The fix isn’t more data. It’s data that knows how to tell its own story through state-of-the-art, AI-powered data governance.

Artificial intelligence (AI) can be made more sustainable by making practical changes, such as reducing the number of decimal ...

New research has found a way to reduce fire hazards in EVs by rapidly identifying safe solid electrolyte materials.

Trains a model with Tensorflow / Keras to detect digits from my electricity meter. Images are coming from an ESP32 camera webserver. It predicts the digits, trains itself with the new predicted images ...

Full documentation is available here. EPM (Electricity Planning Model) is a least-cost power system planning tool. EPM has been developed by the Power Systems Planning Group, embedded in the Energy ...

Generally, predicting how the Electricity cost will function is one of the most demanding tasks, and predicting the price can be the most critical process ever. This task is very complex and has ...

Typical electric motor design process involves time-consuming finite-element simulations. In recent years, machine learning and deep learning techniques have been investigated for the development of ...