Scientist Maps Battery Data for Optimized Energy Storage Solutions
There are many ways to map the world, from geographic illustrations to the genetic makeup of the organisms around us. As an avid outdoorsman, hiker, and mountain biker, it is …
Building Trust in AI To Ensure Equitable Solutions
Your smart phone can feel like a lifeline, helping you navigate a new town or delivering an urgent message to a friend. Many people have a funny or embarrassing anecdote …
A Metabolic “Traffic Map”: Machine Learning Lets Scientists Plot Complex Flow of Compounds Through Microbes
Like traffic signals controlling cars through the center of town, microorganisms use metabolic signals to control the flow of energy and nutrients. Adjusting the timing between a red light and …
Machine Learning Method Could Speed the Search for New Battery Materials
To discover materials for better batteries, researchers must wade through a vast field of candidates. New research demonstrates a machine learning technique that could more quickly surface ones with the …
NREL Provides Guidelines for Creating Next-Generation Data Ecosystem
Scientists at the National Renewable Energy Laboratory (NREL) are helping pave the way for the next generation of data-driven, AI-enabled material science. In a new article in the journal Patterns, …
Colorado Mountain Homes Prepare To Pilot Autonomous Energy Management
The Basalt Vista community, nestled high in the mountains in Basalt, Colorado, is about to get a whole lot smarter in the pursuit of energy efficiency and renewable energy integration. …