SwissCognitive Guest Blogger: Zachary Amos – “How AI Transforms EV Charging Networks”

People who drive gas-powered vehicles can lug a fuel can around if they ever run out while driving. For electric vehicle (EV) owners, it isn’t as easy. Many fear being stranded on the side of the road, which is why charging infrastructure is so important. However, chargers are often unreliable or outright out of order. Is artificial intelligence the solution?

Why EV Charging Networks Need an Overhaul

The current state of EV charging networks is less than ideal. Harvard Business School research revealed that charging stations are largely unreliable — and drivers are aware and dissatisfied. They can only successfully recharge using nonresidential stations an estimated 78% of the time, meaning one in five chargers in the United States don’t work. This makes them less reliable than the average gas pump.

Omar Asensio — the Harvard Business School fellow who led the study — said the main reason for this substandard reliability is that no one’s maintaining the stations. While these complex machines require extensive maintenance to keep the circuitry in peak shape, they are often neglected.

When electrical systems break down, equipment damage is not the only outcome. Potentially dangerous situations will occur unless companies perform electrical system maintenance regularly. Loose connections and fried circuits can ignite materials or shock users, causing injuries or death.

While the seemingly obvious solution is for drivers to recharge at home, people use home chargers just 10% of the time, according to one software company. Although modern batteries can reach hundreds of miles on a single charge, many people fear theirs will run out of power before they reach their destination, leaving them stranded. Besides, installation can be expensive, depending on their location and the type of at-home station they choose.

Companies Could Change EV Charging With AI

AI could help companies resolve the sector’s current charging challenges. For starters, it could autonomously manage loads, distributing power efficiently and safely among multiple stations. Reducing grid load — especially during peak hours — helps prevent EV charging equipment from damaging transmission lines, circuit breakers or transformers.

A study from the University of Michigan’s Transportation Research Institute proves this point. It states that large-scale, unmanaged EV charging could cause sudden current draw fluctuations, damaging the electrical grid. This inconsistency can lead to inefficient energy consumption, resulting in transformer strain. An outage is the likely outcome of accelerated equipment wear and energy waste.

Much of the U.S. power grid is already on its last legs. For instance, around 70% of the transmission lines are nearly three decades old, nearing their expected life span of 50 to 80 years. Minimizing strain with AI-powered smart load management can prevent outages while ensuring every battery is fully recharged.

A more comprehensive solution leverages predictive maintenance. Machine learning models can anticipate possible outcomes. They can use embedded, internet-enabled sensors to identify faults like a fried circuit or frayed wire. Maintenance teams would get real-time alerts, minimizing unplanned downtime.

AI could even improve battery health monitoring, maximizing charging efficiency. A research team from the United Kingdom’s Cambridge and Newcastle Universities discovered a machine learning method is 10 times more accurate than the current industry standard technique. It measures electrical pulses instead of tracking current and voltage during charge and discharge cycles. Improving EV battery reliability could transform the charging network’s layout.

Where would companies place new stations? With AI, they could analyze metrics like EV demand, travel frequency and location to determine where to build them. They could also optimize charging network design by plugging their budget, desired density and grid capacity into the algorithm.

Improving EV Charging Infrastructure With AI

Access to a reliable charging network is tightly intertwined with people’s opinions of EVs themselves — meaning companies can only make this mode of transportation more popular if they improve the reliability of the underlying infrastructure. AI is one of the few technologies that could help them fast-track this achievement.

About the Author:

Zachary Amos is the Features Editor at ReHack, where he writes about artificial intelligence, cybersecurity and other technology-related topics.

Der Beitrag How AI Transforms EV Charging Networks erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Have a peek at the latest AI breakthroughs and insights:

Oxford opens a hub for ethical AI in education
Robots mimicking empathy spark human-tech interaction debates
Google’s AI trends for 2025 reveal the next big innovations
AI interprets sign language in real time, boosting inclusivity
Crisis management evolves with AI-driven disaster preparedness
…and more!

The journey of AI innovation continues—stay inspired and informed!

Wishing you warmth and joy for the holidays!

