Topics

Researchers introduce recursive language models that help AI handle very long texts without losing accuracy, using self-calls and code environments to break down and analyze information efficiently.

This innovation separates core logic from search methods in AI systems, making it easier to fix mistakes and improve performance without major code changes.

A neuromorphic system that emulates large networks of spiking neurons, rivaling the estimated rate of operations in the human brain

Columbia Engineering researchers create a robot that learns lip movements for speech and singing by watching itself and people, improving human-robot interactions.

Penn State researchers develop a method called ZENN that helps artificial intelligence adapt to differences in data quality for better scientific discoveries.

How do we build a future where AI and economic systems amplify human potential instead of exploiting it? John Clippinger highlights the shift from "casino logic" to a symbiotic framework.