IEEE

High-Frequency Trading Algorithm Optimization Based on Deep Reinforcement Learning and Generative Adversarial Network

Abstract: This work proposes a method for high-frequency trading algorithm optimization with the use of deep reinforcement learning and generative adversarial networks, followed by testing in real ...
The Rocky Mountain Collegian

New Synthetic Datasets Are Changing the Future of Face Recognition

The future of face recognition is being reshaped by synthetic datasets. Unlike traditional datasets that struggle with ...
Princeton University

In the hallways of Princeton, a fascination with the human mind unlocked the power of deep learning

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...
TMCnet

WiMi Launches Quantum-Assisted Unsupervised Data Clustering Technology Based on Neural Networks

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced the launch of a disruptive technology—quantum ...
IEEE

Multiple Face-Emotion Recognition Using Attention Mechanisms in Deep Learning

Abstract: Emotions were conveyed through facial expressions and could represent unspoken words. While humans could easily interpret these expressions, it remained a challenging task for machines.