The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

A new approach has been proposed to address the problem of "overconfidence"—one of the most critical risks of artificial ...

Scientists have developed a new AI method that can work backward from patterns to uncover the hidden processes driving them.

In early phases of drug development, new active substances are tested in animals—alongside numerous other experimental ...

AI model finally learns to say ‘I don’t know’ in breakthrough to curb chatbot overconfidence - New training method may help ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine some exciting research that could ...

In 2026, neural networks are achieving unprecedented capabilities across industries, yet large-scale tests reveal persistent struggles with generalization. Researchers are exploring adaptive ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Below, Tom Griffiths shares five key insights from his new book, The Laws of Thought: The Quest for a Mathematical Theory of the Mind. Griffiths is a professor of psychology and computer science at ...

Not long ago, the question «Who wrote this text?» seemed almost philosophical: an author, an editor, a student, a contractor, ...