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翻訳待ち:Looking beyond natural sequences

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:A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

MIT News AI研究サイト内本文
翻訳待ち:Show HN: Apronagents – give each AI coding agent a disposable Git remote

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:Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Latest commit History 177 Commits 177 Commits Folders and files NameName Last commit message Last com…

Hacker News AIAgentサイト内本文
翻訳待ち:AI Weeds Out Job Applicants with Disabilities, Lawsuit Claims

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:AI Weeds Out Job Applicants With Disabilities, Lawsuit Claims by Jean Marbella, The Baltimore Sun/TNS | August 25, 2026 Facebook Twitter Google+ --> LinkedIn Pinterest --> Email BALTIMORE — A lawsuit claiming that Workd…

Hacker News AIツールサイト内本文
翻訳待ち:I built a long-horizon AI harness that doesn't live in the chat

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:The product is the crane A long-horizon harness you run. Not a plugin pack inside someone else’s. Most things branded “harness engineering” are skills, agents, and slash commands that sit inside Claude Code or Copilot.…

Hacker News AIAgentサイト内本文
翻訳待ち:Introducing OpenAI models on Amazon Bedrock for in-country inferencing in India

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:Amazon Bedrock now supports the OpenAI GPT-5.6 models, Terra and Luna, in India with India geographic cross-Region inference. If you have local data processing requirements, you can now use these models at scale while Amazon Bedrock keeps inference requests and data within India.

AWS Machine Learning BlogAgent / モデルサイト内本文
翻訳待ち:Introducing India cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock

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:Amazon Bedrock now supports the OpenAI GPT-5.6 models, Terra and Luna, in India with India geographic cross-Region inference. If you have local data processing requirements, you can now use these models at scale while Amazon Bedrock keeps inference requests and data within India.

AWS Machine Learning BlogAgent / モデルサイト内本文
翻訳待ち:The AI 'Ghosts' Contaminating Academic Publishing

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:Advertisement • Go ad free · Aug 27, 2026 at 2:14 PM “The academic record is being quietly haunted” by researchers with names like Elena Vasquez and Marcus Chen. “Elena Vasquez and Marcus Chen have appeared as volc…

Hacker News AIAgent / 研究サイト内本文
翻訳待ち:Pushing GPT-5.6 Luna from 0% to 56% on ARC-AGI-3 Public

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:Research August 27, 2026 For long-horizon agents, model capability alone does not determine system capability. Infrastructure orchestration multiplies what models can do. INT21’s SwarmOS tested this hypothesis on the AR…

Hacker News AIチップ / Agent / モデルサイト内本文
翻訳待ち:AMD Jumps from ROCm 7.14 to ROCm 10.0 with Rocm.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:AMD Jumps From ROCm 7.14 To ROCm 10.0 With ROCm.AI Back in July ROCm 7.14 was announced as their new production release built atop TheRock build system and introducing Ryzen AI 400 series support. The versioning choice…

Hacker News AIチップサイト内本文
翻訳待ち:Reimagining Homework in the Age of AI by Prioritizing Engagement

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:← Back to Blog A recent study of students using AI in China found that they completed homework faster and scored higher on it, while their later exam performance fell. My hypothesis is that the 30% drop in time spe…

Hacker News AI研究サイト内本文
翻訳待ち:Best Agent Sandboxes in 2026: Cold Start, Per-Second Pricing, and Network Policy Across E2B, Daytona, Modal, Cloudflare, and Vercel

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:Every agent that writes code needs somewhere to run it, and no two vendors quote the same units. This comparison measures burst cold start across E2B, Daytona, Modal, Cloudflare, and Vercel, normalizes per-second rates to cost per 1,000 executions, and maps filesystem persistence, idle billing, and egress policy against primary sources verified August 27, 2026. The post Best Agent Sandboxes in 2026: Cold Start, Per-Second Pricing, and Network Policy Across E2B, Daytona, Modal, Cloudflare, and Vercel appeared first on MarkTechPost.

MarkTechPostチップ / Agentサイト内本文
翻訳待ち:10 Essential Agentic AI Concepts Explained Simply

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:AI agents are everywhere right now. You hear terms like tool calling, agent loops, MCP, guardrails thrown around as if its common language… it isn’t! But that is about to change. Agentic AI isn’t nearly as complicated as it sounds once you understand the few core ideas that actually matter. Here are 10 agentic AI concepts […] The post 10 Essential Agentic AI Concepts Explained Simply appeared first on Analytics Vidhya.

Analytics VidhyaAgent / 研究サイト内本文
翻訳待ち:Surprising AI breakthroughs raise soul-searching questions for mathematicians | Letter

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:Whether mathematics thrives or perishes in the age of AI depends on what it is that society values in the human intellect, writes Dr Henry Bradford I share Kasra Rafi and Bruce Schneier’s impression that recent mathematical breakthroughs by AI consist in clever recombination of existing ideas, not development of truly novel theory (No, AI doesn’t mean the end of mathematics – at least not yet, 25 August). The question is: what happens to mathematics if this changes? Like many mathematicians, I have done much soul-searching in recent weeks, especially since a key problem in my own field of group theory (the existence of non-sofic groups) was solved this month by OpenAI’s Astra model. Astra’s proof consists largely in a slight twist on theorems by my colleagues Gabor Kun and Andreas Thom. That said, even a few months ago I would have found the idea that AI was capable of such a breakthrough incredible, so it seems foolhardy now to bet against AIs achieving superhuman capabilities in all areas of mathematical thought in the coming years. Continue reading...

