AI infrastructure startup Tensordyne has taped out its first commercial accelerator, with fabrication on TSMC's 3nm process ...

Sparse Matrix-Vector Multiplication (SpMV) is important in scientific and industrial applications and remains a well-known challenge for modern CPUs due to high ...

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

Abstract: Large-scale matrix multiplication is a computational bottleneck in various applications including artificial intelligence and machine learning. Given the time complexity of O(n 3) for matrix ...

D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...

We might believe we are in control of what we choose to eat, but our senses are constantly manipulating what we buy and how much we consume. Here's how to turn them to your advantage. You might not ...

LAS VEGAS -- It was 370 seconds of domination unlike any other seen before in a Stanley Cup Final, courtesy of Mitch Marner. The Vegas Golden Knights forward scored the fastest hat trick in Cup Final ...