. Already now we can speak about the growing adoption of such systems and it will be reasonable to presuppose that in the future even more families will leverage the benefits of such solutions.

AI-powered self-driving cars also have huge potential for enhancing the freedom of mobility and eliminating physical isolation. Thanks to driverless cars developed by Waymo, Tesla, General Motors and others will allow people to avoid a lot of issues related to the use of public transport and traditional cars as well as the lack of possibility to get from point A to point B due to their physical disabilities. Though there are still a lot of things to do to make the use of such means of transportation fully safe, today the expectations are very high and we can hope that in some years they will become more accessible and affordable for a wide audience of drivers.

Another example of using the capacities of AI in the context of reducing barriers for people with limited mobility is the introduction of robotic assistance for mobility and the creation of new solutions built upon the existing mobility aids, such as wheelchairs or walkers, for example. Quite often people with disabilities are not able to use traditional wheelchairs on their own (or have serious difficulties while doing it). Nevertheless, AI can address this problem by perceiving audio commands from the user which can provide users with much more freedom of movement. Moreover, not every person can use traditional joysticks. Such conditions as spinal cord injury, spinal muscular atrophy, motor neurone disease, and some others can affect the hand function of people. An Australia-based company Control Bionics that focuses on advanced assistive technology developed a wireless wearable device NeuroNode. It lets people rely on their brain signals to fulfill different tasks that are typically performed with the help of a touch screen, keyboard, joystick, or mouse. To control a cursor on a screen people can eye-track and to opt for some actions they need to send a neural signal. The adoption of such solutions can also become a real game-changer for people who have difficulties in controlling the muscles that are required for speaking as they will be able to communicate with others with the help of brain-operated text-to-speech tools.

In collaboration with Deakin University’s Applied AI Institute, Control Bionics created DROVE which is known as the first autonomous driving wheelchair module in the world. The module has been already tested by users at their homes. It is powered by the NeuroNode interface and a digital camera system mounted on a wheelchair. Moreover, to ensure centimeter accuracy, researchers installed sensors at the locations where it was planned to use the solution. The system has proved its efficiency by demonstrating its ability to navigate tight doorways, detect unexpected obstacles, and always leave the wheelchair in the required position.

The researchers at The University of Texas at Austin have also contributed to building an inclusive mobility future. They developed the technology that allows users to control the movement of a wheelchair with the power of their mind. It includes a skullcap with electrodes and they can detect those brain signals that regulate movement. A laptop that is mounted on a wheelchair has AI-powered software that can translate these signals into wheel movements. It means that to move a wheelchair a person needs to imagine how he or she is moving legs or arms.

The row of examples of smart robotic solutions for people with disabilities is rather wide.

LEA (the Lean Empowering Assistant) is a robotic walker introduced by Robot Care Systems with a view to increasing stability and safety for elderly people and people with reduced mobility. LEA is powered by sensor technology that can ensure autonomous navigation by scanning the environment and reacting to different conditions. Let’s suppose that LEA detects that there is an object on the floor that can cause a fall of a user. After the detection of an obstacle, the system will notify a person and the walker will slow down to ensure a high level of safety.

There are also different projects that address some particular needs of people with highly limited mobility. While some robots, like RIBA, can lift up a person from a bed and set down to a wheelchair (or vice versa), some others can become dining companies and feed them. Obi is a good example of the solutions from the latter category. It is designed to reduce assistance required for people with disabilities. Obi has several bowls for food and a robotic arm. It can learn where it should deliver a spoon with food after a caregiver once shows this to it.

Speaking about possible solutions for people with limited mobility, we also have to mention AI-powered prosthetics and exoskeletons. AI helps to overcome the existing limitations of traditional prosthetics. It is possible thanks to providing enhanced functionality, much more intuitive control, and better signal decoding. ML and AI help to adapt prosthetics to various conditions and environments in accordance with the feedback from the user’s body.

Exoskeletons are wearables that support movement and expand the physical capacities of people. Artificial Intelligence can make movements more neutral and reduce the required physical efforts which makes such devices more user-friendly.

