Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...
Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...
Francis Duah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
In Huntington’s small community, tucked in a corner classroom of Smith Hall sits a unique piece of math history. Marshall University is home to the only publicly accessible differential analyzer ...
Setting aside time in the school day to teach students social-emotional skills, such as emotional regulation and perspective-taking, can substantially boost students’ grade-point averages and ...
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