Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...

As AI technology advances, it becomes vital for organizations, leaders and professionals to know how to learn effectively.

AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...

This fast-moving technology continues to change the landscape of education, and time isn’t really on our side.

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Duvets and pillows appear to be the most challenging laundry items to clean, frequently putting off homeowners from attempting to squeeze them into the washing machine. Nevertheless, given it's spring ...