(PR) AMD Reports Record Q3 2025 Revenue of $9.2 Billion
techpowerup.comยท11h
๐Ÿ”Nsight
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mkinitcpio v40 released and now in core-testing
lists.archlinux.orgยท10hยท
Discuss: r/archlinux
๐Ÿ“ŠProfiling Tools
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We found embedding indexing bottleneck in the least expected place: JSON parsing
nixiesearch.substack.comยท1dยท
Discuss: Substack
๐Ÿ•Ruff
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This feels like the early Internet moment for AI.
threadreaderapp.comยท1d
โšกONNX Runtime
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A Decade of AI Platform at Pinterest
medium.comยท15h
๐Ÿš€MLOps
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Enhanced Bone Fracture Prediction via Multi-Modal FEA & Deep Learning Integration
dev.toยท1dยท
Discuss: DEV
๐ŸŽ๏ธTensorRT
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Speech-DRAME: A Framework for Human-Aligned Benchmarks in Speech Role-Play
arxiv.orgยท1d
๐Ÿ”„ONNX
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Spiking Neural Networks: The Next Leap in AI Power Efficiency by Arvind Sundararajan
dev.toยท8hยท
Discuss: DEV
โšกONNX Runtime
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Real-time Semantic Segmentation for AR Glasses: Dynamic Occlusion Handling via Bayesian Fusion
dev.toยท1dยท
Discuss: DEV
๐ŸŽ๏ธTensorRT
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ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpus
arxiv.orgยท1d
๐Ÿค–AI Coding Tools
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Building MeridianDB: Solving AI's Memory Crisis with Multi-Dimensional RAG
dev.toยท35mยท
Discuss: DEV
โšกONNX Runtime
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.orgยท1d
๐Ÿ”„ONNX
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From Uniform to Adaptive: General Skip-Block Mechanisms for Efficient PDE Neural Operators
arxiv.orgยท1d
๐ŸŽ๏ธTensorRT
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Quantum AI: Are We Building Castles in the Clouds? by Arvind Sundararajan
dev.toยท2hยท
Discuss: DEV
๐Ÿ“‰Model Quantization
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Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
arxiv.orgยท4h
๐Ÿ”—Kernel Fusion
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World Simulation with Video Foundation Models for Physical AI
arxiv.orgยท1d
๐ŸŽ๏ธTensorRT
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End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning
arxiv.orgยท1d
๐ŸงฎcuDNN
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A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding
arxiv.orgยท4h
๐ŸงฉAttention Kernels
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.orgยท1d
๐Ÿ“ŠGradient Accumulation
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.orgยท1d
๐ŸŽ“Model Distillation
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