Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Chao Hu is at the School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. The second category, data-driven lifetime prediction, uses ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

After giving birth, new mothers typically return for a follow-up appointment six to eight weeks later. But if postpartum depression symptoms emerge, “that can be a really long time for someone who is ...

illustrating the comprehensive zero-shot benchmark of 19 universal machine learning interatomic potentials and the dominant impact of training data composition for surface energy prediction. A ...

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

BrainChip Holdings Ltd. Claims that it’s the first company to deliver a spiking neural network (SNN) architecture to market. The company will begin sampling its new neuromorphic system-on-a-chip (SoC) ...

Rozita Dara receives funding from Ontario Ministry of Agriculture, Food and Agribusiness Alliance Tier I, funding and the University of Guelph's Food from Thought. University of Guelph provides ...