Kansas lawmakers are debating a competitive imbalance in high school sports, where private schools win a disproportionate share of championships.

Every regulatory framework must choose a primary unit of risk -- model, use case, or impact produced -- to determine the starting point of regulatory oversight.

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...

Op-ed: New Jersey’s new law effectively banning e-bikes misses the mark on the challenges of electric micromobility. It’s also bad for the entire country.

Abstract: This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal ...

I have set a strategy in the problem classification node: {"contue_on_error": true, "default-value": [{"key": "class_name", "type": "string", "value": "convert to ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Morgan Wallen released his fourth studio album I'm the Problem on Friday (May 16) — a whopping 37 tracks. Not only is that a lot of songs, it's a lot of lyrics. Wallen put his pen to most of those ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...