Industry Adoption

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Showing 61–90 of 107
  • arXiv cs.AI (Artificial Intelligence) · EN Agents & Tool Use
    Tracekit Box: Running AI Agents in Micro-VMs Where Every Way Out Is Decided and Signed
    AI Agents Deep Learning Meta Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • ITmedia AI+ · JA Industry Adoption
    Notion AIの「クレジット制」導入は改悪か? コスト最適化のヒケツを開発責任者に聞いた
    Notion AI moves to a credit system; its lead explains how to cut costs
    Notion AI is shifting to a model where users spend monthly-granted credits. Seal Yehoshua, who leads development, says cleaner context makes usage cheaper, and explains practical ways to keep costs down under the new system.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Industry Adoption
    360度カメラの映像から高精細な3Dモデルを生成、東電PGの建物保全業務に導入
    Ricoh deploys 360° camera 3D modeling for TEPCO PG building upkeep
    Ricoh and Ricoh Japan have put into operation a technology that generates detailed 3D models with few gaps from 360-degree camera footage, adopting it for Tokyo Electric Power Grid's building maintenance work. It combines proprietary localization with AI to fill in featureless walls and floors, producing a model in about half a day.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Safety & Evaluation
    日本取引所、金融市場の取引システム運用監視にAIを導入 精度97%を実現した方法
    JPX and Hitachi deploy AI for trading system monitoring, 97% accuracy
    Japan Exchange Group and Hitachi have begun applying AI to operational monitoring of financial market trading systems, aiming to ease reliance on individual experts. The article explains how they handled hallucination risk to reach 97% accuracy.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Industry Adoption
    「AI開発、“外注”しても大丈夫?」──丸投げで失敗するケースも 絶対に「手放してはいけないもの」とは
    Outsourcing AI development: what you must never hand off
    Outsourced AI systems can score 90 in the vendor's tests yet prove unusable in-house. The article asks whether outsourcing is wise at all and outlines what companies must keep control of to avoid failure.
    Read original (ITmedia AI+) ↗
  • The Register (Data Centre) · EN Infrastructure & Hardware
    Big Red gets cozy with Google to offer TPUs to AI customers
    Oracle to offer Google TPUs on OCI alongside Nvidia and OpenAI expansions
    Google Machine Learning NVIDIA OpenAI
    Oracle will be the first cloud outside Google to offer Google's TPUs, available on OCI from 2027. It also announced Nvidia Vera Rubin NVL72 availability, new OpenAI-based products, and a Snowflake partnership.
    Read original (The Register (Data Centre)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    GEPA-Curator: Curated Learning for Self Improving Agents
    AI Agents Claude Gemini Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    EnvSched: Environment-Aware Scheduling for Rollout-Efficient Agent Reinforcement Learning
    AI Agents Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    LCM-Promo: An LLM-Based Uplift Model for Promotion Allocation
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    HGPRGDel: GPR-Aware Learning and Ranking for Growth-Coupled Gene Deletion Design
    Machine Learning Meta Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Concordat: Typed Sessions for LLM Agents
    AI Agents Claude GPT Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Test-Time Communication in Trading Agent Swarms
    AI Agents
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Representing the Unseen: Rethinking Visual Imagination for Spatial Reasoning
    Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Bayes-Adaptive MDPs for Rollout Allocation to Enhance GRPO Training
    Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • Data Center Dynamics · EN Developer Tools
    Nidec anounces 3.2MW in-row CDU
    Nidec announces 3.2MW in-row CDU
    Nidec announced a 3.2MW in-row coolant distribution unit (CDU). The new unit is set to enter mass production next year.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling
    Inference Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Industry Adoption
    TRIDENT-Seq: Profile-Matched Prefix-Future Contrast for Label-Efficient Payment Risk Modeling
    Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • Sakana AI Blog (ja) · JA Industry Adoption
    Sakana API Platform、エンタープライズ向けにアーリーアクセスプログラムを開始
    Sakana AI opens early access to its enterprise Sakana API Platform
    Neural Network OpenAI
    Sakana AI announced Sakana API Platform for enterprises and opened an early access program. It offers the company's LLMs via API with admin controls to manage members and usage at the organization and workspace level. The API is OpenAI-compatible, so existing apps only need to switch endpoints. Sakana Fugu and Fugu Ultra come first, with Namazu and Fugu Max to follow.
