The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight concerns as enterprises increasingly fine‑tune open‑weight models with ...

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: This study investigates the problem of joint optimization of transit network design, timetable, and passenger assignment with exact transfer behavior modeling. The problem is formulated as a ...

Introduction: The integration of artificial intelligence (AI) into education is rapidly increasing worldwide and governments actively promote teachers’ positive attitudes toward AI and its use in ...

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...

In this guide to the canine adolescent years, Christopher Pachel, DVM, DACVB, CABC (IAABC), breaks down this critical phase—from hormones to the prefrontal cortex—based on his 2026 VMX session in ...

NVIDIA's new approach combines synthetic data generation with reinforcement learning to train CLI agents on a single GPU, cutting training time from months to days. NVIDIA has released a detailed ...