Industry Adoption

C
Showing 1–30 of 108
  • ITmedia AI+ · JA Industry Adoption
    建設現場の「古い図面」問題 紙とデジタルのズレが招く「手戻り」と「工事遅延」、日本HPはどう解消した?
    HP Japan's new service tackles outdated paper drawings on building sites
    As construction digitizes, sites still rely on paper and PDF drawings, so differing media delay sharing of the latest plans and can cause rework, errors and project delays. The article examines how HP Japan's new service aims to resolve this problem.
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  • ITmedia AI+ · JA Developer Tools
    オラクルの機能がChatGPTで利用可能に 複数システムをまたぐ業務をAIで自動化
    Oracle features come to ChatGPT as Oracle expands OpenAI partnership
    GPT OpenAI
    Oracle is expanding its partnership with OpenAI, using ChatGPT, Codex and other AI to support work from automating tasks across multiple systems to detecting software vulnerabilities and building applications. Small businesses get a plan that includes $12,000 per year in cloud usage allowance.
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  • ITmedia AI+ · JA Industry Adoption
    「保安検査の長い列」と「人手不足」をどう解消する? フランクフルト空港におけるAI時代の空港DX
    Frankfurt's new Terminal 3 uses AI to tackle queues and staff shortages
    Frankfurt Airport's Terminal 3, which opened in April, has adopted IT and AI to improve customer experience and operational efficiency. The article looks at which technologies it uses to ease long security queues and labor shortages and keep the airport running without disruption.
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  • ITmedia AI+ · JA Industry Adoption
    AIの「費用対効果が分からない」問題、解決へ? Claude Enterprise搭載の「3つの新機能」
    Claude Enterprise adds three features to show AI cost-effectiveness
    Anthropic Claude
    As AI adoption grows, IT departments face tougher questions about return on investment. Anthropic added three features to Claude Enterprise, from usage visibility to budget allocation, that may help IT teams explain AI spending.
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  • ITmedia AI+ · JA Agents & Tool Use
    AIエージェントは「実運用」が主流に 「明確な成果」を得る企業の共通点は?
    AI agents go mainstream in production, but gaps by firm size widen
    AI Agents
    An INDUSTRIAL-X survey finds generative AI use has moved from trial to broader rollout, with AI agents now mainly in real operation. The gap between companies is widening by size, and non-technical factors set apart those achieving clear results.
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Counting on Dummies: Privacy Amplification with Observable Counts and Truncated Batches
    Machine Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    ACCT: Asymmetric Cross-LLM Context Transfer
    Deep Learning Inference Reinforcement Learning
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  • Data Center Dynamics · EN Industry Adoption
    Equinix posts record annualized gross bookings of $533m, up 35 percent
    Equinix posts record $533m annualized gross bookings, up 35%
    Neural Network
    Equinix reported record annualized gross bookings of $533 million, up 35 percent. The company says it keeps project scale low and its customer base broad.
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  • Data Center Dynamics · EN Multimodal
    SpiNNcloud rebrands to Sparxity, announces cluster deployment at Jülich center in Germany
    SpiNNcloud rebrands as Sparxity, deploys cluster at Jülich
    Neural Network
    SpiNNcloud has rebranded to Sparxity and announced a cluster deployment at the Jülich center in Germany. The company said the new name reflects its vision to "only compute what matters".
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Modular data center provider DXN loses neocloud customer contract
    Modular data center firm DXN loses neocloud customer contract
    Modular data center provider DXN lost a neocloud customer after the customer cancelled the deal following a shift in its business. The company was still paid for work already completed.
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  • arXiv cs.AI (Artificial Intelligence) · EN Industry Adoption
    Automated Keyword Generation Using LLMs in a High-Volume Data Virtualization Service
    Embeddings Machine Learning
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  • Data Center Dynamics · EN Industry Adoption
    Designing infrastructure for enterprise AI
    Designing infrastructure for enterprise AI
    A decision guide for matching enterprise AI workloads to suitable deployment and infrastructure models.
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  • Data Center Dynamics · EN Industry Adoption
    Synergy: Enterprise cloud infrastructure spending jumped 55% YoY in Q3
    Synergy: enterprise cloud spending jumped 55% YoY in Q3
    Synergy reports enterprise cloud infrastructure spending jumped 55 percent year over year in Q3, marking the 12th consecutive quarter of growth.
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Learning Nonlocal Interactions in Large-Scale Heterogeneous Metamaterials through Scientific Machine Learning
    Machine Learning Meta
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Fuzzy selective state model for forecasting the dynamics of consumer preferences
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Continual Reinforcement Learning Is an Integration Problem
    AI Agents Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    Towards Out-of-Distribution Uncertainty Quantification for Machine-Learned Interatomic Potentials via Pre-Training
    Fine-tuning Machine Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    Clinical-Protocol-Aware Cyber Resilience for Connected Clinical Technologies Under AI-Enabled Adversarial Conditions
    Neural Network Reinforcement Learning
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  • Microsoft Research Blog · EN Developer Tools
    From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence
    Microsoft Research uses synthetic enterprise data to evaluate Copilot
    Microsoft Neural Network
    Microsoft Research says evaluating Copilot at enterprise scale needs test data that captures real organizational complexity, yet real enterprise data holds sensitive information that can never be used for evaluation. The post describes using synthetic enterprise data to build confidence in Copilot.
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    TSBPO: Tree-Structured Branching for Policy Optimization in Interactive Language Agents
    AI Agents Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Digital sovereignty in professional translation workflows: a case study of migrating from Windows to Linux
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  • arXiv cs.CL (Computation and Language) · EN Industry Adoption
    Sparse Text Diffusion under Dual Budgets: Context Connectivity and Expert Activation
    Deep Learning Neural Network Software Engineering
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    ProSearch: Benchmarking Multi-Constraint Protocol Retrieval in Experimental Science
    Retrieval-Augmented Generation (RAG)
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  • ITmedia AI+ · JA Industry Adoption
    AIは「組織能力の増幅器」、パナソニック新CAIOが描く人とAIの共進化
    Panasonic CAIO calls AI an amplifier of organizational capability
    Executive officer Sakakibara, who became Group CAIO of Panasonic Holdings in April 2026, outlined the group's AI outlook in a joint interview. He framed AI as an amplifier of organizational capability and pointed to the co-evolution of people and AI.
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  • ITmedia AI+ · JA Industry Adoption
    見積書100枚超をどうさばく? 「半日仕事」を約30分にした建設会社のAI活用
    Okinawa builder Fukuchigumi cuts quote entry to about 1 minute with AI
    Construction sites spend heavy time transcribing supplier quotes that each use a different format. Okinawa-based Fukuchigumi adopted an AI document-processing service and reportedly cut handling time per quote from 10-15 minutes to about one minute, per ITmedia.
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  • arXiv cs.AI (Artificial Intelligence) · EN Industry Adoption
    From extreme weather to agricultural consequences with agentic AI
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  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Advancing Clinical Genomic Analysis with a Skill-Centred Agent
    DeepSeek Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN Industry Adoption
    Numerical Integration on Bounded Domains via Learned Reflected Diffusions
    Reinforcement Learning
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  • Data Center Dynamics · EN Industry Adoption
    OneQode leases 14MW from AdaniConneX in India
    OneQode leases 14MW from AdaniConneX in India
    Neural Network
    AI cloud company OneQode has leased 14MW from AdaniConneX in India. It is the firm's first deployment in the country, with more planned.
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  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Uncertainty-aware Feedback Loop Diagnosis: integrating reinforcement learning and conformal prediction for reliable wafer defect classification
    Deep Learning Neural Network Reinforcement Learning
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