In today's volatile business landscape, relying on sporadic flashes of inspiration can be a fragile strategy for maintaining ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

This valuable study addresses a critical and timely question regarding the role of a subpopulation of cortical interneurons (Chrna2-expressing Martinotti cells) in motor learning and cortical dynamics ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Generative AI models can carry on conversations, answer questions, write stories, produce source code, and create images and videos of almost any description. Here's how generative AI works, how it's ...

A tree must be acyclic, meaning it should not contain any cycles. A cycle is a path that starts and ends at the same vertex ...

KUT's Miles Bloxson and Elizabeth McQueen explore how Austin musicians are adapting to AI and the changing music industry. KUOW is Seattle’s NPR news station. We are an independent, nonprofit news ...

Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue ...