Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...
In modern financial markets, recognizing trends is essential for investors seeking profits. Stock databases, or Stock DB, ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
NEC’s facial recognition, marketed under names like NeoFace and NeoFace Reveal, represents some of the most advanced ...
Abstract: Exploring the network-level spatiotemporal traffic interplay through traffic pattern recognition or traffic prediction is essential for intelligent traffic systems. Prediction models ...
Abstract: This paper proposes a novel algorithm for radar recognition of micro-motion targets such as UAVs and birds. The algorithm, named Squeeze-and-Excitation Multi-Scale Convolutional Neural ...
The emerging field of digital phenotyping leverages the numerous sensors embedded in a smartphone to better understand its user's current psychological state and behavior, enabling improved health ...