    Read original (Sakana AI Blog (ja)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    CoS-VQ: Coordinated Shared-Scale Vector Quantization for Large Language Models
    Quantization
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    ReForest: Interpretability Meets Reasoning in Isolation Forest
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • ITmedia AI+ · JA Industry Adoption
    IPO目論見書に「AIは人類の存亡リスク」「コードの9割はClaude製」 Anthropicが示した規格外の見立て
    Anthropic files IPO prospectus: over 90% of its code is AI-written
    Anthropic Claude
    Anthropic filed its IPO prospectus (Form S-1) with the US SEC on Oct 26. It discloses that over 90% of internal code is written by AI and that AI spending exceeds labor costs, and it addresses a wide range of risks AI could pose to humanity.
    Read original (ITmedia AI+) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Guided-RLVR: Guided Exploration in Reinforcement Learning with Verifiable Rewards
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • ITmedia AI+ · JA Industry Adoption
    AI活用が進むほど、物理シミュレーションの重要性は高まる
    Greater AI use makes physics simulation more important
    Autumn brings a run of Japan-focused events by overseas vendors. In that context, the article argues that the more AI is used, the more important physical simulation becomes.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Agents & Tool Use
    HISが月100時間を削減 AIエージェントで法人出張の見積もり、どう自動化した?
    HIS cuts 100 hours a month with AI agents for corporate trip quotes
    AI Agents Robotics
    Travel company HIS introduced AI agents and robots to its corporate business-trip quotation work, cutting about 100 working hours per month. It had experimented with AI-based efficiency since around 2023 without reaching the accuracy it wanted. The article looks at what turned that around.
    Read original (ITmedia AI+) ↗
  • OpenAI Blog · EN Industry Adoption
    How Check Point accelerates vulnerability research with Daybreak
    Check Point speeds vulnerability research with OpenAI Daybreak
    OpenAI
    With OpenAI Daybreak, Check Point speeds up the research behind new security protections. Its analysts can turn vulnerability intelligence into customer defenses faster.
    Read original (OpenAI Blog) ↗
  • Anthropic News · EN Developer Tools
    Expanding our partnership with GSA to bring Claude to all levels of government
    Anthropic expands GSA deal: 40% off Claude for governments
    Claude Retrieval-Augmented Generation (RAG)
    Anthropic announced a new GSA agreement offering government partners a 40% discount on Claude Enterprise, Claude for Government and the API across all product surfaces, extended to state, local and tribal governments. A new implementation program launches too; savings are estimated at $1 billion.
    Read original (Anthropic News) ↗
  • ITmedia AI+ · JA Industry Adoption
    AIで「月○○時間削減」それ本当? 浮いた時間はどこに消えたのか
    Does 'AI saves X hours a month' hold up? Where the time goes
    Claiming AI saved thousands of hours a month does not by itself cut labor costs. The article asks where the freed-up time actually goes, questioning how hours saved are reported as a result.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Industry Adoption
    熊本地震「避難状況マップ」秘話 2日で開発も「こんなの使えない」と突き返され……
    Kumamoto quake shelter map built in 2 days, rejected as unusable
    Two days after the 2026 Kumamoto earthquake, an IT company built a shelter-status map, only to be told by people on site that it was unusable. The article looks at how the team got past that rejection.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Industry Adoption
    京都府庁、職員7000人の事務効率化で「Copilotだけに頼らない」と決めた理由
    Kyoto Prefecture won't rely on Copilot alone for 7,000 staff
    Facing a future labor shortage from population decline, Kyoto Prefectural Government is working to make about 7,000 employees more efficient. It adopted conversational AI across the office, but that alone did not ease the workload on the ground, so it decided not to depend on Copilot only.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA Agents & Tool Use
    伊藤忠インタラクティブが「Claude」活用研修 「AIを使う」から「業務を任せる」へ
    Itochu Interactive launches Claude-based AI agent training for businesses
    AI Agents Claude
    Itochu Interactive is launching a corporate AI agent implementation training program using Claude and Claude Code. Rather than teaching general generative AI usage, participants build AI agents around their own work, such as drafting proposals and research reports, aiming to automate real tasks and move from merely using AI to delegating work to it.
    Read original (ITmedia AI+) ↗