Bacteria could learn to predict the future

Bacteria could learn to predict the future

Using computer simulations and a simple theoretical model, physicist Mikhail Tikhonov in Arts & Sciences showed how bacteria could adapt to a fluctuating environment by learning its statistical regularities — for example, which nutrients tend to be correlated — and do so faster than evolutionary trial-and-error would normally allow.
NIH awards nearly $2M to Huebsch for study

NIH awards nearly $2M to Huebsch for study

The McKelvey School of Engineering’s Nathaniel Huebsch will use a nearly $2 million grant from the National Institutes of Health (NIH) to study hypertrophic cardiomyopathy, the most common cause of sudden death in young people.
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