| 講演者 | Prof. Aldo Geuna Professor of Economic Policy at the Department of Cultures, Politics and Society, University of Torino Fellow of the Collegio Carlo Alberto |
|---|---|
| 日時 | 2025年(令和7年) 2月18日(火) 18時00分-19時30分 |
| 場所 | 東京大学本郷キャンパス 国際学術総合研究棟4階SMBCホール またはオンライン (Zoomウェビナー) |
| 主催 | 東京大学未来ビジョン研究センター 共催： 東京大学科学技術イノベーション政策の科学(STIG)教育プログラム 政策研究大学院大学科学技術イノベーション政策プログラム(GIST) |
| 言語 | 英語 (同時通訳はありません) |
| 参加費 | 無料（事前登録必要） |
詳細は、主催の東京大学未来ビジョン研究センターのページをご覧ください。
日本語：https://ifi.u-tokyo.ac.jp/event/19501/
英語：https://ifi.u-tokyo.ac.jp/en/event/13152/
概要
ディープ･ラーニング(DL)は近年の科学技術の発展において重要な役割を果たし、様々な分野で活用されている。本セミナーでは、DLの応用例として特に画像認識･物体検知の技術に着目し、同技術の研究開発におけるオープン･データの役割について議論する。具体的には、ラベル付き画像データセットであるCIFAR-10を取り上げ、定量的・定性的分析を通じて、CIFAR-10がDLの技術進歩を支えてきたこと、また機械学習に関する教育に貢献してきたこと、さらにCIFAR-10の利用が科学的インパクトに寄与してきたことを示し、その意義を考察する。
Abstract
We investigate the emergence of Deep Learning as a technoscientific field, emphasizing the role of open labeled datasets. Through qualitative and quantitative analyses, we evaluate the role of datasets like CIFAR-10 in advancing computer vision and object recognition, which are central to the Deep Learning revolution. Our findings highlight CIFAR-10's crucial role and enduring influence on the field, as well as its importance in teaching ML techniques. Results also indicate that dataset characteristics such as size, number of instances, and number of categories, were key factors. Econometric analysis confirms that CIFAR-10, a small-but-sufficiently-large open dataset, played a significant and lasting role in technological advancements and had a major function in the development of the early scientific literature as shown by citation metrics.
講演者経歴
Prof. Aldo Geuna is Professor of Economic Policy at the Department of Cultures, Politics and Society, University of Torino and Fellow of the Collegio Carlo Alberto. He obtained a PhD degree from the Department of Economics, Maastricht University. His previous appointments include Senior Lecturer at SPRU, University of Sussex, Senior Research Fellow at RSCAS - Robert Schuman Centre for Advanced Studies - European University Institute and Research Fellow at BETA, Université Louis Pasteur (Strasbourg), and at MERIT, Maastricht University. His research interests include Economics of Science, Economics of Innovation, Science and Technology Policy, Political Economy of Science and Technology, ICT and Internet Economics, Economic Growth and Development Economics. His core research area is the socio-economic analysis of university research behaviour and its links to innovation and economic growth. He has published numerous papers in prestigious journals such as Research Policy. He also published influential books in the field of economics of science and innovation, such as The Economics of Knowledge Production and Global Mobility of Research Scientists.
