Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data

Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data

Data Training sets PDBbind To train and validate our baseline AEV-PLIG model, and compare it to…

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Meta Speeds up AI Hiring While Cutting Thousands of ‘Low Performers’

Meta Speeds up AI Hiring While Cutting Thousands of ‘Low Performers’

An internal memo indicates Meta is ramping up its hiring of engineers as it cuts thousands…

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Data Roles, Small Language Models, Knowledge Graphs, and More: Our January Must-Reads

Data Roles, Small Language Models, Knowledge Graphs, and More: Our January Must-Reads

The Variable is moving soon—sign up here to ensure you receive all future newsletters. Our prolific…

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NLP Illustrated, Part 3: Word2Vec

NLP Illustrated, Part 3: Word2Vec

Welcome to Part 3 of our illustrated journey through the exciting world of Natural Language Processing!…

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The Three Phases of Learning Machine Learning

The Three Phases of Learning Machine Learning

After 6+ years of experience with machine learning, both in research and industry, it’s very interesting…

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Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials

Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials

Baseline data assessment The foundation of this study is anchored on a rigorously curated dataset, meticulously…

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