Real-world data (RWD) derived from electronic health records (EHRs) are often used to understand population-level relationships between patient characteristics and cancer outcomes. Machine learning ...

Machine learning algorithms are widely used for decision making in societally high-stakes settings from child welfare and criminal justice to healthcare and consumer lending. Recent history has ...

In the complexity of human cognition, the hippocampus stands as a central player, orchestrating more than just the storage of memories. It is a master of inference—a cognitive ability that allows us ...

The latest trends in software development from the Computer Weekly Application Developer Network. All brands and companies have some kind of secret sauce: something that truly sets them apart. But can ...

For our current edition of “Video Highlights” I’d like to offer this talk that will review a series of recent papers that develop new methods based on machine learning methods to approach problems of ...

SAN FRANCISCO – September 8, 2022 – Today, the open engineering consortium MLCommons announced results from MLPerf Inference v2.1, which analyzes the performance of inference — the application of a ...