Last week, I had the pleasure of attending the AMLD - Applied Machine Learning Days 2025 at EPFL. After organizing my notes, here are some of the most interesting insights, ideas and messages that stuck with me:
◆ The shifting perception of AI: Marcel Salathé highlighted how society has moved from "it just doesn’t work" to "it will surpass humans in a few years." A remarkable mentality shift!
◆ Investing in innovation: Isabelle Moret shared how Vaud is strategically supporting the startup ecosystem, fostering new opportunities for entrepreneurs.
◆ AI startup explosion: Nicolas Dessaigne discussed how ChatGPT ignited an AI startup boom, enabling companies in the AI space to scale from 0 to 10M$ ARR in just a year, which is 10x faster than before the AI revolution.
◆ XLSTMs vs. Transformers: Sepp Hochreiter explained how xLSTMs can outperform transformer-based models both in computational efficiency and energy consumption, without penalizing the performance.
◆ Driving GenAI adoption: Philip Yazdani emphasized that “lateral ambassadors” (peers who organically share knowledge) are the most effective catalysts for corporate adoption of GenAI tools.
◆ New AI security risks: Andrew Paverd shed light on the new vulnerabilities that GenAI models bring to the table: inference manipulation, model manipulation, and inferential information disclosure.
◆ Importance of simple ideas: Ivan Dokmanić showed how treating seismic wave phase as a probability distribution set new state-of-the-art records in phase detection using ML models.
◆ AI for scientific breakthroughs: Christian Lessig reflected on how, in 2020, AI was dismissed for weather forecasting, yet today, WeatherGenerator (https://lnkd.in/ewZiaHw3) not only outperforms traditional forecasting models in accuracy, but also in speed and compute efficiency.
◆ AI for good: Julia Gottfriedsen demonstrated how OroraTech leverages ML to quickly and reliably detect wildfires from space.
◆ AI in software security & automation: Mathias Payer gave a brilliant talk on the three pillars of software security: testing, mitigation, and compartmentalization.
This conference was an incredible reminder of how AI is evolving at an unprecedented pace, transforming industries, science, and our everyday lives. And I went back home with some homework:
◆ Include xLSTMs in the set of models to test next time I evaluate different modeling approaches for time series... Sepp Hochreiter did a very good job explaining the advantages of this new architecture (besides being an amazing speaker!)
◆ Take a deeper dive into WeatherGenerator... yes, I am a meteorology geek! (look at this https://lnkd.in/eYT_z-js for instance)
Did you attend AMLD25? If yes, is there anything you would add to my list of insights?
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