Breaking news: Six pioneering firms are joining New York's Offshore Wind Innovation Accelerator, focusing on groundbreaking advancements like turbine maintenance, marine life monitoring, and other cutting-edge innovations to drive the state's burgeoning offshore wind industry forward.
AI's surging energy demands strain electricity grids, necessitating increased fossil fuel usage in the near term, but renewables and nuclear power emerge as pivotal solutions beyond 2030 to meet the escalating computational needs while mitigating environmental impacts.
Surging energy demands from AI systems are straining power grids and fueling emissions, with data centers already consuming 2-4% of national electricity in major economies and AI potentially driving a 25-fold increase in the global tech sector's energy use by 2040.
Google and Microsoft report significant surges in greenhouse gas emissions, with increases of 48% and 29% respectively, driven by the energy-intensive demands of their expanding artificial intelligence operations and data center construction.
Meta unveils plans for massive water-guzzling data centers to power AI and pursue superintelligence, raising concerns over straining local water resources, potential shortages, and higher prices for communities.
Driven by AI's insatiable energy demands, data centers' electricity consumption is projected to double by 2030, with the US, Europe, and China accounting for 85% of current energy guzzling.
Groundbreaking AI applications are projected to reduce global emissions by billions of tonnes annually by 2035 through optimizing power generation, meat production, passenger vehicles, and accelerating green technology discovery while guiding sustainable choices and enhancing climate preparedness, necessitating proactive government guidance to ensure equitable benefits.
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.
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.