Deep Learning, Neural Networks, Model Training, GPU Computing

Generalizing Test-Time Compute-Optimal Scaling as an Optimizable Graph
huggingface.co·2d·
Discuss: Hacker News
🤗Hugging Face
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Show HN: Lanturn – A smart headlamp running voice+vision on ESP32
github.com·1h·
Discuss: Hacker News
🤗Hugging Face
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Automated Cognitive Load Assessment via Dynamic Eye-Tracking & Predictive Modeling
dev.to·3h·
Discuss: DEV
🧠deep learning
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Unlock Dual Revenue: How to Monetize Your LLM Apps with AI Conversations
dev.to·7h·
Discuss: DEV
🧠deep learning
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Deep Koopman Economic Model Predictive Control of a Pasteurisation Unit
arxiv.org·11h
🧠deep learning
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Symmetry as a Superpower
dev.to·1d·
Discuss: DEV
🧠deep learning
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Neuromorphic Intelligence Promises a New Era of Brain-Like Sustainable AI
dailyneuron.com·3h·
Discuss: Hacker News
🧠deep learning
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REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
arxiv.org·11h
🧠deep learning
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·1d·
Discuss: Hacker News
🤖llm
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Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
arxiv.org·11h
📊data science
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Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
arxiv.org·1d
🧠deep learning
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Deep learning models simultaneously trained on multiple datasets improve base-editing activity prediction
nature.com·5h
🧠deep learning
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A Short History of Generative AI
pub.towardsai.net·2h
🧠deep learning
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Spiking Neural Networks: The Next Leap in AI Power Efficiency by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🧠deep learning
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**Unveiling the Future of Distributed Training: 'Split Learn
dev.to·1d·
Discuss: DEV
🧠deep learning
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