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Jean-Louis Dessalles, Télécom Paris – Institut Mines-Télécom (IMT) Nearly a decade ago, in 2012, the scientific world was enthralled by the achievements of deep learning. Three years later, this technique enabled the AlphaGo program to beat Go champions. And this frightened some people. Elon Musk, Stephen Hawking and Bill Gates were worried about an imminent end to the human race, […]
Despite the significant advances made by artificial intelligence, it still struggles to copy human intelligence. Artificial intelligence remains focused on performing tasks, without understanding the meaning of its actions, and its limitations are therefore evident in the event of a change of context or when the time comes to scale up. Jean-Louis Dessalles outlines these […]
Neural networks, predictive parsing, chatbots, data analysis, machine learning, etc. The 8th Fondation Mines-Télécom booklet provides a glossary of 23 terms to clarify some of the terms used in artificial intelligence (AI). [box type=”download” align=”” class=”” width=””]Click here to download the booklet on Artificial Intelligence (in French) [/box] AI winters – Moments in the history of […]
At Télécom Bretagne, Mai Nguyen is drawing on the way children learn in order to develop a new form of artificial intelligence. She is hoping to develop robots capable of adapting to their environment by imitating the curiosity humans have at the start of their lives. During the first years of life, humans develop […]
The brain, information science, and artificial intelligence: Vincent Gripon is focusing his research at Télécom Bretagne on these three areas. By developing models that explain how our cortex stores information, he intends to inspire new methods of unsupervised learning. On October 4, he will be presenting his research on the renewal of artificial intelligence at […]
The development of artificial intelligence raises many societal issues. How do we define ethics in this area? Armen Khatchatourov, a philosopher at Télécom École de Management and member of the IMT chair “Values and Policies of Personal Information”, observes and carefully analyzes the proposed answers to this question. One of his main concerns is the […]
For several years now, a team from IMT Atlantique has been working in cooperation with doctors from Brest University Hospital and a psychologist from Fondation Bon Sauveur in Bégard to improve early detection of mental disorders such as schizophrenia and to reduce suicidal relapses. The success of this approach based on digital tools lies in the robustness of the analysis and decision models the scientists have developed. It is also dependent on the quality of the health data, which must be correctly recorded by hospital staff.
Federated learning is a way to collaboratively train artificial intelligence models. It thus represents a possible solution to AI biases, often caused by training said models on samples that lack diversity. In the healthcare sector, these biases can lead to problems of equity between patients. The EQUIHid project explores how federated learning can help develop more equitable healthcare services.
