Advanced computer programs influence, and can even dictate, meaningful parts of our lives. Think of streaming services, credit scores, facial recognition software. As this technology becomes more ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

The Master of Science in Computer Science concentration in AI & Machine Learning at Boston University’s Metropolitan College (MET) offers a unique curriculum that focuses on developing the skills to ...

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 ...

Artificial intelligence algorithms are designed to learn in fits and starts. Instead of continuously updating their knowledge base with new information over time as humans do, algorithms can learn ...

What is boosting in machine learning? Boosting in machine learning is a technique for training a collection of machine learning algorithms to work better together to increase accuracy, reduce bias and ...

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 ...

In applications like routing, job scheduling, caching, etc., requests arrive sequentially, and the goal of the system is to handle requests as they arrive, while optimizing an appropriate overall ...

People’s daily interactions with online algorithms affect how they learn from others, with negative consequences including social misperceptions, conflict and the spread of misinformation, my ...