Can Medtech Manufacturing Benefit from Deep Learning?

Given medtech’s needs for high levels of quality and precision, machine learning could be put to good use in medical device manufacturing. One particular type of machine learning called “deep learning” could offer particular benefit as it could enable machine vision systems to learn how to recognize and respond to defects much like a human could, according to Bhaskar Ramakrishnan, technical sales engineer, DWFritz Automation. Ramakrishnan will be speaking about potential manufacturing roles for deep learning in the MD&M Minneapolis October 31 presentation, “Deep Learning Machine Vision for Critical Quality Control.” He will be joined by co-speaker John Petry, marketing director, vision software, Cognex. Topics to be covered include: Introduction to deep learning. Applications of deep learning in the medical field. Best practices for factory deployment. A case study. MD+DI asked Ramakrishnan and Petry a few questions about deep learning and their upcoming presentation. MD+DI: Can you define deep learning? Does it involve machine learning or artificial intelligence? Ramakrishnan: Artificial intelligence relies on a variety of methods, including machine learning and deep learning, to learn from patterns found in data. Deep learning is a subfield of machine learning that mimics the neural networks in the human brain by creating an artificial neural network (ANN). Like the human brain sol...
Source: MDDI - Category: Medical Devices Authors: Tags: MD & M Minneapolis Assembly and Automation Source Type: news