HAIL AI™ Introduces a New Class of AI for Public Websites

Multi-AI and Search Engine Orchestration, Controlled Through the Prismatic™ System LANTANA, FL, UNITED STATES, February ...
Morning Overview on MSN

Anthropic warns AI risk of committing heinous crimes is 'not negligible'

Anthropic has acknowledged in a formal transparency disclosure that the probability of advanced AI systems enabling or committing serious crimes is “not negligible,” a phrase that carries significant ...

Safety in AI doesn’t necessarily mean it’s trustworthy: IIT professor writes

"An AI system can be technically safe yet deeply untrustworthy. This distinction matters because satisfying benchmarks is necessary but insufficient for trust."| Technology News ...
IEEE

Privacy-Preserving Federated Learning Framework for Disease Progression Prediction via Temporal-Aware Large Language Modeling

Abstract: This study presents a novel federated learning approach for disease prediction by integrating the Chronos temporal large language model. The system addresses two critical challenges in ...
Study Finds

Does AI Really Understand What You’re Asking? New Study Raises Doubts

Scientists caught an AI model cheating on cognitive tests by bypassing instructions entirely, a troubling sign for AI ...

Medical False Statements: AI Models Trust Doctors More Than Social Media

Researchers tested 20 AI models with over 3 million queries for their susceptibility to medical misinformation.
IEEE

mmWave Radar-Based Continuous Sign Language Recognition: Lightweight Modeling, Contextual Optimization and Embedded Implementation (2025)

Abstract: Communication barriers for the hearing-impaired represent a significant societal concern. Existing sign language recognition solutions are constrained by lighting sensitivity, wearable ...
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

A marriage of formal methods and LLMs seeks to harness the strengths of both.
Communications of the ACM

The End of ‘Frozen’ LLMs?

Today’s standard operating procedure for LLMs involves offline training, rigorous alignment testing, and deployment with frozen weights to ensure stability. Nick Bostrom, a leading AI philosopher and ...