Climate Change News and Research

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AI Lets Scientists Simulate 100 Billion Stars in the Milky Way for the First Time

Researchers have created the first Milky Way simulation that models more than 100 billion stars individually using a hybrid AI–HPC framework. This breakthrough achieves 100-times greater resolution and speed, enabling galaxy evolution studies that were previously impossible.

18 Nov 2025

AI-Driven Conservation Model Predicts Future Weather Damage to Gothic Monuments

ETH Zurich researchers have built an extended-reality “co-pilot” and digital twin of the Lausanne Cathedral to support real-time conservation, integrating structural data, material science, and climate-driven deterioration models. The system enhances on-site decision-making and public engagement while improving long-term, climate-resilient restoration strategies.

18 Nov 2025

AI as a Game-Changer for Earth System Modeling

Researchers at KIT have launched the WOW project to develop the first coupled AI-based world model capable of simulating interconnected Earth system processes. By linking specialized AI sub-models through latent spaces, the team aims to reveal hidden climate feedbacks and improve global-to-local risk assessment.

12 Nov 2025

Study Says AI’s Climate Footprint Is Far Smaller Than Feared

A new analysis from the University of Waterloo and Georgia Tech finds that AI’s contribution to national greenhouse gas emissions is negligible, despite rising electricity use. While local communities hosting data centers may feel significant strain, national-level climate impacts remain minimal and AI may ultimately accelerate clean-tech progress.

12 Nov 2025

Study Finds Hidden Bias in AI Text Evaluation When Author Identity is Revealed

Researchers at the University of Zurich found that large language models (LLMs) such as OpenAI’s o3-mini, Deepseek Reasoner, xAI Grok 2, and Mistral display systematic biases, but only when information about an author’s identity is provided. Without such cues, LLMs show over 90% agreement across controversial topics, debunking claims of ideological “AI nationalism.”

10 Nov 2025

AI Offers Hope For Coral Reefs: Machine Learning Predicts Resilience Amid Climate Change

A new study led by the Wildlife Conservation Society shows that AI and machine learning can predict coral reef futures with greater accuracy and optimism than traditional climate models. By integrating decades of field data, the models reveal that local management of fishing, pollution, and coastal impacts can foster reef resilience even under global warming.

2 Nov 2025

AI Accelerates Green Chemistry

Researchers at Universitat Jaume I have developed Reac-Discovery, an AI-driven robotic platform that accelerates catalytic reactor design and optimization, reducing processes from years to weeks. By integrating 3D printing, automation, and real-time machine learning, the platform transforms CO₂ and other feedstocks into sustainable, high-value chemical products with unprecedented efficiency.

20 Oct 2025

Machine Learning Supercharges Biochar Research To Fight Climate Change

A review in Biochar X shows how Machine learning is revolutionizing Biochar research, enabling precise predictions of biochar properties and performance to cut experimentation costs. This integration could accelerate climate mitigation by boosting biochar’s capacity to sequester carbon and remove pollutants.

18 Sep 2025

AI Can Read Emissions Reports But Can You Trust What It Says?

Researchers created a gold-standard dataset to benchmark AI systems that extract greenhouse gas emissions data from corporate sustainability reports. The study reveals widespread data quality issues, urging caution in using LLMs without verification.

11 Sep 2025

AI And Satellites Reveal Wildebeest Migration Numbers Are Far Lower Than Believed

For the first time, scientists have used AI and satellite imagery to count the Great Wildebeest Migration, finding fewer than 600,000 animals, less than half the long-standing estimate of 1.3 million. The results highlight new conservation challenges and a breakthrough in wildlife monitoring.

10 Sep 2025

AI Reveals Pakistan’s Rivers Face Record Floods And Droughts Every Decade

Researchers used multiple AI models to project the likelihood of record-breaking high- and low-flow events in Pakistan’s major rivers. The findings show basin-specific return periods of 11–15 years, highlighting urgent needs for tailored water management strategies.

3 Sep 2025

How Deep Learning Is Optimizing Biodiesel Feedstocks for a Greener Future

A new comprehensive review explores how artificial neural networks (ANNs) and deep learning techniques are transforming biodiesel production. These tools enhance feedstock selection, optimize yields, and enable more sustainable, scalable, and cost-effective biofuel solutions.

1 Sep 2025

EnvGPT Transforms Environmental Research By Matching Bigger AI Models With Compact Precision

Researchers developed EnvGPT, a fine-tuned language model trained on environmental science data, to address gaps left by general-purpose LLMs. It outperformed similar-sized models on benchmarks and neared the performance of much larger AI systems.

1 Sep 2025

MIT Scientists Show Simple Climate Models Can Outperform AI In Predicting Global Warming

MIT researchers found that simpler, physics-based climate models can outperform deep-learning AI in predicting regional surface temperatures, while deep learning works better for local rainfall. Their study highlights the importance of robust benchmarking to guide climate policy decisions.

29 Aug 2025

AI Can Support Diplomacy, But Only Human Empathy Builds Lasting Peace

AI is reshaping diplomacy by streamlining communication and boosting global collaboration, but it cannot replace human empathy, intuition, and cultural understanding. Dr. Donald Kilburg urges policymakers to adopt AI responsibly to complement, not replace, human judgment in statecraft.

28 Aug 2025

New AI-Powered Dataset Speeds Up Building Damage Assessments After Disasters

Researchers from Zhejiang University and RIKEN have developed the Extensible Building Damage (EBD) dataset, a semi-automated deep learning framework that reduces manual labeling by 80%. With over 175,000 labeled buildings from 12 major disasters, it accelerates and improves accuracy in post-disaster recovery.

22 Aug 2025

AI’s Climate Promise And Peril: Why Developers And Advocates See Different Futures

Researchers from the University of Washington found that while both AI developers and climate advocates care about sustainability, their values and perspectives differ sharply, especially on ethics and community engagement.

20 Aug 2025

Algorithms Uncork the Secrets of Fine Wine Evaluation

AI-driven models are transforming wine evaluation by matching expert ratings, generating human-like reviews, and offering personalised taste profiling, while also improving transparency in decision-making. This body of work highlights how AI can augment—but not replace—the sensory and cultural dimensions of wine appreciation.

4 Jun 2025

Aaron Courville Champions Collaborative AI To Solve Society’s Biggest Challenges

Aaron Courville, incoming director of IVADO and co-founder of Mila, champions an optimistic and pragmatic vision for artificial intelligence, emphasizing its potential to solve societal challenges. Rather than fearing AI, Courville advocates for responsible, collaborative development to maximize its benefits across fields from climate action to public policy.

28 May 2025

AI Turns Surveillance Cameras Into Precision Rainfall Sensors for Smarter Cities

Researchers from Tianjin University have developed an AI-based system that uses everyday surveillance cameras to accurately estimate rainfall in real time. The system achieved high precision across day and night conditions, offering a cost-effective and scalable solution for urban rainfall monitoring.

13 May 2025