Attention Optimization, Memory Efficiency, Transformer Acceleration, IO-Aware

Empower AI Innovation: On-Demand AI Data Center Access With Cisco SD-WAN
blogs.cisco.com·15h
🔗NCCL
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How neuroscientists are using AI
thetransmitter.org·23h
ONNX Runtime
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Why is AI Generated Rust slow when compared with Go/C#/Node/JavaScript
srid68.github.io·13h·
Discuss: Hacker News
✂️CUTLASS
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2 Artificial Intelligence (AI) Stocks to Buy With $500 and Hold for Decades
fool.com·3h
🤖AI Coding Tools
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Laravel AI Agent That Chats with Telex.im
dev.to·7h·
Discuss: DEV
🤖AI Coding Tools
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Efficient Test-Time Retrieval Augmented Generation
arxiv.org·23h
👁️Attention Optimization
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MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
arxiv.org·23h
📊Gradient Accumulation
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FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding
arxiv.org·23h
🧩Attention Kernels
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Why agents do not write most of our code – a reality check
octomind.dev·1d·
Discuss: Hacker News
🤖AI Coding Tools
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InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue
paperium.net·2d·
Discuss: DEV
🧩Attention Kernels
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Most Gen AI Players Remain 'Far Away' from Profiting: Interview with Andy Wu
library.hbs.edu·8h·
Discuss: Hacker News
ONNX Runtime
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·23h
📊Gradient Accumulation
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Olfactory spatial memory: a systematic review and meta-analysis
nature.com·1d
🧩Attention Kernels
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Lately, coding with Claude has been very smooth. I am able to complete experiments on time.
reddit.com·17h·
Discuss: r/ClaudeAI
🏎️TensorRT
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A filtering scheme for confocal laser endomicroscopy (CLE)-video sequences for self-supervised learning
arxiv.org·23h
🧮cuDNN
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Everything About Transformers
krupadave.com·5d
🧩Attention Kernels
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Reality check
dev.to·16h·
Discuss: DEV
🎓Model Distillation
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Legible vs. Illegible AI Safety Problems
lesswrong.com·6h
🤖AI Coding Tools
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From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
dev.to·1d·
Discuss: DEV
🧩Attention Kernels
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