In a new UCLA-led study, investigators shed light on the intricate processes underlying cancer evolution and define the optimal algorithms to analyze the genetic makeup of tumors. Understanding the ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

PITTSBURGH—A new algorithm developed by Carnegie Mellon University computer scientists has revealed for the first time how genetic networks in the fruit fly, Drosophila melanogaster, evolve during the ...