Categories: AI/ML News

AI learns to predict the world without ever seeing it

Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?

Nvidia’s founding couple donates $50M for AI computing at alma mater Oregon State University

October 17, 2022

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Simulated proving ground trains and assesses AI for actively controlling fluid dynamics

A platform for training and comparing machine learning models to actively reduce drag, improve lift, cut noise and manage heat has been launched by an international team that includes researchers at the University of Washington, University of Michigan Engineering, RWTH Aachen University and the Technical University of Munich.

August 27, 2026

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Efficient AI technology for MRI data analysis

An algorithm developed by researchers from Helmholtz Munich, the Technical University of Munich (TUM) and its University Hospital rechts der Isar, the University Hospital Bonn (UKB) and the University of Bonn is able to learn independently across different medical institutions. The key feature is that it is self-learning, meaning it…

September 7, 2022

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AI Generated Robotic Content