Wind power has become increasingly popular, but its success is limited by the fact that wind comes and goes as it pleases, making it hard for power grids to count on the renewable energy and less ...

Google's AI subsidiary DeepMind has developed a machine learning algorithm to predict the productivity of wind farms up to 36 hours in advance. The system is currently used across 700MW of wind power ...

DeepMind claims it has trained an artificial intelligence system how to predict the energy output of Google wind farms in the U.S. The variable nature of wind makes it difficult to accurately predict ...

Researchers have developed a machine learning model using a physics-based simulator and real-world meteorological data to better predict offshore wind power. Rutgers researchers have developed a ...

Parked vehicles can quickly become a life-threatening environment for unattended children or dogs during the summer months. Dangerous cabin temperatures can be reached in a matter of minutes.

Join leaders in Boston on March 27 for an exclusive night of networking, insights, and conversation. Request an invite here. Google’s DeepMind is using machine learning to predict the performance of ...

One of the first applications of DeepMind at Google was to reduce and now control power usage at its data centers. Google is now leveraging machine learning to make more efficient wind farms by ...

Posts from this author will be added to your daily email digest and your homepage feed. is a Senior Producer on Decoder. Previously, he reported on the technology and gaming industries for more than a ...