Machine learning accelerates plasma mirror design for high-power lasers

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...

AI streamlines deluge of data from particle collisions

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...
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 ...

Big Tech is finally on trial for how it built its algorithms

The plaintiff, a 19-year-old Californian known by her initials, K.G.M., claims that years of using Instagram, TikTok, YouTube ...
IEEE

Design of a Novel Active Gate Drive Circuit to Enhance Current Sharing in Parallel-Connected MOSFETs for Low-Voltage Inverter Applications

Abstract: Low-voltage systems offer advantages in terms of safety, cost-effectiveness, and ease of integration, making them a preferred choice for e-scooters, light electric vehicles (LEVs), and ...
IEEE

A Direct Vehicle Tracking Algorithm Based on Adaptive Parallel Factor Decomposition

Abstract: Vehicle positioning and tracking play an essential role in intelligent transportation systems, especially under the growing demands of autonomous driving, traffic management, and path ...
Frontiers

Research on motion control of a novel stroke rehabilitation robot based on the dual parallel washout algorithm

A motion control strategy based on multi-source heterogeneous motion information fusion and motion decoupling parallel washout algorithm (WA) is proposed for the control of a rehabilitation robot ...