Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...

From the physical world to the virtual world, algorithms are seemingly everywhere. David J. Malan, Professor of Computer Science at Harvard University, has been challenged to explain the science of ...

Meta is publishing new material to explain how its recommendation engine works across different products. Along with that, it is also rolling out a new option called "Why am I seeing this?" for ...

It’s that time of year again. March Madness is upon us, in all its basketball, school-spirit, gambling, money-on-the-line, eyes-glued-to-tiny-phone-screen-sports-apps, hidden-browser-tab-at-work, ...

Researchers at the Department of Energy's SLAC National Accelerator Laboratory have used machine learning methodology to study how lithium-ion batteries degrade over time. Scientists used ...

Since its inception, Google has made its way towards being the most sought after input box on the whole web. This is a path that’s usually monitored with an ever-increasing curiosity, from web ...

The Digital Services Act “will force tech companies to take greater responsibility for content that appears on their platforms. New obligations include removing illegal content and goods more quickly, ...