Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

Computer scientists urge a fundamental shift in how problems are formulated in reinforcement learning for healthcare ...

AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, that deployment of AI tools—especially in a life-or-death health care ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The researchers ...

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...