New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...

Women bring social intelligence and diverse perspectives that make AI fairer and more inclusive. Experts explain why this is ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Data science has become one of the most rewarding and future-driven careers in the US, offering an average annual salary ...

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent technological advances such as motion capture, wearable sensors and data science ...

Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...

Duncan Watson-Parris is an atmospheric physicist with appointments at UC San Diego’s Scripps Institution of Oceanography and ...

Over the past decade, the world of investing has been infiltrated by algorithms, machine learning engines and robo-advisors. In 2025, these tools are no longer niche curiosities and have become ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of factors including habitat alterations, natural resources being ...

Abstract: Good data analysis is required for the optimal design of nuclear energy projects. However, due to financial or technical reasons, data cannot be collected regularly, which leads to missing ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart rate and more. But one thing your Garmin can't measure is plain old physics ...