#physical-ai

#physical-ai

Artificial intelligence is undergoing a fundamental transformation, moving beyond the screen-based interactions that have dominated consumer technology for the past decade. At this year's Consumer Electronics Show (CES) in Las Vegas, the shift became particularly evident as companies showcased AI systems designed to operate directly with physical devices and smart home environments. The evolution represents a significant departure from current AI assistants, which remain largely confined to specific devices or require explicit user commands.

CEO Jensen Huang showed off Cosmos, an AI foundation model trained on massive datasets, capable of simulating environments governed by actual physics. He also announced Alpamayo, an AI model specifically designed for autonomous driving. Huang revealed that Nvidia's next generation AI superchip platform, dubbed Vera Rubin, is in full production, and that Nvidia has a new partnership with Siemens. All of this shows Nvidia is going to fight increased competition to retain its reputation as the backbone of the AI industry.

Here's the thing about CES, though: it showcases fantasies as much as it brings us what's next. People had VCRs (if you don't know what that is, go ask a grandparent or a nearby millennial) in their homes for decades. I am still waiting for flying cars to be a thing. Thus, it's good to take what you see at this show with a grain of salt. Or a gallon of it.

How should leaders prepare for AI's accelerating impact on work and everyday life? AI scientist, entrepreneur, and Pioneers of AI podcast host Rana el Kaliouby shares her predictions for the year ahead-from physical AI entering the real world to what it means to onboard AI into your org chart. El Kaliouby cuts through today's biggest AI headlines, bringing to light the insights that will matter most in the months to come.

The system combines ceiling-mounted cameras with computer vision and large language models (LLMs) to monitor what humans are doing and deciding when to lend a hand. When a person begins an action - say, reaching for papers or chopping vegetables - the AI generates a short text description of the scene and uses it to infer what might happen next. Movement commands are then sent to small, wheeled robotic bases under the objects, which the researchers call "proactive assistants."

Elon Musk's lofty vision for Tesla includes less attention on electric vehicles and a doubling-down on its autonomous robots, even as production for the bots have hit numerous snags. The Tesla CEO said on Monday 80% of Tesla's value would someday come from Optimus robots, the humanoid bot Musk's company introduced in 2021 intended to eliminate dangerous and menial factory tasks. Musk's forecast of the bots' success came shortly after Tesla revealed its " Master Plan Part IV " on Monday, outlining Tesla's goals for the future.