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セミナーのお知らせ: Emanuele Nardone氏 (Postdoctoral researcher, University of Eastern Finland)
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日時：２０２６年１１月１０日（火）13:30～15:00
場所：東京大学理学部1号館3階340号室
講演者：Emanuele Nardone氏
(Postdoctoral researcher, University of Eastern Finland)
講演題目:What Does It Mean to Do Research on AI?
From Machine Learning to AI Agents
Abstract
【Abstract】
The term Artificial Intelligence (AI) covers a very broad range of systems these days. We have hand-coded rule systems, classifiers that can sort spectra, chatbots, and agents that can plan tasks in multiple steps. The seminar begins with one question: what does a machine learn from data? It then takes you through the field from rule-based systems to machine learning (ML), deep neural networks, large language models (LLMs), and tool-using agents. It also looks at the limits of these systems, for instance, the way an LLM can invent a fact or a reference.
AI is not the same thing as research on AI. A model can achieve very high accuracy on its test data for the wrong reason. It may have simply learned the instrument or the measurement day rather than the sample. Research into AI is about how to detect such errors. The seminar reduces this to four checks: was the model tested on data it had never seen before? Did information from the test set leak into the training set? How good is each individual prediction? Did the model actually learn the real phenomenon or just a shortcut?
The seminar looks at this through a number of real-world case studies. At the University of Cassino and Southern Lazio, ML has been used to analyze handwriting to screen for neurodegenerative disease (particularly Alzheimer’s disease). Evolutionary algorithms are used to select the most informative features, and conformal prediction is used to quantify the trust we can place in each prediction. At the University of Eastern Finland, the current case studies focus on Raman and THz spectra, fluorescence videos of CNQD particles, and TEM images. That covers case studies on real data from medicine and photonics.
使用言語：English/英語
紹介教員：小西 邦昭
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