Infrastructure & Hardware

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Showing 61–90 of 220
  • arXiv cs.AI (Artificial Intelligence) · EN Agents & Tool Use
    Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In
    AI Agents GPT Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Multi-View MoE: Letting Every Router Shape Expert Computation
    Deep Learning Mixture of Experts (MoE)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi-Format Proofs
    Deep Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Efficient Scalable Oversight via Rewinding
    Reinforcement Learning Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma Simulations
    Inference Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    MetaRefine: Score Refinement with Multi-Level Features for Image Assessment
    Meta Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    700MW data center project proposed outside Lansing, Michigan
    700MW data center proposed outside Lansing, Michigan
    A 700MW data center project has been proposed outside Lansing, Michigan. The proposal came from a local economic development agency, and local officials say they were blindsided.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    A Pretrained Model for Bayesian Filtering in Heterogeneous Dynamical Systems
    Algorithms & Theory Deep Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    GTC Berlin: Nvidia wants you to know it cares – just don’t ask too many questions
    GTC Berlin: Nvidia reframes its message for Europe, warily
    NVIDIA Reinforcement Learning
    At GTC Berlin, Nvidia tried to reframe its messaging for the European market, projecting that it cares. The piece questions whether European audiences were buying it.
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Nordic data center firm Heim secures investment from Omnes
    Nordic data center firm Heim secures Omnes investment
    Nordic data center firm Heim has secured investment from Omnes. The funding will go toward its first projects in Finland.
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Bridging Neural Representations and Symbolic Semantics in Audio Classification
    Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Understanding and Mitigating Role Spoofing in LLMs
    Retrieval-Augmented Generation (RAG)
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  • Data Center Dynamics · EN Infrastructure & Hardware
    Quantum DC cancels Australian data center community meeting over "credible bomb threat"
    Quantum DC cancels Australian community meeting over bomb threat
    Quantum DC cancelled a community meeting in Australia over a credible bomb threat. The proposed gigawatt-scale data center has faced local pushback.
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    DCD Studio: Regulating data centers - what can be done? With Allison Clements, ASG
    DCD Studio: Regulating data centers with ASG's Allison Clements
    Neural Network
    Zachary Skidmore speaks with ASG's Allison Clements about evolving FERC regulations, managing large energy loads, grid interconnection, and financial safeguards against speculative data center demand.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Don't Lose the Thread: Empowering Long-Horizon LLM Agents with Cognitive Resource Self-Allocation
    AI Agents Inference Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    A Unified Hessian-Guided Framework for Post-Training Quantization
    Neural Network Quantization
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Sponsored: Why data centers need to rethink copper and labor requirements at the design stage
    Sponsored: data centers must plan for copper and labor early
    Neural Network
    Sponsored piece arguing that copper forecasts will keep swinging and an electrician shortfall is projected to begin in 2027. Developers cannot wait for either to resolve, so should plan at the design stage.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Factorized Representations of Concurrent Temporal Variables in Pretrained Language Models
    Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    DolphinRouting: Cluster-Level Binary Routing for Disaggregated LLM Inference Serving
    Inference
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets
    Inference
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Neighborhood Elites: Quality-Diversity Search for Uncertainty Quantification in Question Answering
    Neural Network Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    Marwynn plots up to $500m AI data center and solar farm in Grenada
    Marwynn plots up to $500m AI data center and solar farm in Grenada
    Neural Network
    Marwynn plans an AI data center and solar farm in Grenada worth up to $500m. It has signed an MoU with Grenada National Resort, a large-scale luxury tourism and real estate development.
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Safety & Evaluation
    Simplifying safety to drive savings
    Simplifying safety to drive savings: Fastenal's consolidation
    Article on how Fastenal used consolidation to standardize data center spend, simplifying safety purchasing to drive savings.
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  • Data Center Dynamics · EN New Model Releases
    Conglomerate Chatterjee Group launches Cortex DC, targets 2GW of data center capacity in India
    Chatterjee Group launches Cortex DC, targeting 2GW in India
    Conglomerate Chatterjee Group has launched Cortex DC, which targets 2GW of data center capacity in India. Few details about the rollout have been shared.
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware
    PG&E sees marginal increase in data center pipeline
    PG&E sees marginal increase in data center pipeline
    PG&E reports a marginal increase in its data center pipeline, with 240MW of it in the construction phase.
    Read original (Data Center Dynamics) ↗
  • NVIDIA Developer Blog · EN Infrastructure & Hardware
    Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials
    NVIDIA on unlocking Tensor Core speed for ML interatomic potentials
    Machine Learning NVIDIA
    Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. NVIDIA's developer blog looks at getting more Tensor Core performance from ML interatomic potentials.
    Read original (NVIDIA Developer Blog) ↗
  • Sakana AI Blog (ja) · JA New Model Releases
    Intelligence Report: SNSのAI分析からみる米中間選挙
    Sakana AI reads the Texas Senate race from 710K social media reactions
    Inference Reinforcement Learning
    Sakana AI analyzed about 710,000 reactions on X to the Texas Senate race. It estimates Paxton's pre-runoff support was largely party mobilization, dropping from about 50% to under 20% afterward, and that sentiment shifted two months before forecasters moved.
    Read original (Sakana AI Blog (ja)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Attention, Dynamic Wave and Hybrid Sequence Mixers in Language Models
    Transformer
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN Training & Fine-tuning
    Surprise Alone Learns Lies: Evidence-Gated Continual Learning for LLMs from Streaming Claims
    Llama Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