Split D.C. Circuit upholds Pentagon’s blacklisting of Anthropic under supply-chain act
The ruling conflicts with a Northern District of California decision last month that found the designation unlawful under a different statute....
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Adrian Cole
Infrastructure Correspondent
Chips & Infrastructure
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.
Articles by Adrian
905 published articles · Showing 81–100
arXiv preprint reports 34% drop in large pedestrian prediction errors
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 →SemiAnalysis releases China datacenter model, pegs fleet at 24 GW
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 →Meta confirms Muse chatbot gives users full filesystem access
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 →Crusoe drops $1.25 billion Boom turbine deal for AI data centres
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 →OpenAI Adds Courses for Developers, Leaders, Educators, Students
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 →Anthropic's Claude Opus 5.5 Debuts on Amazon Bedrock and Perplexity
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 →Research Tackles Fundamental Challenge of Accurate Physical Model Discovery for Enterprise Applications
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 →Foundational AI Research Addresses Adaptability and Reliability Challenges for Enterprise Systems
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 →Algorithmic Generalization Uncertainty Persists in Educational Predictive Models, arXiv Study Highlights Fundamental AI Challenge
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 →Vision-Language Models Transition from Static Observation to Physical Interaction, While Battling Reliability Challenges
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 →Novel Reinforcement Learning Architectures Emerge for Decentralized Grid Control and Wind Farm Optimization
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 →LLM Research Surge Targets Enterprise Reliability, Autonomy, and Global Deployment Challenges
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 →Foundational AI Research Unpacks Reasoning Mechanisms, Highlights Quantization Risks for Enterprise Systems
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 →Evaluating AI's Reliability for Stochastic Systems: Persistent Challenges in Gradient Estimation and Optimization
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 →Enterprise IAM Architectures: A Structural Inadequacy for Agentic AI Identities
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 →Enterprise Robotics and Multi-Agent Systems: Addressing Foundational Challenges for Operational Reliability
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....
Read article →Research Advances Target LLM Reliability and Cost-Efficiency for Enterprise Deployment
A significant trend has emerged in recent artificial intelligence research, signaling a concerted effort to enhance the reliability, efficiency, and deterministic capabilities of Large Language Models (LLMs) for enterprise applications. A notable development includes the introduc...
Read article →Agentic AI: Enterprise Velocity Meets Foundational Reliability Challenges
Sea Limited has initiated a significant deployment of OpenAI's Codex across its engineering teams, signaling a strategic imperative to accelerate AI-native software development throughout its extensive operations in Asia [OpenAI Blog]. This enterprise-level commitment to agentic...
Read article →Concurrent arXiv Research Addresses Enterprise AI Graphics Challenges: A Focus on Stability and Total Cost of Ownership
Three distinct research papers, all published concurrently on arXiv, highlight significant advancements in artificial intelligence aimed at resolving fundamental efficiency and quality issues within generative graphics and real-time rendering. These papers introduce novel approac...
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