Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics

Dynestyx: A Probabilistic Programming Library for State-Space Models and Dynamical Systems

The article introduces dynestyx, a probabilistic programming library designed specifically for state-space models (SSMs) used in Bayesian an

Reflections on 2024 Bio-ML Predictions: Generative Chemistry and Molecular Dynamics Challenges

The article reflects on the author's 2024 predictions about bio-ML (biological machine learning) from a 2026 perspective, focusing on genera

Neural Particle Automata: Extending Self-Organizing Neural Networks to Particle Systems

This article introduces Neural Particle Automata (NPA), a novel framework that extends the concept of Neural Cellular Automata (NCA) from gr

He Jiankui PhD Thesis: Spontaneous Emergence of Hierarchy in Biological Systems

AI and Machine Learning Enable New Molecular-Level Maps of the Brain's Cellular Landscape

This article from Quanta Magazine explores how machine learning is revolutionizing neuroscience by helping researchers map the brain at the

Our paper on Denoising Thermodynamic Models is now published in Nature's npj Unconventional Computing. We demonstrate thermodynamic hardware built on the primitives validated in X0 could unlock genera

Our paper on Denoising Thermodynamic Models is now published in Nature's npj Unconventional Computing. We demonstrate thermodynamic hardware built on the primitives validated in X0 could unlock genera