Ahmed Azough, a professor-researcher at ESILV, co-directed a significant contribution to medical education research. Entitled “Virtual Reality in Medical Education: Effectiveness of the Immersive Virtual Anatomy Laboratory (IVAL) Compared to Traditional Learning Approaches,” this study was published in the Elsevier journal “Displays”. It aims to examine the impact of immersive virtual reality tools in enhancing […]
In mid-October, the De Vinci Innovation Center (DVIC) hosted a discussion that delved into the mysteries of Artificial Intelligence. Titled “Understanding Consciousness and AI,” the event brought together personalities from neuroscience and data science. Organized by Creative Valley (Creative Cluster), the University of Chicago, and the Institute of Future Technologies (IFT), the event encouraged reflection […]
The inaugural edition of the SNCF Datathon, often called the data hackathon, unfolded at the SNCF Réseau premises in the Île-de-France region. The grand prize in this competition, which featured six use cases and 12 teams, was claimed by students from ESILV. Students from the Data and Artificial Intelligence major took part in this educational […]
ESILV engineering students have succeeded in creating a virtual museum prototype that can be tested using Oculus Quest 2 virtual reality headsets. In partnership with the Centre Euro-méditerranéen pour la numérisation et la médiation du Patrimoine, the students have created the Virtual Museum: a virtual museum in the metaverse to preserve and mediate French heritage. […]
Big data is expanding at a rapid pace, and with it comes an increased demand for skilled professionals to manage projects. Big data project managers play a critical role in ensuring the success of these projects, and they require a unique set of skills to manage the complex nature of the work.
Machine learning, a branch of artificial intelligence (AI), has been viewed as one of the most important technological developments and is now a commonplace reality. After being an imaginary concept from sci-fi for way too long, today, machine learning has been improving industries, for social good, and daily life in terms of productivity and well-being, […]
Jean Ghislain Billa is a sophomore student at MIT majoring in Computation and Cognition. For his exchange experience, he chose to study at Devinci Innovation Center, as part of the ESILV Master in Engineering program. Jean took his studies abroad for a deeper immersion in France’s academic and cultural life. Today, he shares with us […]
In a new paper, Pegah Alizadeh, professor at ESILV and the Devinci Research Center member, proposes a new method to decomplexify classification problems in machine learning. The paper named “Clustering Approach to Solve Hierarchical Classification Problem Complexity” has been published in AAAI conference on artificial intelligence. This research event is known as a A* ranking […]
Unleash the subconscious power through AI to explore high-dimensional space and be connected to Mother Earth even more intensively as a human being. It’s the aim of The Wandering Mind, a dream research project that bridges art and science at De Vinci Innovation Center. The Pole Leonard de Vinci’s transdisciplinary research lab was home to MIT graduates […]
The “4D Space” is used by ESILV engineering students to test the potential benefits of virtual and augmented reality and to foster knowledge.
While some people might think that AI will lead to the disappearance of many professions, this technology actually offers new types of jobs and has an overall positive impact on the job market. AI’s constant evolution leads to the emergence of new professions that will play a huge impact in the future of the engineering […]
Thanks to this new Research Chair in Bayesian Neural Networks, ReciTAL, the French AI startup specialised in Document Intelligence solutions, and ESILV are joining forces and expand their expertise in the field of Artificial Intelligence. One of the criticisms about AI is the incapacity of current ML models to represent the concept of uncertainty accurately. […]