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 ...

An AI machine learning architecture employed in "neural networks." Emerging in the 2010s, deep learning is used in all forms of AI such as computer vision, self-driving cars, natural language ...

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

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 ...

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 ...

The predictive ability of cough sound algorithms shows promise in detecting acute respiratory diseases, study finds. A machine learning algorithm for detecting and classifying acute respiratory ...

Within the microscopic boundaries of a single human cell, the intricate folds and arrangements of protein and DNA bundles dictate a person’s fate: which genes are expressed, which are suppressed, and ...