A series of monthly lectures, The Jacques Morgenstern Colloquium exhibits the most active, most promising research in the field of Information and Communication Science and Technology (ICST).

The lectures cover current research, new applications, as well as industrial and social challenges. The invited speakers are established senior experts of international stature in computer science, mathematics, and other fields where ICST plays a crucial role.

The colloquium is addressed to

The colloquium is named after Jacques Morgenstern, a professor of mathematics at the University of Nice Sophia-Antipolis and one of the pioneers in algebraic complexity and computer algebra. He headed a joint team of CNRS, Inria and the University of Nice until he died tragically in 1994.

The colloquium is part of the training at Ecole Doctorale STIC.

The lectures cover current research, new applications, as well as industrial and social challenges. The invited speakers are established senior experts of international stature in computer science, mathematics, and other fields where ICST plays a crucial role.

The colloquium is addressed to

**all researchers, engineers and students**who want to better understand the future of IST. It is intended to create awareness and interest and to promote interdisciplinary discussions and collaborations.The colloquium is named after Jacques Morgenstern, a professor of mathematics at the University of Nice Sophia-Antipolis and one of the pioneers in algebraic complexity and computer algebra. He headed a joint team of CNRS, Inria and the University of Nice until he died tragically in 1994.

The colloquium is part of the training at Ecole Doctorale STIC.

## Our recent speakers

### Vittorio Ferrari – Knowledge transfer and human-machine collaboration for training object class detectors

June 28th, 2018 (Polytech “Amphi Nord”, in building Templiers 2) Object class detection is a central area of computer vision. It requires recognizing and localizing all objects of predefined set of classes in an image. Detectors are usually trained under full supervision, which requires manually drawing object bounding-boxes in a...

### Jacques Demongeot – Biological Networks Entropies: examples in neural, genetic and social networks

May 24th, 2018 The networks used in biological applications at different scales (molecular, cellular and populational) are of different types, genetic, neuronal, and social, but they share the same dynamical concepts, the notion of interaction graph G(J) associated to their Jacobian matrix J, and also the concepts of frustrated nodes,...

### Josselin Garnier – A l’écoute du bruit – L’imagerie par corrélations croisées

20 mars 2018 Les techniques d’imagerie classiques utilisent des ondes pour sonder un milieu inconnu et sont employées pour des applications médicales (échographie) ou géophysiques (séismologie) par exemple. Ces ondes sont émises par des réseaux de sources et après propagation dans le milieu elles sont enregistrées par des réseaux de...

### Nicolas Schabanel – Folding Turing is hard but feasible

February 6th, 2018 We introduce and study the computational power of Oritatami, a theoretical model to explore greedy molecular folding, by which the molecule begins to fold before waiting the end of its production. This model is inspired by our recent experimental work demonstrating the construction of shapes at the nanoscale...

### Franck Varenne – An extensionalist analysis of computer simulations

January 11th, 2018 The current spreading of multi-scale and multi-process integrative simulations is challenging for the philosophy of science. What is the epistemic function of such a simulation? What does it really show? On what grounds? Is it an experimental design or a theoretical construction? To contribute to these debates,...

### Julia Lawall – Coccinelle: synergy between programming language research and the Linux kernel

November 23rd, 2017 The Linux kernel underlies all kinds of systems across the computing landscape, from embedded systems to supercomputers. Today, the number of developers contributing to a given Linux kernel version is almost 2000. These range from developers who have many years of experience and work on core parts...

### Marta Kwiatkowska – Safety Verification of Deep Neural Networks

October 19th, 2017 Deep neural networks have achieved impressive experimental results in image classification, but can surprisingly be unstable with respect to adversarial perturbations, that is, minimal changes to the input image that cause the network to misclassify it. With potential applications including perception modules and end-to-end controllers for self-driving...

### Richard Szeliski – Visual Reconstruction and Image-Based Rendering

September 12th 2017 The reconstruction of 3D scenes and their appearance from imagery is one of the longest-standing problems in computer vision. Originally developed to support robotics and artificial intelligence applications, it has found some of its most widespread use in the support of interactive 3D scene visualization. One of...

### Lawrence Paulson – Proof Assistants: From symbolic logic to real mathematics?

May 18th, 2017 Mathematicians have always been prone to error. As proofs get longer and more complicated, the question of correctness looms ever larger. Andrew Wiles’ proof of Fermat’s last theorem contained a flaw that was only fixed a year later. Meanwhile, proof assistants — formal tools originally developed in...

### Jean-Christophe Thalabard – Mathématiques, Statistiques et Médecine: des collaborations plus que jamais nécessaires

jeudi 6 avril 2017 A travers le paradigme d’une maladie chronique fréquente, le cancer du sein, nous souhaitons aborder les évolutions de formes de collaborations entre le domaine médical et les chercheurs en mathématiques appliquées. La capacité à observer et quantifier les états physiologiques et pathologiques et approcher leurs variabilités...