Over the past 3 years, Hi! PARIS has achieved significant growth, driven by community support and collaborative efforts. The Meet&Greet was an opportunity to reflect on these achievements and express gratitude towards everyone who contributed to the center’s success.
In a groundbreaking event aligned with UNESCO’s International Day of Women and Girls in Science, Hi! PARIS Center is organizing a round table on February 9, 2024. The focus is a critical and often overlooked question: “What can men and boys in science do for women and girls in science?”
Diffusion models for image generation are in the spotlight of the Hi! PARIS Reading groups in February-May 2024, a scientific networking action gathering affiliates and corporate donors around important topics of the moment!
In this seminar, Bharath Sriperumbudur will talk about the Gromov-Wasserstein Distances: Entropic Regularization, Duality, and Sample Complexity.
Hi!ckathon 2023 challenge, opening on November 14.
The Hi!ckathon is a competitive AI and Data Science challenge organized by Hi! PARIS, the Center dedicated to data science and AI.
The Career Fair event organized by Hi! PARIS Center offers our students the opportunity to identify potential future internships and job opportunities in AI and Data Science, receive career advice, and engage in discussions about the sustainability initiatives of the participating companies.
We are thrilled to announce the renewal of our sponsorship agreement with Capgemini.
This renewed partnership is aimed at continuing our joint commitment to innovation, research, and education, thereby creating new opportunities for our community.
In this seminar, Mikael Johansson will introduce an efficient algorithm for regularized optimal transport, a crucial technique in various domains.
As the curtains close on another successful chapter, we are thrilled to share the enriching journey of the Hi! PARIS Data BootCamp 2023.
The Hi! PARIS Data Bootcamp is designed for students from HEC Paris and IP Paris entering their graduate studies and willing to developp their knowledge in Data Science or Python programming.