This keynote, given by Moritz Hardt at the Hi! PARIS Summer School 2024, explores the role of benchmarks in artificial intelligence. Hardt talks about how benchmarks are key to guiding AI research and measuring progress in a field that is always changing. As AI grows, so do benchmarks, bringing up important questions about how to best measure and direct future developments.
We are thrilled to welcome Austin Stromme at ENSAE Paris and Radu Dragomir at Telecom Paris as Hi! PARIS Chair Holders, bringing their expertise in AI, data science, and optimization methods to drive innovative research with impactful real-world applications.
The Executive Forum on Digital Innovation & Analytics (DIA) – October 11, 2024 will take place on October 11, 2024, organized by Xitong Li, Hi! PARIS Fellow.
Explore the world of AI with Hi! PARIS’s latest MOOC, offering insights into AI’s origins, regulatory landscape, industry performance, and societal impact. This 4-week course, featuring expert-led videos and quizzes, is open to everyone, with no prerequisites. Gain a solid foundation in AI’s role in shaping the future of technology and society.
Enroll today to start your journey into AI!
The Hi! PARIS Meet Up! event organized by Hi! PARIS is about “AI, Ethics and Regulations”. Save-the date: October 17, 2024 (6:30-8:30 pm), hosted by our corporate donor Schneider Electric.
Hi! PARIS proudly sponsors the ELLIS Doctoral Symposium, the annual highlight of the ELLIS PhD Program. This conference brings together ELLIS PhD students and peers to share knowledge in machine learning. This year’s focus on “AI & Sustainability” explores how AI can address environmental challenges. The event offers a unique platform for research presentation, idea exchange, and networking among future AI leaders.
The 2024 Hi! PARIS Symposium showcased the latest advancements in robotics and AI, with global experts discussing their societal impact, from healthcare to ethics and future trends.
Optimization for Machine Learning is in the spotlight of the Hi! PARIS Reading groups in October-December 2024, a scientific networking action gathering affiliates and corporate donors around important topics of the moment!
The Sacl-AI for Science Workshop brings together faculty, researchers, and students interested in applying machine learning to scientific problems. It introduces foundational ML topics for novices and provides a platform for researchers to present their work and network.
Judged on its excellence regarding teaching, research, innovation and technological transfer, as well as on the variety of its training, the consortium led by HEC Paris and the Institut Polytechnique de Paris (École polytechnique, ENSTA, ENSAE, Telecom Paris, Telecom SudParis) and bringing together Inria, the CNRS, the Ecole Nationale des Ponts et Chaussées and the Université de Technologie de Troyes, wins the Project Call Cluster AI.