New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to ...

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Turing machines were first proposed by British mathematician Alan Turing in 1936, and are a theoretical mathematical model of what it means for a system to "be a computer." At a high level, these ...

Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models. During a chemical reaction, molecules gain energy until they ...

(THE CONVERSATION) Nicknamed “Galloping Gertie” for its tendency to bend and undulate, the Tacoma Narrows Bridge had just opened to traffic on July 1, 1940. In a now infamous failure, in the face of ...

Consciousness may emerge not from code, but from the way living brains physically compute.

This page outlines the 2022-23 degree requirements for Computational Biology. This page is not an official list of degree requirements. Adjustments may be required due to curriculum changes. Current ...