Modeling and Measuring the Genetic Determinants of Child Development
nber.org·1d·
Discuss: Hacker News
🔥ComplexHeatmap
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Adorable Adventures Demo Impressions
ladiesgamers.com·2h
🗂️AnnData
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Election Expert Unpacks The Keys To GOP Success In NJ, Virginia – With One Big Unknown
dailywire.com·23h
⛰️Gradient Descent
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Misclassification in memory modification in <i>App<sup>NL-G-F</sup></i> knock-in mouse model of Alzheimer’s disease
elifesciences.org·1d
🦠Whole cell model
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Embedding Atlas: Low-Friction, Interactive Embedding Visualization
machinelearning.apple.com·2d
🗺️UMAP
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Why is AI Generated Rust slow when compared with Go/C#/Node/JavaScript
srid68.github.io·16h·
Discuss: Hacker News
📄FASTQ
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Dynamic Estimates of Displacement in Disaster Regions: A Policy-driven framework triangulating data
arxiv.org·2h
📐Computational Geometry
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We wanted a College Football Playoff so badly. The regular season is still more compelling
nytimes.com·20h
Polyadenylation
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Title cannot be empty
reddit.com·1d·
Discuss: r/APEXracers
Polyadenylation
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💱 Automate Currency Conversion in Joget Using JavaScript and External API
dev.to·1d·
Discuss: DEV
📊R
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Probabilistic Robustness for Free? Revisiting Training via a Benchmark
arxiv.org·1d
⛰️Gradient Descent
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When numbers lie: the Java equality bug every dev hits at least once
dev.to·5h·
Discuss: DEV
🦆DuckDB
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Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis
arxiv.org·1d
⛰️Gradient Descent
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When Assurance Undermines Intelligence: The Efficiency Costs of Data Governance in AI-Enabled Labor Markets
arxiv.org·2h
📦Pseudobulk
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BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
arxiv.org·2h
🗺️UMAP
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KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation
arxiv.org·2h
🔢Embeddings
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Implementing JWT Authentication in Rust using Axum
dev.to·22h·
Discuss: DEV
🦆DuckDB
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Rust Testing Framework: Build Reliable Code with Built-In Unit and Integration Tests
dev.to·12h·
Discuss: DEV
📄FASTQ
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Reversal Invariance in Autoregressive Language Models
arxiv.org·1d
⛰️Gradient Descent
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Deep Learning Approach to Anomaly Detection in Enterprise ETL Processes with Autoencoders
arxiv.org·1d
⛰️Gradient Descent
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