A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...

Surabhi Bhargava became a machine learning tech lead at Adobe in five years, thanks to two key strategies.

The tool analyzes results from standard tests of organ function, tumor burden, and inflammation to predict whether lymphoma patients will respond to treatment.

An adjustment usually made between starts Pallante made midgame and results followed in a 4-1 loss to the Mets. Next challenge: Adjust in mid-inning.

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

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Today’s technology however can greatly accelerate our learning curve. Perhaps the most accessible resource is the free Merlin app from the Cornell Lab of Ornithology, which is close by in Ithaca ...