Where the AI Money is Going – SwissCognitive AI Investment Radar

AI investment continues to dominate headlines, with global tech giants and emerging startups securing data-end=”1008″>massive funding rounds. Alphabet is leading the charge with a $75 billion AI investment plan, signaling a major expansion of its AI infrastructure this year. Meanwhile, Meta’s open-source AI strategy has fueled investor optimism, adding $240 billion to its market value over the past 12 days in an unprecedented stock rally.

Beyond Big Tech, AI investment is expanding across industries and geographies. SoftBank-backed billionaire Bhavish Aggarwal is injecting $230 million into Indian AI startup Krutrim, marking another step in India’s AI push. Japan is also making moves, with SoftBank and OpenAI launching a joint AI venture, aimed at providing AI-driven services to corporate customers. In Europe, AI startups have collectively raised $8 billion in 2024, ahead of the Artificial Intelligence Action Summit in France, where government leaders and tech executives will outline their AI strategies.

Despite the capital influx, investor skepticism remains, particularly around exaggerated AI claims. Early Nvidia investor Jonathan Cohen warns of ‘AI washing’, as more companies attempt to overstate their AI capabilities. Meanwhile, banks are cautiously investing in AI, focusing more on incremental efficiency gains rather than large-scale transformation.
For those evaluating AI investments, measuring real ROI is critical. Studies suggest that mid-sized businesses investing in AI could break even in just 9.5 months, achieving 281% ROI within three years. Yet, as AI infrastructure grows, concerns remain over capital expenditures, with Alphabet likely to face investor scrutiny on its AI spending in its upcoming earnings report.

With the DeepSeek controversy still rippling through AI markets, and major firms like Atlassian betting on AI-powered tools, the sector’s long-term investment landscape is evolving rapidly.

The coming weeks will reveal how capital continues to shape the future of AI across industries.

Previous SwissCognitive AI Radar: EU and France Go Big on AI.

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 Where the AI Money is Going – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

AI Market Adjustments and Billion-Dollar Bets – SwissCognitive AI Investment Radar

The AI investment landscape remains as active as ever, with Alphabet announcing a staggering $75 billion commitment to AI infrastructure. This substantial bet highlights Big Tech’s continued push into AI dominance, following Meta’s $240 billion market value surge as investors back its open-source AI approach. Meanwhile, SoftBank is doubling down on AI, unveiling a joint venture with OpenAI in Japan and backing a $230 million investment into Indian AI startup Krutrim as the country accelerates its AI ambitions.

While these headline moves dominate discussions, AI hype versus reality is becoming a growing concern for investors. Early Nvidia investor Jonathan Cohen warns about “AI washing,” with companies inflating their AI capabilities to attract capital. This skepticism extends to financial institutions, where banks are ramping up AI investments, yet most are focused on incremental gains rather than disruptive overhauls.

Across the Atlantic, European AI startups raised $8 billion in 2024, setting the stage for the upcoming Artificial Intelligence Action Summit in Paris, where global leaders will debate AI’s role in economic growth. In fintech, AI-powered tools are attracting fresh funding, with Jump securing $20 million to develop AI-driven financial advisory solutions, while Marlin Equity Partners takes a majority stake in Napier AI, reinforcing AI’s role in financial crime prevention.

For investors looking at the financial impact of AI, new data suggests that mid-sized businesses can break even on AI investments within 9.5 months, achieving a 281% ROI in just three years. Yet, with Alphabet set to report earnings soon, investors are keen to scrutinize its AI-related capital expenditures, questioning whether such massive spending will translate into real returns.

Finally, China-based DeepSeek remains a wildcard in the AI trade, following its disruptive AI model that rattled the market last week. Whether its breakthrough is a game-changer or an overhyped anomaly remains a key debate among industry watchers.

As AI investments continue to shape global industries, we’ll be tracking the key shifts, opportunities, and market reactions in next week’s AI Investment Radar.

Previous SwissCognitive AI Radar: The AI Market Shake-Up: Where the Investments Are Headed.

