A study published today in the journal Cell marks the first reported instance of generative AI designing synthetic molecules that can successfully control gene expression in healthy mammalian cells. As a proof-of-concept, the authors of the study asked the AI to design synthetic fragments which activate a gene coding for a fluorescent protein in some cells while leaving gene expression patterns unaltered. They created the fragments from scratch and dropped them into mouse blood cells, where the sequence fused with the genome at random locations. The experiments worked exactly as predicted and pave the way for new strategies to give instructions to a cell and guide how they develop and behave with unprecedented accuracy.

Researchers from Shanghai Institute of Applied Physics and Shanghai Advanced Research Institute utilized Bayesian neural networks (BNN) to achieve highly reliable fitting of photonuclear (γ,n) reaction cross-sections, significantly improving prediction accuracy and generalization capabilities. This advancement enhances the efficiency of experimental data usage and paves the way for future progress in nuclear astrophysics and radiation detection technologies.Researchers from Shanghai Institute of Applied Physics and Shanghai Advanced Research Institute utilized Bayesian neural networks (BNN) to achieve highly reliable fitting of photonuclear (γ,n) reaction cross-sections, significantly improving prediction accuracy and generalization capabilities. This advancement enhances the efficiency of experimental data usage and paves the way for future progress in nuclear astrophysics and radiation detection technologies.

What makes people think an AI system is creative? New research shows that it depends on how much they see of the creative act. The findings have implications for how we research and design creative AI systems, and they also raise fundamental questions about how we perceive creativity in other people.

An edible robot made by EPFL scientists leverages a combination of biodegradable fuel and surface tension to zip around the water’s surface, creating a safe – and nutritious – alternative to environmental monitoring devices made from artificial polymers and electronics.