Banking on AI while committed to net zero is ‘magical thinking’, claims report on energy costs of big tech
Reports and Proceedings
Updates every hour. Last Updated: 16-Aug-2025 16:11 ET (16-Aug-2025 20:11 GMT/UTC)
With countries such as the UK declaring ambitious goals for both AI leadership and decarbonisation, a new report suggests that AI could drive a 25-fold increase in the global tech sector’s energy use by 2040.
One challenge with the manufacturing of MXenes is that they are only a few atoms thick, and defects are amplified on that scale. Using a technique called plasma-enabled atomic layer etching (plasma-ALE), Wang and members of his lab, including postdoctoral associate Xingjian Hu, can remove or replace individual surface functional groups – akin to atomic surgery.
New quantitative analysis from the Wang lab published in Matter found that the plasma-ALE process improves MXene conductivity by 80 percent and bends up to 165 degrees, which outperforms similar 2D materials.
The Wang lab’s goal is to develop MXene materials to enable more flexible, programmable and resilient soft robotics, all controlled with nothing but light.
New research shows that a medical artificial intelligence model accurately screened for cardiac amyloidosis, a progressive and irreversible type of heart disease, outperforming existing methods and potentially enabling better diagnosis and treatment.