ニュース
Gradient Descent:The Engine of Machine Learning Optimization
Editor’s note: This article is a part of our series on visualizing the foundations of...
GPZ: A Next-Generation GPU-Accelerated Lossy Compressor for Large-Scale Particle Data
Particle-based simulations and point-cloud applications are driving a massive expansion in the size and complexity...
GPTopic: Dynamic and Interactive Topic Representations
arXiv:2403.03628v3 Announce Type: replace Abstract: Topic modeling seems to be almost synonymous with generating lists...
GPT-4o Understands Text, But Does It See Clearly? A Benchmarking Study of MFMs on Vision Tasks
Multimodal foundation models (MFMs) like GPT-4o, Gemini, and Claude have shown rapid progress recently, especially...
GPT and Prejudice: A Sparse Approach to Understanding Learned Representations in Large Language Models
arXiv:2510.01252v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly trained on massive...
Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models
arXiv:2512.17344v1 Announce Type: new Abstract: We present a governance-aware hybrid fine-tuning framework for multilingual, low-resource...
Google’s New Colab CLI Lets Developers and AI Agents Run Python on Remote Colab GPUs and TPUs From the Terminal
This week, Google AI team released the Colab CLI. The tool connects your local terminal...
Google’s new AI training method helps small models tackle complex reasoning
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly...
Google’s Jules aims to out-code Codex in battle for the AI developer stack
Google released Jules, its coding agent, into beta as autonomous coding agents are quickly gaining...
Google’s AlphaEvolve: The AI agent that reclaimed 0.7% of Google’s compute – and how to copy it
Google’s AlphaEvolve is the epitome of a best-practice AI agent orchestration. It offers a lesson...
Google’s ‘world-model’ bet: building the AI operating layer before Microsoft captures the UI
Google doubles down on its ‘world-model’ vision, racing to build an AI operating layer to...
Google Researchers Introduce LightLab: A Diffusion-Based AI Method for Physically Plausible, Fine-Grained Light Control in Single Images
Manipulating lighting conditions in images post-capture is challenging. Traditional approaches rely on 3D graphics methods...
