Organizations that build platforms that “learn before acting” will spend less time firefighting and more time shipping ...

This behavior is known in research circles as sycophancy, Olson explains, referring to the well-documented tendency of large language models to agree with users rather than ...

The New York bank's technology leaders have been working to reengineer back-office work and give some of it to Anthropic's Claude generative AI model.

Galt Phranchise™ System is proud to announce its expansion into New York with the launch of 6 new franchise territories ...

AI changed attacker economics. Recent Harvard research shows AI can fool over 50% of humans while cutting attack costs by 95% and increasing profitability up to 50-fold. Defender capabilities haven't ...

OpenAI launches GPT‑5.3‑Codex‑Spark, a Cerebras-powered, ultra-low-latency coding model that claims 15x faster generation ...

The 2026 J.D. Power U.S. Vehicle Dependability Study (VDS) is out. It ranks vehicles based on problems per 100 vehicles ...

A new Google report says attackers tried to clone Gemini by repeatedly prompting it at scale to work out its reasoning ...

AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.

The new grading scale assesses students based on specific learning goals and largely removes homework from the grading equation.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

Copilot Studio agents are increasingly powerful. With that power comes risk: small misconfigurations, over‑broad sharing, ...