[LUM#22] Portraits of AI
Generative AI, symbolic AI, deep learning, neural networks... To better understand the contours of the unavoidable artificial intelligence, Lum invites you to dive into its methods, explore its scientific and social uses, and also examine its limitations. This 22nd issue of Lum was published in October 2024.
Artificial intelligence is now indispensable in research. Not only because it increases research capabilities by speeding up certain tasks, but also because it is itself a subject of research that the University of Montpellier has fully embraced.
This22nd issue of Lum magazine naturally offers you a better understanding of artificial intelligence. First, 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 asked. What are neural networks, machine learning, federated learning, and symbolic AI? In this section, Lum breaks down the basics of AI with the computer scientists and mathematicians who are at the heart of the reactor.
The second section looks at the uses of AI, which can be an unexpected ally in artistic creation, or an innovative tool for better understanding communication among mandrills. At UM, AI is also used to predict concrete cracking, detect fake news, and study glaciers.
Finally, the third part questions the social uses of AI, its contributions to debate, for example. It also questions its limitations, as it is a technology that consumes a lot of energy and data. This part also raises the pressing question of the place of AI in higher education and its proper use by students.
Contemplate these AI portraits while reading the 22nd issue of Lum magazine in its enhanced version, which gives you access to UM podcasts: A l’UM la science and Lumlu.
(If you would like to receive a paper copy ofLum, please send an email to the communications department with your contact details and mailbox number.)
Articles in this issue
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