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.

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

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

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

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.

Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

AI isn’t just a buzzword anymore, it’s the invisible hand reshaping industries at a speed that would have been science fiction a decade ago ...

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

Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...

Humanoid robots have come on leaps and bounds in recent times, and much is expected of the advanced machines in the coming ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...