Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

Grounded in problem-based learning and with respect to four mathematics domains (arithmetic, random events and counting, number theory, and geometry), we designed a series of programming-based ...

Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...

The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...

Ilya Volkovich is an Assistant Professor of Computer Science at Boston College. Before joining Boston College he taught courses in the theory of computation at the University of Michigan and Princeton ...

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...