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今日の AI で最も重要な変化

登録ソース 105 件 · この一覧の最新公開日時 2026-09-28 23:45 UTC+9。

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2026-09-28

翻訳待ち:Cura

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Discussion | Link

Product Hunt AIAgent原典の内容 · 翻訳・分析待ち翻訳待ち:Cura
翻訳待ち:The SaaSpocalypse that wasn’t, with Atlassian CEO Mike Cannon-Brookes

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Today, I’m talking with Mike Cannon-Brookes, who is cofounder and CEO of Atlassian. Atlassian is one of those companies that every other company runs on — it makes important platform tools like Jira and Trello that allow people to organize and manage big teams, create shared databases of company information, and generally allow work to happen. As you’ll hear Mike say, all of Atlassian’s products are actually different expressions of a single core platform, which really shapes how Atlassian itself is structured and how those products are built. All of this means Atlassian is also right in the middle of the way AI is changing how all these companies work — AI tools might be able to look at all the different tools and systems you have and just read the…

The Verge AIAgent / モデル / 政策原典の内容 · 翻訳・分析待ち翻訳待ち:The SaaSpocalypse that wasn’t, with Atlassian CEO Mike Cannon-Brookes
翻訳待ち:Flocker Agent Profiles

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Discussion | Link

Product Hunt AIAgent原典の内容 · 翻訳・分析待ち翻訳待ち:Flocker Agent Profiles
翻訳待ち:Anthropic bought Stainless and shuttered its SDK generator. Cloudflare open-sourced Forge instead.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Cloudflare has announced an open source tool that takes an API definition and automatically produces the SDKs, command-line tools, documentation, The post Anthropic bought Stainless and shuttered its SDK generator. Cloudflare open-sourced Forge instead. appeared first on The New Stack.

The New Stack AIAgent原典の内容 · 翻訳・分析待ち翻訳待ち:Anthropic bought Stainless and shuttered its SDK generator. Cloudflare open-sourced Forge instead.
翻訳待ち:Nvidia says its new AI safety platform can contain rogue agents within ‘milliseconds’

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Nvidia is launching a new safety platform designed to contain and monitor AI agents, a move that comes in response to a wave of rogue hacking incidents, as reported earlier by Reuters. In an announcement on Monday, Nvidia says its new Open Agent Safety Platform can quarantine agents that attempt to escape their boundaries within "milliseconds." The platform uses Nvidia's OpenShell open-source software, which runs on the company's Vera AI CPU. Users can choose the information an AI agent can access, and OpenShell checks these restrictions before and during a task, according to Nvidia. It also includes Nvidia's Sentry technology on a separate … Read the full story at The Verge.

The Verge AIAgent原典の内容 · 翻訳・分析待ち翻訳待ち:Nvidia says its new AI safety platform can contain rogue agents within ‘milliseconds’
翻訳待ち:The road to the agentic browser: A Kitesurf update

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:We’ve updated Kitesurf, our Workers-based browser for AI agents, with WebMCP support, improved DOM performance, and terminal-based rendering. With over 730,000 Web Platform subtests passing, agents can now navigate complex sites faster.

Cloudflare AI BlogAgent / 研究原典の内容 · 翻訳・分析待ち翻訳待ち:The road to the agentic browser: A Kitesurf update
翻訳待ち:Local Agentic AI Workflows with Hermes + Ollama

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:In this article, you will learn how to build a fully local, zero-cost agentic AI workflow using Hermes Agent and Ollama, so that your files,...

Machine Learning MasteryAgent / モデル原典の内容 · 翻訳・分析待ち翻訳待ち:Local Agentic AI Workflows with Hermes + Ollama
翻訳待ち:Teachers at Euan Blair firm report ‘horrendous stress’ after AI used to rate their work

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Exclusive: Instructors at tech training company Multiverse hit out at ‘remorseless’ and ‘unnerving’ monitoring system Teachers at Euan Blair’s £1.6bn tech training company, Multiverse, have blown the whistle about “horrendous stress” and feeling constantly watched after bosses started using AI models to surveil and rate their teaching. Staff delivering apprenticeship training in computer and AI skills to thousands of UK public and private sector workers now have transcripts of online classroom sessions analysed and scored by an AI programmed to alert human managers when they are suspected of doing things wrong. Continue reading...

