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DuctGPT combines physics modeling and conversational artificial intelligence to rapidly predict alloys suitable for the extreme conditions in fusion reactors.

Penn engineers create mollifier layers to help artificial intelligence work backward from observations and uncover hidden natural processes more reliably.

Framework shows how to combine human judgment with artificial intelligence for better results across key areas like healthcare and governance.

Autonomous device developed through lab-industry partnership enables continuous, low-impact sampling and real-time analysis of genetic traces from aquatic life at reduced cost.

Custom deep-learning system uncovers early clues that predict how starving bacteria form complex structures.

System uses existing speaker and microphone plus artificial intelligence to follow finger and wrist motions in real time without added hardware.

Physics-informed artificial intelligence prevents molecular breakdown and supports longer, more reliable simulations for chemistry research.

Low-power sensors and artificial intelligence allow tiny drones to operate in fog, smoke, and darkness where vision-based tools fail.

New implantable device enables typing speeds close to normal by decoding imagined finger movements, offering hope beyond slow eye-tracking systems.

These innovative machines, called legged metamachines, use AI to evolve unique designs that allow them to adapt, move freely outdoors, and survive damage like living creatures.