Infrastructure & Hardware

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Showing 61–90 of 149
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    FlashVector: Agent for Hierarchical Model Serving Stack Optimization
    AI Agents Machine Learning NVIDIA
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Indian renewable firm Waaree forms new data center subsidiary
    India's Waaree sets up data center subsidiary Aurovault
    Indian renewable firm Waaree Renewable Technologies has formed Aurovault Data Centers, wholly owned by its subsidiary Waaree Green Data Centers. Aurovault plans hyperscale, AI-ready and edge sites plus colocation in India and abroad, but has yet to begin operations.
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    OPEN-1B: A Fully Auditable Training Run
    Deep Learning Neural Network
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  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Large Language Models Develop Belief State Geometry In-Context
    Deep Learning Reinforcement Learning
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  • Data Center Dynamics · EN Infrastructure & Hardware
    AirTrunk partners with Emergence Quantum to explore cryogenic cooling in data centers
    AirTrunk and Emergence Quantum to explore cryogenic data center cooling
    AirTrunk signed an MoU with deep tech firm Emergence Quantum to explore cryogenic cooling and quantum computing in data centers. The pair say cryo-cooling can significantly improve the speed and energy efficiency of today's silicon chips and underpins future systems.
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Are diamonds a data center's best friend?
    Akash Systems brings diamond cooling to the data hall
    DCD profiled Akash Systems, which uses diamond to cool data center servers. Co-founder and CCO Surana says the team always carries a pebble-shaped diamond and slices through a block of ice as if it were butter to demonstrate its thermal conductivity.
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  • Data Center Dynamics · EN Infrastructure & Hardware
    What should Britain expect from its next generation of data centers?
    What Britain should expect from its next data centers
    A DCD opinion piece argues Britain's data center debate is shifting from how fast to build to what communities get back. Compute capacity still matters, but residents now ask about local power, water, land and environment as PM Andy Burnham presses for tangible benefits.
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Self-Emergence Agent Architecture:Behavior-Inertia HMM, Reflexive Metacognition,and Social-Contrastive Self-Modeling
    AI Agents Meta
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  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Vroom-Vroom at SHROOM-Visions: A Multi-Judge Committee for Detecting Hallucinated Spans in Vision-Language Outputs
    Computer Vision Neural Network
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  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Zero-shot narrative detection in social messaging
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Mo' Models, Mo' Problems: How to best select model pools when designing Multi-Agent Systems
    Software Engineering
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Sponsored: Why cooling media quality monitoring is becoming a critical part of data center liquid cooling strategies
    Why cooling media quality monitoring matters for liquid cooling
    In a sponsored DCD piece, Badger Meter's James Arnold argues that as AI, HPC and cloud push rack densities higher and liquid cooling becomes foundational, the quality of the cooling media itself deserves as much attention as thermal performance and system design.
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  • NVIDIA Developer Blog · EN New Model Releases
    Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE
    NVIDIA FLARE scales federated learning across Docker, K8s and Slurm
    NVIDIA
    NVIDIA showed how to scale federated learning with FLARE across Docker, Kubernetes and Slurm. Projects start with one server and a few clients, but as sites multiply the execution backends diverge; FLARE deploys the same job to each to contain operational overhead.
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Digital Realty, Colovore, Hut 8, CoreSite, and DataBank file to build data centers in Texas
    Five operators file to build Texas data centers
    Digital Realty, Colovore, Hut 8, CoreSite and DataBank have all filed to build data centers in Texas. The Lone Star State continues to appeal to operators, drawn by comparatively accessible power and land as capacity demand keeps climbing.
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  • Data Center Dynamics · EN New Model Releases
    AVK launches dedicated funding arm to own and operate onsite power solutions for data center customers
    AVK launches AVK Capital to own and operate onsite power
    AVK, an onsite power developer for data centers, has launched AVK Capital to fund, own and operate power infrastructure as a service. Backed by Partners Group's investment last month and over $1 billion of planned equity, it offers developers powered sites without the capital cost.
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  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models
    Inference Neural Network
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Digital Parks Africa expands into Nigeria, plans data center in Lagos
    Digital Parks Africa expands into Nigeria with a Lagos data center
    NVIDIA
    Digital Parks Africa is expanding into Nigeria with plans for a data center in Lagos. The operator's existing facility has won deals to host Bull and Nvidia hardware, reflecting growing demand for AI-capable capacity across the continent.
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  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    ResLRP: The Role of Residual Cancellation in Attribution Instability in Vision Transformers
    Neural Network Transformer
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    FirmCORe: A Benchmark for Structured Reasoning about Inter-Firm Collaboration Opportunities
    Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    An Empirical Study of Counterfactual Self-Explanations in LLMs
    Inference Llama Neural Network
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Symbolic Separation: Grounding Deep Agents in Knowledge Graphs for Trustworthy Operational Data Analytics
    AI Agents Generative AI Reinforcement Learning Software Engineering
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    High-Fidelity Digital Twin Data Models by Randomized Dynamic Mode Decomposition and Deep Learning with Applications in Fluid Dynamics
    Deep Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Scaling-Score Conformal Prediction for Multi-Target Regression
    Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    Sample-Conditioned Representation Selection for Audio Few-Shot Learning
    Inference Neural Network
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Repurposing Unified Topological Signatures for Graph Representation Learning
    Embeddings Neural Network Retrieval-Augmented Generation (RAG)
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Canada's Bell to quadruple capacity at planned Saskatchewan data center campus
    Canada's Bell to quadruple its Saskatchewan data center campus
    Neural Network
    Canadian carrier Bell plans to quadruple capacity at its proposed Saskatchewan data center campus, adding 900MW with room for further expansion. The upsizing follows a pattern of North American campus plans being revised upward around large AI power blocks.
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  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Learning Options for Compositional Motor Control with Adapter Banks
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    RiskChainBench: A Benchmark for Obfuscated Platform Message Restoration and Evidence-Grounded Web Investigation
    Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI
    Inference Transformer
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Task-Directed Residual AddUNet:Perfect-Reconstruction Routing for Full-Rate Representations
    Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