Nvidia-led researchers unveiled DreamDojo, a robot “world model” trained on 44,000 hours of human egocentric video to help ...
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
Scientists at Hopkins, University of Florida simulate and predict human behavior during wildfire evacuation, allowing for improved planning and safety ...
Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
In its research, Microsoft detailed three major signs of a poisoned model. Microsoft's research found that the presence of a backdoor changed depending on where a model puts its attention. "Poisoned ...
Abstract: With the advancement of radio frequency integrated circuit (RFIC) technology, neural network-based behavioral modeling of RFICs has become an emerging research focus. However, most existing ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation ...
In a striking leap toward safer self-driving cars, researchers at Texas A&M University College of Engineering and the Korea Advanced Institute of Science and Technology have unveiled a new artificial ...
OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...
The United Nations Development Programme (UNDP) in Kazakhstan, in partnership with the Ministry of Internal Affairs of the Republic of Kazakhstan and with financial support from the U.S. Bureau of ...
MCLEAN, Va.– November 25, 2025: CORAS, the only IL5-authorized Agentic AI Decision Intelligence platform in the Department of War (DoW), announced today that it has been awarded a contract with the ...
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