Agentic world models are aiding the advancement of AI in mental health. Embodiment and psychological grounding come to the fore. An AI Insider scoop.
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 ...
"Safety alignment is only as robust as its weakest failure mode," Microsoft said in a blog accompanying the research. "Despite extensive work on safety post-training, it has been shown that models can ...
Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
Scientists at Hopkins, University of Florida simulate and predict human behavior during wildfire evacuation, allowing for improved planning and safety ...
Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...
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 ...
MOODUS, Conn. (WTNH) — It’s a special time in the school day for some Nathan Hale-Ray High School students in Moodus who get to learn how animals think and behave thanks to a behavior and training ...
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 ...
Training large AI models has become one of the biggest challenges in modern computing—not just because of complexity, but because of cost, power use, and wasted resources. A new research paper from ...