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AI House Davos

Embodied AI refers to AI integrated into physical systems that can perceive, reason, and act in the real world through sensors and actuators, like robots and autonomous vehicles. This fireside conversation explores how advances in AI like vision–language–action models are redefining what machines can understand and do, especially as we move from navigation to mobile manipulation. The speakers discuss how quickly today’s rapid progress in AI might transfer to robotics and embodied systems, and how soon we can expect to see these technologies making a tangible impact on our daily lives.

Speakers.
Yann LeCun (Advanced Machine Intelligence, Founder and Executive Chairman)
Marc Pollefeys (ETH Zürich and Faculty, ETH AI Center, Professor)

© AI House Davos 2026
Founders & Strategic Partners:
ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo.

Presenting Partners:
KPMG.

AI in Charge: Large-Scale Experimental Evidence on Electric Vehicle Charging Demand

Asynchronous firing and off states in working memory maintenance.

Mozumder, Wang et al. use high-density recordings in macaque prefrontal and parietal cortex to show that working memory is sustained by asynchronous spiking activity without prolonged silent periods. Off states are characterized by relatively decreased information decoding and are synchronized between areas. The balance between asynchronous firing and off states determines memory maintenance.

Silicon Is Coming to Smartphone Batteries for a Big Energy Boost

A novel lithium-ion battery that uses silicon in its anodes may have the highest energy density of any battery currently commercially available. Its manufacturer, Enovix, says it has shipped the new battery to a leading smartphone company for a debut in mobile phones later this year.

Many of the lithium-ion batteries that power everything from mobile devices to electric cars use graphite in their anodes. However, for decades, researchers have investigated silicon as a replacement for this graphite. In theory, silicon offers roughly 10 times the energy density of graphite in lithium-ion batteries.

“Basically, graphite holds on to lithium using holes in its structure,” says Raj Talluri, CEO of Enovix. “In contrast, with silicon in the anodes—usually a silicon oxide or a silicon carbide—lithium actually chemically combines with the silicon to form a new material. This lets a silicon-based anode hold on to much more lithium than graphite during charging. When the battery discharges, the silicon material goes back to its original state.”

With some help from AI, your next move can be predicted

AI might know where you’re going before you do. Researchers at Northeastern University used large language models, the kind of advanced artificial intelligence normally designed to process and generate language, to predict human movement.

How RHYTHM predicts human movement RHYTHM, their innovative tool, “can revolutionize the forecasting of human movements,” forecasting “where you’re going to be in the next 30 minutes or the next 25 hours,” said Ryan Wang, an associate professor and vice chair of research in civil and environmental engineering at Northeastern.

The hope is that RHYTHM will improve domains like transportation and traffic planning to make our lives easier, but in extreme cases, RHYTHM could even be deployed to respond to natural disasters, highway accidents and terrorist attacks.

New heat-shrinking method integrates electronic circuits on irregular shapes

Most electronics are built on flat, stiff boards, which makes it incredibly difficult to fit them onto curved and irregular shapes we find in the real world, such as human limbs or curved aircraft wings. While flexible electronics have made some progress, they are often not durable enough or are too complex to manufacture for everyday use.

Smart Golden Cities of the Future: 1 Hour Exploring Nature & Sci-Fi Innovation in 2050

Step into the future with “Smart Golden Cities of the Future”, a 1-hour journey exploring how technology and nature will merge to create sustainable, intelligent cities by 2050. In this immersive video, we’ll dive deep into a world where urban spaces are powered by Sci-Fi innovation, green infrastructure, and advanced technologies. From eco-friendly architecture to autonomous transportation systems, discover how the cities of tomorrow will function in harmony with the environment. Imagine a future with clean energy, smart public services, and a thriving connection to nature—where sustainability and futuristic technology drive every aspect of life. Join us for an hour-long exploration of the Smart Cities of 2050, as we uncover the incredible possibilities and challenges of creating urban spaces that work for both people and the planet. ✨ This video was created with passion and love for sharing creative production using AI tools such as: • 🧠 Research: ChatGPT • 🖼️ Image Creation: Leonardo, Midjourney, ImageFX • 🎬 Video Production: Veo 3.1, Runway ML • 🎵 Music Generation: Suno AI • ✂️ Video Editing: CapCut Pro 💡 Note: All of the above AI tools are subscription-based. This project combines imagination and creativity from my perspective as a mechanical engineer who loves exploring the future. 🙏🏻 Please Support: • ✅ Subscribe • 👍 Like • 💬 Comment Thank you so much for watching!I hope you enjoy this journey and gain inspiration from this creative experience ❤️ #SmartCities #Sustainability #FutureOfLiving #SciFiInnovation #EcoFriendlyCities #midjourney #veo3 #sunoai

Ben & Marc: Why Everything Is About to Get 10x Bigger

The media and tech landscape is undergoing a significant transformation driven by advancements in AI, technology, and new structures, enabling entrepreneurs and companies to achieve exponential growth and innovation ## ## Questions to inspire discussion.

Building Your Own Platform.

🚀 Q: How can writers escape traditional media constraints? A: Launch on decentralized platforms like Substack where you build your own brand and business as a “non-fungible writer”, potentially creating organizations 10x larger than traditional media companies you’d work for.

💰 Q: What makes writer-led platforms attractive investments? A: Platforms become cornerstone franchises when writers only succeed by making the platform successful, creating aligned incentives that generate significant returns while enabling top talent to build independent businesses.

📊 Q: What content opportunity exists in decentralized media? A: A barbell market is emerging with mainstream filler content on one end and massive untapped demand for high-quality niche content on the other, creating opportunities across various specialized domains.

Leveraging AI for Business.

Continue reading “Ben & Marc: Why Everything Is About to Get 10x Bigger” | >

Tesla Ending FSD Sales Because the Value Is About to Change

Tesla is ending the one-time purchase option for Full Self-Driving (FSD) and shifting to a monthly subscription model, likely to recapture the value of the technology as it advances towards full autonomy and potential expansion into a robo-taxi fleet ##

## Questions to inspire discussion.

Investment Signal.

🎯 Q: Why is Tesla ending FSD one-time purchases after February 14?

A: Tesla is stopping FSD sales because autonomy is approaching a major inflection point where value will step-change when drivers are out of the loop, and Tesla wants to avoid locking in one-time payments at legacy prices before entering the real robo-taxi world.

Revenue Model Transformation.

Continue reading “Tesla Ending FSD Sales Because the Value Is About to Change” | >

Physicists employ AI labmates to supercharge LED light control

In 2023, a team of physicists from Sandia National Laboratories announced a major discovery: a way to steer LED light. If refined, it could mean someday replacing lasers with cheaper, smaller, more energy-efficient LEDs in countless technologies, from UPC scanners and holographic projectors to self-driving cars. The team assumed it would take years of meticulous experimentation to refine their technique.

Now the same researchers have reported that a trio of artificial intelligence labmates has improved their best results fourfold. It took about five hours.

The resulting paper, now published in Nature Communications, shows how AI is advancing beyond a mere automation tool toward becoming a powerful engine for clear, comprehensible scientific discovery.

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