How can we guarantee the reliability of quantum systems? This is the challenge being addressed by an ambitious European research project called VeriQuB, coordinated by the QAT team (Inria, École normale supérieure - PSL, CNRS) at the Inria Paris centre. Its aim is to identify new methods for verifying the performance of quantum computers using bosons. Ulysse Chabaud, the project coordinator, tells us all about it.
Accurately predicting the evolution of climateand anticipating extreme weather events is a challenge, particularly due to the heterogeneity of the data. Artificial intelligence and machine learning could well assist in confronting the climate crisis. With this in mind, that Claire Monteleoni, scientifics at the Inria Centre in Paris, built a Inria team-project dedicate from these question with AI. Let's find out more about the challenges and aims of his research.
Accurately predicting the evolution of climate worldwide and anticipating extreme weather events is a challenge, particularly due to the heterogeneity of the data collected in the field and the abundance of data generated by computer models. Artificial intelligence and machine learning could well assist scientists, communities, energy utilities, and decision makers in confronting the climate crisis. With this in mind, the Inria Centre in Paris is planning to set up a new team, headed by Claire Monteleoni, dedicated to AI research to combat climate change. Let's take a closer look at what they’ll be exploring.
The scholarship would facilitate the scholars to pursue their research internship at premier universities in the US, the UK, Belgium, Canada, and Germany
An IIT Kharagpur alumnus, a hedge fund researcher in New York, has come forward to support 10 meritorious students of the premier educational institution for their summer internship in reputed foreign universities. The scholarship would facilitate the scholars to pursue their research internship at premier universities in the US, the UK, Belgium, Canada, and Germany.