Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
The ability to predict and make new materials faster highlights the need for safety, reliability, and accurate data.
How people interpret musical notes depends on the types of music they have listened to, researchers find.
Researchers combine deep learning and symbolic reasoning for a more flexible way of teaching computers to program.
The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.
Professor honored for work on the nature and origins of intelligence in the human mind and applying that knowledge to build human-like intelligence in machines.
New investment supports intelligence research, student fellowships.