Computer scientists have discovered a new way to multiply large matrices faster by eliminating a previously unknown inefficiency, leading to the largest improvement in matrix multiplication efficiency ...

Performing math on multidimensional arrays very efficiently. For example, the Strassen algorithm uses fast matrix math on large matrices. See multidimensional array. THIS DEFINITION IS FOR PERSONAL ...

This is a preview. Log in through your library . Abstract We present a new complexity result on solving the Markov decision problem (MDP) with n states and a number of actions for each state, a ...

Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data ...

SIAM Journal on Numerical Analysis, Vol. 43, No. 6 (2006), pp. 2251-2271 (21 pages) Matrix compression techniques in the context of wavelet Galerkin schemes for boundary integral equations are ...

Current custom AI hardware devices are built around super-efficient, high performance matrix multiplication. This category of accelerators includes the host of AI chip startups and defines what more ...

The challenge of speeding up AI systems typically means adding more processing elements and pruning the algorithms, but those approaches aren’t the only path forward. Almost all commercial machine ...

Elon Musk is back on Twitter, and he is talking about a lot of random things, but it also included something about the upcoming release of the Tesla FSD Beta version 10.13, which would be the latest ...