Catherine Dong is a summer associate at Bloomberg Beta and will be working at Facebook as a machine learning engineer. They’re pouring resources and attention into convincing the world that the ...

Directed evolution (DE) is a powerful tool to optimize protein fitness for a specific application. However, DE can be inefficient when mutations exhibit non-additive, or epistatic, behavior. Here, we ...

A research team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley. The study, published in Physics Letters B and conducted ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

July 21 (UPI) --Scripps Research said Friday its scientists have developed a machine-learning system that could help track the evolution of epidemic viruses and predict the emergence of variants. The ...

Directed Evolution (DE) is a method developed by Nobel laureate Frances Arnold to improve protein fitness for specific applications. However, DE can be less efficient when mutations show epistatic ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...