BIOENGINEER

MetaGCN-CD improves community detection in heterogeneous academic networks

A supervised graph-learning model combining metapath embeddings, graph convolution and attention outperformed 12 baselines on the DBLP and ACM academic-network benchmarks.
BIOENGINEER

AI That Watches You Dance: Graph Neural Network Learns to Coach Like a Master Teacher

A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving ...
newswise

A New Spatiotemporal Convolutional Neural Network Model for Short-Term Crash Prediction

With the severe economic and societal impacts of traffic crashes, proactive traffic safety management has become a key approach to reduce crash risks, and real-time crash prediction (RTCP) serves as a ...
techtarget

What is a convolutional neural network (CNN)?

A convolutional neural network (CNN) is a category of machine learning model. Specifically, it is a type of deep learning algorithm that is well suited to analyzing visual data. CNNs are commonly used ...
english.cas

Dynamic Clustering Accelerates Neural Networks on Resource-Constrained Platforms

Called Dynamic Clustering for Channel Pruning (DCCP), the method reduced the floating-point operations of ResNet-50 by 68.52% ...
Greenbot

Neural Networks and Deep Learning Explained

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...
techtimes

Brain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax

Every neural network powering your phone's camera, the language model on your screen, and the recommendation engine choosing your next video was trained with the same four-decade-old algorithm: ...