Industry Adoption
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Showing 61–90 of 107
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Tracekit Box: Running AI Agents in Micro-VMs Where Every Way Out Is Decided and Signed
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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 costsNotion 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.
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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 upkeepRicoh 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.
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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% accuracyJapan 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.
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「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 offOutsourced 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.
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Big Red gets cozy with Google to offer TPUs to AI customersOracle to offer Google TPUs on OCI alongside Nvidia and OpenAI expansionsOracle 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.
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GEPA-Curator: Curated Learning for Self Improving Agents
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EnvSched: Environment-Aware Scheduling for Rollout-Efficient Agent Reinforcement Learning
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LCM-Promo: An LLM-Based Uplift Model for Promotion Allocation
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HGPRGDel: GPR-Aware Learning and Ranking for Growth-Coupled Gene Deletion Design
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Concordat: Typed Sessions for LLM Agents
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Test-Time Communication in Trading Agent Swarms
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Representing the Unseen: Rethinking Visual Imagination for Spatial Reasoning
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Bayes-Adaptive MDPs for Rollout Allocation to Enhance GRPO Training
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Nidec anounces 3.2MW in-row CDUNidec announces 3.2MW in-row CDUNidec announced a 3.2MW in-row coolant distribution unit (CDU). The new unit is set to enter mass production next year.
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Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling
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TRIDENT-Seq: Profile-Matched Prefix-Future Contrast for Label-Efficient Payment Risk Modeling
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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 PlatformSakana 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.
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CoS-VQ: Coordinated Shared-Scale Vector Quantization for Large Language Models
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ReForest: Interpretability Meets Reasoning in Isolation Forest
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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-writtenAnthropic 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.
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Guided-RLVR: Guided Exploration in Reinforcement Learning with Verifiable Rewards
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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 importantAutumn 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.
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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 quotesTravel 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.
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How Check Point accelerates vulnerability research with DaybreakCheck Point speeds vulnerability research with OpenAI DaybreakWith OpenAI Daybreak, Check Point speeds up the research behind new security protections. Its analysts can turn vulnerability intelligence into customer defenses faster.
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Expanding our partnership with GSA to bring Claude to all levels of governmentAnthropic expands GSA deal: 40% off Claude for governmentsAnthropic 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.
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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 goesClaiming 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.
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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 unusableTwo 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.
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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 staffFacing 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.
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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 businessesItochu 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.