Kind regards,

The Team of SwissCognitive

Der Beitrag AI Trends for 2025 erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: forbes.com – “ChatGPT: How Search And Chat Combined Are Changing The Way We Explore”

ChatGPT has rolled out its search function to all users, offering real-time web browsing, interactive maps, and even video playback—all within a single conversation. On devices like the iPhone 16 or 15 Pro, users can now combine voice chats with this new search capability. Whether you’re looking for holiday events, restaurant suggestions, or tips on how to say “Happy New Year” in French, German, or Korean, ChatGPT delivers information in a fluid, back-and-forth exchange.

This marks a notable shift in how we interact with the internet. Since 2000s, search engines have defined the way we access information—isolated queries, links, and lists of results.

Now, chat is redefining the experience, offering not just data but dialogue, context, and actionable insights—all in one place. Combining search with chat in AI tools marks a shift that will transform how people work, learn, socialize, entertain, and access and use information.

From “Search” to “Chat”

The shift from searching the web to chatting with AI changes the process we interact with the virtual world. Instead of typing keywords, scrolling through links, and manually piecing together information, conversational AI invites exploration of synthesized messages built on multiple rounds of chats on multiple facets of a topic.

Imagine planning a trip: “Search” offers fragmented results—lists of flights, blog posts about destinations, and ads for hotels. But “chat” unfolds as a dialogue. You might start with: Where should I visit in Indonesia for the next summer? Then refine: What historical sites should I see in Java? Why are they significant?From there, you can further the conversation with questions such as: What festivals are happening during my trip? What local customs should I be ware of? Can you recommend books or films about Indonesia’s history?[…]

Read more: www.forbes.com

Der Beitrag ChatGPT: How Search And Chat Combined Are Changing The Way We Explore erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: cio.com – “Cost, security, and flexibility: the business case for open source gen AI”

Travel and expense management company Emburse saw multiple opportunities where it could benefit from gen AI. It could be used to improve the experience for individual users, for example, with smarter analysis of receipts, or help corporate clients by spotting instances of fraud.

Take for example the simple job of reading a receipt and accurately classifying the expenses. Since receipts can look very different, this can be tricky to do automatically. To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. Both types of gen AI have their benefits, says Ken Ringdahl, the company’s CTO. The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy.

With security, many commercial providers use their customers’ data to train their models, says Ringdahl. It’s possible to opt-out, but there are caveats. For instance, you might have to pay more to ensure the data isn’t being used for training, and might potentially be exposed to the public.

“That’s one of the catches of proprietary commercial models,” he says. “There’s a lot of fine print, and things aren’t always disclosed.”

Then there’s the geographical issue. Emburse is available in 120 different countries, and OpenAI isn’t. Plus, some regions have data residency and other restrictive requirements. “So we augment with open source,” he says. “It allows us to provide services in areas that aren’t covered, and check boxes on the security, privacy, and compliance side.”[…]

Read more: www.cio.com

Der Beitrag Cost, Security, and Flexibility: the Business Case for Open Source Gen AI erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Team and Kilian Woods – “From Ethics to Efficiency: Successfully Scaling AI Across Industries” AI Trajectory 2025: AI Navigator Insights Virtual Conference Wrap-Up

Balancing rapid AI innovation with robust governance and human-centric approaches is essential for responsible development. Scaling AI effectively requires aligning it with ethical standards, sustainability goals, and transparent practices to build trust. AI’s transformative potential lies in improving efficiency, enhancing decision-making, and driving collaboration across industries like healthcare, tourism, and business, while education and upskilling remain critical for its adoption and impact.

Yesterday, the “AI Trajectory 2025: AI Navigator Insights” conference brought together global leaders and innovators to explore the transformative power of AI across industries. This dynamic event featured thought-provoking interviews, insightful panel discussions, and award-winning AI use cases, highlighting the critical balance between innovation, governance, and collaboration in shaping the future of AI.

From leveraging AI for practical integration and scaling innovation responsibly to rethinking competitive advantages in the age of generative AI, the event offered valuable takeaways for organizations and leaders worldwide. Let’s recap the key highlights:

Advancing AI Innovation with Safety at the Core

With Michael Wade

Michael Wade underscored the need to balance rapid AI development with robust governance and cross-border guidelines, emphasizing AI’s dual nature as both a transformative tool and a potential risk.

