Science & Technology

A deep neural network model proposed by a faculty member at the McKelvey School of Engineering has been shown to boost the effectiveness of average and below average major league pitchers.

In his new book, alumnus Paul Scharre discusses what’s at stake for global security and human freedom, as well as how the U.S. can maintain a leadership position amidst game-changing technology.

As a biology faculty member, Professor Emerita Ursula Goodenough invited non-science majors to understand and reflect on the history of life on Earth. The second edition of her book, The Sacred Depths of Nature: How Life Has Emerged and Evolved, brings the wondrous saga to a new audience.

The legacy of Train, a retriever who assisted in conservation research, continues with a new study and a statue in Argentina.

In a study published in Medical Physics, researchers in the lab of Abhinav Jha at the McKelvey School of Engineering evaluated artificial intelligence techniques for cleaning up medical images based on performance in clinical tasks.

As reported in a paper in Nature Communications, physicist Chong Zu in Arts & Sciences and his team are finding new ways to harness the quantum power of defects in otherwise flawless crystals. 

Ecologist Solny Adalsteinsson, at the Tyson Research Center, and virologist Jacco Boon, at the School of Medicine, are part of a One Health team studying how tick-borne Bourbon virus spreads through the environment, wildlife and people.

With funding from the National Science Foundation, William Yeoh at the McKelvey School of Engineering will use artificial intelligence to develop a fair, equitable and efficient scheduling system for courts.

A team from the McKelvey School of Engineering at Washington University in St. Louis and Massachusetts Institute of Technology has created an acoustic microfluidic method that offers new opportunities to conduct experiments with swimming cells and microorganisms.

Researchers in Randall Martin’s lab at the McKelvey School of Engineering won a $500,000 grant from the National Science Foundation to study, and improve, the accuracy and resolution of models used to understand chemicals’ behavior in the atmosphere.