Thoughts on "Static Retrival Revisited"
curiouscoding.nl·1d
#️⃣Hash Tables
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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
clarvo.ai·4h
🧮Vector Databases
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Dive into Systems
diveintosystems.org·1d·
Discuss: Hacker News
⚙️Systems Programming
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Neural Green's Functions
arxiv.org·8h
🎯Reinforcement Learning
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Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
arxiv.org·8h
🔢NumPy
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·2d·
Discuss: Substack
📱Edge AI
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NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis
towardsdatascience.com·17h
🔢NumPy
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An Illustrated Introduction to Linear Algebra, Chapter 2
ducktyped.org·2d·
Discuss: Hacker News
🧮Algebraic Effects
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Energy Loss Functions for Physical Systems
arxiv.org·8h
🔢Homomorphic Encryption
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·2d·
Discuss: r/LLM
💬Prompt Engineering
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Continuous Autoregressive Language Models
shaochenze.github.io·10h·
Discuss: Hacker News
📱Edge AI
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
dev.to·1d·
Discuss: DEV
🔢NumPy
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Tetrahedral analog of the Pythagorean theorem
johndcook.com·1d·
Discuss: Hacker News
📐Computational Geometry
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Best Digital Marketing Institute in Allahabad – Ndmit Prayagraj
ndmit.com·3d·
Discuss: Hacker News
📊Data Science
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How Transformer Models Detect Anomalies in System Logs
hackernoon.com·1d
🔍eBPF
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Language-Enhanced Generative Modeling for PET Synthesis from MRI and Blood Biomarkers
arxiv.org·8h
🔥PyTorch
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Real-time stock volatility prediction with deep learning on a time-series DB
medium.com·1d·
Discuss: Hacker News
💰TigerBeetle
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
jstrieb.github.io·3h·
Discuss: Hacker News
🔓Binary Exploitation
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MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
arxiv.org·1d
🕸️GraphBLAS
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·1d
🧮Embeddings
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