McGill University’s study explores the transformative potential of AI in biodiversity conservation. By analyzing complex data, AI helps bridge critical gaps in knowledge about species distributions and ecosystem health. The research also discusses practical applications, challenges, and ethical considerations for AI in conservation efforts.

The AI-Environmental Journalism Integration Model (AEJIM) is transforming real-time environmental reporting by integrating AI with community input. This innovative approach enhances accuracy, fills monitoring gaps, and supports global decision-making. However, it faces challenges like data reliability and fairness, highlighting the need for ethical AI journalism.

Researchers have developed an AI-guided catalyst that enhances hydrogen production, increasing efficiency while lowering costs. Using cobalt phosphide modified with fluorine, this breakthrough could help make hydrogen a viable clean energy solution, supporting global climate goals. The technology has shown durability in tests and may revolutionize hydrogen use in transportation and manufacturing.

A comprehensive bibliometric study published in Urban Science analyzes nearly 5,000 research papers to map the evolving role of artificial intelligence in smart cities. From optimizing transportation and energy use to monitoring air quality and enhancing public safety, AI is driving urban innovation across disciplines and continents. With emerging trends like digital twins and blockchain integration, the report also raises key ethical and regulatory considerations that must be addressed for sustainable development.

Artificial intelligence is reshaping mineral exploration. In Australia, Earth AI has identified promising deposits of copper, cobalt, gold, and more using historical data and advanced algorithms. While these findings offer hope for meeting rising global demand, their commercial viability is still under review.

Artificial intelligence is reshaping wildlife conservation by enabling scientists to monitor endangered species more efficiently. In Costa Rica and Colombia, AI-powered acoustic tools are being used to track animals like spider monkeys and jaguars, offering insights into habitat health and guiding policy decisions.

A new AI-driven traffic management system by LYT is helping emergency vehicles cut through congestion by turning traffic lights green in real time. Already adopted in several U.S. cities, this cloud-based platform is improving emergency response times and showing potential for broader use during events and severe weather conditions.

In a bold move to reshape scientific research, Microsoft’s AI for Science lab, headed by physicist-turned-AI-expert Christopher Bishop, is leveraging artificial intelligence to accelerate discoveries in areas like drug development, sustainable energy, and climate solutions. From developing powerful tools like TamGen to pioneering AI emulators for weather prediction, the lab is redefining how science is done in the age of AI.

To combat intensifying wildfires, Cal Fire is collaborating with the AI-powered FireSat network. Supported by Google and the Moore Foundation, the satellite system uses AI-driven infrared analysis to detect fires faster, providing essential data to guide emergency responses and protect communities.

Heating and cooling buildings accounts for 18% of global energy use—but AI could help reduce that. From New York to Stockholm, smart HVAC systems are slashing energy costs and carbon emissions. Yet, concerns about AI's own power consumption and environmental toll highlight the need for balanced solutions.

Scientists at Monash University have introduced an AI-driven tool to tackle microplastic pollution in oceans. This groundbreaking technology swiftly identifies plastic chemical signatures and contamination levels, addressing data gaps in marine pollution research. With potential applications in freshwater and land-based studies, the innovation could reshape global efforts to monitor and reduce plastic waste.

AI is reshaping efforts to tackle air pollution and climate change, offering precise tools to reduce PM2.5 and greenhouse gases, per a March 12, 2025 report. The EPA’s new 9.0 µg/m³ standard aims to save lives, but AI’s growing energy use—tripling data center emissions since 2018—poses risks. Solar panels’ efficiency evolution suggests a path forward, if AI can follow suit.

Google Cloud has introduced WeatherNext, two AI-based weather forecasting models from DeepMind, targeting energy companies with predictions up to 15 days. As climate challenges grow, these tools aim to enhance planning, reflecting AI’s shift from research to real-world use.

Artificial intelligence is reshaping neuroscience by enabling precise, 24/7 monitoring of lab animals. From Vivek Kumar’s DAX system to Talmo Pereira’s SLEAP algorithm, AI tools are driving detailed behavioral analysis, improving animal welfare, and boosting research reproducibility, despite challenges like cost and data sharing.

URBAN AI has launched a six-week 'AI in Urban Planning' program to educate professionals on integrating artificial intelligence into city development. The course covers predictive modeling, generative AI, and regulatory planning, taught by globally recognized experts. Designed for urbanists, policymakers, and real estate professionals, the program aims to shape the future of AI-powered urbanism.

NYSEG is revolutionizing power grid maintenance with AI-powered image recognition, drones, and vehicle-based imaging to inspect and upgrade over 45,000 miles of overhead lines. This initiative enhances grid reliability and safety by identifying and addressing equipment issues before they cause failures.

Could AI be the key to preventing the next asteroid disaster? From AI-powered meteor tracking to autonomous recovery drones, artificial intelligence is reshaping planetary defense and meteoritics. Learn how cutting-edge AI tools are enhancing asteroid detection, impact predictions, and space exploration, ensuring a safer future for Earth.

AI is driving a revolution in particle physics, enabling CERN to push the boundaries of Higgs boson research and dark matter detection. With Prof. Mark Thomson set to lead CERN in 2026 and the LHC’s AI-powered data analysis advancing rapidly, major discoveries could reshape our understanding of the universe. Find out how AI is unlocking the secrets of fundamental physics.

On January 18, 2025, a magnitude 2.8 earthquake near Canberra reignited discussions on the role of AI in seismic detection. Discover how AI-powered systems are revolutionizing earthquake monitoring, offering faster analysis, early warnings, and predictive insights to enhance safety and preparedness.

AI-powered research has unveiled significant glacier retreat in Svalbard, linked to rapid Arctic warming. Analyzing decades of satellite data, the study highlights the vulnerability of marine-terminating glaciers and their impact on sea levels. Explore how AI is revolutionizing climate research.