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 ...

Traditional algorithms power complicated computational tools like machine learning. A new approach, called algorithms with predictions, uses the power of machine learning to improve algorithms.

Any biology student can pick a neuron out of a photograph. Training a computer to do the same thing is much harder. Jan Funke, a computational biologist at the Howard Hughes Medical Institute’s ...

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, ...

Machine learning is a type of artificial intelligence (AI) that uses computer algorithms to analyze and learn from data Machine learning algorithms can draw insights from data faster and more ...

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 ...

For artificial intelligence to realize its potential — to relieve humans from mundane tasks, make life easier, and eventually invent entirely new solutions to our problems — computers will need to ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

For school leaders, artificial intelligence might feel like the latest shiny new thing to tackle in education. With ethical questions to reflect on, it may be shiny, but computer science teachers will ...

Many experts believe that once quantum computers are big enough and reliable enough to solve useful problems, the most common deployment architecture will be to have them serve as accelerators for ...