How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...
Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...
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This Texas university will be the first to work with Space Force to thwart extraterrestrial threats
The Texas Space Commission provided $9.3 million for the lab at UT Austin to help the space service incorporate "emerging technologies." ...
Newsable Asianet News on MSN
IIT Guwahati researchers tackle Wikipedia errors to improve AI models
IIT Guwahati researchers developed a multilingual, scalable method to find and fix Surface Name Errors in Wikipedia. The method, using frequency patterns, was validated across eight languages and ...
Live Science on MSN
'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
The AI company claims DeepSeek, Moonshot, and MiniMax used fraudulent accounts and proxy services to extract Claude’s ...
Tech Xplore on MSN
Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer
A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph ...
The student was equipped with Cybersecurity AI, known as CAI, an agentic framework that integrates large language models with ...
Anthropic alleges Chinese AI labs including DeepSeek, Moonshot and MiniMax used fake accounts to distill Claude, raising new ...
From space exploration to artificial intelligence, modern scientific breakthroughs depend on moving large amounts of data ...
In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...
Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.
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