Events

Meet the Rhino Team
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San Jose, CA
March 17, 2025

NVIDIA GTC 2025

Virtual
February 19, 2025

Accelerating Secure Cross-Site Data Collaboration with Federated Computing

Santa Clara, CA
February 5, 2025

Precision Medicine World Conference 2025

Stevens Institute of Technology, Hoboken, New Jersey, USA
July 31, 2023

16th International Conference on Brain Informatics

San Jose Convention Center, San Jose, California, USA
March 18, 2024

NVIDIA GTC 2024: Healthcare Is Adopting Generative AI, Becoming One of the Largest Tech Industries [S62604]

The Largest Cross-Sector Innovation Conference, Indianapolis, Indiana, USA
August 30, 2023

Rally 2023: Generative AI in Healthcare and Drug Discovery panel

Suntec Singapore Convention & Exhibition Centre, Singapore
May 3, 2024

ISMRM & ISMRT Annual Meeting & Exhibition in Singapore: Federated Training of Deep Learning Models for Prostate Cancer Segmentation on MRI: A Simulation Study

YouTube Video
August 15, 2023

Emory University Researchers Present Federated Learning for Prostate Cancer Detection on MRI

The Shilla Seoul, Seoul, Korea
February 27, 2024

AIRIS2024: Use of AI in Medical Product Development organized by the US FDA and Ministry of Food and Drug Safety of the Republic of Korea

David Intercontinental Hotel in Tel Aviv, Israel
June 12, 2023

Sheba ARC Summit 2023

New York, New York
June 21, 2023

Large Language Models & The Healthtech Opportunity

Online Webinar Hosted by BrightTALK
April 24, 2023

Visualizing Health: Clinical Data and AI for Insights in Life Sciences

Online Summit Hosted by Ai4 Healthcare
May 4, 2006

Federated Learning with Rhino Health

Recorded at the HIMSS Conference, VMware Booth
March 15, 2022

American College of Radiology & Rhino Health – Scaling AI Federated Learning via NVIDIA AI Enterprise

Online Virtual Event Hosted by Lawrence Livermore National Laboratory (LLNL)
August 9, 2012

Utilizing Disparate, Diverse Datasets Via Federated Learning

Santa Clara Convention Center, Santa Clara, CA
January 25, 2022

Next-Generation Data Sharing: Discoverable, Accessible, Interoperable Data