The predominant AI development method. In the 1980s, AI systems were programmed more like regular data processing applications (if-then-else rules). Today, AI systems use machine learning to "learn by ...

In today’s tech-driven world, terms like Machine Learning (ML) and Deep Learning (DL) are everywhere, from social media recommendations to self-driving cars. But what do they actually mean, and how ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent ...

Reinforcement learning algorithms help AI reach goals by rewarding desirable actions. Real-world applications, like healthcare, can benefit from reinforcement learning's adaptability. Initial setup ...

Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense As hard as it is for data scientists to ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

Clear and trustworthy information is essential for people who are ill. People with cancer, in particular, are targeted with vast quantities of patient education material, but of variable quality.