Experts who are looking at the changing and evolving designs of neural nets are expressing interest in the idea of “higher-order attention mechanisms” to replace what has been used in AI transformers ...

In our Geekbench CPU test, the Tensor G4 didn't perform well and it trailed behind last year's Tensor G3 in multi-core tasks. The 7-core ARM Mali-G715 GPU performance is nearly the same as last year, ...

Abstract: Modern artificial intelligence (AI) workloads require architectures capable of efficiently managing diverse tensor contraction patterns. Traditional approaches based on fixed-size matrix ...

Recently, researchers have achieved a groundbreaking milestone in quantum computing by successfully simulating Google’s 53-qubit, 20-layer Sycamore quantum circuit. This accomplishment was made ...

Abstract: We investigate the performance of algorithms for sparse tensor-sparse tensor multiplication (SpGETT). This operation, also called sparse tensor contraction, is a higher order analogue of the ...

The algorithm “automated compression of environments” (ACE) [M. Cygorek , Nat. Phys. 18, 662 (2022)] provides a versatile way of simulating an extremely broad class of open quantum systems. This is ...

ABSTRACT: In the second paper on the inverse relativity model, we explained in the first paper [1] that analyzing the four-dimensional displacement vector on space-time according to a certain approach ...

Furiosa successfully completed the full bring-up of RNGD after receiving the first silicon samples from their partner, TSMC. This achievement reinforces the company's track record of fast and seamless ...

ABSTRACT: Analysis of a four-dimensional displacement vector on the fabric of space-time in the special or general case into two Four-dimensional vectors, according to specific conditions leads to the ...