T2-3. Atanasios Polydoros先生 Renata Ntelia先生 研究室訪問＆講演

立命館大学 びわこ・くさつキャンパス ローム記念館 5階 第1会議室
参加無料・事前申込み不要・対面のみ
8/5(火) 15:00～17:00

イギリスの大学の二人の先生が研究室訪問と講演を行いました。
以下は講演の詳細です。

Dr. Atanasios Polydoros

Short Bio

Dr. Athanasios Polydoros is a Senior Lecturer (Assistant Professor) at the School of Computer Science, University of Lincoln, member of the Lincoln Centre of Autonomous Systems and supervisor within the Centre of Doctoral Training in Agri-Food Robotics . Before that he was a postdoctoral researcher at the Swiss Federal Institute of Technology (EPFL) and the University of Innsbruck. He holds a M.Sc. in Artificial Intelligence from the University of Edinburgh and A Dip. Eng. In Production Engineering from Democritus University of Thrace. His research interests include robot learning from demonstration, machine learning and robot control. He has multiple publications in high-impact conferences and journals in the field and has participated in EU and nationally funded projects.

T1. 立命館大学 VLSIセンター(協賛) Vassilis Cutsuridis 准教授 講演会

Asso.Prof. Vassilis Cutsuridis / University of Lincoln, UK

https://staff.lincoln.ac.uk/dc36f34d-567d-4205-8ce2-42f28166ac0a

立命館大学 びわこ・くさつキャンパス ローム記念館5階大会議室
参加無料・事前申込み不要・対面のみ
7/9(火) 16:00～17:00
VLSIセンターの発表

Title : Neuromorphic associative memories

Abstract

Mathematical artificial neural network models known as associative memories first developed over 60 years ago worked by storing patterns of information via changes in the strengths of connections between simple computing units that mimicked the operation of neurons in the brain in a very simple way. Old memories were recalled when a noisy or partial version of a previously stored patterns was presented to the network. However, these devices were not very flexible. They had to be told when to store a pattern and when they were supposed to recall a memory. The types of information they could store were quite limited.