Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a critical role in mapping the physics of our changing climate.
Precise, verifiable, and granular data is key to climate risk mitigation. Increasingly, artificial intelligence systems emerge as the preeminent tools for collecting and analyzing climate insights with unprecedented accuracy and scope.
Scientists warn that the Arctic is warming far more quickly than the rest of the world and that this rapid change significantly impacts species, glaciers, and the planet’s climate. In the Norwegian archipelago of Svalbard,
Germany's business climate improved slightly in January, but expectations fell to a one-year low. Concerns over bureaucracy and US tariffs continue to weigh on the German economy. Markets slumped as China's DeepSeek AI shook the tech sector.
Artificial intelligence has emerged as a powerful tool to improve the accuracy and timeliness of forecasting, with 2024 proving to be a banner year for swift progress.
United Nations Secretary-General Antonio Guterres warned that unchecked climate change and AI pose existential threats to humanity. He emphasized AI's potential disruptiveness to economies and insisted it should benefit humanity rather than dominate it.
The UK has a growth problem. Can it harness artificial intelligence to help solve it, without sacrificing its climate ambition? That’s the challenge posed by a plan to make the UK an AI superpower.