NREL Unveils Groundbreaking Generative Machine Learning Model To Simulate Future Energy-Climate Impacts

New Open-Source, Publicly Available Model Rapidly Produces Super-Detailed Future Climate Data To Support Integrated Energy System Planning As countries worldwide transition to more wind and solar generation and electrify energy end uses, societies are becoming more intertwined with weather conditions. Meanwhile, the climate is rapidly changing and making extreme weather … [continued]

Photo of a light concentrating device outside the Maxwell Centre at Cambridge. Credit: Tomi Baikie.

Using Machine Learning & Neural Networks to Maximize Solar Energy Globally

Scientists are always on the lookout for ways to make our world a better place, and one area they’re focusing on is solar energy. One idea in this area is to make solar cells more efficient by concentrating more solar light onto them. While investigating this recently, a group of … [continued]

Image courtesy of Waymo

Tesla Is Way Behind Waymo — Reader Comment

We get a lot of great comments here on CleanTechnica. From time to time I think, “that’s a great full article!” I’m planning to start publishing these when I spot them. To kick this off, below was most of a comment from a reader in a comment thread about Tesla FSD in January. Enjoy! Or, if you don’t, feel free to carry on the conversation down in the comments!

Graphic by Cortland Johnson | Pacific Northwest National Laboratory

ChatGrid: A New Generative AI Tool for Power Grid Visualization

ChatGrid is a practical application of the Department of Energy’s exascale computing efforts and offers a new experience in easy, intuitive, and interactive data interaction Every minute of every day, grid operators monitor the ebb and flow of electricity from generators to substations to homes, businesses, schools, hospitals and more. … [continued]

Image created by Microsoft Copilot.

U.S. Department of Energy Awards Argonne National Laboratory $4 Million for Energy-Efficient Microchip Research

Argonne collaborates with multiple universities to advance new materials, devices for next-generation microchips While the microchips inside electronic devices like cell phones and computers are incredibly small, transistors — the tiny electrical switches inside of microchips — are approaching the atomic level. Today’s microchips pack over 100 million transistors in … [continued]

A new, innovative method using AI is paving the way for enhanced cybersecurity measures. Credit: Maksim Eren, image created in DALL-E.

Using AI To Develop Enhanced Cybersecurity

 New research helps identify an unprecedented number of malware families A research team at Los Alamos National Laboratory is using artificial intelligence to address several critical shortcomings in large-scale malware analysis, making significant advancements in the classification of Microsoft Windows malware and paving the way for enhanced cybersecurity measures. Using … [continued]

Image credit: CEEZER

AI-Driven Carbon Credits Platform CEEZER Secures €10.3 Million in Series A Funding

CEEZER, the leading enterprise grade digital platform for high-quality, verified carbon credits, has secured €10.3 million in its latest Series A funding round led by HV Capital, with investors Norrsken VC, Picus Capital and Carbon Removal Partners. The company announced this funding will be used to advance its US presence, … [continued]

ChatGPT & DALL-E generated panoramic image depicting autonomous cars

Lifelong Learning Will Power Next Generation Of Autonomous Devices

Applications as diverse as delivery drones, self-driving cars, industrial robots and extraplanetary rovers will depend on this emerging field Developers must overcome strict limits to size, power and model flexibility to enable on-device learning in real time, but new research and new design guidelines may help. Look up ​“lifelong learning” online, … [continued]