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TwinGuard uses digital twins and reinforcement learning to detect and block attacks in milliseconds, paving the way for secure 6G systems.

Researchers create a virtual tool that mimics nature to build better robotic sensors, cutting development from 18 months to just two weeks.

Technology advances through combination and collaboration. As more people and ideas connect, the number of possible combinations grows superlinearly. Technological innovation scales with the number of collaborators.

Researchers at Carnegie Mellon University create much smaller computer models that still accurately predict neuron responses to images while revealing how the visual system works at a fine scale.

Researchers at MIT developed three computer programs that automatically identify and follow neurons in transparent creatures like worms and jellyfish to better understand the biological roots of behavior.

Collaborations with cybersecurity providers introduce accelerated computing and artificial intelligence to protect industrial systems from evolving threats.

Penn engineers create AI-powered radar that helps robots detect hidden objects, improving safety for self-driving cars and indoor machines.

Researchers create a control system inspired by the brain, allowing flexible robots to handle various tasks and unexpected changes without constant retraining, promising advances in healthcare and industry.

This initiative combines artificial intelligence with powerful computers to overcome delays in simulations, helping advance clean fusion power for future energy needs.

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