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104 search results for: machine learning

11

Shedding some light on black box algorithms

In recent decades, algorithms have become increasingly complex, particularly through the introduction of deep learning architectures. This has gone hand in hand with increasing difficulty in explaining their internal functioning, which has become an important issue, both legally and socially. Winston Maxwell, legal researcher, and Florence d’Alché-Buc, researcher in machine learning, who both work for Télécom Paris, describe the current challenges involved in the explainability of algorithms.

13

Chloé Clavel

Télécom Paris | Natural Language Processing, machine learning, affective computing, human-agent interaction

14

Do we still need structured information? (The answer is yes)

Large language models (LLM) are revolutionizing the relevance of natural language comprehension and text responses. Combining them with structured data for standardized organization only improves their accuracy. It is against this backdrop that Telecom Paris researcher Fabian Suchanek and his team are continuing to develop the YAGO knowledge base.

15

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.

16

A biocluster to boost innovation in cancer treatment

Paris Saclay Cancer Cluster offers a wide range of scientific and technical solutions to support the challenging field of research aimed at fighting cancer. Telecom Paris is invested in this ambitious initiative, which strengthens ties between those driving innovation in oncology and provides access to a combination of technological platforms, databases, expertise and training opportunities.

17

When hydropower goes digital

The Di-Hydro project involves digitizing hydropower plants, to operate them as sustainably as possible and better plan maintenance. IMT, in particular Télécom SudParis, is contributing to the development of a federated platform designed to facilitate secure data-exchange and decision-making, both at the level of each individual plant and collectively.

19

RE-S-EAU: a joint laboratory to improve water management

To meet people’s water needs, municipalities are equipped with complex systems. Véolia and IMT Mines Albi have teamed up to develop tools and methods for optimizing these networks. Water management consists of various activities which generate large amounts of data. To improve the operation of water networks, IMT Mines Albi and Véolia have teamed up […]

20

BAYFLEX: green electronics for health

The European BAYFLEX project aims to develop flexible, intelligent sensors capable of continuously collecting and processing biological signals before their on-chip classification. This ambitious project adds value by using “green” organic technologies, which require less energy to manufacture and use.