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human inspired autonomous navigation in crowds – Hianic
The HIANIC cybercar will analyze its environment by detecting people, evaluating crowd flows, recognizing typical scenarios. It will infer the reaction of the passengers in order to navigate in a way that makes them feel comfortable. Several navigation strategies will collaborate to adapt the moveme
Non Invasive Device assessing Pharyngo-Laryngeal Effectiveness – PhLEs-NID
The PhLEs-NID project proposes to develop a non-invasive device in response to the problem of swallowing disorders. This device will combine several sensors capable of detecting different types of signals related to pharyngolaryngeal functioning. Thanks to their treatment by artificial intelligence,
Sequential and Active Learning for Optimization – SeqALO
The goal of this project is to develop a new theory of sequential and active optimization, to implement it in industrial projects, and to develop a teaching track dedicated to machine learning in general and to sequential decision theory in particular within the ENS of Lyon. Let f:X*E?R be a stoc
Common Framework for Textual Anomaly Detection – CFTextAD
CFTextAD is a fundamental research project, contributing to axis E.2, "Artificial intelligence and data science". It proposes to build a common framework for textual anomaly detection, in order to understand how to best associate existing NLP representational models and existing anomaly detection me
Vision-based Reconfigurable Drone Swarms for Fast Exploration – VORTEX
The VORTEX project proposes a new approach for exploring unknown indoor environments using a fleet of autonomous drones (UAVs). We propose to define a strategy based on swarm intelligence exploiting only vision-based behaviors. The fleet will deploy as a dynamic graph self reconfiguring according to
Law Versioning: semantical and executable – LaVerSE
Versioning system — computer programs that allow to work with different versions of the same document — have seen a lot of recent work, both theoretical and practical. The LaVerSE project aims at creating a versioning system for legal texts. Indeed, legal texts have two peculiar features: they are h
Nonlinear photonic lanterns for spiking neural networks – NOLANN
Spiking neural networks (SNN) are bioinspired computing paradigms that enable machine learning with sparse and limited training data. In a novel approach, we investigate photonic platforms that would permit the realization of high optical SNNs, leading to parallelized, ultrafast and energy-efficient
Original Computational Techniques for Optimization of Polymers Using Sustainable SYnthesis – OCTOPUSSY
This project aims at the design and synthesis of novel polymers derived from renewable feedstocks with application as commodity or specialty materials (e.g. flexible sustainable packaging), using a synergetic computational and experimental dialogue. For this purpose, artificial intelligence models b
Reasoning about Games for creating and refIning strategies – NOGGINS
The goal of this project is to build intelligent players that can learn and represent in a symbolic way strategies for playing games while considering different perspectives starting from “winning the game” to “being ethical”. To do so, agents will reason at first about the rules governing the games
Multimodal Transit for Accessibility and Sustainability – MuTAS
Transit has a crucial role in the economics and the society of urban conurbations. To drive its evolution toward environmental sustainability and better user-centric performance, we envision optimally integrating new (Auto- mated) Mobility on Demand and classic Fixed Route Transit. This calls for a
