Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Abstract: In this paper, Python programming is employed to study the electromagnetic finite element method (FEM) and Bayesian deep learning. Rectangular cavity and folded waveguide (FWG) slow-wave ...

Check out the code for this video, which explores Genetic Algorithms (GA). What happened with the 14th Amendment? He ate at this restaurant every day. When he didn’t show, the chef saved his life.

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...

The Autonomy + Box integration is available today. Developers can deploy a working autonomous app into their Box environment in under 10 minutes using Autonomy's step-by-step guides or by leveraging a ...

Taiwo Feyijimi stands at a rare crossroads where advanced artificial intelligence, engineering education, and human learning converge. As a doctoral candidate in Engineering Education Transformations ...

Abstract: The booming development of deep learning applications and services heavily relies on large deep learning models and massive data in the cloud. However ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...