Industry Adoption C

Showing 1–30 of 102
  • ITmedia AI+ · JA Industry Adoption extract
    WAFを89%すり抜ける事例も──AIが休みなく仕掛けるWeb攻撃、予防策はあるか
    AI-driven web attacks slip past WAFs up to 89%—Akamai on defenses
    Frontier AI has transformed web attacks, with some cases evading web application firewalls up to 89% of the time. Akamai's Kazuhiro Nakanishi explains the trends behind these tireless AI-driven attacks, the countermeasures, and the pitfalls defenders often overlook.
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  • ITmedia AI+ · JA Agents & Tool Use extract
    「AI、結局使えないじゃん」問題 セールスフォースが431万件対応で導いた正解
    Salesforce turns AI into ROI, handling 4.31M cases in-house
    AI Agents
    Salesforce completed 4.31 million customer interactions through its own 'customer zero' practice, lifting deal counts by 40-50%. COO Ryota Tanaka outlines the playbook—choosing domains with solid data and KPIs, and starting with simple, high-frequency tasks—to convert AI investment into clear returns.
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  • ITmedia AI+ · JA Industry Adoption extract
    生成AI利用率、情シスよりも高いのはあの職種だった
    Survey finds engineers and IT aren't the top job for generative-AI use
    A Raxus survey on generative-AI adoption by job type found that engineers and IT staff were not the leading users. Contrary to the assumption that IT-adjacent roles rank first, another occupation surpassed them, the report notes.
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  • ITmedia AI+ · JA Agents & Tool Use extract
    賞金1000万のAIコンテスト、でも「実現性は問わず」 サイバーエージェントのAI推進策
    CyberAgent's ¥10M AI contest ignores feasibility to shift staff mindset
    AI Agents
    CyberAgent ran an AI contest with a 10-million-yen prize that deliberately ignores feasibility, aiming to change how employees engage with generative AI. Since tools yield no value if unused, lowering the barrier to entry is meant to spur company-wide adoption.
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  • ITmedia AI+ · JA Industry Adoption extract
    月100億トークン使うビズリーチ 「AIコスト増」懸念の中、費用対効果どう判断しているのか
    BizReach burns ~10B tokens a month—how its CTO weighs AI ROI
    BizReach's CTO, whose firm consumes roughly 10 billion tokens a month, explains how he judges AI's cost-effectiveness amid rising concern over ballooning AI spend. The piece examines balancing expanded usage against cost control from a management standpoint.
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  • ITmedia AI+ · JA New Model Releases extract
    Google、パーソナルAI「Gemini Spark」を日本でも利用可能に Chrome統合は米国から
    Google expands Gemini Spark personal AI to 160+ countries incl. Japan
    AI Agents Gemini Google
    Google extended its Gemini Spark personal AI agent to more than 160 countries, including Japan. Running on Google's cloud, it can act even when a PC is off or a phone is locked, handling tasks based on triggers. Chrome integration will roll out first in the US.
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  • ITmedia AI+ · JA New Model Releases extract
    OpenAI、アクティブユーザー10億人超に 導入企業は200万社超
    OpenAI passes 1 billion active users and 2 million business customers
    GPT Inference OpenAI
    OpenAI said it surpassed one billion active users and two million business customers. It cited efficiency gains from retained reasoning, better context management, and production optimization that cut costs and improved token throughput, alongside price cuts on some GPT-5.6 models.
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  • IEEE Spectrum (AI section) · EN Developer Tools extract
    Fridays With Bob
    IEEE Spectrum column: 'Fridays With Bob' on finding a mentor
    Software Engineering
    An IEEE Spectrum personal column in which the writer recalls being advised, 25 years ago, to find a 'rabbi'—a mentor—when starting out. The piece reflects on that mentorship and the lessons it offered over a long journalism career.
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  • Simon Willison's Weblog · EN New Model Releases extract
    Stateless MCP has recaptured my interest (and inspired mcp-explorer and datasette-mcp)
    Simon Willison: stateless MCP (MCP 2.0) has recaptured my interest
    Anthropic Claude Model Context Protocol (MCP) OpenAI Reinforcement Learning
    Simon Willison wrote that the rollout of stateless MCP—the MCP 2.0 or 2026-07-28 Model Context Protocol specification—has renewed his interest in the protocol. He says it inspired him to build tools such as mcp-explorer and datasette-mcp on top of the new stateless design.
