Nature

Cycle based state of health estimation of lithium ion cells using deep learning architectures

State of Health estimation in lithium-ion batteries is critical for reliable operation in electric vehicles and energy storage systems. This work evaluates four deep learning models—Multilayer ...
Nature

Deep learning-based malaria parasite detection: convolutional neural networks model for accurate species identification of Plasmodium falciparum and Plasmodium vivax

The experiments were conducted on a system with Windows 10 64-bit, equipped with an Intel Core i7-10700K CPU, 930 GB SSD, 32 GB of RAM, and an Nvidia GeForce RTX 3060 GPU. We used a dataset of 5,941 ...
Phys.org

Simpler models can outperform deep learning at climate prediction

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...