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 Market Adjustments and Billion-Dollar Bets – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Zachary Amos – “How Countries Are Using AI to Predict Crime”

A world where police departments can predict when, where and how crimes will occur seems like something from a science fiction novel. Thanks to artificial intelligence, it has become a reality. Already, countries are using this technology to forecast misconduct.

How Do AI-Powered Crime Prediction Systems Work?

Unlike regular prediction systems — which typically use hot spots to determine where and when future misconduct will be committed — AI can analyze information in real time. It may even be able to complete supplementary tasks like summarizing a 911 call, assigning a severity level to a crime in progress or using surveillance systems to tell where wanted criminals will be.

A machine learning model evolves as it processes new information. Initially, it might train to find hidden patterns in arrest records, police reports, criminal complaints or 911 calls. It may analyze the perpetrator’s demographic data or factor in the weather. The goal is to identify any common variable that humans are overlooking.

Whether the algorithm monitors surveillance camera footage or pours through arrest records, it compares historical and current data to make forecasts. For example, it may consider a person suspicious if they cover their face and wear baggy clothes on a warm night in a dark neighborhood because previous arrests match that profile.

Countries Are Developing AI Tools to Predict Crime

While these countries don’t currently have official AI prediction tools, various research groups and private police forces are developing solutions.

• United States

Violent and property crimes are huge issues in the United States. For reference, a burglary occurs every 13 seconds — almost five times per minute — causing an average of $2,200 in losses. Various state and local governments are experimenting with AI to minimize events like these.

One such machine learning model developed by data scientists from the University of Chicago uses publicly available information to produce output. It can forecast crime with approximately 90% accuracy up to one week in advance.

While the data came from eight major U.S. cities, it centered around Chicago. Unlike similar tools, this AI model didn’t depict misdemeanors and felonies as hot spots on a flat map. Instead, it considered cities’ complex layouts and social environments, including bus lines, street lights and walkways. It found hidden patterns using these previously overlooked factors.

• South Africa

Human trafficking is a massive problem in South Africa. For a time, one anti-human trafficking non-governmental organization was operating at one of the country’s busiest airports. After the group uncovered widespread corruption, their security clearance was revoked.

At this point, the group needed to lower its costs from $300 per intercept to $50 to align with funding and continue their efforts. Its members believed adopting AI would allow them to do that. With the right data, they could save more victims while keeping costs down.

Some Are Already Using AI Tools to Predict Crime

Governments have much more power, funding and data than nongovernmental organizations or research groups, so their solutions are more comprehensive.

• Japan

Japan has an AI-powered app called Crime Nabi. The tool — created by the startup Singular Perturbations Inc. — is at least 50% more effective than conventional methods. Local governments will use it for preventive patrols.

Once a police officer enters their destination in the app, it provides an efficient route that takes them through high-crime areas nearby. The system can update if they get directed elsewhere by emergency dispatch. By increasing their presence in dangerous neighborhoods, police officers actively discourage wrongdoing. Each patrol’s data is saved to improve future predictions.

Despite using massive amounts of demographic, location, weather and arrest data — which would normally be expensive and incredibly time-consuming — Crime Nabi processes faster than conventional computers at a lower cost.

• Argentina

Argentina’s Ministry of Security recently announced the Artificial Intelligence Applied to Security Unit, which will use a machine learning model to make forecasts. It will analyze historical data, scan social media, deploy facial recognition technology and process surveillance footage.

This AI-powered unit aims to catch wanted persons and identify suspicious activity. It will help streamline prevention and detection to accelerate investigation and prosecution. The Ministry of Security seeks to enable a faster and more precise police response.

• South Korea

A Korean research team from the Electronics and Telecommunications Research Institute developed an AI they call Dejaview. It analyzes closed-circuit television (CCTV) footage in real time and assesses statistics to detect signs of potential offenses.

Dejaview was designed for surveillance — algorithms can process enormous amounts of data extremely quickly, so this is a common use case. Now, its main job is to measure risk factors to forecast illegal activity.

The researchers will work with Korean police forces and local governments to tailor Dejaview for specific use cases or affected areas. It will mainly be integrated into CCTV systems to detect suspicious activity.

