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53 search results for: signal processing

21

Digital transition: the music industry reviews its progress

The music industry – the sector hit hardest by digitization – now seems to have completed the transformation that was initiated by digital technology. With the rise of streaming music, there has been a shift in the balance of power. Producers now look for revenue from sources other than record sales, and algorithms constitute the […]

22

The brain: the mechanics of convolutions

Why do our brains have so many folds? The answer to this question is far from simple. In fact, the answer only came at the beginning of 2016, from a team of researchers including members from Harvard University and Télécom Bretagne. Unlike some of the theories previously proposed, this answer has nothing to do with […]

23

What is 5G?

5G is the future network that will allow us to communicate wirelessly. How will it work? When will it be available for users? With the Mobile World Congress in full swing in Barcelona, we are launching our new “What is…?” series with Frédéric Guilloud, Research Professor at IMT Atlantique, who answers our questions about 5G. […]

24

Alexandre Gramfort translates our brain waves with algorithms

Alexandre Gramfort is a young researcher at Télécom ParisTech and just received an ERC starting grant. This prestigious European prize and support acknowledges his research efforts in signal processing and machine learning. For the last eight years, Alexandre Gramfort has worked on mathematical tools to better extract, analyze and visualize brain signals, essentially using electroencephalograms […]

25

Precision measurement and characterization

Yaneck Gottesman, a metrologist and specialist in the analysis and characterization of components, contributes to the development of the Optics and Photonics laboratory at Télécom SudParis. The lab is equipped with innovative high-performance electronic instruments for measurement, with multiple applications covering the fields of healthcare, telecoms and security.   Why does a component stop working? […]

26

Augmented Reality and Surgery: helping surgeons achieve ever-greater accuracy

Questions of health, well-being and personal independence are central preoccupations of all modern societies. Age-related illnesses, and our ageing populations, pose a number of social and economic challenges. Over the last two decades, information sciences and technologies have helped us rise to these challenges. Concepts such as distance health care and online treatment are now […]

27

An ocean of environmental data to be processed

If nowadays we can detect icebergs along the route of the Vendée Globe, track and identify ships causing pollution from space, and define ecological corridors and reserves for the protection of animal species, it is largely thanks to stations which receive and process satellite images in real time, and the progress made in the last […]

28

Elsa Dupraz, 2024 IMT-Academy of Science Young Scientist Prize

Channel coding is the focus of Elsa Dupraz’s research, a key process for improving information transmission in telecommunications. While the technique’s effectiveness in this field is well known, the researcher is also exploring novel applications, such as data compression and DNA storage. Her research, at the intersection between several disciplines, has fostered multiple collaborations and earned her the 2024 IMT-Academy of Science Young Scientist Prize.

29

What are neural networks?

Neural networks are AI models designed by machine learning. They are inspired by the workings of the human brain and allow machines to carry out different tasks autonomously. Using large quantities of data as examples, they can be trained in image recognition or text analysis. Beyond their predictive performance, a number of scientific challenges still need to be resolved, concerning the understanding of their limits, reliability of their use, and their acceptability, in addition to ethical issues such as energy consumption. Stephan Clémençon, a researcher in artificial intelligence at Télécom Paris, explains more.

30

StressID, a multimodal database for detecting stress

StressID is a multimodal database for identifying stress. The project represents one of the largest collections of audio, video and physiological expressions of stress collected from numerous participants. It aims to provide an experimental protocol that is simple to reproduce. Maria Zuluaga, a researcher in the Data Science department at EURECOM, and her PhD student Hava Chaptoukaev tell us all about StressID.