Michael Wade, Tonomus Professor of Strategy and Digital, IMD and Dalith Steiger, Co-Founder of SwissCognitive

The Five Truths for AI Practical Integration

With Markus Danhel, Amanda Obidike, Johan Steyn, James Ong, Jarrod Anderson

The panel explored strategies for scaling AI cost-effectively while balancing technology, governance, and ethics. Speakers highlighted the importance of trust-building through privacy prioritization and bias audits, integrating human empathy in decision-making, and encouraging education at all organizational levels to foster ethical AI.

Markus Danhel, Head Data & AI, IBM Switzerland, Amanda Obidike, CEO of STEMi Makers of Africa, Johan Steyn, Founder, AI & Automation Thought Leader, AI for Business, James Ong, Founder & Managing Director, Artificial Intelligence International Institute (AIII), Jarrod Anderson, Chief Artificial Intelligence Officer, SYRV.AI

Trusted Value Through GenAI in Swiss Tourism

With Michael Wegmüller and Christian Dernbach

Michael Wegmüller and Dr. Christian Dernbach showcased how generative AI transforms tourism, enhancing efficiency for managers and improving traveler engagement through data-driven insights.

Embracing Collaboration and Co-Innovation

Valeria Sadovykh, Aleksandra Przegalinska, Anita Puppe, Jeannette Gorzala, Bret Greenstein

The speakers delved into the power of partnerships in advancing AI. Discussions ranged from human-centric AI models and regional collaboration to the importance of educating the workforce to adopt and innovate responsibly.

Valeria Sadovykh, Technology Strategist, Microsoft, Aleksandra Przegalinska, Associate Professor and Vice Rector for Innovations and AI, Kozminski University, Harvard University, Anita Puppe, Senior Consultant Strategy & Business Design, IBM iX DACH, Jeannette Gorzala, CEO & Founder, Act.AI.Now, Bret Greenstein, PwC US Partner, Generative AI Leader

Rethinking Competitive Advantage in the Age of GenAI

With José Pedro Almeida

José Pedro Almeida envisioned a future with AI agents revolutionizing healthcare, advising doctors, and transforming business operations for increased efficiency and personalization.

José Pedro Almeida, Chief AI Strategist, World’s Top 70 Health AI

Investing in AI-Driven Innovation

With Jacques Ludik, Ingrid Vasiliu-Feltes, Dr. Maria Fay, Andreas Welsch, Alberto-Giovanni

The AI experts emphasized the importance of aligning AI investments with sustainability, value creation, and regulatory compliance. The panel also explored Agentic AI’s role in personalization and called for transparency and trust-building to unlock AI’s full potential.

Jacques Ludik, Founder & CEO, Cortex Logic & Cortex Group, Founder & President, Machine Intelligence Institute of Africa, Ingrid Vasiliu-Feltes, Founder & CEO Institute for Science, Entrepreneurship and Investments, Deep Tech Diplomacy & Digital Strategist, Dr. Maria Fay, AI Lead, SAP Switzerland, Andreas Welsch, Founder & Chief AI Strategist, Intelligence Briefing, Alberto-Giovanni, Chief AI Officer, HealthAI

Scaling Applied AI for Long-Term Growth

With Behshad Behzadi

Behshad Behzadi provided insights on leveraging AI for broader, more impactful transformations, addressing challenges like governance, scalability, and learning from cross-industry innovations.

Behshad Behzadi, CTO and Chief AI Officer, Sportradar

Der Beitrag From Ethics to Efficiency: Successfully Scaling AI Across Industries erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Copyright: cepr.org – “Distance From Innovation is a Barrier to the Adoption of Artificial Intelligence”

While distance may seem unimportant in the face of technological progress in transportation and communication, several studies have found that distance is a barrier to the diffusion of inventive activity and technology adoption. This column examines US firms’ adaptation and adoption of artificial intelligence in response to AI innovation. The authors find that distance from innovation hotspots reduces growth in AI research jobs as well as in jobs adapting AI to new industries, with the effect driven by AI publications rather than AI patents. Twenty percent of the overall distance effect is explained by the presence of state borders, which may impede migration and thus flows of tacit knowledge.

The extent to which geographic distance is a barrier to technological knowledge transfer is of interest to governments of countries distant from centres of knowledge creation or technology production; to entrepreneurs deciding where to locate a new firm that will need to remain abreast of technological developments; and to national or local policymakers seeking to influence the decisions of such entrepreneurs. These agents may value knowledge transfer as an input to further knowledge creation, or as a prerequisite for the adoption of new technology practices.

