Ivan Poupyrev
@ipoupyrev • 4,947 subscribers
Founder, CEO at @PhysicalAI. Tech leader and executive, interaction designer, scientist. Google, Disney, Sony before. 2019 National Design Award. TED speaker.
Videos
At first glance, it looks like activity recognition. But look closer: the model isn't just detecting "typing" but spontaneously distinguishing right-hand from left-hand keystrokes. We didn't train Newton, our foundation model, to do this. No explicit labels. No supervision. Archetype AI #PhysicalAI
Ivan Poupyrev47,616 次观看 • 5 个月前
TimeFusion is built on a new multimodal encoding and decoding framework based on Universal Tokens. This approach can easily extend to a wide range of modalities beyond time-series data and language. Here’s a preview of our ongoing work using Universal Tokens to unify images, sensor data, and language in a single embedding space. This allows dynamic cross-modal mappings—such as converting a video stream directly into physical measurements, all controlled through natural language. #PhysicalAI #multimodal
Ivan Poupyrev36,361 次观看 • 5 个月前
Latest from Archetype AI demo land: This is Newton distinguishing between two people using the same phone. But how? Everyone has a slightly different way of typing. Newton understands the micro-differences in motion, which are mapped clearly in the embedded space (on the right). We never explicitly trained Newton to do this. Our Physical AI foundation model is capable of detecting emergent behaviors — so instead of multiple vertical AI solutions, organizations can leverage Newton to generalize across hundreds of sensor types and support a broad range of use cases. #PhysicalAI #FoundationModel
Ivan Poupyrev12,917 次观看 • 3 个月前
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