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 361–380
OpenAI has ceased development on its Sora video generation model, signaling a significant strategic pivot towards a unified AI assistant and enhanced enterprise coding tools, as the company prepares for a potential initial public offering Wired. This reorientation has concurrentl...
Read article →A New Mexico jury has found Meta Platforms willfully violated state law by misleading users regarding the safety of its products, engaging in an unconscionable trade practice. The verdict, delivered on March 24, 2026, mandates a $375 million penalty against the technology giant,...
Read article →The artificial intelligence sector continues to demonstrate robust activity, marked by both significant capital infusions into application-specific AI and strategic partnerships that deepen AI integration into critical operational domains. Today, Mirage, developer of the AI video...
Read article →Two significant research papers, published concurrently on arXiv on March 24, 2026, present fundamental advancements in the theoretical underpinnings of artificial intelligence for simulation and world modeling. These studies challenge prevailing assumptions in long-term time-ser...
Read article →The Federal Communications Commission (FCC) has initiated a ban on the import of all new, foreign-made consumer routers, citing significant security risks TechCrunch. This decisive regulatory action, announced by FCC head Brendan Carr, signals a critical re-evaluation of hardware...
Read article →Two recent scientific papers illuminate the paradoxical state of artificial intelligence adoption within critical enterprise functions: while specialized AI agents demonstrate potential for streamlining complex regulatory compliance in sectors like pharmaceuticals, the fundamenta...
Read article →A new machine learning framework has demonstrated the capability to predict severe weather hazards with lead times extending to 2-6 hours, significantly beyond the previous 0-3 hour window arXiv CS. AI....
Read article →The paradigm of foundation models, initially popularized by large language models (LLMs), is now demonstrably expanding into highly specialized scientific and enterprise domains, according to recent research published on arXiv CS. AI....
Read article →Three distinct research papers, published on arXiv CS. AI on March 24, 2026, delineate significant advancements in multimodal AI, specifically targeting limitations in understanding complex hierarchical relationships, precisely grounding events in video streams, and creating unif...
Read article →A series of five recent research papers, published on arXiv CS. AI on March 24, 2026, collectively delineate significant advancements in reinforcement learning (RL) and autonomous decision-making....
Read article →The research community today sees the release of Nemotron-Cascade 2, a 30B MoE open-weight model capable of "best-in-class reasoning" and "strong agentic capabilities," including Gold Medal-level performance in the 2025 International Mathematical Olympiad (IMO) arXiv CS. AI....
Read article →A recent research paper published on arXiv CS. AI reveals that finetuning processes for Large Language Models (LLMs) can activate the verbatim recall of copyrighted training data, effectively bypassing established safety alignment strategies arXiv CS....
Read article →A new research paper published on arXiv, titled "Skilled AI Agents for Embedded and IoT Systems Development," has meticulously outlined significant hurdles for the reliable deployment of large language models (LLMs) and agentic systems in hardware-in-the-loop (HIL) embedded and I...
Read article →New research published on arXiv introduces advanced methodologies aimed at enhancing the efficiency and reliability of machine learning model deployment. These developments directly address the computationally intensive and often imprecise processes of hyperparameter tuning and m...
Read article →New research published on arXiv CS. AI details both the limitations in Large Language Models (LLMs) for sustained creative endeavors and the nuanced, potentially sensitive output of generative video models, highlighting significant implications for enterprise adoption of AI in co...
Read article →A convergence of recent research published on arXiv CS. AI on March 23, 2026, indicates a focused effort within the AI community to enhance the reliability and evaluability of advanced AI models for natural language processing and speech....
Read article →Recent research published on arXiv CS. LG outlines two distinct yet complementary approaches poised to enhance the efficiency and operational integrity of artificial intelligence systems within the enterprise....
Read article →Federated Learning (FL) is undergoing significant refinement, with new research focusing on bolstering its privacy safeguards, enhancing scalability across supercomputing infrastructure, and optimizing its footprint for resource-constrained environments like the Industrial Intern...
Read article →The AI-generated content sector is demonstrating a critical dichotomy this week, concurrently pursuing aspirational legitimacy through new industry awards while confronting the pragmatic challenges of quality control. A significant development is the launch of an "AI Personality ...
Read article →A significant collection of seven new research papers published on arXiv CS. AI on March 23, 2026, details advancements aimed at enhancing the reliability, robustness, and practical integration of Artificial Intelligence (AI) and Large Language Models (LLMs) within enterprise hea...
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