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

Humanoid study group launches survey on human-robot interaction

The group aims to complete its market research and final report within...

Why cobots hold the key to unlocking operational efficiency in large manufacturers

Since the inception of mechanization and mass-production processes at the start of...

Festo advances robot programming with AI

Production, warehouse, shipping – where goods are produced, stored, sorted or packed,...

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.