On June 17, 2026, the National Association of Insurance Commissioners (NAIC) publicly disclosed that it had identified unauthorized access to ...

As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.

OpenAI is staggering GPT-5.6 (Sol, Terra, Luna) at U.S. government request, citing improved cybersecurity safeguards and ...

This is the official project repository for Tent: Fully-Test Time Adaptation by Entropy Minimization by Dequan Wang*, Evan Shelhamer*, Shaoteng Liu, Bruno Olshausen, and Trevor Darrell (ICLR 2021, ...

Abstract: Distance metric learning (DML) has received increasing attention in recent years. In this paper, we propose a constrained empirical risk minimization framework for DML. This framework ...

The algorithm has already been tested on images from the Subaru telescope and will now be used on the Vera C. Rubin Observatory once science results begin to flood in.

This project implements Marginal Entropy Minimization with One Test Point (MEMO) for domain adaptation in image classification. It is based on the paper "MEMO: Test Time Robustness via Adaptation and ...

Static Data Masking (SDM): Masks data at rest by creating a masked copy of a production database for testing or analytics. Dynamic Data Masking (DDM): Masks data on the fly by altering it as it is ...

Collecting data allows businesses to glean essential information for improving processes, reducing costs, better serving customers and more. However, it also comes with risk: Every organization that ...

Data minimization — a longstanding bedrock principle of privacy and data protection — has quietly become one of the most contentious issues in U.S. legislative privacy proposals. Policymakers have ...

It can feel like something of a catch-22. In the interest of good privacy practices, companies limit or avoid the collection of sensitive data, such as race or ethnicity, but then realize that without ...

Medical image segmentation is an important tool for doctors to accurately analyze the volume of brain tissue and lesions, which is important for the correct diagnosis of brain diseases. However, ...