Spectral rendering, part 1: Spectra
momentsingraphics.deยท1dยท
๐Ÿ”„ONNX
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Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
netflixtechblog.medium.comยท15hยท
Discuss: Hacker News
โฑ๏ธCUDA Events
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Supercharging Real-Time Applications with TiDB and DragonflyDB
pingcap.comยท15h
๐Ÿ“ŠProfiling Tools
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SearchResearch (11/5/25): Pro tips on using AI for deep research
searchresearch1.blogspot.comยท13hยท
๐Ÿค–AI Coding Tools
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Why Multimodal AI Broke the Data Pipeline โ€” And How Daft Is Beating Ray and Spark to Fix It
hackernoon.comยท5d
๐ŸงฎcuDNN
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Context Engineering 2.0: The Context of Context Engineering
arxiviq.substack.comยท1dยท
Discuss: Substack
๐Ÿค–AI Coding Tools
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NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis
towardsdatascience.comยท3d
๐Ÿ”Nsight
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ArahiAI โ€“ A no-code platform for building AI agents that take real actions
news.ycombinator.comยท3hยท
Discuss: Hacker News
๐Ÿค–AI Coding Tools
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How Large Language Models Learn to Reason: The Ultimate 2025 Guide with Real-World Examples andโ€ฆ
pub.towardsai.netยท2d
๐Ÿค–AI Coding Tools
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Unlocking Simplicity: Skeletonizing Boolean Networks for Enhanced Performance by Arvind Sundararajan
dev.toยท2dยท
Discuss: DEV
๐ŸŽ“Model Distillation
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Quantifying Uncertainty in Multi-Agent Reinforcement Learning via Spectral Decomposition
dev.toยท1dยท
Discuss: DEV
๐ŸŽ“Model Distillation
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Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
arxiv.orgยท2d
๐Ÿ“ŠGradient Accumulation
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Simple 3D Pose Features Support Human and Machine Social Scene Understanding
arxiv.orgยท1d
๐ŸงฉAttention Kernels
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Approximating Young Measures With Deep Neural Networks
arxiv.orgยท4d
๐Ÿ“‰Model Quantization
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Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
arxiv.orgยท2d
๐Ÿ“‰Model Quantization
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Googleโ€™s Ironwood TPUs represent a bigger threat than Nvidia would have you believe
theregister.comยท1d
๐ŸŽฏGPU Kernels
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Reversal Invariance in Autoregressive Language Models
arxiv.orgยท4d
๐Ÿ› Ml-eng
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Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
arxiv.orgยท3d
๐Ÿ”—Kernel Fusion
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