Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

By turning a computation that once required weeks of supercomputer simulations into a calculation solvable in hours, the team has provided scientists with a powerful new lens to understand metallurgy, ...

The researchers extended existing theoretical models to account for quantum fluctuations and applied these models to flowing condensates, discovering stable density and velocity fluctuation patterns ...

Abstract: Tensor completion aims to recover original data from its degraded observations and has shown promise in processing incomplete hyperspectral images (HSIs). Many previous studies have ...

Abstract: Since 2017, NVIDIA GPUs have been equipped with specialized units known as Tensor Cores, which demonstrate remarkable efficiency in processing matrix multiplications (GEMMs). Beyond GEMMs, ...

Founded in 2019, this Spanish startup initially focused on the application of quantum computing software in the financial sector. Thanks to its expertise in quantum technology, it quickly gained ...

Qiskit addons are a collection of modular tools for building utility-scale workloads powered by Qiskit. This addon enables a Qiskit user to perform approximate quantum compilation using tensor ...

This Python script (UNetExtractor.py) processes SafeTensors files for Stable Diffusion 1.5 (SD 1.5), Stable Diffusion XL (SDXL), and FLUX models. It extracts the UNet into a separate file and creates ...

The story of Google’s Tensor chipsets has been one full of compromise and slow improvements over time, but Google says that the Pixel 10’s Tensor G5 is its “biggest leap in performance yet.” Now that ...

Tensor is the Pixel’s secret sauce, empowering the series with AI smarts you can’t find elsewhere and solid-enough performance and battery life to last the day. However, Google has been quieter than ...