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151 search results for: "Artificial Intelligence"

11

Simplicity theory: teaching relevance to artificial intelligences

The simplicity theory is founded on humans’ sensitivity to variations in complexity. Something that seems overly simple suddenly becomes interesting. This concept, which was developed by Jean-Louis Dessalles from Télécom ParisTech, challenges Shannon’s probabilistic method for describing certain information. Using this new approach, he can explain events that are otherwise inexplicable, such as creativity, decision-making, […]

12

Artificial Intelligence: learning driven by children’s curiosity

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 […]

13

When information science assists artificial intelligence

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 […]

14

Artificial Intelligence: the complex question of ethics

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 […]

15

Augmented internal audits and digital transformation challenges

Digital technology is significantly changing auditing practices and the internal auditor profession. Among these new solutions, “augmented” internal audits are becoming increasingly popular. Nabyla Daidj, a research professor in strategy and management information systems at Institut Mines-Télécom Business School and head of the Information Systems Audit and Consulting (ACSI) major, explains how augmented internal audits work.

16

Protecting sensitive sites: AI in radar systems

Radar systems are safe and durable, and used for both detection and surveillance. However, they deliver signals, not images, which can be difficult to interpret. Using artificial intelligence to complement current algorithms offers a technological solution to this problem. The RadaR-IO laboratory, shared by IMT Mines Albi and the company EPSI, is looking to develop and industrialize this solution.

17

When assembly lines become circular

The recycling market is expanding, even to assembly plants! Using a software ecosystem, the European ALICIA project aims to promote the circulation of production resources. Scientists from IMT Atlantique involved in the project are working to develop a platform to optimize production lines, by minimizing machine changeovers and promoting the use of second-hand resources.

18

High-level video surveillance for the Paris 2024 Olympic and Paralympic Games

Security methods for the Paris 2024 Olympic and Paralympic Games are relying on artificial intelligence, specifically algorithmic video surveillance. However, this technology poses a number of issues, particularly in terms of personal data protection. Claudine Guerrier, legal researcher at Institut Mines-Télécom Business School, tells us more about video surveillance using artificial intelligence.

19

Behind the prompts: the unsuspected risks of generative AI

The EU recently adopted the AI Act, which establishes a legal framework for the safe and ethical use of AI. But what about generative AI? At Institut Mines-Télécom Business School, a researcher and her PhD student are studying the risks associated with generative AI, particularly ChatGPT, based on real-life incidents. Their work highlights major ethical issues and shows the emergence of multifaceted risks associated with the new uses of this revolutionary technology.

20

The cruel dilemma of health data in the ai era: privacy or equity?

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.