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seminarprogramm [2019/12/12 16:47]
payan
seminarprogramm [2020/01/13 16:32]
payan
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 **Bio:** Sarah Lannes has been a Research Engineer with Idemia for five years; her main focus is face detections and video analysis. She graduated from the Ecole Centrale de Lyon and Penn State University (MS) and went on to join Let it Wave as a research engineer focusing on image and video processing for a range of applications from geological exploration and satellite imaging ​ to deinterlacing and video super-resolution. **Bio:** Sarah Lannes has been a Research Engineer with Idemia for five years; her main focus is face detections and video analysis. She graduated from the Ecole Centrale de Lyon and Penn State University (MS) and went on to join Let it Wave as a research engineer focusing on image and video processing for a range of applications from geological exploration and satellite imaging ​ to deinterlacing and video super-resolution.
  
-  * January 14 -  **Thierry Rayna, Professor of Innovation ​Managementto be specified, ​, ** (room Sophie Germain, introduit par Erwan Scornet).  ​+  * January 14 -  **Thierry Rayna, Professor of Innovation ​Management? Ecole PolytechniqueAssessing the impact of A.I. on Business Model Innovation ​** (room Sophie Germain, introduit par Erwan Scornet).  ​ 
 + 
 +**Abstract.** While technological innovation is generally seen as the pinnacle of competitiveness,​ market success is seldom achieved without business model innovation, and it could indeed be argued that technological and business model innovation are two sides of a same coin. As a matter of fact, numerous examples can be found of companies that had innovated technologically without adapting their business model and have, as a result, met their downfall. This is particularly the case for ‘emerging’ and ‘deep-tech’ technologies,​ where the use cases first envisaged are rarely those that eventually prevail. A.I., as an umbrella of heterogenous technologies,​ is certainly one of such technologies surrounded by myths and fantasy. The objective of this talk is first to shed a light on what business model innovation actually is and to present tools that can be used to anticipate impact of technologies on business models. This will be then used to discuss the expected impact of A.I. on business models. 
 + 
 +**Bio:** https://​www.polytechnique.edu/​annuaire/​fr/​user/​12853/​thierry.rayna#​ 
  
   * January 21 - **Fighting blindness with bionic eyes, Vincent Bismuth, Pixium Vision** (room Sophie Germain, introduit par Erwan Scornet). ​   * January 21 - **Fighting blindness with bionic eyes, Vincent Bismuth, Pixium Vision** (room Sophie Germain, introduit par Erwan Scornet). ​
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   * February 11 - ** IA & Ethics,​Issam Ibnouhsein Quantmetry,​** (room Sophie Germain, introduit par Marie-Paule Cani).   * February 11 - ** IA & Ethics,​Issam Ibnouhsein Quantmetry,​** (room Sophie Germain, introduit par Marie-Paule Cani).
  
-  * February 25 - ** to be specified,​Jean-Baptiste Rouquier ​ & Sébastien Ioos, FUJITSU ​ ** (room Sophie Germain, introduit par Marie-Paule Cani).+  * February 25 - ** Leveraging ​ computer vision advances ​to address real-world challenges,​Jean-Baptiste Rouquier,Senior Data scientist, Associate distinguished engineer ​ & Sébastien Ioos, Data scientist, FUJITSU ​ ** (room Sophie Germain, introduit par Marie-Paule Cani). 
 + 
 +**Abstract:​** “In the last years, deep learning applications have gained in popularity and drawn the attention of business leaders in all market segments. Deep neural networks performance in computer vision for object recognition,​ detection and segmentation,​ competing with human performance,​ has opened a new world of applications in a large variety of domains such as Retailing, Manufacturing,​ Security, Automotive, Energy and Healthcare. While deep learning is a hot topic in academic research, building real-world deep learning solutions suited to customer needs remains a difficult task which has to take into account the business specificities,​ the solution scalability,​ some ethics or legal concerns, and the potential risks related to algorithm mistakes. In this seminar, we will focus on solutions developed on top of object detection and multiple object tracking (MOT) to build computer vision systems that can be used to address various use cases developed at the Fujitsu Center of Excellence.” 
 + 
 +**Bio:**  
 +“Jean-Baptiste Rouquier graduated from École Normale Supérieure de Lyon and worked 6 years in academic research, on complex systems, complex networks and data science applications. He was then employed as an NLP researcher for a hedge fund, then software engineer for feature engineering at Criteo. He went to Dataiku to work as a data scientist, trainer, expert support and consultant, then in a mutual health insurance, before joining Fujitsu as senior data scientist for the creation of the AI Center of Excellence. He is a Fujitsu associate distinguished engineer.” 
 + 
 +“Sébastien IOOSS is graduated from Ecole Centrale Paris and National University of Singapore. He joined Fujitsu in 2017 at the creation of the AI Center of Excellence as data scientist specialized in computer vision and deep learning applications.”  
  
   * March 3 - ** "AI Ethics: Principles and beyond?",​ Véronique Magnier, Agrégée des facultés de droit, Professeur de Droit, Université Paris-Sud Saclay, Directeur de l'​Institut Droit Ethique Patrimoine ** (room Sophie Germain, introduit par Marie-Paule Cani).   * March 3 - ** "AI Ethics: Principles and beyond?",​ Véronique Magnier, Agrégée des facultés de droit, Professeur de Droit, Université Paris-Sud Saclay, Directeur de l'​Institut Droit Ethique Patrimoine ** (room Sophie Germain, introduit par Marie-Paule Cani).
seminarprogramm.txt · Last modified: 2023/02/15 15:35 by payan