Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for ...

Overview: Data science certifications help build practical skills needed across industries in 2026.Courses now focus more on real projects and workplace-ready l ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

pyQBTNs is a Python library for boolean matrix and tensor factorization using D-Wave quantum annealers. The library includes five different boolean tensor decomposition methods making up three ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...

Discover the best Lenovo LOQ laptop models designed for engineering students. Featuring powerful Intel HX/AMD Ryzen processors and NVIDIA RTX graphics, these machines handle intensive tasks like CAD, ...

Google aims to remove a significant obstacle that has limited the broader adoption of its chips by outside developers.

Python library for differentiable linear algebra with block-sparse tensors, supporting abelian symmetries. It supports a range of Projected Entangled Pair States (PEPS) and Matrix Product States (MPS) ...

Abstract: The increase in electric power demand pushes the modern power system for more interconnected networks. It leads to a lack of inertia and creates more critical disturbances in the power ...

Abstract: We present the NVIDIA cuQuantum SDK [1], a state-of-the-art library of composable primitives for GPU-accelerated quantum circuit simulations. As the size of quantum devices continues to ...