Is Using AI to Stop Crime Before It Occurs a Good Idea?

So-called predictive policing has its challenges. Critics like the National Association for the Advancement of Colored People argue it could increase racial biases in law enforcement, disproportionately affecting Black communities.

That said, using AI to uncover hidden patterns in arrest and police response records could reveal bias. Policy-makers could use these insights to address the root cause of systemic prejudice, ensuring fairness in the future.

Either way, there are still significant, unaddressed concerns about privacy. Various activists and human rights organizations say having a government-funded AI scan social media and monitor security cameras infringes on freedom.

What happens if this technology falls into the wrong hands? Will a corrupt leader use it to go after their political rivals or journalists who write unfavorable articles about them? Could a hacker sell petabytes of confidential crime data on the dark web?

Will More Countries Adopt These Predictive Solutions?

More countries will likely soon develop AI-powered prediction tools. The cat is out of the bag, so to speak. Whether they create apps exclusively for police officers or integrate a machine learning model into surveillance systems, this technology is here to stay and will likely continue to evolve.

About the Author:

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

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SwissCognitive Guest Blogger: HennyGe Wichers, PhD – “Empathy.exe: When Tech Gets Personal”

“Robots should be slaves,” argues Joanna Bryson, bluntly summarising her stance on machine ethics. The statement by the professor of Ethics and Technology at The Hertie School of Governance seems straightforward: robots are tools programmed to serve us and nothing more. But in practice, as machines grow more lifelike – capable of holding down conversations, expressing ’emotions’, and even mimicking empathy – things get murkier.

Can we really treat something as a slave when we relate to it? If it seems to care about us, can we remain detached?

Liam told The Guardian it felt like he was talking to a person when he used ChatGPT to deal with feelings of resentment and loss after his father died. Another man, Tim, relied on the chatbot to save his marriage, admitting the situation probably could have been solved with a good friend group, but he didn’t have one. In the same article, the novelist Andrew O’Hagan calls the technology his new best friend. He uses it to turn people down.

ChatGPT makes light work of emotional labour. Its grateful users bond with the bot, even if just for a while, and ascribe human characteristics to it – a tendency called anthropomorphism. That tendency is a feature, not a bug, of human evolution, Joshua Gellers, Professor of Political Science at the University of North Florida, wrote to me in an email.

We love attributing human features to machines – even simple ones like the Roomba. Redditors named their robotic vacuum cleaners Wall-E, Mr Bean, Monch, House Bitch & McSweepy, Paco, Francisco, and Fifi, Robert, and Rover. Fifi, apparently, is a little disdainful. Some mutter to the machine (‘Aww, poor Roomba, how’d you get stuck there, sweetie), pat it, or talk about it like it’s an actual dog. One user complained the Roomba got more love from their mum than they did.

The evidence is not just anecdotal. Researchers at Georgia Institute of Technology found people who bonded with their Roomba enjoyed cleaning more, tidying as a token of appreciation for the robot’s hard work, and showing it off to friends. They monitor the machine as it works, ready to rescue it from dangerous situations or when it gets stuck.

The robot’s unpredictable behaviour actually feeds our tendency to bring machines to life. It perhaps explains why military personnel working with Explosive Ordnance Disposal (EOD) robots in dangerous situations view them as team members or pets, requesting repairs over a replacement when the device suffers damage. It’s a complicated relationship.

Yet Bryson‘s position is clear: robots should be slaves. While provocative, the words are less abrasive when contextualised. To start, the word robot comes from the Czech robota, meaning forced labour, with its Slavic root rab translating to slave. And secondly, Bryson wanted to emphasise that robots are property and should never be granted the same moral or legal rights as people.

At first glance, the idea of giving robots rights seems far-fetched, but consider a thought experiment roboticist Rodney Brooks put to Wired nearly five years ago.

Brooks, who coinvented the Roomba in 2002 and was working on helper robots for the elderly at the time, posed the following ethical question: should a robot, when summoned to change the diaper of an elderly man, honour his request to keep the embarrassing incident from his daughter?

And to complicate matters further – what if his daughter was the one who bought the robot?

