Tech Xplore on MSN

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
InfoQ

Meta Details GEM Ads Model Using LLM-Scale Training, Hybrid Parallelism, and Knowledge Transfer

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
Semiconductor Engineering

LLM- Based Techniques To Support Behavior-Driven Development For HW Design (U. of Bremen, DFKI)

A new technical paper titled “LLM-based Behaviour Driven Development for Hardware Design” was published by researchers at ...
Forbes

The Race To Develop Self-Directed AI Systems Capable Of Scaling Without Human Oversight

As researchers and startups push AI toward autonomous, self-improving systems, the race is on to unlock massive scale, without sacrificing human control. The race is on. A race where AI no longer ...
Unite.AI

AI’s Next Scaling Law: Not More Data, but Better World Models

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...
Yahoo Finance

Cerebras Delivers End-to-End Training and Inference for Jais 2, the World’s Leading Open Arabic LLM

Trained on the industry’s largest, highest-quality Arabic-first dataset, Jais 2 sets new standards for accuracy, fluency, and cultural intelligence SUNNYVALE, Calif., December 09, 2025--(BUSINESS WIRE ...
News-Medical.Net on MSN

NSLLMs: Bridging neuroscience and LLMs for efficient, interpretable AI systems

Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).
Wired

How Neuro-Symbolic AI Breaks the Limits of LLMs

As AI systems have advanced rapidly, with large language models (LLMs) at the center, every tech executive has experienced their limits—when AI systems struggle with complex problem-solving, produce ...
Hosted on MSN

Anthropic study reveals it's actually even easier to poison LLM training data than first thought

Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a recent blog post, Anthropic explains that as few as "250 malicious ...