Michael Zephyr

Michael Zephyr is a developer evangelist on the NVIDIA Clara team and is responsible for helping design the developer experience for all NVIDIA Clara products. He develops and presents content through blog posts, webinars, and conferences that help developers quickly get started. Michael received his master's in computer science specializing in machine learning and interactive intelligence from Georgia Tech University.

Posts by Michael Zephyr

Graphic showing logos of MONAI Application Packages + HELM
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MONAI Leaps Forward with AutoML-Powered Model Development and Cloud-Native Deployments

Project MONAI continues to expand its end-to-end workflow with new releases and a new component called MONAI Deploy Inference Service. 3 MIN READ
Graphic of MONIA workflow.
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MONAI Bridges the Gap from Innovative Research to Clinical Production

MONAI announces new releases and deployment framework for medical imaging. 3 MIN READ
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Join the Virtual MONAI Bootcamp, Sept. 22-24

Apply for the Sept. 22-24 MONAI virtual bootcamp featuring presentations, hands-on labs, and a mini-challenge day. 2 MIN READ
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Federated Learning with Homomorphic Encryption

In NVIDIA Clara Train 4.0, we added homomorphic encryption (HE) tools for federated learning (FL). HE enables you to compute data while the data is still… 5 MIN READ
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NVIDIA Clara AGX SDK 3.0 Goes Public and Includes New Application Container

The Clara AGX SDK runs on the NVIDIA Jetson and Clara AGX platform and provides developers with capabilities to build end-to-end streaming workflows for medical imaging. 2 MIN READ
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Clara Train 4.0 Upgrades to MONAI and supports FL with Homomorphic Encryption

NVIDIA recently released Clara Train 4.0, an application framework for medical imaging that includes pre-trained models, AI-Assisted Annotation, AutoML, and Federated Learning. In this 4.0 release, there are three new features to help get you started training quicker. 2 MIN READ