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The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.
While the study of the SARS-CoV-2 virus was the most urgent priority, biologists also learned more about how brains process information, how to define individuality and why sleep deprivation kills.
Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains.
Computer scientists are trying to build an AI system that can win a gold medal at the world’s premier math competition.
AI tools are shaping next-generation theorem provers, and with them the relationship between math and machine.
After translating some of math’s complicated equations, researchers have created an AI system that they hope will answer even bigger questions.
The problem of common-sense reasoning has plagued the field of artificial intelligence for over 50 years. Now a new approach, borrowing from two disparate lines of thinking, has made important progress.
To combat resistant bacteria and refill the trickling antibiotic pipeline, scientists are getting help from deep learning networks.
By teaching machines to understand our true desires, one scientist hopes to avoid the potentially disastrous consequences of having them do what we command.