
New Study Reveals Nations Most at Risk from Climate Change
New research confirms global climate targets have been missed, identifying the specific nations most vulnerable to extreme heat, wildfires, and disease.
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New research confirms global climate targets have been missed, identifying the specific nations most vulnerable to extreme heat, wildfires, and disease.

As Hurricane Melissa batters Jamaica, a wave of AI-generated videos depicting fake sharks and dramatic storm scenes is flooding social media platforms like TikTok.

Stardust Solutions, an Israeli-U.S. startup, secured $60 million, the largest funding for a solar geoengineering company, to test reflective particles in the stratosphere by April 2026, raising hopes

Scientists have identified a massive, previously unknown gravity anomaly deep within Earth and developed AI that can design new viruses, raising both hope and concern.

IBM has introduced the Spyre Accelerator AI chip for enterprise systems and the Granite-Geospatial-Ocean model for advanced marine ecosystem monitoring, enhancing secure AI and environmental understan

New research explores ways to curb the rising carbon footprint of AI data centers, which are projected to double global electricity demand by 2030, with 60% met by fossil fuels.

A review of 2,300 studies reveals that urban climate research is neglecting generative AI, potentially creating geographic and solution-based inequities.

Japan's push to become a global AI and semiconductor hub is driving a massive data center boom, creating a direct conflict with its 2050 carbon neutrality goals.

A new study reveals that the energy required for AI video generation quadruples when video length doubles, highlighting a significant environmental cost.

New AI models are making accurate weather forecasting affordable and accessible, offering a critical tool for farmers in developing nations to combat climate-related risks.

Amazon executives detail a strategy using artificial intelligence to advance climate goals, citing examples in data analysis, waste reduction, and clean technology.

Projections for AI's energy needs may be inflated, risking the construction of unnecessary fossil fuel plants that could raise consumer costs and pollution.