Starcloud launches the first AI satellite equipped with NVIDIA H100 GPU technology in November, promising space-based data centers that slash energy costs by 90% using unlimited solar power and vacuum cooling while enabling real-time Earth monitoring for wildfire detection and weather prediction.
Google's AI system now predicts floods five days in advance in Bangladesh, triggering automatic $85 cash payments to farmers before disasters strike, allowing them to protect livestock and crops rather than rebuild after devastation, with trials showing pre-flood aid proves more effective than traditional post-disaster relief.
Spanish startup Multiverse Computing raises $290M to revolutionize AI with small language models that slash energy consumption by 84% while running on regular CPUs instead of power-hungry GPUs, challenging Big Tech's wasteful approach as data centers devour increasing amounts of electricity.
AI data centers are projected to more than double electricity consumption to 945 terawatt-hours by 2030, adding 220 million tons of carbon emissions, while MIT researchers develop breakthrough solutions to cut GPU power by 70% and optimize renewable energy integration.
Google launches an AI agent tool that lets users query vast public datasets on health, climate, census, and economics through simple natural language commands, eliminating the need for complex coding and enabling policy analysts to instantly access millions of datapoints for research and analysis.
Al Gore launches massive satellite surveillance system using 300 satellites and AI to track deadly soot pollution across 2,500 cities worldwide, identifying nearly 140,000 pollution sources including thousands of 'super emitters' that kill millions annually.
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.