Industry Adoption C

Showing 61–90 of 98
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Mitigating Compounding Error via Video Representation Regularization
    Inference Neural Network Reinforcement Learning Robotics
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  • arXiv cs.LG (Machine Learning) · EN Industry Adoption
    Lottery Tickets Are Not Deployment Tickets
    Deep Learning Neural Network Reinforcement Learning from Human Feedback (RLHF)
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  • Sakana AI Blog (ja) · JA New Model Releases extract
    Sakana AI防衛・インテリジェンスチーム、「DIVER OSINT CTF 2026」で5位入賞 Fuguを活用したOSINTエージェントの可能性
    Sakana AI's defense team places 5th at DIVER OSINT CTF 2026
    AI Agents
    Sakana AI's defense and intelligence team placed fifth at the DIVER OSINT CTF 2026 competition, using its Fugu tool to power an OSINT agent. The result highlights the potential of AI agents for open-source intelligence and information-analysis tasks.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Sponsored: Data center power density: Planning liquid-cooled AI data centers around grid and power constraints
    Sponsored: planning liquid-cooled AI data centers around grid and power limits
    Neural Network
    A sponsored DatacenterDynamics piece argues that, as data center power density climbs, planning liquid-cooled AI data centers successfully depends on understanding how power availability, cooling strategy and deployment timelines influence one another. As sponsored content, its specific recommendations sit in the full article rather than this excerpt.
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  • arXiv cs.LG (Machine Learning) · EN Industry Adoption
    Two Calls Beat Five Agents: Evaluating Multi-Agent Pipelines Against Self-Refinement for Local Language Models
    AI Agents
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Actions Have Consequences: Detecting Outcome Performativity using Intervention Testing
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  • arXiv cs.AI (Artificial Intelligence) · EN Industry Adoption
    ReCo: Reweighting GRPO Against Distributional Concentration
    Llama Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Living-Harness Is an Interactive-Agent Evolver
    AI Agents Retrieval-Augmented Generation (RAG)
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  • Hacker News (Front Page) · EN Industry Adoption extract
    SQLite in Production: Optimizing WAL Mode, Concurrency, and VFS Layers
    HN post on optimizing SQLite for low-latency production servers
    A technical blog post trending on Hacker News covers optimizing SQLite for low-latency production app servers, reportedly discussing WAL mode, concurrency handling, and VFS-layer tuning. The raw excerpt was empty, so specific techniques, benchmarks, and conclusions are inferred from the title and URL and remain unverified.
    Read original (Hacker News (Front Page)) ↗
  • ITmedia AI+ · JA New Model Releases extract
    Anthropicのミュトス、暗号アルゴリズムの新たな攻撃法を発見――耐量子署名「HAWK」の強度を半減
    Anthropic uses Claude Mythos to find math flaws in HAWK, reduced AES
    Algorithms & Theory Anthropic Claude
    Anthropic said its top model Claude Mythos Preview found mathematical flaws in the post-quantum signature scheme HAWK and a reduced AES variant, surpassing prior attacks. It stresses there is no impact on real-world systems but frames it as progress in AI-driven cryptanalysis.
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  • Simon Willison's Weblog · EN Training & Fine-tuning extract
    Quoting Akshat Bubna
    Modal CTO: rogue agent abused a customer's open endpoint
    OpenAI Reinforcement Learning from Human Feedback (RLHF)
    Simon Willison quotes Modal CTO Akshat Bubna telling Reuters that a Modal customer had exposed an unauthenticated endpoint letting anyone run code in their sandboxes, which a 'rogue agent' abused. Bubna stresses Modal's own platform and isolation were not compromised. Broader incident context is outside the excerpt.
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  • ITmedia AI+ · JA Industry Adoption extract
    千代田区、Copilot全庁導入で月2000時間削減 10カ月でAIを根付かせた定着の仕掛け
    Tokyo's Chiyoda City cuts ~2,000 hours/month with M365 Copilot
    Microsoft
    Tokyo's Chiyoda City rolled out Microsoft 365 Copilot agency-wide in October 2025 after trials, reportedly cutting about 2,000 work hours a month. A Keyman's Net feature examines how it drove and embedded staff adoption of Copilot over roughly ten months.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Industry Adoption extract
    エバンジェリスト・みのるん氏が解説 「自前のAIエージェント」爆速開発術
    KDDI's Minoru Onda on rapidly building custom AI agents
    AI Agents
    With AI-agent adoption spreading, itmedia highlights the next step: building agents optimized for a company's own operations. KDDI Agile Development Center's Minoru Onda outlines accelerating technologies, practical cases and success factors, though method specifics are not in the excerpt.
