Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...

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 ...

Venture capital powers innovation, yet investment decisions still favor the familiar. From the original design of the industry to the women reshaping its future, the patterns that drive investment may ...

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...