
Amir Sadovnik, a researcher in robust machine learning, recently shared how he got into the field of data science and how detecting when data has been tampered with can lead to better results from artificial intelligence models.
Amir Sadovnik, a researcher in robust machine learning, recently shared how he got into the field of data science and how detecting when data has been tampered with can lead to better results from artificial intelligence models.
Ken Dayman is part of a group of nonproliferation data scientists working to develop novel data analytic methods and solutions for the unique combination of problems pervasive in national security.
Sreelekha Guggilam is a research associate for machine learning with the Geospatial Science and Human Geography group at ORNL. She recently shared how she uses data-driven information to assist with national security challenges.
ORNL took home the top prize in two categories at the inaugural in November 2022, including the Best Geospatial Science Program Award
Erik Kabela can’t control the weather, but that doesn’t stop people from asking him to.
Protecting data is an active choice for people who want to benefit from machine learning technology, such as improved Google services, while protecting their information from unintentional disclosures.
Vandy Tombs has always been intentionally protective of her personal data.