TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and ...

ABSTRACT: It is known that the cosmological constant can be dynamically tuned to an arbitrary small value in classes of scalar tensor theories. The trouble with such schemes is that effective gravity ...

Left: Artistic impression of metal spheres buried in small glass beads. Middle: Conventional ultrasound picture. Right: With the new technology, the positions of the metal spheres can be precisely ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Further expanding SiFive’s lead in RISC-V AI IP, the company today launched its 2nd Generation Intelligence™ family, featuring five new RISC-V-based products ...

Scalar tensors are defined with the tablegen definition Tosa_ScalarTensor. This issue would require updating this definition to allow a scalar tensor to either be ranked or unranked. A similar pull ...

The 16-part course, currently in its pilot phase, is catered to high school students but available to anyone interested in learning about the fundamental questions in particle physics. Jeff Wiener ...

There are a number of operators, such as transpose() and reshape() which are no-ops when applied to a scalar tensor. In addition there are operators like gather() which expect indices but a scalar ...

Graphic processing units (GPUs) and tensor processing units (TPUs) are specialized ICs that support different types of artificial intelligence (AI) and machine learning (ML) algorithms. This article ...