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction
    AI Agents Llama Meta
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics
    Retrieval-Augmented Generation (RAG)
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    CENDRe: Concept Extraction with Natural Domain Representations
    Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    A Human-Centered Validation of the Explainability-Performance Coefficient
    Deep Learning Neural Network
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  • Data Center Dynamics · EN Industry Adoption extract
    Sponsored: Beyond the rack: Mapping the four phases of 800VDC cooling adoption
    Mapping the four phases of 800VDC cooling adoption (sponsored)
    A sponsored article maps four phases in adopting 800VDC for data center cooling infrastructure. It suggests the real question is less whether cooling can run on 800VDC and more whether the supplier ecosystem can support the transition at scale.
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  • arXiv cs.LG (Machine Learning) · EN Industry Adoption
    Lightweight Neural Networks for Affordance Segmentation: Enhancement of the Decoder Module
    Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    Self-Play Meets Skill Evolution: Self-Evolving Search Agents that Pose, Solve, and Remember
    AI Agents Inference Retrieval-Augmented Generation (RAG) Reinforcement Learning Software Engineering
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  • Data Center Dynamics · EN Industry Adoption extract
    Enterprise cloud infrastructure spending hits $143 billion - report
    Enterprise cloud infrastructure spending hits $143 billion
    Enterprise cloud infrastructure spending reached $143 billion in the quarter, marking an 11th consecutive quarter of growth, according to a report. Analysts attribute the sustained rise largely to AI, as generative models and data demand keep boosting cloud investment.
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Analysing User Reviews to Identify User Concerns Around Permissions in AI Apps
    Machine Learning Neural Network
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  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    FBFM: A Training-Free Asynchronous Feedback Mechanism for Flow-Matching in World-Action Models Execution
    Inference Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    GALA: Generative Aligned Learning for Adaptive Multimodal Representation in the Taobao Shangou Recommender System
    Embeddings Fine-tuning Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Can Zero-Shot LLMs Predict Child Malnutrition? A Fairness and Temporal Robustness Study
    Deep Learning GPT Inference Meta Reinforcement Learning
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  • OpenAI Blog · EN Industry Adoption extract
    Univé builds an AI-ready workforce
    Univé builds an AI-ready workforce with ChatGPT Enterprise
    GPT Neural Network
    Insurer Univé built an AI-ready workforce using ChatGPT Enterprise by combining executive leadership, responsible governance, and hands-on enablement. The case study highlights how the firm scaled practical AI adoption across teams.
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  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    From Inline Notes to Collected Commentaries: Toward Context-Preserving Organization of Exegetical Knowledge in Classical Chinese Texts
    Neural Network Natural Language Processing (NLP) Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    PARALLEL: A Prefrontal-Aligned Reinforcement inspired Approach for Language-Model Learning under Explicit Limits
    Deep Learning Machine Learning Neural Network
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  • ITmedia AI+ · JA Inference & Efficiency extract
    Chromeに13年以上潜んでいた脆弱性、AIで発見 直近2回のアプデで過去23回分を上回るバグ修正
    Google's Gemini agent finds 13-year-old Chrome flaw; tests twice-weekly updates
    AI Agents Gemini Google
    Google detailed its use of AI for Chrome security, saying a Gemini-based agent uncovered a vulnerability hidden for over 13 years and that its last two updates fixed more bugs than the previous 23 combined. To counter faster AI-driven attacks, Google is trialing twice-weekly security updates.
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  • ITmedia AI+ · JA New Model Releases extract
    OpenAI、「GPT-5.6 Luna」を80%値下げ モデル自身による効率化でコスト削減
    OpenAI cuts 'GPT-5.6 Luna' price by 80% via model-driven efficiency
    GPT OpenAI
    OpenAI cut the price of 'Luna' in its GPT-5.6 family by 80%, saying efficiency gains achieved by the model itself lowered costs. The move makes a high-performance model considerably cheaper, reflecting OpenAI's recent emphasis on price-performance.
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  • ITmedia AI+ · JA Industry Adoption extract
    日立が「SI全工程」をAI化 仕様確定で「最大240倍」効率化のワケ
    Hitachi brings AI to all SI phases, up to 240x faster spec finalization
    To address engineer shortages and rising system complexity, Hitachi developed an 'Agentic AI Integration Platform' that applies AI across every phase of systems integration. Combining frontier AI with its own know-how, internal tests showed up to 240x efficiency gains in finalizing screen specifications.
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions
    Neural Network Retrieval-Augmented Generation (RAG)
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  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    PAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball
    Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    AISPA: User-Centric System Prompt Auditing for Large Language Model Applications
    Retrieval-Augmented Generation (RAG)
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