Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Lake County Record-Bee

Machine learning helps wildfire forecasts

With peak wildfire season underway in California, PG & E’s Chief Meteorologist Scott Stenfel held a virtual Wildfire Season ...

Vector Institute releases UnBias-Plus, a free, open-source AI tool to detect and rewrite bias in text

The Vector Institute today launched UnBias-Plus , a free, open-source AI tool built by Vector's AI Safety research scientists that helps detect, explain, and rewrite biased language in written content ...
Onrec

How Data Annotation Powers AI Behind the Scenes

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

How AI And Real-World Data Could Help Turn Personal Medicine Into Reality

Well before the term “personalized medicine” first appeared, the notion of healthcare tailored to the individual loomed on ...
IEEE

Weighted Contrastive Learning With Hard Negative Mining for Positive and Unlabeled Learning

Abstract: Positive and unlabeled (PU) learning aims to train a suitable classifier simply based on a set of positive data and unlabeled data. The state-of-the-art methods usually formulate PU learning ...
IEEE

Multiview Classification Through Learning From Interval-Valued Data

Abstract: The classification problem concerning crisp-valued data has been well resolved. However, interval-valued data, where all of the observations’ features are described by intervals, are also a ...