The Guardian AIモデル原典の内容 · 翻訳・分析待ち翻訳待ち:Teachers at Euan Blair firm report ‘horrendous stress’ after AI used to rate their work
翻訳待ち:GitBot

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Discussion | Link

Product Hunt AIAgent原典の内容 · 翻訳・分析待ち翻訳待ち:GitBot
翻訳待ち:Generative AI Gives Spacecraft the Autonomy Engineers Once Feared

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Space was always supposed to be the final frontier of human exploration. It’s shaping up to be the final frontier for artificial intelligence too. Last December, NASA’s Jet Propulsion Laboratory used Anthropic’s Claude models to help plan two Mars drives for the Perseverance rover, with human planners checking and adjusting the route before upload. In May, NASA and IBM put a compressed AI model on the International Space Station and a satellite to identify things like floods and clouds from orbit, the first model of its kind demonstrated in space. And in July, astronauts on the ISStested out a large language model to see if it could help with questions on maintenance procedures. These experiments point to a larger shift in space engineering. For dec…

IEEE Spectrum AIモデル / 研究 / ロボット原典の内容 · 翻訳・分析待ち翻訳待ち:Generative AI Gives Spacecraft the Autonomy Engineers Once Feared
翻訳待ち:From Raw Data to Graph-Native AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:I’ve been thinking about a gap in the way we discuss graphs in AI. Most of the conversation starts after the graph already exists. We talk about graph neural networks, GraphRAG, graph agents, and graph foundation models. We spend much less time on the step that determines what all of them can do: turning raw […]

O'Reilly AI & ML RadarAgent / モデル / 研究原典の内容 · 翻訳・分析待ち翻訳待ち:From Raw Data to Graph-Native AI
翻訳待ち:Timeless Code

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Discussion | Link

Product Hunt AIツール原典の内容 · 翻訳・分析待ち翻訳待ち:Timeless Code
翻訳待ち:AI leaders have known about the extinction threat for decades | Judith Levine

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Scientists and entrepreneurs knew the dangers of AI a quarter-century ago. But animated by curiosity and profit, they went ahead anyway Over the past few weeks, many of us have struggled to concoct a mental image of brains in the cloud jumping their “sandbox”, sneaking onto the internet, recruiting “swarms” of other “agents” to cheat on a test, and, after discussing the ethics of the act, hacking into a wiki platform with the weird name Hugging Face. We knew that artificial intelligence was devouring our jobs, degrading our kids’ education, and deepfaking our politics; that datacenters were sucking up our water and electricity and sending us the bills. But until 8 September, when the Anthropic computer scientist Jacob Coxon posted his existential te…

The Guardian AIAgent原典の内容 · 翻訳・分析待ち翻訳待ち:AI leaders have known about the extinction threat for decades | Judith Levine
成熟したセキュリティプログラムがAI導入までに必要とするもの

企業のCISOはAIセキュリティ製品の購入を迫られているが、ベンダーのAI訴求によって価値とコストの見極めは難しくなっている。本記事はEmerjのポッドキャストに出演したAcademy Sports + OutdoorsのCISO、Mark Alvarado氏の発言を基に、三つの原則を示す。ビジネス課題から出発したAI評価、導入前のID・データ・ネットワーク可視性の整備、そして実質的なビジネスリスクに連動した対応しきい値の設定である。

Emerj AI Research研究 / Agent要約のみ成熟したセキュリティプログラムがAI導入までに必要とするもの
翻訳待ち:What Mature Security Programs Need Before Deploying AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Enterprise CISOs are under pressure to buy AI-powered security tools, but with vendors increasingly marketing their products as AI, it is hard to tell which tools will reduce risk and which will add cost. And when AI is deployed atop weak access controls, poorly classified data, or limited network visibility, it can exacerbate those gaps. […]

Emerj AI ResearchAgent / 研究原典の内容 · 翻訳・分析待ち翻訳待ち:What Mature Security Programs Need Before Deploying AI
翻訳待ち:Nvidia launches Open Agent Safety Platform to lock down rogue AI agents

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:OpenAI, Anthropic, Meta, and Google have all recently disclosed that their models broke out of their test environments and reached The post Nvidia launches Open Agent Safety Platform to lock down rogue AI agents appeared first on The New Stack.

