Cancer Research Inspires Improved Training Models for Natural Language Processing

Method to ensure privacy in natural language processing models for cancer and other PII data.

The use of artificial intelligence/machine learning (AI/ML) methods to analyze health information brings great promise for learning about disease but also great risk to patient privacy. New natural language processing deep learning model training methods developed by an Exascale Computing Project–funded team will help secure private textual information used for health care, homeland security, biomedical sciences, environmental, and social behavioral research.


Source: ECP

The post Cancer Research Inspires Improved Training Models for Natural Language Processing appeared first on HPCwire.

More Related Posts

Robotics Summit & Expo opens call for presentations for September event

Event seeks speakers and presentations around the design, development, manufacturing and delivery...

3D vision system enables DHL’s e-fulfillment robot

DHL Supply Chain has a broad innovation agenda for its warehouses, including...

InOrbit’s Data Backfill fills gaps in robot data

InOrbit announced the release of its newest robot operations (RobOps) tool Data...

Home

Highly Niched Headhunters Specialized in Physical AI/Robotics, High-Performance Computing, Unmanned/Autonomous Systems, Defense Technology and Energy.

Specializations

We recruit across complex engineering markets where understanding the technology is critical to finding the right talent.

How We Work

Overview of how PACE partners with teams: Our process, what clients get, and why PACE is different.

About Us

PACE’s story, values, and culture define how we operate and who we are.

News & Insights

Stay up to date on industry trends.

Contact

All the information needed for anyone interested in contacting us.