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

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

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Pattern recognition and machine learning are revolutionizing the functioning of the crypto market. They convert raw, random data into useful signals, enabling traders to make better, quicker, and ...

In-context learning has the potential to revolutionize how machines acquire knowledge—enabling them to adapt, reason, and ...

Money laundering can be combated by transaction monitoring, which uses algorithms to detect unusual withdrawal and depositing ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart ...

We've known about wind on Mars for decades, but thanks to new research from a Swiss team, we have a better idea of just how strong those winds are.

The future of machine intelligence likely involves a sophisticated hybrid ecosystem where AI and SI coexist and collaborate.