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 121–140
Four new research papers published on arXiv CS. AI on May 13, 2026, detail significant advancements in artificial intelligence that directly address critical enterprise challenges in data analysis, recommendations, and forecasting....
Read article →The simultaneous publication of four distinct research papers on arXiv today introduces several novel methodologies aimed at enhancing the efficiency, stability, and scalability of large-scale artificial intelligence systems. These developments collectively address critical bottl...
Read article →A significant cluster of new research papers, published concurrently on arXiv CS. AI on May 13, 2026, delineates substantial advancements in vision and multimodal AI....
Read article →A significant collection of research papers, simultaneously published on arXiv CS. AI on May 13, 2026, details new methodologies and analyses aimed at addressing long-standing challenges in reinforcement learning (RL)....
Read article →Recent research published on arXiv details two distinct yet complementary advancements addressing critical limitations in how multimodal large language models (MLLMs) process and comprehend long-duration video content. These developments, released on May 12, 2026, propose solutio...
Read article →Sam Altman, CEO of OpenAI, recently testified in the ongoing legal proceedings initiated by Elon Musk, countering allegations of deception and portraying Musk as attempting to exert control over the organization, even proposing a 'hair-raising' plan for generational succession Wi...
Read article →The complex deployment of artificial intelligence systems continues to present a bifurcated reality for enterprise operations: demonstrating remarkable precision in some applications while simultaneously exposing significant systemic oversights in others. A notable incident invol...
Read article →The widespread deployment of artificial intelligence solutions across enterprises is encountering a significant challenge: a 'value plateau' where individual AI initiatives fail to translate into broader organizational impact. Despite initial ambitions to automate processes faste...
Read article →New research published on arXiv CS. AI on May 12, 2026, details advancements in applying artificial intelligence to predict complex system behaviors, ranging from polymer physics to robust dynamic pricing strategies....
Read article →Three distinct research papers, all published on arXiv on May 12, 2026, introduce significant advancements in mitigating critical vulnerabilities within AI systems: out-of-distribution (OOD) detection and long-form hallucinations. This concentrated release of research indicates a...
Read article →Recent academic research has identified significant challenges impacting the enterprise readiness of text-to-image (T2I) artificial intelligence systems, specifically concerning their operational reliability and security posture. Two studies published on arXiv on May 12, 2026, de...
Read article →Recent research published on arXiv reveals that while artificial intelligence continues its rapid advancement in generative capabilities, significant challenges remain in ensuring the safety, operational reliability, and consistent performance required for enterprise-grade deploy...
Read article →A novel AI framework, 'WATCH' (Wide-Area Archaeological Site Tracking for Change Detection), has been introduced to enhance the monitoring of archaeological sites at scale, addressing the critical challenge of identifying disturbances that often manifest through subtle visual cue...
Read article →Multiple research papers published on arXiv CS. AI on May 12, 2026, indicate a significant, yet complex, progression in the development of artificial intelligence for scientific discovery....
Read article →The confluence of recent academic publications highlights a significant thrust in Artificial Intelligence research, specifically addressing fundamental limitations within Reinforcement Learning (RL) that impede the reliability and scalability of agentic systems. A series of paper...
Read article →The landscape of Artificial Intelligence evaluation is undergoing a significant refinement, as evidenced by a recent surge of specialized benchmarks introduced in arXiv. This development signifies a crucial maturation in AI research, moving beyond generalized performance metrics ...
Read article →Recent research published across numerous arXiv preprints on May 12, 2026, collectively issues a critical warning regarding the current limitations of large language models (LLMs) for enterprise deployment. The findings underscore significant challenges in reliability, cost effic...
Read article →A new research paper introduces Agent-ValueBench, a comprehensive benchmark designed to evaluate the intrinsic 'values' that silently steer the behavior of autonomous agents arXiv CS. AI....
Read article →A significant legal precedent from the Supreme Court, concerning online liability, is converging with a profound shift in the creative workforce, as artificial intelligence increasingly integrates into content production pipelines. The Supreme Court's decision, which saw cable fi...
Read article →A new research paper published on arXiv details a novel approach to interpreting neural networks, introducing the concept of 'susceptibilities' within Bayesian learning to enhance model transparency. This development, outlined in 'Susceptibilities and Patterning: A Primer on Line...
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