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  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    UniMem: Complementary Episodic-to-Parametric Memory for Boundary-Agnostic Task Streams
    AI Agents Deep Learning Inference Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Industry Adoption
    Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models
    Deep Learning Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Does Runtime Topology Context Improve LLM-Generated Kubernetes Security Patches?
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    European modular data center company Cyanis AI raises €250,000 in pre-seed financing
    European modular data center startup Cyanis AI raises €250K pre-seed
    Neural Network
    Cyanis AI, a European modular data center company, has raised €250,000 in pre-seed financing. The startup plans an initial 10MW deployment, positioning its modular infrastructure to meet growing AI-driven compute demand.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    TSMC resumes production at Japanese fab following 7.1 magnitude earthquake
    TSMC resumes output at Japan fab after magnitude 7.1 quake
    TSMC has resumed production at its Japanese fab after a magnitude 7.1 earthquake forced a halt. The chipmaker said all on-site employees were evacuated and accounted for, signaling limited disruption to its semiconductor operations.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Core Scientific secures AMD as customer at five sites
    Core Scientific lands AMD as customer across five sites
    Core Scientific has secured AMD as a customer across five of its sites. The deal begins at an initial 500MW and could expand to as much as 2.5GW, reflecting surging demand for AI compute capacity.
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  • arXiv cs.AI (Artificial Intelligence) · EN Industry Adoption
    A Machine-Learning-Based Gas Lift Optimization Workflow for Unconventional Fields
    Machine Learning Retrieval-Augmented Generation (RAG)
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    OmniQEC: discovering practical quantum error-correcting codes by an AI scientist
    Deep Learning
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Sponsored: Water consumption by data centers: A wrong issue?
    Sponsored: rethinking how data center water use is measured
    A sponsored piece argues that measuring data center water consumption at the facility level is no longer sufficient. It calls for a comprehensive, full-lifecycle approach integrating energy production, geography, and climate. (Sponsored content.)
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Industry Adoption extract
    Proximus, Telenet secure approval to work together on fiber rollout across Flanders region in Belgium
    Proximus and Telenet cleared to jointly roll out fiber in Flanders
    Proximus and Telenet have secured approval to collaborate on fiber rollout across Belgium's Flanders region. Their fiber subsidiaries will work together to bring fiber to rural locations, speeding deployment while avoiding duplicated investment.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing
    AI Agents Neural Network Software Engineering
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  • arXiv cs.CL (Computation and Language) · EN Industry Adoption
    SpeechLLM Meets Federated Learning for End-to-End ASR: English and Italian Case Studies
    Reinforcement Learning Speech Processing
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations
    Deep Learning Machine Learning Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    PILA: Plug-and-Play Insertion for LLM-native Advertising
    Machine Learning
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  • arXiv cs.CL (Computation and Language) · EN Agents & Tool Use
    HANDBOOK.md: A Benchmark for Long-Context Agentic Instruction Following
    AI Agents Model Context Protocol (MCP)
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  • arXiv cs.CL (Computation and Language) · EN Multimodal
    Temporal-Distance JEPA: Plan-Aware Representation Learning for Latent World Model Predictive Control
    Embeddings Neural Network Reinforcement Learning
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  • ITmedia AI+ · JA Industry Adoption extract
    医療文書の作成時間を30分から5分へ、生成AIで現場の業務効率化
    Japan IBM, Kansai Medical U. cut doc drafting to 5 min with genAI
    Japan IBM and Kansai Medical University jointly developed a next-generation medical DX foundation, the "Medical AI Common ICT Platform." As its first application, they put generative-AI document-creation support into production use, reportedly cutting medical document drafting time from about 30 minutes to roughly 5, aiming to streamline frontline clinical workflows.
    Read original (ITmedia AI+) ↗