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Can AI Actually Save the Climate?
Artificial intelligence is becoming a real tool in the climate fight: precise weather forecasts, optimized wind farms, satellite forest monitoring. But that same technology is driving a surge in data center energy and water use. AI is a multiplier, of solutions and of problems alike. This piece weighs both sides with primary sources from the IEA, IPCC, and peer-reviewed research, to show under what conditions AI can genuinely tip the climate balance.
Stéphane Guy
Sep 1610 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
Jul 18 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
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