MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...

Recursion, Roche, and its Genentech subsidiary have unveiled the latest product of their nearly four-year artificial intelligence (AI) drug discovery collaboration, a whole-genome map of specialized ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Recursion's AI-enabled drug discovery platform continues to evolve, but this is yet to translate into meaningful clinical success. The recent cull of programs has further undermined investor ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Light-based computing uses photons to carry information in much the same way as electrons do in conventional computers. Computations such as addition and subtraction can then be performed by combining ...

Large language models such as ChaptGPT have proven to be able to produce remarkably intelligent results, but the energy and monetary costs associated with running these massive algorithms is sky high.