Our latest commitments in AI and learning
blog.google·1d
🤖AI
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So-called reasoning models are more efficient but not more capable than regular LLMs, study finds
the-decoder.com·15h
🤖AI
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Ben Eater Tunes Up a SID Chip
hackster.io·21h
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Benedict's Newsletter: No. 618
kill-the-newsletter.com·19h
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Accelerated Reliability Prediction via Bayesian Network Ensemble and Accelerated Lifecycle Testing (BN-ALT)
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Dynamically Optimized Adsorption Cycle Control via Hybrid Reinforcement Learning for Enhanced Cooling Performance
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Symbol Detection in Multi-channel Multi-tag Ambient Backscatter Communication Under IQ Imbalance
arxiv.org·6h
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A General Probability Density Framework for Local Histopolation and Weighted Function Reconstruction from Mesh Line Integrals
arxiv.org·1d
🤖AI
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MT-HuBERT: Self-Supervised Mix-Training for Few-Shot Keyword Spotting in Mixed Speech
arxiv.org·1d
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Relation as a Prior: A Novel Paradigm for LLM-based Document-level Relation Extraction
arxiv.org·6h
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The Indie Path
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Attention and Compression is all you need for Controllably Efficient Language Models
arxiv.org·2d
🤖AI
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From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
arxiv.org·6h
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