Grabette : 로봇 조작 데이터를 기록하는 개방 시스템
Grabette : 로봇 조작 데이터를 기록하는 개방 시스템
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Import AI 465: Open vs closed gaps; Kimi K3; Demis' big policy plan
The singularity will be seen in hindsight as an interregnum
번역 대기 중 · 원문 표시 · enIntroducing Gemini 3.5 Flash Cyber
Google introduces Gemini 3.5 Flash Cyber, a lightweight cybersecurity model to find and patch vulnerabilities.
번역 대기 중 · 원문 표시 · enOur approach to bioresilience
Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.
번역 대기 중 · 원문 표시 · en더 새로운 모형, 동일한 이점
더 새로운 모형, 동일한 이점
보안 사고 공개 - 7월 2026
보안 사고 공개 - 7월 2026
Towards demystifying the creativity of diffusion models
Algorithms & Theory
번역 대기 중 · 원문 표시 · enReal World VoiceEQ 소개
Real World VoiceEQ 소개
Thinking Machine의 환영 Inkling
Thinking Machine의 환영 Inkling
모형 Routing는 간단합니다. 그것까지.
모형 Routing는 간단합니다. 그것까지.
Empowering India’s next generation of innovators with ATL Saathi
Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.
번역 대기 중 · 원문 표시 · enPyTorch (Part 3)에서 직업 : 관심은 모든 프로필입니다
PyTorch (Part 3)에서 직업 : 관심은 모든 프로필입니다
Your Prompts and Skills need a system of record.
Studio provides a system of record for AI prompts and skills—versioned, owned, and traceable. Iterate fast, ship with control, and ensure consistent AI behavior.
번역 대기 중 · 원문 표시 · enSensorFM: Towards a general intelligence and interface for wearable health data
Generative AI
번역 대기 중 · 원문 표시 · enIntroducing Robostral Navigate
Introducing Robostral Navigate: 8B model achieving 76.6% on R2R-CE with just a single RGB camera. No depth sensors, LiDAR, or multiple cameras needed.
번역 대기 중 · 원문 표시 · enNative-speed vLLM 변압기 모델링 백엔드
Native-speed vLLM 변압기 모델링 백엔드
The power of collaboration: How we can reduce traffic congestion
Algorithms & Theory
번역 대기 중 · 원문 표시 · enIntelligence is Free, Now What? Data Systems for, of, and by Agents
... government of the people, by the people, for the people ... — Abraham Lincoln, Gettysburg Address (1863) The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1, and some providers are pushing costs below $0.10. Across benchmarks, inference prices have fallen between 9x and 900x per year, with a median decline near 50x. Even frontier models are getting dramatically cheaper each generation, with open-source models following closely behind. And crucially, even if “Nobel-Prize-winning genius-level” intelligence isn’t here yet, the intelligence that suffices for the vast majority of knowledge work is here today, and getting cheaper by the month. At this rate, we are soon entering the era of virtually free
번역 대기 중 · 원문 표시 · enHugging 얼굴 모델 에 Foundry Managed Compute
Hugging 얼굴 모델 에 Foundry Managed Compute
Hugging Face에서 Amazon SageMaker Studio로 클릭
Hugging Face에서 Amazon SageMaker Studio로 클릭