A faster problem-solving tool that guarantees feasibility
news.mit.edu·1d
⚡ONNX Runtime
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Where to Buy or Rent GPUs for LLM Inference: The 2026 GPU Procurement Guide
🎯GPU Kernels
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Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
arxiv.org·3h
⚡ONNX Runtime
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Fleming-VL: Towards Universal Medical Visual Reasoning with Multimodal LLMs
arxiv.org·3h
🏎️TensorRT
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Efficient Curvature-aware Graph Network
arxiv.org·3h
🔄ONNX
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I made a tensor runtime & inference framework in C (good for learning how inference works)
📜TorchScript
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Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
arxiv.org·3h
🔄ONNX
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Training LLMs Beyond Next Token Prediction - Filling the Mutual Information Gap
arxiv.org·3h
🎓Model Distillation
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FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding
arxiv.org·3h
🧩Attention Kernels
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A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitorin...
arxiv.org·3h
🧮cuDNN
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How Low-Code/No-Code Platforms Are Powering Hyperautomation Across Enterprises
🤖AI Coding Tools
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📰 Major Tech News: November 4th, 2025: OpenAI's $38 Billion Amazon Pact, Nvidia's AI-Fueled Surge, and China's Chip Power Play
🤖AI Coding Tools
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MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training
🤖AI Coding Tools
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H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
arxiv.org·3h
⚡Flash Attention
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·3h
🤖AI Coding Tools
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ParallelMind Engine: First AI System with Parallel Logical Reasoning (202+ problems/sec)
🤖AI Coding Tools
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Balanced Multimodal Learning via Mutual Information
arxiv.org·3h
🎓Model Distillation
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VISTA Score: Verification In Sequential Turn-based Assessment
arxiv.org·1d
🔄ONNX
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Latent Domain Prompt Learning for Vision-Language Models
arxiv.org·3h
🧩Attention Kernels
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