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.
DeepMind's CEO Hassabis predicts human-level artificial general intelligence (AGI) within a decade, heralding a 'golden era' where AGI solves major global challenges like disease and energy scarcity, though potential risks remain.
President Trump's $500 billion Stargate Initiative aims to streamline regulations, promote AI innovation, integrate renewable energy, and maintain global AI leadership and national security, positioning companies aligned with these goals for a competitive advantage.
The University of California awarded $18 million to fund ambitious AI research projects in genomics, quantum materials, and geothermal energy, bringing together expertise from UC campuses and national labs to accelerate scientific breakthroughs and innovation at unprecedented scale.
As climate risks intensify, renewables and nuclear power are poised to meet surging global electricity demand through 2026, displacing fossil fuels and reducing emissions, underscoring the need for resilient and diversified power systems.
Google pledges ambitious climate goals, vowing to achieve net-zero emissions across operations and supply chain by 2030, halve emissions compared to 2019 levels, transition to round-the-clock carbon-free energy, and invest in carbon removal technologies.
The AI boom, fueled by breakthroughs like DeepSeek's R1 and ChatGPT, is driving surging energy demands, heightening cybersecurity risks through AI-generated malware, and necessitating responsible governance frameworks to address the ethical and regulatory challenges of pervasive AI adoption.
Argentina's ambitious plan to build the world's first Nuclear City, powered by small modular reactors to attract AI data centers, faces skepticism over its feasibility, with critics citing potential hurdles like timelines, labor shortages, and continued reliance on fossil fuels.
Researchers developed a machine-learning model that can predict the transition states of chemical reactions in under a second with high accuracy, enabling efficient design of useful compounds like fuels and drugs by rapidly exploring potential reaction pathways.
Power companies market electricity as a revolutionary innovation in the 1920s, touting its ability to increase efficiency, prevent accidents, and reduce labor, while New York Edison constructs a massive new facility capable of generating 770,000 kilowatt-hours.