Industry Adoption
C
Showing 31–60 of 74
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Memorisation bias in medical AI
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FluxVLA Engine: A One-Stop VLA Engineering Platform for Embodied Intelligence
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End-to-End Latency-Minimizing and Load-Balanced Request Scheduling for Edge LLM Inference in Agentic AI Services
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A unified framework for global and local interpretability using adaptive derivative-ordered random explanation
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FirmCORe: A Benchmark for Structured Reasoning about Inter-Firm Collaboration Opportunities
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openarm: A fully open-source humanoid arm for physical AI research and deployment in contact-rich environmentsOpenArm releases a fully open-source 7-DOF humanoid arm at $6,500Enactic open-sourced OpenArm, a 7-DOF humanoid arm for physical AI research in contact-rich settings. High backdrivability and compliance target safe human-robot interaction while keeping useful payload. A bimanual system costs $6,500, with CAD and ROS 2 assets published.
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AI for Science with GPT-6 Astra: Thermal Design and Electrothermal Analysis of 2D CFET
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HUMAID-NER: A Disaster Tweet Dataset for Joint Named Entity Recognition and Event Classification via Uncertainty-Weighted Multitask Learning
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A Data-free Universal Prior over Syntactic Structures
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【動画あり】Excel仕事がラクになるCopilot活用術、実務ですぐ使える3選 Microsoft MVP直伝Microsoft MVP demos three practical Copilot tricks for Excel workMicrosoft MVP Kazuaki Asada walks through three ways Microsoft 365 Copilot can speed up everyday Excel work, with live demos. The piece focuses on how to phrase instructions and how to check the results, rather than on listing features.
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その.envのAPIキーが、AIエージェントを「内通者」に変える――“人間前提のやり方”は破綻したThat API key in .env can turn your AI agent into an insider threatAs AI agents spread, the credentials behind them, API keys and tokens, are multiplying. The article argues that key management designed around human users breaks down once always-on agents act autonomously, and that a single key left in a .env file can make an agent an insider.
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Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection
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The Router Within: Eliciting Native Skill Routing from a Frozen LLM
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Pilot Early, Commit Late: A Real-Options Model of Enterprise AI Adoption under Rapid Technological Progress
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Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning
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LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys
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Atria Dawn: The Dawn of Agentic Superintelligence
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KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI
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When the World Lies: Backdoor Attacks on Latent World Models for Downstream Control
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Predicting build orientation for SLM dental parts: a comparison of rotation representations and direct vector regression
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Backward SDEs-based Diffusion for Physics-Constrained Generation
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RESKILL: Explicit Failure Attribution and Structured Repair for Interactive Language Agents
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Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
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CIDERS: Cloud-Edge LLM Collaborative Learning via Accelerating Personalized Bilevel Optimization
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Authorship attribution and aesthetic evaluation of AI poetry: a case study with Haiku
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Clean Scores, Buried Evidence, and Confident Wrong: A Receipt-Based Audit of Frontier Agentic QA
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「FDE」「ハーネス」「オープンウェイト」って何？ AI時代に現場で飛び交う10用語をGitHubが整理GitHub publishes a guide to 10 AI-era dev terms: FDE, harness, open-weightGitHub released a guide explaining ten AI-related terms now spreading quickly across software development, including "FDE," "harness," and "open-weight." The guide aims to give teams a shared vocabulary as AI tooling reshapes everyday engineering work.
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Perplexity trusts GPT-6 Astra with end-to-end systemsPerplexity lets GPT-6 Astra run end-to-end production systemsOpenAI says Perplexity now has GPT-6 Astra draft communications, modify software, and monitor production systems, checking in far less often than with earlier models. Cofounder Johnny Ho has the model build test harnesses that simulate API responses so it can verify workflows end to end.
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Sponsored: From pilot to production: Direct liquid cooling deployment risks in AI data center coolingSchneider Electric lists eight risks in scaling direct liquid coolingSchneider Electric's Steven Carlini says rack densities jumping from 20kW to over 140kW have made air cooling obsolete for chips like NVIDIA Blackwell. Moving direct-to-chip liquid cooling from pilot to production brings eight challenges, including galvanic corrosion from CDU material mismatches, fluid chemistry and pressure deviations, shared-asset warranties and chiller plant trade-offs, requiring IT and facility systems to be engineered as one appliance.
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AnthropicのアモデイCEO、AI開発の「ペース調整」訴えるエッセイ公開 アルトマン氏とマスク氏も賛同Anthropic's Amodei calls to pace frontier AI; Altman and Musk back the planAnthropic CEO Dario Amodei published an essay proposing a three-stage plan to slow the pace of model capability gains, citing rapid self-improvement and safety risks. He calls for embedded third-party evaluators and coordination among democracies. OpenAI's Sam Altman and Elon Musk endorsed the approach and said they would adopt similar evaluation regimes.