New research is significantly revising a widely cited evolutionary model, the Inhibitory Cascade Mode (ICM). Benjamin Auerbach, professor in the Department of Ecology and Evolutionary Biology at the ...
Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more A new technique developed by much-hyped ...
Sakana AI, an artificial intelligence startup based in Tokyo that takes inspiration from nature, today announced a new method for creating generative AI models using what the company says is similar ...
Understanding the mutation and evolution of viruses (such as SARS-CoV-2) is crucial for effective public health management and response. Traditional epidemiological models often assume that viral ...
Missense variants remain a challenge in genetic interpretation due to their subtle and context-dependent effects. While current prediction models perform well in known disease genes, generalizability ...
Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling ...
In a recent study published in Nature Genetics, a group of researchers advanced variant effect prediction across the human proteome by integrating deep evolutionary signals with human population ...
As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...