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Interrupting encoder training in diffusion models enables more efficient generative AI

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
Devdiscourse

AI boosts predictive healthcare yet struggles with data, ethics and workflow adoption

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
IEEE

A Road Friction-Aware Anti-Lock Braking System Based on Model-Structured Neural Networks

Abstract: The anti-lock braking system (ABS) is a vital safety feature in modern vehicles, preventing wheel lock during emergency braking. However, the performance of conventional ABS is often limited ...
IEEE

Performance Comparison of Recurrent Neural Network Variants for State of Charge Prediction in Lithium-Ion Batteries

Abstract: This paper presents a comparative study of three widely used recurrent neural network (RNN) variants-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Gated Recurrent Unit ...