A new AI for Biological Discovery Seminar Series, presented by the Francis Crick Institute.

Our clinical training pathway integrating AI and machine learning with discovery research.

Scientific discovery seeks mechanisms that explain observations and predict beyond the measurements that produced them. Whereas large language models (LLMs) encode knowledge implicitly, mechanistic wo...

Purpose: Assessing grant applications is time-consuming and difficult, adding to the overall burden of academic peer review. Whilst funders are exploring whether AI can help, there is no published res...

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We present an alignment assessment of four incidents in which Claude models gained unauthorized access to real third-party systems.

Small gene regulatory circuits can encode a surprising diversity of dynamical behaviors. A biophysical model of the AC-DC motif reveals over thirty distinct bifurcation structures and shows how molecu...

Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.

A prospective, blinded competition is conducted for artificial-intelligence-generated and optimized antibody discovery.

Salary for this Role: From £47,500, with benefits, subject to skills and experience. Job Title: Postdoctoral Fellow - Frohlich Lab Reports to: Fabian Frohlich Closing Date: 24/Sept/2026 23.59 GMT Job ...

A new AI for Biological Discovery Seminar Series, presented by the Francis Crick Institute.

A walk through a modern apartment, through the eyes of the people for whom everything in it was new.

Neural ordinary differential equations (NODEs) and universal differential equations (UDEs) provide flexible and popular frameworks for learning interpretable dynamical systems from noisy time-series d...

A report on a series of mini machine learning projects, executed with, and mostly by, Claude

Protein sequences are constrained not only by the need to fold into stable structures, but also by specific functional requirements imposed by natural selection. Yet predictions of how amino-acid chan...

Cells sense and respond to their environment through signalling pathways, and the dynamics of these pathways shape cell fate even within genetically identical populations. Two largely separate computa...