Infrastructure & Hardware

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Showing 181–210 of 210
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Learning Force-Reactive Humanoid Loco-Manipulation
    Neural Network
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  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Does VGGT Know What It Does Not Know?
    Neural Network
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Ecoblox partners with Rimac on modular data center solution
    Ecoblox partners with Rimac on modular data center
    Ecoblox has partnered with Rimac on a modular data center solution. The first deployment is slated for Rimac's campus in Kerestinec, Croatia.
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  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    A theory of noisy linear recurrent neural network learning dynamics
    Neural Network
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Cadence unveils Nvidia-powered AI data center in Munich, Germany
    Cadence unveils Nvidia-powered AI data center in Munich
    NVIDIA
    Cadence announced an Nvidia-powered AI data center in Munich, Germany. The facility will support electronic design automation and simulation workloads and will also offer sovereign AI cloud services.
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Sponsored: The next evolution of data center backup power
    Sponsored: next evolution of data center backup power
    A sponsored piece on the next evolution of data center backup power, focused on building flexibility into the system starting from the engine up.
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    EEGaze: Multimodal Attention Prediction in Visual Search via EEG-Based Saliency Refinement
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    LUCID: Local Understanding of Covariate Importance with Conditional Density Estimation
    Machine Learning Neural Network Reinforcement Learning
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Anthropic files S-1 for IPO, with $417bn in compute commitments
    Anthropic files S-1 for IPO, citing $417bn in compute commitments
    Anthropic
    Anthropic has filed an S-1 for its IPO, disclosing $417 billion in compute commitments. The data center costs are spread over the next 20 years.
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Can JEV Support Clinical Trial Criteria Assessment?
    GPT Software Engineering
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Quantitative Generalization Bounds for Multi-Layer Transformers: A Few Long Strings can Beat Many Short Ones
    Machine Learning Quantization Transformer
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Triage: Skip, Skim, or Refine Attention Tiles in Video Diffusion Transformers
    Inference Transformer
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    From Self-Confidence to Statistical Accuracy: Scaling Human-in-the-Loop Evaluation with Direct and LLM-Assisted Auditing
    Inference Machine Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Towards a Unified Framework of Optimal Input-Side Dimensional Configuration for Deep CTR Prediction
    Embeddings Machine Learning Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    GNN-VIEW: Visual Inspection and Explanation of Graph-based Earth-System Models
    Machine Learning Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images
    Neural Network Reinforcement Learning
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  • Data Center Dynamics · EN Infrastructure & Hardware
    ZutaCore details new two-phase boiling technology for liquid-cooled data centers
    ZutaCore details new two-phase boiling tech for liquid cooling
    ZutaCore detailed a new two-phase boiling technology for liquid-cooled data centers. The new boiling design is available in the company's ultra-thin cold plate.
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Fireworks to lease data center capacity in Dallas, Texas
    Fireworks to lease data center capacity in Dallas, Texas
    Fireworks will lease data center capacity in Dallas, Texas, from a venture between Forum Markets and Edge Node.
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks
    DeepSeek Gemini GPT Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Karman completes power orchestration pilot at NextGen data center in Montreal, Canada
    Karman completes power orchestration pilot in Montreal
    Karman has completed a power orchestration pilot at NextGen's data center in Montreal, Canada. It plans to extend the software rollout across NextGen's European operations.
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Theft of AI equipment hits $150m in 2026, with fraud responsible for 92% of incidents – report
    AI equipment theft hits $150m in 2026, 92% of cases fraud
    Cargo risk firm Overhaul reports AI equipment theft reached $150 million in 2026, with fraud responsible for 92% of incidents. Reports of stolen data center equipment are up 34 percent since 2024.
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Generative Bionics plans AI data center and humanoid robotics factory in Italy
    Generative Bionics plans AI data center and robot factory in Italy
    Robotics
    Generative Bionics plans an AI data center and a humanoid robotics factory in Italy. The project could form the first part of a network of physical AI factories.
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  • NVIDIA Developer Blog · EN Infrastructure & Hardware
    How NVIDIA Minerva Turns Telemetry Chaos Into Peak GPU Yield
    NVIDIA explains how Minerva turns telemetry chaos into peak GPU yield
    Machine Learning NVIDIA
    NVIDIA describes the operational complexity of AI factories running hundreds of thousands of GPUs on Spectrum-X Ethernet, and introduces Minerva, a system that organizes telemetry data to maximize GPU yield.
    Read original (NVIDIA Developer Blog) ↗
  • Publickey · JA New Model Releases
    AWSとGoogle Cloudが「PyTorch」のAWS Trainium、Google Cloud TPU対応版をオープンソースで公開。NVIDIAからの移行に挑む
    AWS and Google Cloud open-source PyTorch for Trainium and TPU
    Google Machine Learning NVIDIA
    At PyTorch Conference 2026 in California on October 20-21, AWS and Google Cloud each announced open-source PyTorch versions supporting their own AI processors, AWS Trainium and Google Cloud TPU, in a move aimed at drawing users away from NVIDIA.
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  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Active Learning of Conditional Generative Models via the Transport Neural Tangent Kernel
    Reinforcement Learning
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Cooler Master announces 2.5MW in-row CDU
    Cooler Master announces 2.5MW in-row CDU
    Neural Network
    PC gaming hardware company Cooler Master announced a 2.5MW in-row coolant distribution unit, expanding its data center cooling lineup.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    From Language to Drives: A Multimodal Framework for Aligning Autonomous Robots with Human Purposes
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Navigating data centers' power-price conundrum
    Navigating data centers' power-price conundrum
    An article asking how data center assets can be run without letting energy costs spiral out of control.
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    KAPPA: Checking the Proofs in Statistics Papers with Lean 4 and Language Model Agents
    AI Agents Claude Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    SAP-ViT: A Self-Attributing Patch Vision Transformer for Medical Image Classification
    Embeddings Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning Transformer
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