In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

Geospatial Information Systems (GIS) have transformed the way we capture, store, and analyse spatial data by integrating methods from computer science, statistics and geography. Central to GIS is the ...

The new method developed by UC San Diego engineers takes a smarter approach. Instead of retraining an entire model from ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new framework from researchers at The ...

The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...

Generally speaking, AI poisoning refers to the process of teaching an AI model wrong lessons on purpose. The goal is to ...