In 2021, researchers at the University of Waterloo, Ontario, made headlines when it was revealed that they had started testing AI-powered semi-autonomous exoskeletons. These exoskeletons are intended to help people with limited mobility walk again with the help of robotic prostheses enriched with deep-learning technologies. What makes this project special is that human thought is not required for controlling exoskeletons. It is possible to compare them with autonomous vehicles that can drive themselves. These exoskeletons can walk themselves. The robotic limbs have sensors and cameras that provide images to computer-vision algorithms for analyzing the surroundings. For example, when stairs are detected, the exoskeleton’s control system will get a signal to start a relevant scenario. It will include such commands as lifting a knee and stepping down or up depending on the exact location of a user. It means that people wearing exoskeletons can move while their movements will be controlled by special software.

AI-powered exoskeletons are expected to play a significant role in helping individuals with disabilities and also elderly people. Such wearables of different types can be useful not only for moving around but also for lifting and carrying heavy objects and reducing the load on the human body. Though right now, a lot of products are available only as prototypes, we can presuppose that with the time flow, great progress will be made in this field.

Conclusion

It’s always inspiring to observe how technologies can be used in real life. And it is even more inspiring to see that they can be used to help people who face various difficulties caused by impairments and health states. While traditional walking aids have a lot of restrictions and drawbacks, AI can become a great booster in the development of more advanced, more powerful, and more convenient-to-use solutions. Of course, at the current moment, such solutions (even if already commercially available) have a rather limited target audience due to their high costs. Nevertheless, their appearance is already excellent proof that the work in this sphere is going on and a lot of researchers and businesses are ready to make their contributions.

In the next articles in this series, we will discuss other use cases of AI and possibilities to leverage the power of this technology. If it sounds interesting to you, just don’t miss our posts!

About the Author:

In his current position, Artem Pochechuev leads a team of talented engineers. Oversees the development and implementation of data-driven solutions for Sigli’s customers. He is passionate about using the latest technologies and techniques in data science to deliver innovative solutions that drive business value. Outside of work, Artem enjoys cooking, ice-skating, playing piano, and spending time with his family.

Artem will be speaking at the SwissCognitive World-Leading AI Network AI Conference focused on The AI Trajectory 2024 – Invest for Impact on 13th December.

Der Beitrag Advantages of AI in Building Solutions For People With Limited Mobility erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Global Investments Reshaping Tomorrow – SwissCognitive AI Radar

Welcome back to SwissCognitive’s AI Radar, the vanguard of artificial intelligence investment insights. In this edition, we’re tracking investments and deciphering the strategic manoeuvres and bold aspirations that are sculpting the AI landscape of tomorrow. This isn’t just about dollars and deals; it’s about vision and value creation in a world increasingly powered by intelligent technology.

From Google’s landmark $2 billion investment in Anthropic, challenging the OpenAI realm, to Britain’s £118 million commitment to nurturing AI skills, we are witnessing a fascinating global chess game of innovation. These moves tell us more than just where money flows; they paint a picture of where nations and corporations envision their future in an AI-integrated world.

The landscape is diverse and dynamic. In the U.S., a cradle of tech innovation, AI startups are springing up like stars in the night sky, each burning with potential. Meanwhile, the UK strategically fortifies its position, not just by funding but by opening doors to global AI talent. This is a testament to the understanding that advancing AI is not just about technology; it’s also about the human minds that drive it.

And it’s not just the tech giants or the Western world that are in this game. We see strategic partnerships forming in the Middle East with NEOM’s investment in autonomous mobility, Sequoia Capital’s growing AI portfolio indicating a broader investment trend, and insurtech startups like Sprout.ai revolutionizing traditional sectors.

Look beyond the surface of these investments and delve into what they signify for the future of technology, business, and society. It is crucial to understand not just the ‘how much’ but the ‘why’ and ‘what next.’

Previous SwissCognitive AI Radar: Billion-Dollar AI Bets.

Our article does not offer financial advice and should not be considered a recommendation to engage in any securities or products. Investments carry the risk of decreasing in value, and investors may potentially lose a portion or all of their investment. Past performance should not be relied upon as an indicator of future results.

Der Beitrag Global Investments Reshaping Tomorrow – SwissCognitive AI Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.