New research reveals AI models produce up to 50 times more CO2 emissions when tackling complex reasoning tasks, with philosophy questions generating six times higher emissions than simple topics, creating a stark trade-off between accuracy and environmental impact.
NVIDIA's revolutionary AI weather system HENS predicts extreme weather events in minutes with 96% accuracy for rare storms that traditional supercomputer models miss, using 7,424 ensemble members to deliver forecasts up to 14 days ahead while consuming dramatically less energy than current methods.
In a controversial move, Google removes its net-zero emissions pledge as the tech giant's energy usage surges 26% this year, driven by the AI boom, raising concerns about Big Tech's ability to meet climate goals amidst skyrocketing energy demands.
In a groundbreaking achievement, Google's AI model outperforms traditional physics-based models and official forecasts in accurately predicting Hurricane Erin's track and intensity up to 72 hours in advance, signaling a potential shift towards AI-driven weather prediction systems.
In a groundbreaking partnership, Saudi Aramco and Google AI firm SandboxAQ use quantum computing to transform carbon emissions into profitable products, making fighting climate change lucrative for oil giants and accelerating the shift to cleaner energy.
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.
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.
The National Hurricane Center has been utilizing AI for years to streamline data analysis and coordination, resulting in more accurate and timely hurricane forecasts while extending the tropical outlook from 5 to 7 days without sacrificing reliability.
Google DeepMind's GraphCast, a state-of-the-art AI model, delivers unprecedented 10-day global weather forecasts with higher accuracy than traditional methods, predicting extreme events earlier and completing forecasts in under a minute, revolutionizing weather prediction.