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 ...
Analytics Insight

Top Free Must-Read Books Every AI Engineer Should Download Today

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...
IEEE

A Novel Applicable Shadow Resistant Neural Network Model for High-Efficiency Grid-Level Pavement Crack Detection

Abstract: To address two key challenges—limited grid-level detection capability and difficulty in detecting pavement cracks in complex environments, this study proposes a novel neural network model ...
Nature

‘Godfather of AI’ becomes first person to hit one million citations

The milestone makes machine-learning trailblazer Yoshua Bengio the most cited researcher on Google Scholar. Computer ...
Modern Engineering Marvels on MSN

Neural Pathways for Memory and Logic in AI Now Mapped Separately

What if a model could forget without losing its mind?” That question now has a technical foothold, thanks to new research ...
GitHub

[BUG] - Minor: incorrect description in the Build the Neural Network tutorial

Calling the model on the input returns a 2-dimensional tensor with dim=0 corresponding to each output of 10 raw predicted values for each class, and dim=1 corresponding to the individual values of ...