Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been and remains one of the major challenges modern society has faced thus far. Over the past few months, large amounts of information ...

Biological rhythms coordinate adaptive sensing and computation, spontaneously demonstrating concept drift detection abilities. We demonstrate that our oscillatory learning scheme, called rhythmic ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

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 ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Kharizmi helped solidify the concept of algorithms in mathematics and popularized algebra and the use of the zero.

Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of whether the code itself runs correctlyCom ...