Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

Matthew Goode plays a traumatized Edinburgh detective in a complicated cold-case series that’s less than the sum of its influences. By Mike Hale “Dept. Q,” this week’s new cop show on Netflix, is a ...

Aiming at the problems of slow network convergence, poor reward convergence stability, and low path planning efficiency of traditional deep reinforcement learning algorithms, this paper proposes a ...

ABSTRACT: With the rapid development of information technology, online learning platforms have become an important channel for college students to acquire knowledge. Based on the theory of “Uses and ...

How to improve the success rate of autonomous underwater vehicle (AUV) path planning and reduce travel time as much as possible is a very challenging and crucial problem in the practical applications ...

what is going on guys welcome back in this video today we're going to learn how to train a reinforcement learning agent in Python using Q learning so let us get right into it not [Music] a all right ...