Distance may seem unimportant in the face of technological progress including the telephone, modern means of transportation, email, texting, the worldwide web, and video conferencing. Yet, several studies have found that distance is a barrier to the diffusion of inventive activity and to the cross-country diffusion of technology adoption, and prior work has also shown that US state borders are barriers to citations of patents. ¹ Cross-location collaboration and citing of academic papers and patents have been increased by shorter travel times, other papers have found.² […]

Read more: www.cepr.org

Der Beitrag Distance From Innovation is a Barrier to the Adoption of Artificial Intelligence erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Ashwin Tambe – “Enabling a Smart Consumer with AI based Search Experience”

A smart consumer search experience empowers shoppers to make informed decisions quickly and confidently. It transcends traditional keyword matching to grasp the deeper intent behind a search query. This includes anticipating needs by suggesting relevant products or services before the consumer even realizes they need them, offering personalized recommendations based on past browsing behavior and purchase history, and seamlessly comparing products and prices across different retailers.

Advances in semantic search, AI, and natural language processing are enabling search engines to better understand user intent, deliver personalized recommendations, and facilitate conversational interactions.

Semantic Understanding and Organized Responses

Traditional keyword-based search is giving way to semantic search, where engines try to understand the intent and context behind a query. Search is getting a major upgrade! Imagine a giant encyclopedia that not only stores information but also understands how different concepts are connected. This is what search engines are building: massive knowledge graphs that link people, places, things, and ideas together. By analyzing these connections, search engines can grasp the deeper meaning of your queries, even if you don’t use the perfect words. For example, if you search for “best running shoes for beginners,” the search engine can understand that you’re not just looking for any running shoes, but for shoes that are specifically designed for people who are new to running. This allows the search engine to deliver more insightful results, such as reviews that focus on comfort and support for new runners, or comparisons that highlight features like shock absorption and breathability.

Personalized Recommendations

Search engines are getting to know you better! By remembering your past searches, location, and other bits of information, they can curate results that fit your interests. Imagine searching for “hiking trails” and seeing suggestions for beginner-friendly paths near your city, based on your previous searches for outdoor activities.

Behind the scenes, powerful algorithms are sifting through mountains of data, like detectives looking for clues. They recognize patterns and make predictions to personalize your experience. This might mean suggesting new cookbooks based on past recipe searches, or recommending movies similar to ones you’ve enjoyed before.

Even chatting with search engines is getting a makeover! Instead of clunky text interfaces, AI-powered assistants are emerging that can have natural conversations. These chatbots can answer your questions and offer help in a more conversational way, just like talking to a friend. Imagine asking “What are the best things to do in Paris?” and having a friendly AI chat back with personalized suggestions based on your interests and travel style.

Unified Experience – One destination Endless possibilities

Imagine a world where interacting with technology feels effortless and intuitive, anticipating your needs and desires before you even express them. This is the vision of Artificial Intelligence (AI) and its role in crafting a unified user search experience.

Traditionally, navigating the digital world has often been a disjointed experience. We juggle between various apps, websites, and devices, each with its own logins, interfaces, and functionalities. AI has the potential to bridge these gaps, creating a seamless and unified experience across all interaction points.

One way AI achieves this is through personalization. By intelligently analyzing our behavior, preferences, and past interactions, AI can tailor the user experience to our individual needs. For instance, an AI-powered virtual assistant might proactively suggest restaurants based on our recent searches and past dining habits. Similarly, an e-commerce platform might curate product recommendations that align with our interests and purchase history. This eliminates the need to endlessly search through countless options, saving us time and frustration.

AI also fosters foresight. AI algorithms can anticipate our needs and provide assistance before we even request it. Imagine a smart home system that automatically adjusts the temperature based on your daily routine or a fitness tracker that prompts you for a workout when you’ve been inactive for too long. This level of anticipation creates a sense of flow and removes the need for constant manual interaction.

Furthermore, AI can break down language barriers. Imagine traveling to a foreign country and being able to have a natural conversation with locals through an AI-powered translator that understands context and subtleties. This removes communication hurdles and opens doors to richer cultural experiences.

