A new study uses neural networks to prove that memory and individual recognition allow cooperation to defeat selfishness in the prisoner's dilemma.
The "prisoner's dilemma" is one of the most famous ideas in game theory. For decades, this game has been used to explain why selfishness often beats cooperation. In the prisoner's dilemma, two players ...
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A simple physics-inspired model sheds light on how AI learns
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a "black box." To better ...
Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.
Technology is not replacing accountants. But it is changing what accounting work involves, and the change is further along ...
Researchers at the Hospital for Sick Children in Toronto have discovered a gene that influences the behaviours commonly ...
Anthropic has published a newly devised approach to interpreting AI. They call this NLA for natural language autoencoders. An ...
Regulators are coming for the AI models themselves, and those models can’t answer the questions they’re about to be asked. ...
Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...
Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and image tissues at microscopic resolution. However, it is a struggle to put all ...
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