There’s a lot of talk around the recent rise of machine learning (ML) and the promise it holds for oncology. Machine learning is quickly becoming a vital component of every-day medical testing, almost ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Broad partnerships and advanced data analysis could be key to helping states like Minnesota tackle their modern cybersecurity challenges, said speakers during the Minnesota Virtual Digital Government ...

A new study published in Nature Partner Journals Digital Medicine revealed the barriers to machine learning adoption within clinics; however, the study suggests that clinicians can build trust with ...

To overcome AI blindness and identify gaps and biases, businesses must build a data foundation that is instead complete, ...

Whether it’s diagnosing patients or driving cars, we want to know whether we can trust a person before assigning them a sensitive task. In the human world, we have different ways to establish and ...

How Can We Trust Machine Learning? Exploration, Evaluation and Explanation for ML Models: Machine learning technologies are at the core of a new generation of intelligent applications that ...

Artificial intelligence (AI) and machine learning provide metadata and require metadata to work. The ideas of AI and machine learning are no longer science fiction, let alone fiction. They have become ...

Researchers find the explanation methods designed to help users determine whether to trust a machine-learning model's predictions can perpetuate biases and lead to less accurate predictions for people ...

BURLINGTON, Mass.--(BUSINESS WIRE)--BAE Systems recently delivered software to the Defense Advanced Research Projects Agency (DARPA) as part of a contract under the agency’s Competency-Aware Machine ...

Opinions expressed by Digital Journal contributors are their own. While artificial intelligence and machine learning are helping companies grow and cut costs by up to 30%, there’s still a big trust ...