The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

3.1 Overview of GLNet. Inspired by the global learning strategies of FPGA [50] and SSDGL [51], we propose a novel GLNet for high-dimensional image classification, as shown in Figure 1, which utilizes ...

These are not just research projects—they are powering live services. In computer vision, Google’s V-MoE architecture has improved classification accuracy on benchmarks like ImageNet, and the LIMoE ...

This project presents a convolutional neural network (CNN) to classify MRI images of brain tumors into one of three categories. The model was trained using a custom-labeled dataset containing over ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...