The Myth of RAM (2014)
ilikebigbits.com·6h·
Discuss: Hacker News
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Understanding AMD's FSR 4 Image Upscaler
woti.substack.com·5h·
Discuss: Substack, r/programming
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Turning motion into medicine: How AI, motion capture and wearables can improve your health
theconversation.com·11h
💻software
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“Reasoning with Sampling” — Notes on Karan & Du (2025)
kosti.bearblog.dev·1d
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Everything You Need to Know About LLM Evaluation Metrics
machinelearningmastery.com·14h
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Continuous Autoregressive Language Models
shaochenze.github.io·5d·
Discuss: Hacker News
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Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
dev.to·1d·
Discuss: DEV
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Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
dev.to·9h·
Discuss: DEV
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Evaluating LLMs' Reasoning Over Ordered Procedural Steps
arxiv.org·20h
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Neurosymbolic Deep Learning Semantics
arxiv.org·5d
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From JPMorgan's Trading Desk to Your GitHub: Building a Natural Gas Price Forecasting Engine
dev.to·1d·
Discuss: DEV
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FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting
arxiv.org·20h
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A Mandibular Defect Dataset for Autonomous Reconstruction Planning in Oral and Maxillofacial Surgery
nature.com·11h
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Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
paperium.net·23h·
Discuss: DEV
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Predicting Cognitive Assessment Scores in Older Adults with Cognitive Impairment Using Wearable Sensors
arxiv.org·20h
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I bet, AI will not be able to do this one thing for next 1000's of years.
dev.to·13h·
Discuss: DEV
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[D] Favorite Deep Learning Textbook for teaching undergrads?
reddit.com·4d·
Discuss: r/MachineLearning
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Building Scalable and Fault-Tolerant NCCL Applications
developer.nvidia.com·1d
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**Practical Tip: Fine-Tuning LLMs for Improved Generalizabil
dev.to·2d·
Discuss: DEV
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Predicting Pedestrian Intent with Spatiotemporal Graph Neural Networks for Enhanced AEB Systems
dev.to·1d·
Discuss: DEV
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