A cartoon blue man, representing sparse autoencoders and the AI tools that work with them, untangles black jumbled thread, representing the convoluted and densely packed information in the neural networks of protein language models (PLMs).
| 5 min read
By spreading out tightly packed information in neural networks, a new set of tools could make AI protein models easier to understand. 

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Study: Ebola Predictions Overstated

Minimal Toolkit for Stem Cell Self-Renewal

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Cities Affect Global Weather Currents

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Battle of the Sexes

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How a Forensic Biologist Exposed a DNA Lab Scandal That Shook Australia

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Universe 25 Experiment

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One Gene Influences 75 Percent of Alzheimer’s Disease Cases

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Postdoc Portrait: Rohita Roy

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From Data to Discovery: Omics in Therapeutic Innovation

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Exploring Organoids for Disease Modeling Research

February 2026

A Stubborn Gene, a Failed Experiment, and a New Path

When experiments refuse to cooperate, you try again and again. For Rafael Najmanovich, the setbacks ultimately pushed him in a new direction.

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Human-Relevant In Vitro Models Enable Predictive Drug Discovery

Advancing Drug Discovery with Complex Human In Vitro Models

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Redefining Immunology Through Advanced Technologies

Ensuring Regulatory Compliance in AAV Manufacturing with Analytical Ultracentrifugation

Ensuring Regulatory Compliance in AAV Manufacturing with Analytical Ultracentrifugation

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Maximizing Cancer Research Model Systems

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Sino Biological Expands Research Reagent Portfolio to Support Global Nipah Virus Vaccine and Diagnostic Development

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Beckman Coulter Life Sciences Partners with Automata to Accelerate AI-Ready Laboratory Automation

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Refeyn named in the Sunday Times 100 Tech list of the UK’s fastest-growing technology companies