Infrastructure & Hardware B

Showing 121–150 of 204
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    BayesAME: Bayesian Active Model Evaluation
    Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN Multimodal
    What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations
    Retrieval-Augmented Generation (RAG) Reinforcement Learning Software Engineering
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Rowan files for second building at data center campus in Temple, Texas
    Rowan files for a second, 500,000 sq ft building at its Temple, Texas campus
    DatacenterDynamics reports that Rowan has filed for a second building at its data center campus in Temple, Texas. The roughly 500,000-square-foot facility is due to go live next year. Power capacity and tenant details are outside the excerpt and unconfirmed.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Sponsored: Data center power density: Planning liquid-cooled AI data centers around grid and power constraints
    Sponsored: planning liquid-cooled AI data centers around grid and power limits
    Neural Network
    A sponsored DatacenterDynamics piece argues that, as data center power density climbs, planning liquid-cooled AI data centers successfully depends on understanding how power availability, cooling strategy and deployment timelines influence one another. As sponsored content, its specific recommendations sit in the full article rather than this excerpt.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Prioritizing data center uptime with optimal cooling strategies
    Opinion: optimal cooling strategies are key to data center uptime
    A DatacenterDynamics opinion piece argues that, as data center capacity expands and compute densities rise, thermal management is becoming one of the industry's most critical challenges, and that optimal cooling strategies are central to prioritizing uptime. Specific cooling techniques are discussed in the full article, outside this excerpt.
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  • arXiv cs.LG (Machine Learning) · EN Multimodal
    Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark
    Computer Vision Neural Network Transformer
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  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    A Compositional Theory of Causally Masked Transformers
    Embeddings Software Engineering Transformer
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning
    AI Agents Neural Network
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Talen looks to develop 23-building data center campus in Pennsylvania
    Talen plans a 23-building data center campus in Pennsylvania
    Neural Network
    DatacenterDynamics reports that Talen is looking to develop a 23-building data center campus in Pennsylvania, on a site previously earmarked for an Amazon campus. Power supply arrangements and construction timing are outside the excerpt and unconfirmed.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Brookfield to develop gigawatt-scale data center campus at DOE's Kentucky nuclear enrichment plant
    Brookfield to build a gigawatt-scale data center campus at a DOE Kentucky site
    Retrieval-Augmented Generation (RAG)
    DatacenterDynamics reports that Brookfield will develop a gigawatt-scale data center campus at the US Department of Energy's Kentucky nuclear enrichment site, with NextEra building natural gas generation and battery energy storage to power it. Construction and go-live timing and total investment are outside the excerpt and unconfirmed.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    9MW cryptomine in North Carolina up for sale
    9MW North Carolina cryptomine listed for $1.1m, pitched for data center use
    DatacenterDynamics reports that a 9MW cryptomining site in North Carolina is up for sale at $1.1 million, marketed as ready for conversion into a data center. The buyer and any conversion plans are outside the excerpt and unconfirmed.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    APAC data center firm AirTrunk secures $2.3bn in funding for JHB2 campus in Johor Bahru, Malaysia
    AirTrunk raises $2.3bn to fund a 270MW JHB2 campus in Johor Bahru, Malaysia
    DatacenterDynamics reports that APAC data center firm AirTrunk has secured $2.3 billion in funding for its JHB2 campus in Johor Bahru, Malaysia, financing construction of the 270MW site. The financing syndicate and completion timeline are outside the excerpt and unconfirmed.
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  • arXiv cs.AI (Artificial Intelligence) · EN Agents & Tool Use
    What Does It Take to Detect an AI Agent? Minimal Feature Sets for Behavioral Detection under Browser Automation
    AI Agents Machine Learning Neural Network Transformer
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Same Evidence, Different Target: Decoding How Diagnostic Evidence Bears on Causal Questions from Language-Model States
    Llama Neural Network Reinforcement Learning Software Engineering Transformer
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  • Data Center Dynamics · EN New Model Releases extract
    Electric truck firm Workhorse aims to enter data center space with containerized offering
    EV truck maker Workhorse eyes data centers with a containerized pod
    DatacenterDynamics reports that electric truck firm Workhorse aims to enter the data center space with a containerized offering. The new pod is still in development and could launch next year. Specifications and the go-to-market model are outside the excerpt and unconfirmed.
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Hearsay: Vision-Language Medical Diagnoses Without an Image
    Claude Computer Vision Gemini GPT Retrieval-Augmented Generation (RAG)
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    From Representations to Behaviors: Exploring the Person-Situation-Behavior Triad in LLMs
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    AI as Friction for Reflection Support in Ideation
    Generative AI Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    When Does Span-Guided Detoxification Help? Human Preferences and Evaluator Diagnostics in a Controlled Comparison
    Machine Learning Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Crossing-Free Probabilistic K-Line Forecasts Without Retraining
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  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case
    Fine-tuning Llama Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    MediaWiki Code2Code Search: Neural Retrieval for the Semantic Discovery of Open-Source Software Entities
    Deep Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Phoneme- vs. Character-Level Targets and Selective State-Space Models for Intracortical Brain-to-Text
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    AgenticCANN: Automated Ascend C Operator Generation via Knowledge-Augmented Agentic Evolution
    Inference Neural Network
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  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Contrastive ESA: Human Evaluation of Multiple Translations at Once
    Neural Network
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  • Berkeley AI Research (BAIR) Blog · EN Infrastructure & Hardware extract
    From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
    Berkeley's K-Search maps CUDA kernel know-how onto Apple Silicon (MLX)
    Deep Learning Machine Learning
    UC Berkeley's BAIR blog presents K-Search, which translates decades of accumulated CUDA GPU-kernel optimization know-how into architecture-native strategies for Apple Silicon's MLX, rather than copying instructions verbatim. It targets the cost of re-discovering optimizations when porting kernels across increasingly diverse vendor chips. Note: the retrieved excerpt is truncated, so the exact search algorithm and benchmarks are unconfirmed.
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes
    Inference
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation
    Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Mergeable Model-Side Aggregation States for Long-Context Language Models
    Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Knowledge before Reasoning: EC-Reason-Bench, a Training-Free Diagnostic Benchmark for LLM Enzyme Classification
    Inference Machine Learning Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