Achieving net zero emissions with machine learning: the challenge ahead - Nature Machine Intelligence

Bangladesh and India were hit in June this year by one of the worst floods ever seen in a century as a result of climate change, leaving millions in need of aid. Rising temperatures are also causing heatwaves, droughts, wildfires, floods and other catastrophic events worldwide, while underprivileged regions are paying the biggest price for the world's failure so far to reduce carbon emissions. Governments should not need further wake-up calls to act swiftly and cap global warming to 1.5 C above pre-industrial level. The Intergovernmental Panel on Climate Change report Climate Change 2022: Mitigation of climate change, which was released in April, concludes that "without immediate and deep emissions reductions across all sectors, limiting global warming to 1.5 C is beyond reach"1. According to the report, in order to reach the goal, global greenhouse gas emissions should peak before 2025 and decrease by 43% by 2030.