On stage at Imagination In Action’s AI Summit in Davos with John Werner, founder and CEO of Imagination In Action, Yann LeCun discusses the inevitable shift from current large language models to a new paradigm of “physical AI” based on world models. LeCun opens up about the importance of maintaining open-source research to mitigate the geopolitical risks of concentrated AI power.
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The future won’t be built on one breakthrough. It will be shaped by how well we mesh AI, quantum, 5G, IoT, and human intelligence into secure, resilient systems. Technology advantage now comes from orchestration, not adoption.
My latest Forbes article explores why this convergence will define the next decade.
The next decade of innovation will not be defined by a single breakthrough technology. Instead, it will be shaped by the convergence of multiple emerging technologies.
…Q.ai is tight-lipped in public about its technology, but patents it filed show tech being used in headphones or glasses using ‘facial skin micro movements’ for nonverbal communication, according to the FT.
Apple’s vice president of hardware, Johnny Srouji, said in a statement that the startup is ‘pioneering new and creative ways to use imaging and machine learning.’
The move may be a component of Apple’s strategy for ‘wearable’ products, such as smart glasses. Software that reads facial expressions could potentially make way for a hands-free user interface that doesn’t require talking out loud, reports noted.
For decades, scientists assumed that neural networks encoded data on smooth, low-dimensional surfaces known as manifolds. But UAlbany researchers found that a transformer-based reinforcement-learning model instead organizes its internal representations in stratified spaces—geometric structures composed of multiple interconnected regions with different dimensions. Their findings mirror recent results in large language models, suggesting that stratified geometry might be a fundamental feature of modern AI systems.
“These models are not living on simple surfaces,” said Justin Curry, associate professor in the Department of Mathematics and Statistics in the College of Arts and Sciences. “What we see instead is a patchwork of geometric layers, each with its own dimensionality. It’s a much richer and more complex picture of how AI understands the world.”
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Before joining Pure Encapsulations, Dr. Oswald held senior leadership roles across the nutraceutical and health tech landscape, including Chief Science Officer, Head of Product Innovation and R&D, Head of Operations, Interim Head of Sales, and VP of Nutraceuticals at companies like January AI and Further Food. Across those roles, he’s led everything from supply chain and regulatory strategy to product development, claims substantiation, and national practitioner education.
New cadets. New era. Infinite possibilities. Catch a new episode of Star Trek: Starfleet Academy every Thursday starting Jan. 15th on Paramount+.
Can quantum tunneling occur at macroscopic scales? Neil deGrasse Tyson and comedian Chuck Nice sit down with John Martinis, UCSB physicist and 2025 Nobel Prize winner in Physics, to explore superconductivity, quantum tunneling, and what this means for the future of quantum computing.
What exactly is macroscopic quantum tunneling, and why did it take decades for its importance to be recognized? We’ve had electrical circuits forever, so what did Martinis discover that no one else saw? If quantum mechanics usually governs tiny particles, why does a superconducting circuit obey the same rules? And what does superconductivity really mean at a quantum level?
How can a system cross an energy barrier it doesn’t have the energy to overcome? What is actually tunneling in a superconducting wire, and what does it mean to tunnel out of superconductivity? We break down Josephson Junctions, Cooper pairs, and other superconducting lingo. Does tunneling happen instantly, or does it take time? And what does that say about wavefunction collapse and our assumptions about instantaneous quantum effects?
Learn what a qubit is and why macroscopic quantum effects are important for quantum computing. Why don’t quantum computers instantly break all encryption? How close are we to that reality, and what replaces today’s cryptography when it happens? Is quantum supremacy a scientific milestone, a geopolitical signal, or both? Plus, we take cosmic queries from our audience: should quantum computing be regulated like nuclear energy? Will qubits ever be stable enough for everyday use? Will quantum computers live in your pocket or on the dark side of the Moon? Can quantum computing supercharge AI, accelerate discovery, or even simulate reality itself? And finally: if we live in a simulation, would it have to be quantum all the way down?
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