The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

Avon Primary Care Research Collaborative, Bristol Primary Care Trust, Bristol, UK Professor J Hippisley-Cox, Division of Primary Care, 13th Floor, Tower Building, University Park, Nottingham NG2 7RD, ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Abstract: A variety of resource allocation problems on networked systems, for example, those in cyber-physical systems or Internet-of-things applications, require distributed solution methods. Modern ...

SYSTEMS APPROACH Last year a couple of people forwarded to me the same article on a new method of finding shortest paths in networks. Dijkstra is a legend in computer science and his algorithm, which ...

A Python implementation of the Mobilise-D algorithm pipeline for gait analysis using IMU worn at the lower back (Learn more about the Mobilise-D project). This package is meant as reference ...

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...

Some algorithms are more efficient than others. We would prefer to chose an efficient algorithm, so it would be nice to have metrics for comparing algorithm efficiency. The complexity of an algorithm ...