Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

Mike Kenny didn’t intend to create an educational web app — he was just looking for a way to help students master their multiplication tables. In 2013, as a graduate student in the Vermont Mathematics ...

2. mul(x: slangpy.math.float2x2, y: slangpy.math.float2) -> slangpy.math.float2 3. mul(x: slangpy.math.float2, y: slangpy.math.float2x2) -> slangpy.math.float2 4. mul ...

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 ...

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 ...

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 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...