Events

Dr. Mei CHEN, Principal Research Manager at Microsoft Cloud & AI will provide an in-depth overview of Microsoft's research in video understanding, covering trimmed to untrimmed video analysis, offline to online setting, few-shot to weakly supervised learning, and unimodal to multimodal analysis.

ChatGPT has taken the world by storm in recent months, generating a spark of interest as well as trepidation in many. Join us in this open discussion where we will explore the potential of using ChatGPT to conduct searches for literature & systematic review.

Since the launch of ChatGPT in November 2022, Generative AI is now all the rage, with both doomsaying and optimism. But what is it? What is it good (or not) for the workplace, and how might it be bad (or not) for education? It’s time for a chat!

Welcome to the world of ChatGPT! Learn about how it works, the latest advancements, and its potential implications on society in the future.

In this session, our panel of experts will discuss the potential benefits and risks of using ChatGPT, AI technologies in healthcare settings, guidelines and principles for the responsible development and deployment of AI in healthcare, necessary to keep pace with the advancements in AI technology while balancing their implications in healthcare.

In this talk, Dr. Paul DENNY from the University of Auckland will present recent findings from work exploring the impact of LLMs in computing education, consider design implications for educational tools, and propose how LLMs can be leveraged to improve existing learning activities.

In this talk, chaired by Dr Harold SOH (NUS School of Computing), Prof Scott SCANNER (University of Toronto) will begin by discussing the need for personalised recommendation in conversational AI assistants and the fundamental challenges that make this problem difficult -- both in general and in existing conversational AI architectures.

Recent foundation models (e.g., DALL-E, CLIP, GPT-3, ChatGPT, ...) broke new ground and brought excitement in natural language understanding, computer vision, and various other domains. Would foundation models enable intelligent decision making for robots operating in the physical world and how?