Today the main AI techniques found in power systems applications are those utilising the logic and knowledge representations of expert systems, fuzzy systems, artificial neural networks (ANN) and, ...

Opinions expressed by Forbes Contributors are their own. I write about key developments influencing the energy transition. CHUZHOU, CHINA - AUGUST 07: A robot inspects the equipment at a 220kV ...

According to IBM, the Spyre Accelerator significantly boosts speed and accuracy of AI processing capabilities for the Power ...

Nostradamus AI is one of the first forecasting tools designed for the energy industry, intended to optimize investments and ...

The team at BitEnergyAI claims that not only does their method save energy, it works faster while maintaining the same ...

Artificial intelligence firms, including industry leader OpenAI, are encountering unexpected setbacks in their pursuit of ...

Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.

In addition to the market challenges, most startups also had a flawed business strategy. Most AI startups had a similar ...

Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-bigger large language models by developing training techniques that use ...

By integrating symbolic techniques with traditional machine learning approaches, this methodology offers a more comprehensive and nuanced evaluation of AI systems’ cognitive abilities.

New HPE fanless cooler cuts server blade power consumption by 37% The system uses direct liquid cooling, perfect for AI ...