HKBU-RIKEN AIP Joint Workshop Spotlights on Cutting-Edge AI and Machine Learning Innovations

4 Jun 2024
HKBU-RIKEN AIP Joint Workshop convened leading academics and industry innovators to exchange cutting-edge research insights and collaborate on advancing artificial intelligence and machine learning.
Speakers and leading academics exchanging groundbreaking research insight during keynote sessions.
Participants actively engage in lively discussions, establishing new connections with prominent academic and industry innovators.

The two-day HKBU-RIKEN AIP Joint Workshop on Artificial Intelligence and Machine Learning has concluded with great success. The event was held on 23-24 May 2024 and brought together leading academics and innovators to exchange insights on the latest advancements in computer vision, data mining, health informatics, and natural language processing.

The workshop commenced with welcoming remarks from Professor Jianliang Xu, Head and Chair Professor of the Department, followed by a keynote by Professor Masashi Sugiyama, the Director of RIKEN-AIP and featured presentations by 28 leading researchers, providing in-depth insights across cutting-edge topics within the realms of Artificial Intelligence and Machine Learning.

Delving Into the field of medical research, Professor Pong Chi Yuen, Associate Dean of Science and Chair Professor of the Department, shed light on “Digital Pathology for Non-Alcoholic Fatty Liver Disease Diagnosis”, showcasing how digital pathology and AI technologies can be leveraged to analyse liver biopsy images. Furthermore, Professor Ichiro Takeuchi, Team Leader of RIKEN-AIP, shared on “Statistical Tests for AI-driven Hypotheses”, verifying the reliability of AI-generated hypotheses in medical diagnostic applications. The discussion shifted to explore the latest advancements in machine learning, in which Professor Michael Ng, the Dean of Science and Chair Professor of the Faculty of Science, delivered an enlightening presentation on “Tensor Representation in Data Science”, explored how low-rank tensor function representation can be utilised in image processing, machine learning, and computer graphics. Transitioning to the topic of AI reliability, Professor Jun Sakuma, Team Leader of RIKEN-AIP, presented on the “Development of AI and Increasing Complexity of Its Threat Models”, examining the growing complexity of AI threat models and methodologies in addressing security issues.

The Workshop continued to explore in-depth applications of artificial intelligence and machine learning across diverse academic disciplines and culminated with a closing remark by Dr. Bo Han. “This joint workshop provided an invaluable platform to exchange groundbreaking research work. The synergies forged at this event pave the way for technological advancements,” he concluded.

Jointly organised by Hong Kong Baptist University (HKBU) Department of Computer Science, RIKEN Center for Advanced Intelligence Project (AIP), and in collaboration with HKBU Research Cluster on Data Analytics & Artificial Intelligence, the Workshop is designed to foster dynamic discussions in the field of Artificial Intelligence and Machine Learning.

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