Brain scan for artificial intelligence shows how software thinks

Artificial brains on games Tom Zahavy, Nir Ben Zrihem and Shie Mannor A PENNY for ’em? Knowing what someone is thinking is crucial for understanding their behaviour. It’s the same with artificial intelligences. A new technique for taking snapshots of neural networks as they crunch through a problem will help us fathom how they work, leading to AIs that work better – and are more trustworthy. In the last few years, deep-learning algorithms built on neural networks – multiple layers of interconnected artificial neurons – have driven breakthroughs in many areas of artificial intelligence, including natural language processing, image recognition, medical diagnoses and beating a professional human player at the game Go. The trouble is that we don’t always know how they do it. A deep-learning system is a black…


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