Neural networks are AI models designed by machine learning. They are inspired by the workings of the human brain and allow machines to carry out different tasks autonomously. Using large quantities of data as examples, they can be trained in image recognition or text analysis. Beyond their predictive performance, a number of scientific challenges still need to be resolved, concerning the understanding of their limits, reliability of their use, and their acceptability, in addition to ethical issues such as energy consumption. Stephan Clémençon, a researcher in artificial intelligence at Télécom Paris, explains more.

Methanization reduces the volume of organic waste and prevents biogas produced by fermentation, including methane, a potent greenhouse gas, from being dispersed into the atmosphere. Biogas is also used to produce heat, electricity and even biomethane for injection into the natural gas grid. Yves Andrès and Khaled Loubar, researchers at IMT Atlantique, tell us more about this technology which is emerging as a key driver of energy transition.

Digital consumption doubles every 5 years. This is due in particular to the growing number of digital devices and their increased use. This consumption also has an increasing impact on the environment. Digital sufficiency refers to finding…