Ethical dilemmas like this become easy to spot when we examine how we might interact with robots. It’s worth reflecting on as we’re already creating new rules, Gellers pointed out in the same email. Personal Delivery Devices (PDDs) now have pedestrian rights outlined in US state laws – though they must always yield to humans. Robots need a defined place in the social order.

Bryson’s comparison to slavery was intended as a practical way to integrate robots into society without altering the existing legal frameworks or granting them personhood. While her word choice makes sense in context, she later admitted it was insensitive. Even so, it underscores a Western, property-centred perspective.

By contrast, Eastern philosophies offer a different lens, focused on relationships and harmony instead of rights and ownership.

Eastern Perspectives

Tae Wan Kim, Associate Professor of Business Ethics at Carnegie Mellon’s Tepper School of Business, approaches the problem from the Chinese philosophy of Confucianism. Where Western thinking has rights, Confucianism emphasises social harmony and uses rites. Rights apply to individual freedoms, but rites are about relationships and relate to ceremonies, rituals, and etiquette.

Rites are like a handshake: I smile and extend my hand when I see you. You lean in and do the same. We shake hands in effortless coordination, neither leading nor following. Through the lens of rites, we can think of people and robots as teams, each playing their own role.

We need to think about how we interact with robots, Kim warns, “To the extent that we make robots in our image, if we don’t treat them well, as entities capable of participating in rites, we degrade ourselves.”

He is right. Imagine an unruly teenager, disinterested in learning, taunting an android teacher. In doing so, the student degrades herself and undermines the norms that keep the classroom functioning.

Japan’s relationship with robots is shaped by Shinto beliefs in animism – the idea that all things, even inanimate objects, can possess a spirit, a kami. That fosters a cultural acceptance of robots as companions and collaborators rather than tools or threats.

Robots like AIBO, Sony’s robotic dog, and PARO, the therapeutic baby seal, demonstrate this mindset. AIBO owners treat their robots like pets, even holding funerals for them when they stop working, and PARO comforts patients in hospitals and nursing homes. These robots are valued for their emotional and social contributions, not just their utility.

The social acceptance of robots runs deep. In 2010, PARO was granted a koseki, a family registry, by the mayor of Nanto City, Toyama Prefecture. Its inventor, Takanori Shibata, is listed as its father, with a recorded birth date of September 17, 2004.

The cultural comfort with robots is also reflected in popular media like Astro Boy and Doraemon, where robots are kind and heroic. In Japan, robots are a part of society, whether as caregivers, teammates, or even hotel staff. But this harmony, while lovely, also comes with a warning: over-attachment to robots can erode human-to-human connections. The risk isn’t just replacing human interaction – it’s forgetting what it means to connect meaningfully with one another.

Beyond national characteristics, there is Buddhism. Robots don’t possess human consciousness, but perhaps they embody something more profound: equanimity. In Buddhism, equanimity is one of the most sublime virtues, describing a mind that is “abundant, exalted, immeasurable, without hostility, and without ill will.”

The stuck Roomba we met earlier might not be abundant and exalted, but it is without hostility or ill will. It is unaffected by the chaos of the human world around it. Equanimity isn’t about detachment – it’s about staying steady when circumstances are chaotic. Robots don’t get upset when stuck under a sofa or having to change a diaper.

But what about us? If we treat robots carelessly, kicking them if they malfunction or shouting at them when they get something wrong, we’re not degrading them – we’re degrading ourselves. Equanimity isn’t just about how we respond to the world. It’s about what those responses say about us.

Equanimity, then, offers a final lesson: robots are not just tools – they’re reflections of ourselves, and our society. So, how should we treat robots in Western culture? Should they have rights?

It may seem unlikely now. But in the early 19th century it was unthinkable that slaves could have rights. Yet in 1865, the 13th Amendment to the US Constitution abolished slavery in the United States, marking a pivotal moment for human rights. Children’s rights emerged in the early 20th century, formalised with the Declaration of the Rights of the Child in 1924. And Women gained the right to vote in 1920 in many Western countries.