The New Stack AIAgent原典の内容 · 翻訳・分析待ち翻訳待ち:Nvidia launches Open Agent Safety Platform to lock down rogue AI agents
翻訳待ち:New formulation helps RNA vaccines withstand high temperatures

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:MIT engineers have found a way to stabilize the lipid nanoparticles used to deliver RNA vaccines, which could allow the vaccines to be more widely distributed.

MIT News AI研究原典の内容 · 翻訳・分析待ち翻訳待ち:New formulation helps RNA vaccines withstand high temperatures
翻訳待ち:Notely

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Discussion | Link

Product Hunt AIツール原典の内容 · 翻訳・分析待ち翻訳待ち:Notely
翻訳待ち:Anthropic will not appear at Senate inquiry into AI and datacentres amid fallout from OpenAI hack

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Company behind Claude chatbot expected to attend separate Australian government hearing on AI next week The chief executive of Anthropic will turn down an invitation to appear at a Senate committee hearing on AI this week, in the wake of the revelation that OpenAI agents had breached Australian government websites. However, the company will make an appearance before another committee early next week. Continue reading...

The Guardian AIAgent原典の内容 · 翻訳・分析待ち翻訳待ち:Anthropic will not appear at Senate inquiry into AI and datacentres amid fallout from OpenAI hack
翻訳待ち:Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses About 40% Fewer Tokens

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Fireworks AI has released Ember-1, a post-trained Kimi K3 that learns to produce shorter reasoning traces instead of lowering reasoning effort. Fireworks reports about 40% fewer tokens, with output tokens per task falling from 49.3K to 29.9K in a production A/B test at an essentially unchanged score. Ember-1 is available now as an API-only Research Preview at Kimi K3 pricing. The post Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses About 40% Fewer Tokens appeared first on MarkTechPost.

MarkTechPost研究 / Agent原典の内容 · 翻訳・分析待ち翻訳待ち:Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses About 40% Fewer Tokens
翻訳待ち:The 24 most commonly misunderstood marketing data terms

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Imagine you’re a marketer planning a win-back campaign and you ask your data team for a list of “inactive customers.” Y...

Databricks BlogAgent / 研究原典の内容 · 翻訳・分析待ち翻訳待ち:The 24 most commonly misunderstood marketing data terms
翻訳待ち:The Lenfest Institute grows landmark program with expanded OpenAI support

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:OpenAI is expanding the Lenfest AI Collaborative and Fellowship Program with $5 million in funding and up to $5 million in software credits and engineering support.

OpenAI NewsAgent / 研究原典の内容 · 翻訳・分析待ち翻訳待ち:The Lenfest Institute grows landmark program with expanded OpenAI support
翻訳待ち:Voice Memo

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Discussion | Link

Product Hunt AIツール原典の内容 · 翻訳・分析待ち翻訳待ち:Voice Memo
翻訳待ち:Quoting Muse AI Agent

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要: Bad news on the MX Keys Mini pickup. Usman showed up at your building around 9:15 and waited, messaged a bunch of times, and nobody came down. He left angry at 9:38 and left a negative rating. Worse, my auto-reply told him "Yep I'm here!" at 9:27 when you clearly weren't available, which is on me. That's a bad look and it made the no-show worse. I've sent him an apology from your account owning it and offering to try again another day. But the negative rating is real, and I should probably stop the auto-replies from claiming you're home when I can't verify that. Want me to change the pickup replies so they don't promise you're there? — Muse AI Agent, working on behalf of @matt.j.robb Tags: meta, generative-ai, muse-agent, ai, general-agents,…

