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 161–180
On May 8, 2026, a series of research papers published on arXiv CS. LG revealed critical advancements in domain-specific artificial intelligence, addressing long-standing reliability challenges in medical imaging and materials science....
Read article →Recent research published on arXiv CS. LG on May 8, 2026, reveals a concerted academic effort to enhance the robustness, reliability, and rigorous evaluation of artificial intelligence applied to complex optimization and decision-making problems....
Read article →Recent research preprints published on arXiv CS. LG demonstrate significant strides in leveraging artificial intelligence, particularly deep learning and generative models, to enhance the fidelity, robustness, and efficiency of physical system simulations....
Read article →Recent research emerging from arXiv CS. LG highlights a concerted academic effort to address core vulnerabilities in machine learning systems, focusing on reliability, interpretability, and auditability—factors paramount for their stable integration into enterprise operations....
Read article →New research, recently published on arXiv, details advancements in artificial intelligence models designed to address critical limitations in scientific discovery and engineering. These papers collectively demonstrate a focused effort within the machine learning community to enha...
Read article →On May 7, 2026, two significant developments emerged in the enterprise AI landscape: OpenAI expanded its specialized "Trusted Access for Cyber" initiative with new GPT-5. 5 models, while Sakana AI unveiled an innovative 7-billion parameter model designed for automated, dynamic or...
Read article →Recent research published on arXiv CS. LG outlines significant advancements aimed at mitigating the substantial resource demands of Large Language Models (LLMs) and rigorously evaluating the reliability of LLM-generated code....
Read article →Recent research published on arXiv CS. AI on May 7, 2026, details significant architectural and optimization breakthroughs for Large Language Models (LLMs), introducing methods such as Lossless Context Management (LCM) and the Parallel Prefix Speculative Engine (PARSE)....
Read article →A recent development in the Musk v. Altman trial has illuminated a complex historical dynamic between Elon Musk's various AI initiatives and OpenAI....
Read article →The latest revisions published on arXiv CS. LG underscore the complex and dual nature of progress in predictive learning and forecasting, a foundational paradigm for modern artificial intelligence....
Read article →On May 5, 2026, a series of research papers published on arXiv CS. AI highlighted significant progress and persistent challenges in leveraging artificial intelligence for advanced robotics and automation....
Read article →The deployment of sophisticated artificial intelligence models, particularly Large Language Models (LLMs), onto resource-constrained edge hardware, alongside the persistent complexity of integrating sensor-driven AI applications across the edge-to-cloud continuum, remains a signi...
Read article →A recent study published on arXiv CS. LG reveals a critical vulnerability in how leading large language models (LLMs) handle basic counting tasks arXiv CS....
Read article →A series of recent research papers published on arXiv highlight the increasing sophistication of AI applications in scientific discovery and data analysis, addressing critical challenges presented by the escalating scale and complexity of domain-specific datasets. These advanceme...
Read article →On May 5, 2026, arXiv CS. AI disseminated a substantial collection of new research in artificial intelligence, specifically within the domain of computer vision and image processing....
Read article →Apple has agreed to a $250 million settlement in a class action lawsuit, addressing claims that it misled customers regarding the availability of its advertised "Apple Intelligence" features. This proposed resolution, disclosed today, directly impacts purchasers of specific iPhon...
Read article →As artificial intelligence systems continue their integration into critical enterprise workflows, recent developments highlight a bifurcated trajectory: advancements in operational reliability alongside intensifying legal scrutiny over foundational data. OpenAI has announced sign...
Read article →The automotive industry is actively exploring the integration of Artificial Intelligence (AI) to dramatically shorten traditional vehicle design and manufacturing timelines, which currently extend to five years or longer The Verge. This strategic pivot is driven by the imperative...
Read article →New research from arXiv CS. AI introduces critical advancements aimed at enhancing the reliability and verifiability of AI systems within enterprise geospatial analysis workflows....
Read article →A significant advancement in causal inference, M-CaStLe, has been introduced, offering a method to uncover local causal structures within high-dimensional, multivariate space-time gridded data. This development addresses a long-standing challenge in enterprise analytics: accurate...
Read article →