Gastroenterology and Artificial Intelligence: 2nd Annual Artificial Intelligence Summit | October 2020-The World of ML and AI: A Primer of Next Generation Technology

Video Transcription

Video Summary

In this video, Anima Anandkumar, a Professor at Caltech and Director of ML Research at NVIDIA, discusses the efforts being made to push AI into healthcare applications. She highlights the use of deep learning in medical imaging research, aiming to augment and speed up the work of radiologists. Anandkumar also discusses the trend of moving more intelligence to the edge, such as using AI in autonomous cars, robots, and medical scanners, and connecting these devices through the Internet of Medical Things. She mentions NVIDIA Clara, a platform that enables the use of AI in healthcare and has applications in medical imaging, genomic analysis, drug discovery, and comprehensive use of AI in hospitals. Anandkumar emphasizes the importance of GPU optimization in healthcare, as it can save time in both training and deployment of AI models. She also mentions the use of federated learning for preserving privacy while still utilizing powerful AI models in healthcare settings. In addition to healthcare, Anandkumar briefly discusses the application of AI in other fields, such as fighting coronavirus, drug discovery, robotics, and quantum calculations. She concludes by encouraging viewers to explore NVIDIA Clara and discusses the use of deep learning models for recognizing surgical gestures and speeding up drug discovery through the computation of quantum energies.

Asset Subtitle

Anima Anandkumar, PhD

Keywords

AI in healthcare

deep learning

medical imaging research

edge intelligence

NVIDIA Clara

GPU optimization