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

Under the award from a leading U.S. Defense Prime Contractor, Forterra, Safe Pro will integrate and test its proprietary advanced computer vision and machine learning AI pipeline onboard autonomous ...

Abstract: Data clustering is a fundamental machine learning task that seeks to categorize a dataset into homogeneous groups. However, real data usually contain noise, which poses significant ...

We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...

Abstract: K-means is one of the most simple and popular clustering algorithms, which implemented as a standard clustering method in most of machine learning researches. The goal of K-means clustering ...

The IRS has fundamentally changed how it enforces tax compliance. As of June 2025, the agency operates 126 active AI use cases, up from just 10 in August 2022, spanning audit sele ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Semiconductor industry overview highlighting Taiwan Semiconductor Manufacturing and AI hardware trends within the S&P 500 Index , covering processors, memory, and manufacturing.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

LogAI is a one-stop open source library for log analytics and intelligence. LogAI supports various log analytics and log intelligence tasks such as log summarization, log clustering, log anomaly ...

SINGAPORE – The share of families with monthly incomes of at least $30,000 has almost doubled in the past five years, with about one in seven households earning this amount in 2025. In 2025, 13.4 per ...