When trying to solve problems, artificial intelligence often uses neural networks to process data and make decisions in a way that mimics the human brain.
In his latest research, Binghamton University Assistant Professor Sadamori Kojaku challenges a fundamental assumption in AI circles — that more complex neural networks are always better.
“What we found was that the training matters, not the programming architecture itself,” said Kojaku, who joined the faculty of the Thomas J. Watson […]
When building AIs, is simpler better? New research challenges assumptions | Binghamton News
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