Developer Tools B

Showing 421–442 of 442
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Eviction as Estimation: A Fixed-Lag Smoothing View of Test-Time Memory, and When Measuring Beats Accumulating
    Deep Learning NVIDIA Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    MMOE: Modernizing Diffusion Transformers with Efficient Expert Design
    Mixture of Experts (MoE) Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Reason-Mediated Behavioral Models for Auditing LLM Social Simulators
    Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Efficiency Matters in Autonomous Research
    Algorithms & Theory Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents
    AI Agents
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation
    Deep Learning Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair
    AI Agents
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review
    Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    PIVOT: Efficient Query-Group Indexing for Token-Level Sparse Attention
    DeepSeek Inference Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents
    AI Agents Reinforcement Learning Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    PYPM-GGD: Pitman-Yor Process Mixture with Generalized Gaussian Density using ADAM
    Deep Learning Inference Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    LLM-SoccerArena: Benchmarking LLMs on Real-World Predictions in Sports
    Claude GPT Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Nvidia considers $250bn backstop for OpenAI's planned 10GW Ohio data center - report
    Nvidia weighs $250bn backstop for OpenAI's 10GW Ohio data center
    Neural Network NVIDIA OpenAI
    According to a report, Nvidia is considering a backstop of up to $250 billion for OpenAI's planned 10GW data center in Ohio. The SoftBank-linked facility is reportedly slated for U.S. Department of Energy land. As a press report, terms and certainty are unconfirmed.
    Read original (Data Center Dynamics) ↗
  • Data Center Dynamics · EN Infrastructure & Hardware extract
    PowerHouse and Poe target another 550-acre data center campus outside Louisville, Kentucky
    PowerHouse and Poe plan a second 550-acre Kentucky data center
    PowerHouse and Poe are targeting another roughly 550-acre data center campus near Louisville, Kentucky, this time in Carrollton, their second campus in the state. Only a short summary was available, so investment scale and timing could not be confirmed.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing
    Deep Learning Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    TRACE-CTI: Auditable Post-Extraction Governance of TTP Claims with Knowledge Graphs
    Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Anthropic News · EN Developer Tools extract
    Cognizant and Anthropic expand their partnership to bring Claude to enterprise clients
    Cognizant and Anthropic expand partnership to scale Claude in enterprises
    Anthropic Claude Embeddings Neural Network Reinforcement Learning
    Anthropic is expanding its partnership with Cognizant, a major IT services firm, which is embedding Claude across platforms like Flowsource and Neuro AI Engineering and running Claude Code in spec-driven development. Over 30,000 associates completed Claude training, and Cognizant becomes a Global Premier Partner.
    Read original (Anthropic News) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage
    Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding
    Inference Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Task-Conditional Faithfulness Auditing of Multimodal LLMs for Grid Diagnosis
    Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    The K-SCAN Clustering Algorithm
    Algorithms & Theory Quantization
    Read original (arXiv cs.LG (Machine Learning)) ↗