ML4EP

Leader: Lorenzo Moneta
📅 meetings

The ML4EP Project promotes collaboration and give direction to the different SFT projects on AI/ML topics. It helps sharing expertise and knowledge developing and maintain common ML software solutions required for experiments. Examples are common ML software solutions required for experiments, fast simulation of calorimeter showers, porting machine learning models on FPGA.
It also establish interfaces between machine learning software and high-energy physics (HEP) software, without competing with existing industrial open-source tools, but being complementary and facilitate their usage.