Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

Designer enzyme enables yeast to produce custom fatty acids, reducing need for palm oil

Whether they are laundry detergents, mascara, or Christmas chocolate, many everyday products contain fatty acids from palm ...
Tech Xplore

Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning ...
IEEE

Hybrid PI and Fuzzy Logic Control for Energy Optimization in Train Operations

Abstract: This paper presents a Fuzzy logic-based train control algorithm designed to enhance energy efficiency across a complete railway route. The proposed framework dynamically integrates practical ...
GitHub

PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos

Actively Developing: In the long term, we aim to develop a comprehensive physics simulator focused on real-to-sim, serving as an easy-to-use platform for XR, VR, and robotics applications. Feel free ...
IEEE

Advanced Energy Optimization and Management Solutions for Enhanced AR/VR Performance in Consumer Electronics: Leveraging AI and Smart Grid Technologies

Abstract: The growing adoption of augmented reality (AR) and virtual reality (VR) devices has brought significant challenges in energy optimization due to their high computational and graphical ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...