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 201–220
A significant procedural development occurred in the ongoing legal proceedings between Elon Musk and OpenAI co-founder Sam Altman, with Musk's legal team reportedly committing a critical error during testimony outside the jury's presence The Verge. This event transpired following...
Read article →Meta Platforms has reported a decline of 20 million 'Family daily active people' during the first quarter of 2026, even as the company signals intentions to direct billions into artificial intelligence investments The Verge. This contraction in user engagement, detailed in an ear...
Read article →The latest research underscores a critical juncture in AI deployment: the rapid ascent of sophisticated multi-agent systems and "Computer-Using Agents" (CUAs) capable of autonomous operations. While these systems promise unprecedented automation, concurrent analyses reveal a new ...
Read article →On April 30, 2026, a significant cluster of artificial intelligence research papers was published on arXiv CS. AI, outlining foundational advancements aimed at addressing critical efficiency, stability, and scalability challenges across large language models, scientific computing...
Read article →The operational reliability of autonomous systems, specifically self-driving vehicles, is under increased scrutiny following reports from emergency first responders indicating a decline in the performance of Waymo vehicles. This emerging challenge for real-world deployments coinc...
Read article →Amazon is pursuing a dual-pronged strategy involving significant capital expenditure in its core cloud infrastructure and a concerted effort to reshape the competitive landscape of digital payments in India. This combined approach indicates a calculated long-term investment, unde...
Read article →The exponential demand for artificial intelligence compute is exerting significant pressure on hyperscale cloud infrastructure, evidenced by Google Cloud's recent disclosure that its growth was capacity-constrained despite surpassing $20 billion in quarterly revenue TechCrunch. T...
Read article →The fundamental limitations restricting generative AI’s ability to model vast physical spaces and process extensive video sequences are being directly confronted, according to two significant research papers published concurrently on April 28, 2026, on arXiv CS. AI....
Read article →A new wave of research published on arXiv CS. LG highlights an intensifying focus within the machine learning community on enhancing model interpretability and certified robustness—critical factors for the reliable deployment of AI in enterprise environments....
Read article →The concurrent publication of multiple research papers on arXiv CS. AI on April 28, 2026, indicates a concentrated effort to refine and specialize Large Language Models (LLMs), moving beyond generalized capabilities towards enhanced reliability and domain-specific applications....
Read article →A significant advancement in the evaluation of Vision-Language Models (VLMs) has emerged with the introduction of DO-Bench, a new diagnostic benchmark designed to isolate the root causes of object hallucination. This development addresses a critical reliability challenge that has...
Read article →The enterprise technology landscape witnessed two distinct, yet operationally significant, developments this week: Red Hat's OpenClaw maintainer introduced a containerization solution for AI agents, and Otter expanded its capabilities for cross-enterprise search and meeting trans...
Read article →A new training paradigm promising significantly reduced computational overhead for AI reasoning models emerges as enterprises simultaneously refine stringent control mechanisms for existing AI agents, underscoring the ongoing tension between deployment efficiency and operational ...
Read article →The fundamental reliability and operational efficiency of wireless networks stand to benefit significantly from new machine learning applications in radio frequency (RF) engineering. Recent research published on arXiv CS....
Read article →A new research paper published on arXiv CS. LG details how an AI system, dubbed 'Epicure,' has successfully extracted and structured the elusive 'tacit knowledge' of culinary flavor, texture, and cultural identity previously confined to human intuition....
Read article →A new research paper published on arXiv outlines ProEval, a proactive evaluation framework designed to enhance the efficiency and reliability of generative AI model assessment. This development addresses the increasingly resource-intensive nature of evaluating such systems, a cri...
Read article →The landscape of medical diagnosis and prognosis is witnessing the emergence of highly specialized artificial intelligence models, as evidenced by recent research exploring their application to complex clinical challenges. New studies released today outline advanced methodologies...
Read article →Two significant research papers published concurrently on arXiv today provide a dual perspective on Graph Neural Networks (GNNs), simultaneously advancing the understanding of their fundamental capabilities while underscoring critical limitations for enterprise-scale deployment. ...
Read article →New research, published today on arXiv CS. LG, introduces methodologies aimed at enhancing the robustness, generalization, and multi-objective optimization capabilities of reinforcement learning (RL) systems....
Read article →A recent publication on arXiv CS. LG, dated April 28, 2026, details new theoretical lower bounds for the ability of several standard machine learning techniques to learn the M"obius or Liouville functions arXiv CS....
Read article →