Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Author Filippo Marchesani shows how algorithms shape every click and equips marketers with a practical, ethical lens for understanding digital behavior. COLORADO, CO, UNITED STATES, January 2, 2026 ...

Why management education must stop fearing artificial intelligence and start embracing it to think deeply, question sharply, ...

AI algorithms, trained on historical data reflecting men's sports dominance, may be gatekeeping sports content on social ...

Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

The truth is that most AI systems today are amoral. They maximize whatever objective we give them while outsourcing ethics to external filters. If a system prioritizes speed, it will chase speed even ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

My home is much better with well-applied artificial intelligence, making things safer and saving money. Here's where AI is finally proving itself.

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...