Two-Parameter R\'enyi Information Quantities with Applications to Privacy Amplification and Soft Covering
arxiv.org·2d
🔐Privacy Engineering
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The Noise and the Signal
📡Signal Processing
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Multi-Sensor Distributed Hypothesis Testing in the Low-Power Regime
arxiv.org·3d
🌐Distributed Systems
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BIASNN: a biologically inspired attention mechanism in spiking neural networks for image classification
nature.com·2d
🏗️Hardware Architecture
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Image formats: Codecs and compression tools
developer.mozilla.org·2d
🗜️Archive Compression
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Taming Chaos: Predicting Unpredictable Systems Without Guesswork by Arvind Sundararajan
🎮Reinforcement Learning
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Entropy in algorithm analysis
11011110.github.io·5d
🔢NumPy
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Principles of Epistemology (2025, essay)
🔍AI Detection
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Performance Analysis of NOMA-Assisted Optical OFDM ISAC Systems with Clipping Distortion
arxiv.org·2d
💡Optical Computing
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Performance Analysis of Single-Antenna Fluid Antenna Systems via Extreme Value Theory
arxiv.org·2d
🐜Swarm Intelligence
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Prentice Hall Interview with Rich Stevens, Author of Unix Programming (1997)
🗜️Archive Compression
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Predicting & Mitigating Data Corruption in Pure Storage Flash Arrays via Adaptive Bit Error Rate Modeling
🕵️Memory Forensics
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Decoupled Entropy Minimization
arxiv.org·1d
🗂️HDF5
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Topographical sparse mapping: A training framework for deep learning models
🎮Reinforcement Learning
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We Didn’t Invent Attention — We Just Rediscovered It
towardsdatascience.com·1d
🐜Swarm Intelligence
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Variational Geometric Information Bottleneck: Learning the Shape of Understanding
arxiv.org·2d
🧭Vector Databases
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