The Guardian AIツールサイト内本文
翻訳待ち:A new start after 60 in an old occupation | Brief letters

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:Grocers and greengrocers | Serbelloni group AI warning | Walking over cars | Christmas catalogues | Appropriate names Living with nostalgia as I am, I enjoyed solving the Wordsearch in Monday’s paper featuring old occupations. However, the man described as a “grocer” in your feature (A new start after 60, 24 August) is surely a greengrocer. Could that word have been included in the Wordsearch as an “old occupation”, or just an old word? David Jones Spalding, Lincolnshire • I daresay not many people knew about the Serbelloni group’s findings (Letters, 25 August). However, millions watched the machines crushing humanity in The Terminator a dozen years later, in 1984. We can’t say that we weren’t warned. Cassy Firth Morley, West Yorkshire Continue reading...

The Guardian AI研究サイト内本文
翻訳待ち:Runable raises $21M to realize small businesses’ growth vision using 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:Runable Inc., a platform that uses artificial intelligence to help businesses build, run and grow, announced Wednesday that it raised $21 million in early-stage funding to scale its operations and reach more enterprise outfits. Susquehanna Venture Capital and Nexus Venture Partners co-led the Series A funding round, alongside continued support from existing investors Together Fund […] The post Runable raises $21M to realize small businesses’ growth vision using AI agents appeared first on SiliconANGLE.

SiliconANGLE AIAgent / スタートアップサイト内本文
翻訳待ち:CMS with AI, Not AI CMS: Wagtail 8.0's New API

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:Wagtail’s just-released 8.0 release notes are very unusual. Zero admin UI improvements in the highlights, even though UX is one of Wagtail’s biggest strengths. We made a strategic choice to focus on a shiny new API inst…

Hacker News AIAgentサイト内本文
翻訳待ち:BRIN is 1/4570th the size of a B-tree, until 5% of rows are updated

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:All posts Oracle vs PostgresAug 27, 202611 min read BRIN is 1/4570th the size of a B-tree, until 5% of rows are updated I co-owned the Zonemaps module at Oracle, and BRIN is the same design in Postgres. It stops pruning…

Hacker News AIツールサイト内本文
翻訳待ち:Chinese AI Models Overtake American Rivals in Popularity

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:Take that, OpenAI! Anthropic! Chinese AI models have surpassed their U.S. counterparts in token consumption on OpenRouter. You might think U.S. AI companies dictate the AI economy. You’d be wrong. According to dat…

Hacker News AIチップ / Agent / モデルサイト内本文
翻訳待ち:This duck will teach you reinforcement learning — and pick up your socks

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:You could have a mechanical duck waddling through your home before Christmas. Hugging Face‘s Pollen Robotics on Thursday opened pre-orders The post This duck will teach you reinforcement learning — and pick up your socks appeared first on The New Stack.

The New Stack AIチップ / 研究 / 政策サイト内本文
翻訳待ち:Jensen Huang says Nvidia achieved AGI, again — not that it matters

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:On Nvidia's earnings call Wednesday, CEO Jensen Huang casually announced the company had "achieved AGI," one of the tech industry's ultimate goals some of its biggest players have spent years chasing. Almost immediately, Huang dismissed the coveted milestone as "senseless." He's right. For the supposed finish line of the AI race, there is no consensus on what artificial general intelligence means, let alone how we'll know when we've actually got there, which makes achieving it equally arbitrary. Asked about OpenAI's pursuit of AGI, Huang said that when it comes to Nvidia, "for many tasks, we could say that we've already achieved AGI." … Read the full story at The Verge.

The Verge AIチップ / Agent / 研究サイト内本文
翻訳待ち:Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics

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:Self-hosted speech AI carries an observability trade-off: the numbers that drive capacity planning and cost management stay locked inside the vendor container. Deepgram closes that gap on Amazon SageMaker AI with two capabilities that land billing, usage, and per-GPU metrics directly in your own Amazon CloudWatch account.

AWS Machine Learning Blogチップ / Agentサイト内本文
翻訳待ち:Reduce ASR inference costs by 75% with NVIDIA MPS on Amazon EC2

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:Serving automatic speech recognition (ASR) models at scale is costly when each request uses only a fraction of a GPU. Learn how NVIDIA CUDA Multi-Process Service (MPS) with NVIDIA Triton Inference Server on Amazon EC2 GPU instances cuts GPU infrastructure by 75% while holding sub-second latency at 92.1 requests per second per GPU.

AWS Machine Learning Blogチップ / 研究サイト内本文