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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.
By teaching machines to understand our true desires, one scientist hopes to avoid the potentially disastrous consequences of having them do what we command.
The laws of physics stay the same no matter one’s perspective. Now this idea is allowing computers to detect features in curved and higher-dimensional space.
By ignoring their goals, evolutionary algorithms have solved longstanding challenges in artificial intelligence.
Researchers have discovered a surprising mathematical relationship in the brain’s representations of sensory information, with possible applications to AI research.
A tool known as BERT can now beat humans on advanced reading-comprehension tests. But it’s also revealed how far AI has to go.
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