TIL that all the world’s data could theoretically fit inside a shoebox, because 1 gram of DNA can store about 455 billion gigabytes of information
ℹ️Information Theory
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Limitations of a two-pass assembler
boston.conman.org·1d
🥶Cold Start Problem
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Mathematics solves problems by pen and paper. CS helps us to go far beyond that
🤝Consensus Protocols
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Beating XLoader at Speed: Generative AI as a Force Multiplier for Reverse Engineering
research.checkpoint.com·2d
🚀Indie Hacking
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10 Smart Performance Hacks For Faster Python Code
blog.jetbrains.com·8h
🥶Cold Start Problem
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Attention ISN'T all you need?! New Qwen3 variant Brumby-14B-Base leverages Power Retention technique
venturebeat.com·23h
🔁Spaced Repetition
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Matrix Phylogeny: Compact Spectral Fingerprints for Trap-Robust Preconditioner Selection
arxiv.org·1d
🎯Recommendation Algorithms
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Feature Importance Guided Random Forest Learning with Simulated Annealing Based Hyperparameter Tuning
arxiv.org·1d
🤖Machine Learning
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Going From Reactive to Predictive Incident Response with AIOps
hackernoon.com·21h
👷Worker Self-Management
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A novel multi-source sensor correlation adaptive fusion framework with uncertainty quantification for intelligent fault diagnosis
sciencedirect.com·3h
📊Shannon Entropy
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Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
arxiv.org·1d
🤖Machine Learning
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Gaining Momentum: Uncovering Hidden Scoring Dynamics in Hockey through Deep Neural Sequencing and Causal Modeling
arxiv.org·1d
🔃Feed Algorithms
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When One Modality Sabotages the Others: A Diagnostic Lens on Multimodal Reasoning
arxiv.org·14h
📊Bayesian Inference
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·2d
📊Bayesian Inference
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AI-Driven Microfluidic Design Optimization via Hyperdimensional Feature Mapping & Reinforcement Learning
🌀Complexity Science
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Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·1d
📊Bayesian Inference
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