It is now widely understood that cancer is a disease of acquired defects in genes and gene function. An article published Feb. 9 in Science, and authored by Andrew Feinberg, M.D., of the Johns Hopkins Kimmel Cancer Center and the Institute for Basic Biomedical Sciences (IBBS) and Andre Levchenko, Sc.D., M.S., of the Yale School of Engineering and Applied Science, addresses new quantitative approaches to better define and measure these defects in gene function, known as epigenetics, and their interplay with the genetic landscape of cancer.
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A deep reinforcement learning model that allows AI agents to track odor plumes
For a long time, scientists and engineers have drawn inspiration from the amazing abilities of animals and have sought to reverse engineer or reproduce these in robots and artificial intelligence (AI) agents. One of these behaviors is odor plume tracking, which is the ability of some animals, particularly insects, to home in on the source of specific odors of interest (e.g., food or mates), often over long distances.
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