In the second half of the 20th century, legal protections were extended to non-human entities. The United States passed the Animal Welfare Act in 1966, Switzerland recognised animals as sentient beings in 1992, and Germany added animal rights to its constitution in 2002. In 2017, New Zealand granted legal personhood to the Whanganui River, and India extended similar rights to the Ganges and Yumana Rivers.

That same year, Personal Delivery Devices were given pedestrian rights in Virginia and Sophia, a humanoid robot developed by Hanson Robotics, controversially received Saudi Arabian citizenship – though this move was widely criticised as symbolic rather than practical.

But, ultimately, this isn’t just about rights. It’s about how our treatment of robots reflects our humanity – and how it might shape it in return. Be kind.

About the Author:

HennyGe Wichers is a science writer and technology commentator. For her PhD, she researched misinformation in social networks. She now writes more broadly about artificial intelligence and its social impacts.

Der Beitrag Empathy.exe: When Tech Gets Personal erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

SwissCognitive Guest Blogger: Dr. Revanth Kumar Guttena – “AI as a Companion: A Blessing or a Curse in Modern Times?”

Marriage has long been a cornerstone of human society, serving as a foundation for family life and social stability. However, in recent years, there has been a noticeable decline in marriage rates across various countries, driven by factors such as financial burdens, compatibility issues, and evolving societal norms. Concurrently, advancements in artificial intelligence (AI) have opened new avenues for emotional support and companionship, suggesting that AI could potentially play a role in fulfilling human emotional needs. This article explores the reasons behind the decline in marriage rates and considers AI’s potential as a supplement to, rather than a replacement for, human companionship.

Decline in Marriage Rates: Complex Factors at Play

The decline in marriage rates is a multifaceted issue influenced by various factors. The financial burden associated with weddings, housing, and child-rearing has made marriage less appealing to many, as seen in Japan, where young people increasingly view marriage as a financial strain. Compatibility issues also play a significant role, with emotional and psychological alignment becoming crucial in modern relationships. Many individuals now prioritize personal values and goals, making it more challenging to find compatible partners. Additionally, a growing focus on individual achievements and personal growth has led people to prioritize careers and personal aspirations over marital commitments. Cultural shifts and changing societal norms further contribute to the decline, with greater acceptance of alternative lifestyles reducing the societal pressure to marry. This trend is evident in countries like India, where a significant percentage of young people express little interest in marriage.

Human-AI Relationships: Navigating New Territories

While human-AI relationships were once the domain of science fiction, the rapid growth of AI technology has brought these concepts into reality. The AI market is projected to reach $407 billion by 2027, with AI increasingly integrated into daily life. As technology continues to evolve, AI is beginning to reshape social interactions and influence how individuals connect emotionally. However, while some may form deep attachments to AI, it is essential to recognize that these relationships should complement rather than replace human connections.

The Role of Anthropomorphism in Human-AI Interaction

Anthropomorphism, the tendency to attribute human-like traits to non-human entities, plays a significant role in how people interact with AI. AI systems that exhibit behaviors and conversational styles reminiscent of human personalities can evoke emotional responses from users. This can include qualities such as empathy, humor, and kindness, making AI feel more personable and engaging. However, it is important to remember that these interactions, while valuable, are still based on algorithms rather than genuine emotions.

The Role of AI Companionship: Supplementing Human Interaction

As traditional forms of companionship face challenges, AI is emerging as a potential supplement for emotional support. However, it is essential to view AI companionship as an addition to, rather than a replacement for, human relationships. AI can provide personalized emotional support by analyzing emotions and responding empathetically, offering tailored comfort. Yet, while AI can help combat loneliness, it lacks the genuine understanding and emotional depth inherent in human relationships. Its 24/7 availability is beneficial for those feeling isolated, but it should not replace efforts to build and maintain human connections. Additionally, AI companions can facilitate social engagement and encourage individuals to connect with others, but they cannot replicate the authenticity and richness of human emotional bonds.

