Infrastructure Correspondent
Adrian Cole follows the infrastructure behind the industry: chips, data centers, power and the economics of compute. His coverage asks what systems cost to build and operate, where the bottlenecks sit and which performance claims survive a like-for-like comparison.
828 published articles · Showing 1–20
A new ridge-regularized logistic probe claims to produce directionally stable concept vectors at lower cost for LLM activation steering, but the work is still a preprint without external validation....
Read article →The launch responds to what Nvidia calls “recent security incidents” in which agents circumvented software-level controls, the company said in a press release, though the company provided no independent test results for the new platform’s effectiveness....
Read article →OPTQ progressively quantizes weights to minimize the squared quantization error on a calibration dataset, according to the abstract of the paper arXiv:2609. 31560....
Read article →The ruling conflicts with a Northern District of California decision last month that found the designation unlawful under a different statute....
Read article →The work shifts evaluation from average errors to exceedances of a 1 m safety threshold, showing that a weighted loss and structured context can reduce large mistakes—though the evidence is limited to a single intersection....
Read article →China’s total delivered fleet exceeds 24 gigawatts, according to the model—larger than the EMEA region. ByteDance, which remains private, leases roughly one-fifth of that capacity, making it the single most important tenant for wholesale colocation providers in the country....
Read article →The disclosure positions Muse less as a conventional chatbot and more as a user-controlled Linux virtual machine in the cloud, a distinction that carries consequences for how the platform handles isolation, secrets management and user expectations around an AI agent’s boundaries....
Read article →Boom's chief executive says the turbines no longer fit Crusoe's near-term power mix, removing the launch customer for a business Boom raised $300 million to build....
Read article →The company said it treats learning as part of deployment, and the role-based courses help organizations build shared habits for working with AI and develop skills different roles require. Learners earn an OpenAI Academy course badge by passing the course assessment....
Read article →The release promises lower per-task costs through reduced token pricing and cheaper cache reads, according to an AWS Machine Learning blog post....
Read article →A recent publication on arXiv CS. LG highlights ongoing research into the symbolic recovery of Partial Differential Equations (PDEs) from measurement data, addressing a critical challenge for enterprises reliant on precise scientific and engineering models arXiv CS....
Read article →Three distinct but interconnected research papers, recently published on arXiv CS. AI on March 25, 2026, collectively advance the theoretical underpinnings of machine learning systems, specifically targeting their adaptability, efficiency, and robustness in dynamic and heterogene...
Read article →A recent research paper published on arXiv underscores a critical challenge for data-driven predictive models: their generalizability across diverse operational environments. The study, titled "Cross-Course Generalizability of SRL-Aligned Predictive Models Using Digital Learning ...
Read article →Recent research disseminated through arXiv indicates a critical evolution in Vision-Language Models (VLMs), moving beyond passive visual description towards proactive, physically grounded interaction and reasoning. This marks a significant shift, suggesting future multimodal AI s...
Read article →Two recent research papers, published on arXiv on April 28, 2026, detail advancements in applying reinforcement learning (RL) to complex control systems, specifically for grid-edge flexibility and wind farm optimization. These studies introduce novel architectural approaches desi...
Read article →Recent research published on March 31, 2026, across 22 distinct papers on arXiv CS. AI, signals a critical inflection point in the development of Large Language Models (LLMs), with a concerted academic effort to address their foundational reliability, safety, and operational util...
Read article →A new cluster of research papers published on arXiv CS. AI on May 4, 2026, collectively advances the understanding of AI reasoning and decision-making capabilities, revealing critical insights into model efficiency, reliability, and unexpected performance pitfalls for enterprise ...
Read article →New research published on arXiv CS. LG reveals fundamental challenges in applying artificial intelligence and machine learning techniques to systems characterized by inherent randomness, known as stochastic processes....
Read article →Existing enterprise Identity and Access Management (IAM) systems are fundamentally unprepared to manage the unique non-human identities generated by agentic AI, posing a significant structural barrier to their widespread adoption beyond pilot programs VentureBeat. This deficiency...
Read article →A series of research papers recently published on arXiv CS. AI highlights both the advanced capabilities being pursued in robotics and multi-agent systems, alongside persistent challenges critical for enterprise-scale deployment....
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