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THE 360°AI BLOG
AI by 2040: What the World Will Really Look Like in the Next 15 Years
D'ici 2040, l'intelligence artificielle ne sera plus une option technologique, elle sera l'infrastructure de presque tout. Emplois transformés, médecine prédictive, éducation personnalisée, guerre froide technologique USA-Chine, hypothèse AGI : cet article démêle les projections sérieuses des spéculations. S'appuyant sur les études du WEF, McKinsey et l'INSERM, il dessine un horizon réaliste, ni utopique ni catastrophiste, et pose la vraie question : avons-nous les institutio
Stéphane Guy
Jun 610 min read
Deep Learning Explained: Principles, Neural Networks, and Real-World AI Applications
Deep learning is the engine behind the most capable AI systems today, from medical diagnostics to self-driving vehicles. By stacking artificial neural networks that mirror the structure of the human brain, it enables AI to learn from massive datasets. This guide breaks down its core principles, maps real-world applications across healthcare or transportation, and outlines the key trade-offs between raw performance and energy cost, plus where the next generation of deep learni
Stéphane Guy
May 256 min read
The History of Artificial Intelligence: From Ancient Philosophy to the Age of ChatGPT
AI didn't begin with ChatGPT or even with computers. Its roots stretch back to ancient philosophers attempting to systematize human thought, through Leibniz's 17th-century combinatorics, and the landmark 1943 paper by McCulloch and Pitts. The field was formally born at the 1956 Dartmouth Conference, survived a winter in the 1970s, and proved itself with Deep Blue's 1997 chess victory. Today, AI is embedded in every facet of modern life, and its most consequential chapters are
Stéphane Guy
May 2310 min read
The Essential AI Glossary: Every Key Term You Need to Know
Artificial intelligence has its own language, and not speaking it puts you at a disadvantage. This glossary cuts through the jargon: prompts, neural networks, generative AI, supervised vs. unsupervised learning, Big Data, federated learning, and more. Each term is explained with precision, practical context, and real-world examples. Whether you're a developer, product manager, or curious professional, this is the reference guide you'll actually return to.
Stéphane Guy
Mar 85 min read
Artificial Neural Networks: What They Are and How They Actually Work
Behind ChatGPT, facial recognition, and autonomous vehicles lie artificial neural networks, inspired by the brain but grounded in advanced mathematics. They learn from data to recognise, predict, and generate. From their origins in 1943 to the deep learning revolution of 2012, this article unpacks how they work, their real-world applications, and their ethical and environmental limits.
Stéphane Guy
Feb 278 min read
Transfer Learning: How AI Stops Relearning Everything From Scratch
Transfer Learning allows an AI to reuse knowledge from a pretrained model to tackle new problems. Less data, less compute, better performance: it powers GPT, BERT, and medical imaging AI. But it also inherits biases, risks negative transfer, and creates dependency on a handful of tech giants. A foundational mechanism for understanding how modern AI actually works.
Stéphane Guy
Feb 278 min read
What is artificial intelligence?
Vous êtes-vous déjà demandé en quoi consiste ces programmes ? Pour cela, il est utile de se poser une question simple : c'est quoi une IA ?
Stéphane Guy
Dec 4, 20256 min read
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