Abstract: Hyperspectral target detection technology is becoming more and more important in remote sensing. Most of the traditional methods of target sensing using spectral information treat ...

This week at the AI Infra Summit, the RISC-V chip designer revealed its second generation of Intelligence cores, including ...

AI chip startup d-Matrix is pushing into rack scale with the introduction of its JetStream I/O cards, which are designed to ...

Tech giants such as Meta, Microsoft, and Apple have launched a series of small models, including Llama-3, Phi-3, and OpenELM, attracting widespread attention due to their compact size and efficient ...

preprocessing this tensor to obtain the alignment matrix Dalign; subsequently, constructing a mixed-integer programming model and solving for the static optimal scheduling matrix; finally, using a ...

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 ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are they so important? In this video, we break down the concept of tensors in ...

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 ...

The Pixel 10 lineup may not turn heads with its familiar design, but under the hood, it delivers major upgrades—more powerful performance, enhanced cameras, and cutting-edge AI—all at the same price ...

Abstract: Tensor networks are a popular and computationally efficient approach to simulate general quantum systems on classical computers and, in a broader sense, a framework for dealing with ...