This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

AI delivers value by transforming data into usable intelligence—supporting capabilities such as real-time analytics, anomaly detection, predictive maintenance, and automated decision-making. Meanwhile ...

In the education space, quantum computing could usher in an entirely new generation of customized AI tutoring, though it ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...

IonQ holds the world record for two-qubit gate fidelity at 99.99%. No other company has crossed the 99.9% two-qubit gate ...

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

HAMBURG, Germany, June 12, 2025 – As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent European scientist specializing in parallel ...

At the GTC 2025 conference, Nvidia announced its plans for a new, Boston-based Nvidia Accelerated Quantum Research Center or NVAQC, designed to integrate quantum hardware with AI supercomputers.

I'm working on running a large number of simulations in OpenFAST for different load cases(e.g., varying wind speeds, wave height, etc.). Does OpenFAST have built-in support for parallel execution (e.g ...

Until the late 1990s, the concept of a 3D accelerator card was something generally associated with high-end workstations. Video games and kin would run happily on the CPU in one’s desktop system, with ...