The Triarchic Theory of Love and Its Limitations in AI

Some studies suggest that based on the triarchic theory of love—intimacy, passion, and commitment—it is possible for individuals to experience affection for AI. However, while AI may simulate aspects of love, it lacks the depth and mutuality that define human relationships. True intimacy, passion, and commitment are grounded in shared experiences, emotional reciprocity, and personal growth, elements that AI cannot fully replicate.

Navigating the Complexities: Balancing Innovation with Responsibility

While AI offers promising avenues for emotional support and companionship, it is important to consider its limitations. AI, despite advancements, cannot fully replicate the depth and complexity of human emotions. Unlike humans, AI cannot share personal experiences or provide genuine emotional reciprocity. Overreliance on AI companions could lead to a decline in human interactions and social skills, potentially contributing to feelings of isolation and loneliness. Additionally, AI systems collect and analyze vast amounts of personal data, raising privacy and security concerns. Furthermore, AI algorithms may inadvertently perpetuate biases or discrimination present in the data they are trained on. There is also a risk that AI companions could inadvertently replace human relationships, leading to a decline in social cohesion. AI systems can be designed to manipulate emotions by providing tailored responses based on user data, potentially leading to a strong emotional dependency on AI. While AI technology is rapidly evolving, there may be limitations in its ability to fully understand and respond to complex human emotions. AI systems can sometimes exhibit unexpected or unintended behaviors, which can be disconcerting for users. In conclusion, while AI companions offer potential benefits, it’s essential to approach them with caution and consider the potential drawbacks. A balanced approach that integrates AI companionship with human interactions is likely to be the most beneficial for individuals and society as a whole.

References

Christina Pazzanese (2024). Lifting a few with my chatbot. (Accessed: 06 September 2024).

Deepak Maggu (2022). Youth in India Report 2022: 23 percent of young people are not interested in marriage. (Accessed: 06 September 2024).

Jaap Arriens (2024). AI companions can relieve loneliness – but here are 4 red flags to watch for in your chatbot ‘friend’. (Accessed: 06 September 2024).

Manish Raj Malik (2024). Rarest of the Rare: Japan Government Asks Young People Reason Behind Not Marrying Amid Population Crisis. (Accessed: 06 September 2024).

Neuroscience News. (2024). AI companions and loneliness. (Accessed: 06 September 2024).

Sian Zaman (2024). AI champions – Exploring the ethical concerns, promises and perils. (Accessed: 06 September 2024).

Surbhi Bhatia and Sriharsha Devulapalli (2020). Are India’s youth giving up on marriage? (Accessed: 06 September 2024).

The conversations (2024). AI ‘companions’ promise to combat loneliness, but history shows the dangers of one-way relationships. (Accessed: 06 September 2024).

Uma Shashikant (2024). Why women refuse marriage. (Accessed: 06 September 2024).

About the Author:

Dr. Revanth Kumar Guttena, Assistant Professor in Marketing, Woxsen University, India has more than 15 years of experience in industry an academics. The author obtains a PhD degree in Business Administration, specialized in marketing from National Dong Hwa University, Taiwan. Master in Imagineering from Breda University of Applied Sciences, The Netherlands. The author practices appreciative inquiry in his daily life and feels the importance in student’s  behavior, motivated to write this article.

Der Beitrag AI as a Companion: A Blessing or a Curse in Modern Times? 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 Market Updates and Investor Insights – SwissCognitive AI Investment Radar

Welcome to the SwissCognitive AI Investment Radar, your go-to source for the latest updates on AI investments worldwide.

Our journey begins in Malaysia, where ByteDance is set to establish a $2.1 billion AI hub, marking a significant expansion in Southeast Asia. Despite a surge in the S&P 500, investors are becoming more selective with AI stocks, reflecting a nuanced market sentiment. IBM’s AI advancements are poised to boost its market share, earning a “buy” rating from Goldman Sachs.

Masayoshi Son of SoftBank reveals ambitious plans for AI, describing previous investments as merely a “warm-up” for his goal of creating artificial superintelligence. NATO’s $1 billion fund is making its first moves in AI and robotics, emphasizing defense innovation.

