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 ...
GitHub

scAgeClock: a single-cell transcriptome based human aging clock model using gated multi-head attention neural networks

% conda create -n scAgeClock % conda activate scAgeClock % conda install python=3.12 % pip install scageclock-0.1.3.tar.gz # download the latest release ...
IEEE

An Integrated Prediction-Decision Unit Commitment Model Based on Deep Incremental Quantile Neural Networks

Abstract: Uncertainties and variabilities stemming from renewable energy make accurate prediction challenging, and thus pose significant difficulties for power system operation. This paper proposes an ...
IEEE

Dynamic Spatial-Temporal Graph Convolutional Neural Networks Approach for Active Mode Traffic Prediction

Abstract: Accurate short-term predictions of active mode traffic are crucial for effective urban traffic control and management, helping to reduce delays, stops, and improve travel time reliability, ...
Frontiers

Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration

Humanoid and Cognitive Robotics Laboratory, Department of Automatics, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia Collaboration between humans and robots is essential for ...
RCR Wireless News

AI infrastructure predictions round-up — what 2026 will demand

As AI workloads scale and infrastructure cycles compress, the pressure on networks, power systems, and physical deployment models is intensifying. By 2026, industry leaders expect competitive ...