Adaptive method helps light-based quantum processors act more like neural networks

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Nature

This AI combo could unlock human-level intelligence

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
IEEE

GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds

Abstract: Vehicular Clouds (VCs) are modern platforms for processing of computation-intensive tasks over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) consisting of ...
Tech Xplore

A brain-like chip interprets neural network connectivity in real time

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...
IEEE

A Comparison Between the Quality of Two Level and Three Levels Bidirectional Buck-Boost Converter Using the Neural Network Controller

Abstract: A comparison between two-phase and three-phase interlaced DC converter with parallel MOSFET is presented. PWM is evaluated using a two-way DC-DC converter to charge and discharge a battery.