MathWorks Week: AI for Humans

Join MathWorks engineers and Northeastern faculty for these insightful seminars in Climate Change, Quantum Computing, and AI.

AI for Humans

Friday, March 4, 11 am – 12 pm
Register: MathWorksNUSymposiumAI.eventbrite.com

Fundamentals of AI
Neha Sardesai, MathWorks

How to apply machine learning and deep learning to images and signals. You’ll see how MATLAB® provides an environment to apply advanced techniques without requiring coding or experience in machine learning and deep learning.

Invariant Representation Learning for Human Pose Estimation withSmall Data
Sarah Ostadabbas, Professor, Dept. of Electrical and Computer Engineering

Descriptions of the state-of-the-art representation learning algorithms for visual perception tasks in the contexts of human pose estimation, especially when we are facing problems where data collection or labeling is expensive (i.e. Small Data domains).

Machine learning for retina image analysis for Retinopathy ofPrematurity (ROP) severity assessment.
Deniz Erdogmus, Professor, Dept. of Electrical and Computer Engineering

Discussion of the use of active learning, deep learning, and Siamese neural networks to develop deep neural network models for automated retina image analysis to diagnose and assess the severity of retinopathy of prematurity in babies born prematurely.