Infrastructure & Hardware B

Showing 31–60 of 218
  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Zero-Mem: Zero-Token Memory Operations for LLM Agents
    AI Agents Neural Network Software Engineering
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    AWS looks to build 800,000 sq ft data center campus at GWU site in Ashburn, Virginia
    AWS eyes 800,000 sq ft data center campus in Ashburn, Virginia
    AWS is looking to build an 800,000 sq ft data center campus on a former GWU site in Ashburn, Virginia, DatacenterDynamics reported. A county supervisor vowed to use 'every tool available' to fight the development, underscoring growing local pushback against data center expansion.
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    DualDiT: A Conditional Dual-Output Diffusion Transformer for Joint OCT Image and Segmentation Mask Generation
    Neural Network Reinforcement Learning Transformer
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    CyrusOne files to develop three buildings for $1.5bn data center campus in Fairfield, Texas
    CyrusOne files for $1.5bn, three-building data center campus in Texas
    Meta
    CyrusOne filed to develop three buildings for a $1.5bn data center campus in Fairfield, Texas. Construction has already begun on two of the buildings, with the third slated to start next month, reflecting the ongoing surge in large-scale data center investment across the US.
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  • Data Center Dynamics · EN Multimodal extract
    Veolia to operate 350MW gas-powered microgrid for Ohio data center campus
    Veolia to run 350MW gas-powered microgrid for Ohio data center
    Veolia will operate a 350MW microgrid for an Ohio data center campus, according to DatacenterDynamics. The system will be anchored by natural gas generation and supplemented with a battery energy storage (BESS) unit to provide reliable power for the large facility.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Legacy Investing buys printing press in Minneapolis, Minnesota, for data center development
    Legacy Investing buys Minneapolis printing press for data center
    Neural Network
    Legacy Investing acquired a printing press site in Minneapolis, Minnesota, for data center development, DatacenterDynamics reported. The firm is planning a 20MW facility despite an ongoing moratorium on new data centers in the city.
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    OsteoCAD: A Human-in-the-Loop Cloud-Edge Framework for Bone Tumor Segmentation
    Deep Learning Inference Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation
    Neural Network Retrieval-Augmented Generation (RAG)
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Small Is Enough: Per-User Style Rewriting of AI-Edited Text via LoRA Adapters
    Inference
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  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    MOSAIC: Masked Outsourcing of Secure AI Computations
    Inference Quantization Transformer
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning
    Reinforcement Learning
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  • ITmedia AI+ · JA Infrastructure & Hardware extract
    キオクシアQ1決算、純利益は前年比4500%増 AIデータセンター向け需要がけん引
    Kioxia Q1 net profit up 4,506% YoY, driven by AI data-center demand
    Semiconductor maker Kioxia Holdings said net profit for its fiscal Q1 (April–June 2026, IFRS) reached ¥842.165bn, up 4,506% year on year. The company attributed the jump to surging memory demand from AI data centers.
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  • arXiv cs.CL (Computation and Language) · EN Multimodal
    Faster but Different: Diagnosing and Controlling Content Drift in Accelerated Multimodal Diffusion Language Models
    Deep Learning Machine Learning Neural Network
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning
    Deep Learning Inference Transformer
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  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    PARALLEL: A Prefrontal-Aligned Reinforcement inspired Approach for Language-Model Learning under Explicit Limits
    Deep Learning Machine Learning Neural Network
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Token-Level Diagnosis of Sycophancy in LLMs with Attribution-Guided Steering
    Inference Neural Network
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  • Cohere Blog · EN New Model Releases extract
    Cohere signs EU Code of Practice on Transparency of AI-Generated Content
    Cohere signs EU Code of Practice on AI content transparency
    Neural Network Reinforcement Learning
    Cohere said it signed the EU Code of Practice on Transparency of AI-Generated Content, joining other companies committing to clearer labeling and provenance for AI outputs. The move signals alignment with Europe's emerging AI governance framework.
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  • Simon Willison's Weblog · EN Infrastructure & Hardware extract
    Advancing the price-performance frontier with GPT‑5.6
    OpenAI slashes GPT-5.6 prices: Luna down 80%, Terra down 20%
    Anthropic Gemini GPT Inference OpenAI
    OpenAI announced steep price cuts for GPT-5.6, with Luna dropping 80% and Terra 20%. The company credits GPT-5.6 Sol for enabling the reduction by optimizing load balancing and even the model's forward pass, the computation that turns inputs into next-token predictions.
    Read original (Simon Willison's Weblog) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models
    Deep Learning Neural Network Software Engineering Speech Processing
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  • Simon Willison's Weblog · EN New Model Releases extract
    llm 0.32rc2
    llm 0.32rc2 switches its default model to GPT-5.6 Luna
    GPT Machine Learning Neural Network OpenAI Reinforcement Learning from Human Feedback (RLHF)
    Simon Willison released llm 0.32rc2, fixing a dependency issue and changing the default model for users who have not set one from GPT-4o mini to the newer, more capable GPT-5.6 Luna. Luna is slightly more expensive but a notable upgrade.
    Read original (Simon Willison's Weblog) ↗
  • NVIDIA Developer Blog · EN Infrastructure & Hardware extract
    Run High-Performance Core Math at Scale with NVIDIA nvmath-python
    NVIDIA introduces nvmath-python for high-performance math at scale
    Generative AI NVIDIA
    NVIDIA presented nvmath-python, a library bridging the Python scientific community with CUDA-X math libraries. It lets developers run high-performance core math at scale from Python, making GPU acceleration easier to adopt in numerical workloads.
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  • NVIDIA Developer Blog · EN Agents & Tool Use extract
    Four Ways to Deploy More Secure AI Agents
    NVIDIA outlines four ways to deploy more secure AI agents
    AI Agents Generative AI NVIDIA
    NVIDIA outlined four approaches to deploying AI agents more securely in production, covering access controls, guardrails, and monitoring. The guidance targets security risks that arise as autonomous agents take on real workloads.
    Read original (NVIDIA Developer Blog) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    ReToken: One Token to Improve Vision-Language Models for Visual Retrieval
    Computer Vision Embeddings Inference
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  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers
    Computer Vision Quantization Retrieval-Augmented Generation (RAG) Reinforcement Learning Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Sample More, Reflect Less: Self-Refine and Reflexion Lose to Repeated Sampling at Equal Token Cost, from 1.5B to 7B
    Deep Learning Reinforcement Learning Software Engineering
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    ORCA-bench: How Ready Are Language Model Agents for Oncall?
    AI Agents Claude
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  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    AI systems and the reproduction of (standard) language ideologies in World Englishes
    Generative AI Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Selective Credibility-Limited Belief Update
    Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    InfoOps Bench: A live information operations safety benchmark
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning
    Inference Neural Network
    Read original (arXiv cs.CL (Computation and Language)) ↗