The possibilities of a unified experience powered by AI extend far beyond personal use cases. In the healthcare industry, AI can analyze patient data to provide more personalized treatment plans and improve overall health outcomes. In the education sector, AI-powered tutors can adapt to individual learning styles, creating a more effective and engaging learning environment.

However, it’s important to acknowledge the ethical considerations surrounding AI and user experience. Data privacy concerns and the potential for prejudice in algorithms need to be addressed to ensure a truly unified and positive experience for all.

Overall, AI has the potential to revolutionize the way we interact with technology. By creating a unified experience that is personalized, proactive, and removes language barriers, AI can empower us to achieve more and unlock a world of endless possibilities.

About the Author:

Ashwin Tambe, (Delivery Management Google , Retail CPG) is a management professional with expertise in enabling customers with AI adoption and bridging business gaps with use of modern technology. Ashwin actively engages in the public discourse on Large Language Models (LLMs) by sharing his insights through articles published on various digital platforms, exploring their consumption, societal impact, and potential role in shaping the future. Beyond his professional experience, Ashwin actively contributes to the academic community.he is serving as a judge and student mentor in University of Arlington Texas.

Der Beitrag Enabling a Smart Consumer with AI based Search Experience 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.

AI’s Expanding Horizons From Chips to Startups – SwissCognitive AI Investment Radar

Welcome to the latest edition of the SwissCognitive AI Investment Radar, your guide to the flourishing world of AI investments. This year, we’re witnessing an unprecedented surge in AI’s market influence, reshaping investment strategies and fueling technological innovations across the globe.

From Microsoft’s assertive AI moves, exemplified by its venture fund M12’s strategic focus, to the impressive ascent of AI startups like Cohere, the investment landscape is abuzz with activity. We’re seeing bold ventures like OpenAI’s ‘Project Tigris’ seeking global chip fabrication partnerships, and companies like TravelPerk harnessing AI to redefine corporate travel.

The recent funding rounds – be it Rebellions’ notable foray into AI chips or Accenture’s collaboration with Unilever on GenAI – underscore the sector’s dynamic growth. Even amidst regulatory scrutiny, as seen with the FTC’s examination of AI investments, the market’s confidence remains undeterred, with companies like Alinea Invest innovatively targeting Gen Z investors.

Join us as we explore these exciting developments and chart the transformative journey of AI investments and startups in our SwissCognitive AI Investment Radar.

Previous SwissCognitive AI Investments Radar: Exploring AI & Tech Transformations.

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 AI’s Expanding Horizons From Chips to Startups – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Pioneers, Pathfinders, and Market Dynamics – SwissCognitive AI Investment Radar

Today we traverse a landscape brimming with innovation and strategic foresight. From the boardrooms of global tech giants to the creative hubs of rising startups, we gathered the stories shaping the future of AI investments. Microsoft’s M12, armed with a hefty $275 million, sets the stage for a year of synergistic ventures, emphasizing AI, cloud infrastructure, and cybersecurity. Meanwhile, the unexpected $750 million boost for AI startup Anthropic signifies a vibrant market, ripe with potential and fierce competition.

The narrative continues with TravelPerk’s substantial funding, earmarking AI-driven solutions as a game-changer in corporate travel management. On the other side of the spectrum, ElevenLabs’ ascent to unicorn status with a $1.1 billion valuation highlights the market’s appetite for innovative AI-generated voice technology.

As we pivot to more niche sectors, Broadcom’s record-high shares exemplify the market’s bullish stance on AI-driven growth, while CloudTalk’s Series B funding round underlines the pivotal role of AI in optimizing communication platforms.

In healthcare, the Bellevue AI Health (Lux) Fund stands out, pinpointing the transformative potential of Generative AI, while Bluesheets’ Series A funding marks a significant stride in AI-powered financial data processing, setting a new benchmark in automation and workflow efficiency.

Navigating this diverse terrain, the SwissCognitive AI Investment Radar remains your compass, guiding you through the nuances and narratives of AI’s present and beckoning future. As we chart this course, let’s embrace the insights and anticipate the transformative impact of AI investments across industries.

Previous SwissCognitive AI Investments Radar: The Future of Tech and Capital.

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 Pioneers, Pathfinders, and Market Dynamics – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.