[LUM#22] AI Portraits
Generative AI, symbolic AI, deep learning, neural networks... To better define the contours of the inevitable artificial intelligence, Lum invites you to delve into its methods, to approach the shore of its scientific and social uses, but also to approach its limits. This issue 22 of Lum was published in October 2024.
Artificial intelligence is now an essential part of research. Not only because it enhances research capabilities by speeding up certain tasks, but also because it is itself an object of research that the University of Montpellier has fully embraced.
In this 22nd issue of Lum magazine, we'd like to give you a better understanding of artificial intelligence. First of all, in the first part devoted to methods, we explain what AI is, a question to which there are as many answers as there are people. What is a neural network, machine learning, federated learning, symbolic AI? In this section, Lum deciphers the ABCs of AI with the computer scientists and mathematicians at the heart of the reactor.
The second section looks at the uses of AI, which can prove an unexpected ally in artistic creation, or an innovative tool for better understanding communication in mandrills. At the UM, AI is also used to predict concrete cracking, detect fake news and study glaciers.
Finally, the third part looks at the social uses of AI, and its contribution to debate, for example. Its limits, too, as a technology that consumes a lot of energy and data. This part also raises the pressing question of AI's place in higher education and its proper use by students.
Contemplate these AI portraits as you read this 22nd issue of Lum magazine, in its expanded version, with access to the UM podcasts: A l'UM la science and Lumlu.
(If you would like to receive a paper copy of Lum, please send an e-mail to the communications department, specifying your contact details and your mailbox.)
Articles in this issue
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