Linear complementarity problems (LCPs) constitute a salient class of mathematical models wherein one seeks vectors that fulfil mutually exclusive non-negativity and orthogonality conditions relative ...

AI training time is at a point in an exponential where more throughput isn't going to advance functionality much at all. The underlying problem, problem solving by training, is computationally ...

Gergonne’s pile problem, goes by numerous names and variations. In this article, we described how this problem, in the guise of a well-known card trick, can be explained and reproduced by a simple ...

Over the last few years the idea of “conditional computation” has been key to making neural network processing more efficient, even though much of the hardware ecosystem has focused on general purpose ...

Throughout the many different types of system architecture in the past six decades, one thing has always remained true: Hardware always gets ahead of software, and rather than be too annoyed about it, ...

Last year, onlookers observed a startling site on China’s Qiantang River: waves forming a grid-like pattern. Dubbed the “matrix tide,” this complex wave pattern was caused by the river’s famed tidal ...

The two problems, known as Bauer's Height Zero Conjecture and a longstanding issue in the Deligne-Lusztig theory, date back to 1955 and 1976, respectively. Their solutions have been published in two ...

AI models solved math problems by processing them using natural language AI could soon tackle unsolved research problems, says math professor and former champion OpenAI self-published results before ...