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99 search results for: machine learning

71

Claude Shannon, a legacy transcending digital technology

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Claude Shannon, a major scientist from the second half of the 20th century, marked his era with his communication theory. His work triggered a digital metamorphosis that today affects all levels of our societies. To celebrate what would have been Shannon’s 100th birthday this year, the Institut Henri Poincaré will pay tribute to the scientist with a conference on October 26 to 28. At this event, Olivier Rioul, a researcher at Télécom ParisTech, will provide insight into the identity of this pioneer in the communication field, and will present part of the legacy he left behind.

72

When information science assists artificial intelligence

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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 […]

73

TeraLab and La Poste have teamed up to fight package fraud

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As a testament to how valuable data is becoming for companies, La Poste-Colissimo has teamed up with researchers from IMT schools to fight fraud. Through the big data platform TeraLab, launched in 2014, this public-private partnership has made it possible to explore algorithmic solutions to optimize fraud detection. This research demonstrates how important modernization is […]

74

Octave: trustworthy and robust voice biometric authentication

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Surely, voice biometric authentication would be an easier alternative to the large amount of passwords that we use daily. One of the barriers to exploitation involves robustness to spoofing and challenging acoustic scenarios. In order to improve the reliability of voice biometric authentication systems, Nicholas Evans and his team at Eurecom are involved since June […]

75

Alexandre Gramfort translates our brain waves with algorithms

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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 […]

76

Stéphan Clémençon

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Télécom Paris | #bigdata #machinelearning [toggle title=”Learn more” state=”open”] What exactly is a scientific exhibition advisor? A discussion with Stephan Clémençon Terra Data: the exhibition demystifying data What is Machine Learning? Automated learning from data [/toggle]

77

shift89: using augmented reality to pass on industrial know-how

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Training plays a key role in industry, given productivity requirements and recruitment challenges facing the sector. The start-up shift89, incubated at IMT Starter and present at VivaTech 2023, uses augmented reality to help industrial companies disseminate expertise and know-how, and highlight the value of jobs that are sometimes looked down on. While there is much […]

78

Hospitals put to the test by shocks

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Benoît Demil, I-site Université Lille Nord Europe (ULNE) and Geoffrey Leuridan, IMT Atlantique – Institut Mines-Télécom The Covid-19 crisis has put lasting strain on the health care system, in France and around the world. Hospital staff have had to deal with increasing numbers of patients, often in challenging conditions in terms of equipment and space: […]

79

Is there intelligence in artificial intelligence?

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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, […]

80

Making algorithms understand what we are talking about

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Human language contains different types of information. We understand it all unconsciously, but explaining it systematically is much more difficult. The same is true for machines. The NoRDF Project Chair “Modeling and Extracting Complex Information from Natural Language Text” seeks to solve this problem: how can we teach algorithms to model and extract complex information from language? […]