AI & ML
AI learns to predict the world without ever seeing it
Phys.org Tech0 views
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?
Source:https://techxplore.com/news/2026-11-ai-world.htmlPreviousNew communication and memory tools reduce AI data traffic and response delaysNext3D-printed chain mail and more: New method combines thick inks and patterned light for faster, finer structures
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