Artificial intelligence is revolutionizing hurricane forecasting, providing accurate predictions days in advance and enabling better resource allocation, but experts caution against solely relying on AI due to potential inaccuracies, stressing the need for a balanced approach integrating traditional models.
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.
Researchers unveiled a groundbreaking AI model, LinOSS, inspired by brain oscillations, that excels at long sequence predictions by leveraging principles of forced harmonic oscillators, outperforming existing state-of-the-art models and showing promise for applications like climate science and financial forecasting.
Atmospheric CO2 levels surpassed 400 ppm last year, a danger threshold risking catastrophic climate change, with unabated emissions potentially leading to 9°C temperature rises by 2250, while even immediate emissions cuts would take millennia to restore pre-industrial CO2 levels.
The Pliocene Epoch, spanning from 5.3 to 2.6 million years ago, witnessed cooler and drier climates, the emergence of early human ancestors like australopithecines, and major evolutionary changes in mammals like mastodons, camels, and horses in North America.
Quantum computers, harnessing the mind-bending properties of quantum physics, hold immense potential to revolutionize drug discovery, material science, and climate change mitigation, but significant engineering challenges remain in realizing their full capabilities, leaving their ultimate impact a tantalizing mystery.
A groundbreaking Israeli AI model trained on global satellite data accurately predicts lightning-sparked wildfire ignition locations with over 90% precision, providing a crucial tool for targeted wildfire prevention amid escalating climate change risks.
Orbital Materials, founded by an ex-DeepMind researcher, pilots an AI-designed purple powder that captures carbon more efficiently at data center temperatures, potentially reducing costs to $200/ton and enabling companies to offset emissions from energy-intensive data centers.
Defying economic trends and climate concerns, President Trump issued executive orders to prop up the ailing coal industry by keeping unprofitable coal power plants operational, portraying coal as the most reliable and powerful energy source despite the energy sector's shift towards cheaper alternatives like natural gas and renewables.