Nature

China is betting on ‘optical’ computer chips – will they power AI?

Semiconductor chips that process light rather than electricity could boost processing speeds and reduce energy use.

New light-based platform sets the stage for future quantum supercomputers

A light has emerged at the end of the tunnel in the long pursuit of developing quantum computers, which are expected to ...
InfoWorld

CPython vs. PyPy: Which Python runtime has the better JIT?

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.
GitHub

Can Large Language Models Predict Parallel Code Performance?

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 ...
GitHub

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves

Offical implementation of the paper Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves. Abstract Prompt tuning (PT) has long been recognized as an ...
IEEE

Python-Integrated Quantum–Classical Computing Framework for Intelligent Time-Series Prediction

Abstract: Hybrid quantum–classical computing has become an attractive strategy for improving learning capability and predictive capacity in complex data environments. This work presents a ...
Hosted on MSN

Visualizing the magnetic field of parallel wires using Python

Visualize the magnetic field of parallel current-carrying wires using Python. This short shows how to model and plot the field pattern, explore direction and strength, and build intuition for ...
IEEE

Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing

Abstract: In recent years, perceiving the environment has been the most important part of unmanned aerial vehicles (UAVs) inspection tasks on the battlefield scene. This article aims to study how to ...