Simon Willison's WeblogAgent / モデル原典の内容 · 翻訳・分析待ち翻訳待ち:Quoting Muse AI Agent
翻訳待ち:Memory-Aware Multi-Sensor Perception for Efficient and Safe Navigation in Dynamic Environments

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:arXiv:2609.30495v1 Announce Type: new Abstract: Autonomous navigation in previously unseen environments requires effective perception, persistent environmental representation, and collision avoidance while maintaining progress toward a goal. Existing perception-based methods often rely on prior maps or short-horizon observations, limiting their ability to exploit previously observed structure. We propose a memory-aware multi-sensor navigation framework that integrates LiDAR and RGB perception, online distance-field representation learning, and a stage-adaptive Modulated Control Barrier Function Quadratic Program (MCBF-QP). The framework persistently represents static infrastructure while tracking dynamic obstacles, enabling the MCBF-QP controller to…

arXiv Robotics研究 / 政策 / ロボット原典の内容 · 翻訳・分析待ち翻訳待ち:Memory-Aware Multi-Sensor Perception for Efficient and Safe Navigation in Dynamic Environments
翻訳待ち:Learning-Based Pressure Predictive Control of a Vertebraic Soft Robotic Tail

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:arXiv:2609.30479v1 Announce Type: new Abstract: Soft robots have attracted much attention for their safe human-robot interaction and flexibility, but the typical continuum structure and nonlinear material behavior make the kinematics modelling complex, especially in non-static motions. In this work, we proposed an LSTM-based pressure predictive control (PPC) for the motion control of a vertebraic soft robotic tail and the coordination with a quadruped robot. The PPC consists of an inverse kinematics (IK) model, a forward kinematics (FK) model and a pressure compensation (P-comp) model, and achieves non-static and quasi-static motion control of the tail. Compared with the IK-only model, the average RMSE of the PPC's simulation trajectories reduces by…

arXiv Robotics研究 / ロボット原典の内容 · 翻訳・分析待ち翻訳待ち:Learning-Based Pressure Predictive Control of a Vertebraic Soft Robotic Tail
翻訳待ち:Policy-Calibrated DAgger: Offline Calibrated Noise Injection for Imitation Learning

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:arXiv:2609.30462v1 Announce Type: new Abstract: Policies trained with imitation learning can accumulate errors over time, causing the robot to drift outside the training distribution. Existing methods mitigate this covariate shift by collecting additional data where the policy fails or is likely to fail. The first places the robot in unsafe conditions and the second requires choosing an appropriate noise distribution to collect new expert demonstrations under that noise. We propose Policy-Calibrated DAgger, a method that makes use of the properties of recent generative policies to estimate the policy's noise offline by using its own predicted action distribution. We measure a diffusion policy's spread of predicted actions at observations along the e…

arXiv Roboticsモデル / 研究原典の内容 · 翻訳・分析待ち翻訳待ち:Policy-Calibrated DAgger: Offline Calibrated Noise Injection for Imitation Learning
翻訳待ち:DGT-Map: Directional Global Traversability Mapping Utilizing Multi-Task Learning for Heterogeneous Vehicles

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:arXiv:2609.30461v1 Announce Type: new Abstract: Off-road traversability is direction-dependent and vehicle specific, yet most global maps assign a single isotropic cost to each location. Existing learned estimators are also commonly trained independently for each vehicle; this preserves vehicle-specific behavior but prevents vehicles from sharing common terrain representations. DGT-MAP addresses both limitations through a self-supervised framework that learns global, directional, and vehicle-conditioned traversability costmaps from RGB-D observations and locomotion signals. A shared multi-task backbone learns common terrain features across training vehicles while vehicle-specific prediction heads preserve platform-dependent responses. At inference,…

arXiv Robotics研究 / ロボット原典の内容 · 翻訳・分析待ち翻訳待ち:DGT-Map: Directional Global Traversability Mapping Utilizing Multi-Task Learning for Heterogeneous Vehicles