Thailand Regional Event - Machine Learning and Digital Transformation
Details
This 2 hour live event with machine learning experts is part of the Digital Developer Conference Data & AI http://ibm.biz/devcon-ai
About this event: Thailand Regional Event - Machine Learning and Digital Transformation
This session on machine learning will include :
Dr Jonathan Hoyin Chan from King Mongkut's University of Technology Thonburi (KMUTT) on Machine learning with healthcare and medical images (50 minutes)
Dr. Thepchai Supnithi on Research on Thai NLP from NECTEC perspectives (50 minutes)
Final Panel: Trends in ML - Dr Jonathan Hoyin Chan(KMUTT), Dr Thepchai Supnithi (NECTEC ), Tanut Karnwai (IBM) with Q&A from Audience (20 minutes)
More Information:
Machine learning with healthcare and medical images
Rapid developments in technology have given rise to readily-deployment of machine learning techniques that underlies the current digital transformation growth. One area of particular interest in the new normal driven by the pandemic is in healthcare and medical image recognition. This talk will provide an overview on the inherently imbalanced nature of the such data, the development of a basic Convolutional Neural Network (CNN) and the use of transfer learning concepts, with case studies covering both medical and real-world images.
About the Main Conference:
Have an interest in the latest from IBM Research in the AI space? Want to get your hands on Debater and Data Quality AI APIs? What about thought-provoking discussion on trustworthy AI? Then this is the conference for you. Our goal is to educate, excite, and illuminate with sessions dedicated to automated and federated machine learning, data fabric and DataOps, ModelOps, deep learning, and natural language processing (NLP). Plus, highlight open source technologies and career experiences—so whether you're a beginner or an expert—you can gain interesting perspectives for your next career move or community contribution
Thailand Regional Event - Machine Learning and Digital Transformation