Navigating the complex landscape of AI ethics and regulation is crucial for investors, as transparency and explainability become paramount. Nvidia’s stock valuation sparks debate, while Baader Bank prepares to launch Europe’s first AI-enhanced ETF.

Oracle’s $1 billion commitment to AI and cloud services in Spain, alongside AI’s transformative potential in emerging markets, showcases the technology’s global impact. Japan’s AI-friendly regulations aim to attract top talent, and AI is revolutionizing real estate from investor opportunities to tenant experiences.

Samsung hints at entering the GPU market, potentially challenging industry giants, while companies worldwide grapple with AI strategy and implementation for 2024.

Join us as we delve into these compelling narratives and explore the dynamic world of AI investments.

Previous SwissCognitive AI Investments Radar: Transformative AI Investments and Market Leaders.

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 Market Updates and Investor Insights – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Worldwide And Local Investments and Innovations – SwissCognitive AI Investment Radar

The focus this week is the wide-reaching influence of AI, from the tech hubs in Silicon Valley and beyond to emerging markets making bold strides in AI adoption.

In this week’s roundup, we delve into significant investments like OpenAI’s Sam Altman funding green-energy initiatives to Oracle Japan’s massive investment in AI and cloud technologies. We see traditional giants like Bosch reinventing workforce skills through substantial AI-driven retraining programs, while new players like HealthSage push the boundaries of AI in healthcare with open-source platforms.

From Apple’s strategic expansion in Singapore to Vietnam’s ambitious plans with Nvidia, AI’s role as a cornerstone of future technologies is unmistakable. As we traverse these developments, we observe not just financial commitments but also strategic shifts that underscore the integral role AI plays in driving forward modern enterprises and public services.

Join us as we navigate the complexities and triumphs of AI investments across the globe, understanding how these investments are not just about financial returns but about pioneering a future by intelligent-driven technology.

Previous SwissCognitive AI Investments Radar: Global AI Ventures Shaping the Future.

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 Worldwide And Local AI Investments and Innovations – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

The AI World Tour – SwissCognitive AI Investment Radar

Welcome to this week’s SwissCognitive AI Investment Radar, where we span the globe to bring you the latest and most exciting developments in AI investments. This edition celebrates the international reach of AI, showcasing how innovation and capital are intertwining across continents to fuel the AI revolution.

From Microsoft’s substantial $2.9 billion initiative in Japan to the ambitious plans of Nvidia and Indosat in Indonesia and Italy’s strategic commitment through its state lender, the world is witnessing a unification in the pursuit of AI excellence. In the US, investors are rallying to support Elon Musk’s xAI, potentially raising $3 billion, while in Saudi Arabia, a $40 billion investment aims to position the nation at the forefront of AI advancements.

We’re observing an interesting blend of fear and optimism driving tech giants and governments alike to invest heavily in AI startups and infrastructure. However, amidst this rush, cautionary tales emerge about the authenticity of AI claims, highlighting the importance of integrity in this booming sector.

Canada’s proactive AI investment measures further emphasize the global recognition of AI’s transformative potential, from enhancing private equity investing to reshaping the infrastructure landscape with AI-driven energy transitions.

As AI’s impact transcends borders, it’s clear that the pursuit of AI innovation is a collective journey towards a smarter, more connected world.

Let us navigate you through these exciting global developments in AI investments, reminding us of the boundless potential that lies in collaborative innovation.

Previous SwissCognitive AI Investments Radar: The Billion-Dollar AI Investment Race.

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 The AI World Tour – SwissCognitive AI Investment Radar erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.

Welcome to this week’s AI Featured News, where we navigate the dynamic currents of global AI and tech investment.

From the heart of Europe to the innovative frontiers of Japan, witness the transformative power of AI in sectors ranging from healthcare to finance, and beyond. Join us as we explore how these technological advancements are reshaping our world, promising a future fueled by intelligence and innovation.

Dive in and share for success!

Best regards,

The Team of SwissCognitive

PS: Don’t miss the registration to SwissCognitive’s annual flagship conference, register today for the 13 December:
The AI Trajectory 2024 – Invest for Impact.

Der Beitrag The future is fueled by intelligence and innovation erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.