AI's skyrocketing electricity demand, projected to more than double by 2030, fuels both opportunities to cut costs, enhance competitiveness, reduce emissions through energy sector innovation, and the urgent need for countries to invest in power generation, grids, data center efficiency, and cross-industry collaboration.
Arago unveils a photonic processor slashing AI energy consumption by 10x and raises $26M in seed funding to commercialize its breakthrough chip that processes data using lasers instead of transistors, delivering top GPU performance at lower cost.
AI-powered robots from AMP Robotics are transforming recycling by efficiently sorting materials directly from garbage streams, slashing costs by up to 50% and making recycling economically viable.
CattleEye, an AI-powered system using computer vision, detects lame cows four weeks earlier than humans, reducing lameness by 10% and emission intensity by up to 40%, boosting health for over 200,000 cows worldwide under its digital custodianship for major clients like Tesco, Danone, and Arla.
An AI model developed by researchers rapidly identifies eco-friendly cement formulas with low carbon footprint and high quality in seconds by simulating thousands of ingredient combinations, combining expertise from cement chemists, thermodynamics experts, and AI specialists to accelerate sustainable material discovery.
Powerful generative AI models driving innovation emit staggering carbon emissions, up to 50 times more than simpler models, with complex queries generating 6 times higher emissions, highlighting the urgent need for sustainable AI development amid rapid technological progress.
Researchers develop an AI model that rapidly identifies low-emission cement formulations while maintaining quality, combining expertise in cement chemistry, math, AI, and engineering to accelerate eco-friendly cement discovery.
UC Irvine leads a $6 million initiative funded by the UC Office of the President, involving researchers from 5 UC campuses and 2 national labs, to develop an AI ecosystem called Geophysicist.AI that integrates data and models to address subsurface challenges like geothermal energy, carbon sequestration, and nuclear waste storage.
Google unveils a staggering $7 billion investment in Iowa, boosting AI capabilities and job opportunities, while prioritizing sustainability through renewable energy and workforce development partnerships.
Data centers consume enormous amounts of water for cooling servers and equipment, posing new challenges and opportunities for civil engineers to design efficient water systems, minimize consumption, and collaborate with utilities for sustainable operations.