LONDON, UNITED KINGDOM, February 19, 2026 /EINPresswire.com/ -- Brands are scrambling to understand the new currency of ...

GUANGZHOU CITY, GUANGDONG PROVINCE, CHINA, February 10, 2026 /EINPresswire.com/ -- Variable Frequency Drives (VFDs) ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

AI systems excel at pattern recognition, but taxes and investments demand more than patterns. A tax algorithm might correctly categorize income streams based on historical filings, yet it cannot ...

Competition law has long treated communication between competitors as the lifeblood of collusion. The more transparent rivals become about pricing intentions, the greater the risk of coordinated ...

No system — human or machine — will hit 70% against the spread over a meaningful sample size. Sports Insights ran the math ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Abstract: This work proposes the use of machine learning-based techniques for enhanced testability and performance calibration of an industrial 79-GHz power amplifier (PA) designed for an automotive ...

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...