Infrastructure & Hardware B

Showing 151–180 of 204
  • Simon Willison's Weblog · EN New Model Releases extract
    uv 0.12.0
    Simon Willison walks through the breaking changes in uv 0.12.0's uv init
    Machine Learning
    Simon Willison covers Astral's release of uv 0.12.0, focusing on breaking changes to the default project scaffold produced by the uv init command versus the prior 0.11.x. He compares the output diff using a GitHub repo that auto-snapshots uv init results. Not a core AI topic but exported as an attention item, so summarized as usual. The full set of other breaking changes is truncated in the excerpt.
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  • NVIDIA Developer Blog · EN Infrastructure & Hardware extract
    Developing Healthcare Robotics with GPU-Native Medical Physics Simulation
    NVIDIA on healthcare robotics via GPU-native medical physics simulation
    Generative AI NVIDIA Reinforcement Learning Robotics
    NVIDIA's developer blog outlines an approach to developing healthcare robotics using GPU-native medical physics simulation. Unlike autonomous driving or industrial robotics, healthcare robotics cannot rely on internet-scale data collection or unlimited real-world experimentation, making physics-based simulation central to generating training data and validating behavior. Note: specific platform/tool names, simulation architecture, and quantitative benchmarks are not confirmed here.
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  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    $π\mathbf{R}^2$: Reactive Real-time Flow Policies
    Computer Vision Neural Network
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Spend Experts Where You Are Unsure: Confidence-Adaptive Routing for Mixture-of-Experts LoRA
    Llama Mixture of Experts (MoE) Retrieval-Augmented Generation (RAG)
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Desktop-Delta Bench: Do Computer-Use Models Understand Desktop GUI Transitions?
    AI Agents Inference Neural Network
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  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Instruction-Tuned Models Locally Reuse Human Syntax More Than Humans Do
    Llama Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Pictura: Perspective-View Self-Play at Scale for Driving
    AI Agents Neural Network
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  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    Physics-Aware End-to-End Deep Reinforcement Learning for Quadcopter Control with Actuator Dynamics
    Algorithms & Theory Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Quasi-SVD: Learning a Lie-constrained matrix factorisation for real-time imaging
    Algorithms & Theory Neural Network Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Polistemics: Evaluating LLMs as Information Mediators in Politics & Elections
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  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
    Computer Vision
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    European modular data center company Cyanis AI raises €250,000 in pre-seed financing
    European modular data center startup Cyanis AI raises €250K pre-seed
    Neural Network
    Cyanis AI, a European modular data center company, has raised €250,000 in pre-seed financing. The startup plans an initial 10MW deployment, positioning its modular infrastructure to meet growing AI-driven compute demand.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Flexential acquires 110 acres outside Dallas, Texas, for 108MW data center campus
    Flexential buys 110 acres near Dallas for a 108MW data center campus
    Flexential has acquired 110 acres in Talty, outside Dallas, Texas, to build a 108MW data center campus. The site is planned as a three-building campus, expanding the operator's capacity amid strong demand.
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  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    Penelope: Localized Latent Recurrence for Efficient Structured Reasoning
    Deep Learning Inference Software Engineering Transformer
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    AnnoBench: A Benchmark for Visualization Annotation Generation
    Neural Network
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Nvidia to invest $5bn in Safe Superintelligence, Sutskever firm to substantially increase GPU compute
    Nvidia to invest $5bn in Sutskever's Safe Superintelligence
    Google NVIDIA
    Nvidia plans to invest $5bn in Safe Superintelligence, the AI lab founded by Ilya Sutskever. The firm, which had reportedly relied on Google TPUs, is expected to substantially increase its GPU compute capacity following the investment.
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  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    Minimizing Targeted Activations: Input-Only Suppression of Evaluation-Awareness Latents in Large Language Models
    Inference Llama Machine Learning Neural Network Software Engineering
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    TSMC resumes production at Japanese fab following 7.1 magnitude earthquake
    TSMC resumes output at Japan fab after magnitude 7.1 quake
    TSMC has resumed production at its Japanese fab after a magnitude 7.1 earthquake forced a halt. The chipmaker said all on-site employees were evacuated and accounted for, signaling limited disruption to its semiconductor operations.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Core Scientific secures AMD as customer at five sites
    Core Scientific lands AMD as customer across five sites
    Core Scientific has secured AMD as a customer across five of its sites. The deal begins at an initial 500MW and could expand to as much as 2.5GW, reflecting surging demand for AI compute capacity.
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Stemma: Induced Decision Regions Reveal LLM Provenance
    Inference Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Policy & Regulation
    Runtime Uncertainty Monitoring for LLM-Based Multi-Agent Systems Using Bayesian Networks
    AI Agents Meta
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    A2TTA: Anchored-and-Agile Test-Time Adaptation for Evolving Traffic Sensor Networks
    Neural Network Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    AngelSpec: Towards Real-World High Performance Inference with Speculative Decoding
    Inference Reinforcement Learning
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Earthjustice-led coalition urges EPA to reject Chemours PFAS for data center cooling
    Coalition urges EPA to reject Chemours PFAS for data center cooling
    An Earthjustice-led coalition has urged the US EPA to reject Chemours' PFAS for use in data center cooling. The group accuses Chemours of relying on bad science, raising environmental and health concerns over the 'forever chemicals.'
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  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Prototype Adaptation for Zero-Shot sEMG Movement Classification
    Embeddings Inference Reinforcement Learning
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  • Data Center Dynamics · EN New Model Releases extract
    Johnson Controls releases absorption chiller reference design
    Johnson Controls unveils absorption chiller reference design for DCs
    Johnson Controls has released a reference design for an absorption chiller, outlining how data centers can reuse waste heat for cooling. The approach aims to improve energy efficiency and cut cooling costs amid rising thermal management demands.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Sponsored: Water consumption by data centers: A wrong issue?
    Sponsored: rethinking how data center water use is measured
    A sponsored piece argues that measuring data center water consumption at the facility level is no longer sufficient. It calls for a comprehensive, full-lifecycle approach integrating energy production, geography, and climate. (Sponsored content.)
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    SpectONet: A Physics-Guided Spectral Deep Operator Network for Euler-Bernoulli Beam Dynamics
    Machine Learning Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography
    Reinforcement Learning Transformer
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Image Quality Dependent Degradation for AI Systems
    Algorithms & Theory Computer Vision Deep Learning Neural Network Reinforcement Learning
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