A research team has investigated the efficacy of AlexNet, an advanced Convolutional Neural Network (CNN) variant, for automatic crop classification using high-resolution aerial imagery from UAVs.

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 ...

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

AI security cameras are transforming modern smart home security by analyzing live video feeds in real time to detect unusual activity with high accuracy. Using advanced convolutional neural networks, ...

Researchers at Sun Yat-sen University have developed an improved convolutional prototype network that classifies known ...

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: ...

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

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

From image captioning and neural networks to Tesla Autopilot and OpenAI, Andrej Karpathy has helped shape modern AI research. Here are seven major breakthroughs and contributions that influenced ...

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...