Spend a weekend figuring out how to use the ChatGPT API, or sink 80 hours into a digital marketing course: It's your call with these free online classes.

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Image by Manoj Bhoyar In the ever-evolving world of artificial intelligence and machine learning, where innovation is rapid ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting diode (OLED) materials used in next-generation display and lighting ...

Basic coding skills and a foundational knowledge of large language models are essential to understanding AI and machine learning processes and interactions.

Workflow management systems (WMS) provide a robust solution for automating and ensuring the reproducibility of scientific and engineering experiments. However, reproducing machine learning (ML) ...

This review surveys basic ML concepts and their applications in chemistry, focusing on supervised and unsupervised learning approaches, data preprocessing, and model development workflows, exploring ...

Taye, M. M. (2023). Understanding of Machine Learning with Deep Learning Architectures, Workflow, Applications and Future Directions. Computers, 12, Article 91.

Artificial intelligence and software company Commure has launched a suite of AI agents designed to automate complex tasks and tackle front-office functions, along with patient navigation, care ...

These steps often stall machine learning projects between experimentation and production because of a lack of engineering resources or the complexity of debugging pipelines.