SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:

We'll discuss the Clara Platform, which is designed to bring NVIDIA technology and expertise in high performance computing, artificial intelligence, and photorealistic rendering to the medical-imaging industry. Our talk will focus on how developers from industry and institutions are leveraging the platform to integrate artificial intelligence into hospitals to bend the cost curve and improve patient outcomes.

We'll discuss the Clara Platform, which is designed to bring NVIDIA technology and expertise in high performance computing, artificial intelligence, and photorealistic rendering to the medical-imaging industry. Our talk will focus on how developers from industry and institutions are leveraging the platform to integrate artificial intelligence into hospitals to bend the cost curve and improve patient outcomes.

  Back
 
Topics:
Medical Imaging & Radiology, AI in Healthcare, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9994
Streaming:
Download:
Share:
 
Abstract:
The development and deployment of machine learning models is fraught with complexity. These challenges are exacerbated in a clinical setting where data volume is low, instances can be large, annotation requires domain expertise, and deployment often involves integration into black-box systems. In this talk, we will discuss how these challenges affect the process of applying machine learning to medical imaging and highlight solutions which enable the integration of ML into a radiology reading room.
The development and deployment of machine learning models is fraught with complexity. These challenges are exacerbated in a clinical setting where data volume is low, instances can be large, annotation requires domain expertise, and deployment often involves integration into black-box systems. In this talk, we will discuss how these challenges affect the process of applying machine learning to medical imaging and highlight solutions which enable the integration of ML into a radiology reading room.  Back
 
Topics:
AI in Healthcare, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8157
Streaming:
Share:
 
Abstract:

This customer panel brings together A.I. implementers who have deployed deep learning at scale using NVIDIA DGX Systems. We'll focus on specific technical challenges we faced, solution design considerations, and best practices learned from implementing our respective solutions. Attendees will gain insights such as: 1) how to set up your deep learning project for success by matching the right hardware and software platform options to your use case and operational needs; 2) how to design your architecture to overcome unnecessary bottlenecks that inhibit scalable training performance; and 3) how to build an end-to-end deep learning workflow that enables productive experimentation, training at scale, and model refinement.

This customer panel brings together A.I. implementers who have deployed deep learning at scale using NVIDIA DGX Systems. We'll focus on specific technical challenges we faced, solution design considerations, and best practices learned from implementing our respective solutions. Attendees will gain insights such as: 1) how to set up your deep learning project for success by matching the right hardware and software platform options to your use case and operational needs; 2) how to design your architecture to overcome unnecessary bottlenecks that inhibit scalable training performance; and 3) how to build an end-to-end deep learning workflow that enables productive experimentation, training at scale, and model refinement.

  Back
 
Topics:
AI Application, Deployment & Inference, AI & Deep Learning Business Track (High Level), Data Center & Cloud Infrastructure, HPC and Supercomputing
Type:
Panel
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8194
Streaming:
Download:
Share: