Category: AI News

[ad_1] In the basement of a Boise, Idaho, dental office in 1978, four engineers founded what would become one of America’s semiconductor giants. Ward Parkinson, Joe Parkinson, Dennis Wilson, and Doug Pitman started Micron Technology as a modest design consultancy, backed by local investors including potato magnate J.R. Simplot. By 1983, they had achieved a…

[ad_1] NVIDIA announced today a significant expansion of its strategic collaboration with Mistral AI. This partnership coincides with the release of the new Mistral 3 frontier open model family, marking a pivotal moment where hardware acceleration and open-source model architecture have converged to redefine performance benchmarks. This collaboration is a massive leap in inference speed:…

[ad_1] Presented by Indeed As AI continues to reshape how we work, organizations are rethinking what skills they need, how they hire, and how they retain talent. According to Indeed’s 2025 Tech Talent report, tech job postings are still down more than 30% from pre-pandemic highs, yet demand for AI expertise has never been greater.…

[ad_1] Thomson Reuters and Imperial College London have established a frontier AI research lab to overcome historic deployment challenges. Speed and scale have defined the current AI boom. But for enterprises, the primary obstacles to deployment are different: trust, accuracy, and lineage. Addressing these barriers, Thomson Reuters and Imperial College London have announced a five-year…

[ad_1] Chinese artificial intelligence startup DeepSeek released two powerful new AI models on Sunday that the company claims match or exceed the capabilities of OpenAI's GPT-5 and Google's Gemini-3.0-Pro — a development that could reshape the competitive landscape between American tech giants and their Chinese challengers. The Hangzhou-based company launched DeepSeek-V3.2, designed as an everyday…

[ad_1] When JPMorgan Asset Management reported that AI spending accounted for two-thirds of US GDP growth in the first half of 2025, it wasn’t just a statistic – it was a signal. Enterprise leaders are making trillion-dollar bets on AI transformation, even as market observers debate whether we might be witnessing bubble-era exuberance. The conversation…

[ad_1] As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems. Why observability secures the future of enterprise AI The enterprise race to deploy LLM systems mirrors the early days of cloud adoption. Executives love the promise; compliance demands…

[ad_1] SAP is moving its sovereignty plans forward with EU AI Cloud, a setup meant to unify its efforts in the region under one approach. The goal is to give organisations in Europe more choice and control of how they run AI and cloud services. EU AI Cloud is built to support organisations using SAP’s…

[ad_1] Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run.  Anthropic believes it has solved this issue for its Claude Agent SDK, developing a two-fold solution that allows an agent to work across different context windows. “The core challenge of long-running agents is…

[ad_1] If you asked most enterprise leaders which AI tools are delivering ROI, many would point to front-end chatbots or customer support automation. That’s the wrong door. The most value-generating AI systems today aren’t loud, customer-facing marvels. They’re tucked away in backend operations. They work silently, flagging irregularities in real-time, automating risk reviews, mapping data…