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 81–100
The latest wave of research in large language models (LLMs) is concentrating on the fundamental challenges of enterprise-grade deployment: reliability, efficiency, and specialized performance. Crucially, new theoretical work published on arXiv CS....
Read article →A recent surge in academic research points to significant advancements in artificial intelligence for vision and image processing, with a pronounced focus on enhancing reliability, enabling on-device intelligence, and improving contextual understanding in complex operational envi...
Read article →While enterprise adoption of artificial intelligence accelerates, exemplified by deployments like McDonald's drive-thru chatbots, a critical, unmodeled risk to AI's sustained efficacy is emerging: the displacement of the very human expertise required for its continuous improvemen...
Read article →Recent research published on arXiv reveals significant reliability concerns regarding Large Language Models (LLMs) when deployed in educational capacities, particularly highlighting issues of sycophancy and the inadequacy of current benchmarking methodologies. These findings unde...
Read article →A recent surge in AI research, highlighted by numerous papers published on arXiv CS. AI, points to concerted efforts aimed at enhancing the reliability, consistency, and operational efficiency of large language models (LLMs) and multimodal LLMs (MLLMs)....
Read article →The observation that limestone may not be the exclusive primary raw material for Portland cement production has been presented, suggesting a potential avenue for addressing manufacturing emissions Ars Technica. This development indicates a fundamental re-evaluation of established...
Read article →Two recent pre-print research papers published on arXiv highlight significant advancements in applying artificial intelligence to enhance the reliability and diagnostic utility of Brain-Computer Interface (BCI) systems, specifically addressing the persistent challenge of electroe...
Read article →The landscape of Artificial Intelligence innovation continues to diversify, with two distinct approaches recently highlighted. While AI video generation startup Runway is making a strategic bet on developing "world models" through advanced video generation, aiming to challenge es...
Read article →The reliability and integrity of large language models (LLMs) are central concerns for enterprise adoption. Two new research papers, published on May 15, 2026, on arXiv CS....
Read article →A novel unsupervised method, Exemplar Partitioning (EP), has been introduced to construct interpretable feature dictionaries from large language model (LLM) activations, achieving approximately 10^3 times fewer tokens than comparable sparse autoencoders (SAEs) arXiv CS. LG....
Read article →Recent research published on arXiv introduces a series of advancements in machine learning interpretability and reliability, addressing critical challenges for enterprise-grade AI deployments. These papers, uniformly released on May 15, 2026, propose novel methods for precise kno...
Read article →A new reinforcement learning algorithm, Conservative Peng's Q($\lambda$) (CPQL), has been proposed, marking a significant step towards more reliable and predictable autonomous systems operating within constrained enterprise environments. This model-free offline multi-step algorit...
Read article →The collective publication of six distinct research papers on arXiv CS. LG today, May 15, 2026, signals a critical inflection point in the maturation of generative models, particularly diffusion and flow-matching techniques....
Read article →New research published on arXiv CS. LG on May 15, 2026, has identified a critical vulnerability in recursive learning systems termed "silent collapse," where internal model degradation proceeds undetected by standard metrics until it becomes irreversible arXiv CS....
Read article →A cluster of nine distinct research papers, all published simultaneously on arXiv CS. LG on May 15, 2026, signals a focused and substantial progression in the field of reinforcement learning (RL) and agent systems....
Read article →Recent disclosures have provided a glimpse into forthcoming developments across the gaming hardware and software landscape. Brazil's Anatel regulator has inadvertently published images of what appears to be Microsoft's upcoming Xbox Elite 3 controller, hours after a smaller Xbox ...
Read article →Cerebras, a significant entity in high-performance computing, has successfully raised $5. 5 billion, signaling the commencement of the 2026 IPO season TechCrunch....
Read article →A significant zero-day exploit has been identified that completely bypasses the default BitLocker encryption protections in Windows 11. This revelation, published by Ars Technica, underscores a critical failure point in endpoint security at a moment when enterprises are also cont...
Read article →Two recent research papers, published on arXiv CS. LG on May 14, 2026, introduce novel frameworks aimed at enhancing the robustness and applicability of graph learning and neural network-based combinatorial optimization....
Read article →New research published on arXiv introduces critical advancements addressing fundamental challenges in the reliability of autonomous AI software-engineering agents and the efficient, scalable deployment of specialized Large Language Models (LLMs) within enterprise environments. Th...
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