Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Colleges and universities can leapfrog from personalized to N-of-1 precision learning by modernizing their data architecture, building dynamic learner ...

Imagine a school day where your core learning happens in the morning and your afternoons are spent surfing the Santa Barbara ...

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. A Python library is a collection of ...

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct.

Large language models like OpenAI’s GPT-3 are massive neural networks that can generate human-like text, from poetry to programming code. Trained using troves of internet data, these machine-learning ...

As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain ...

Using a deep learning AI model, researchers identified the first-of-its-kind biomarker of chronic stress detectable through ...

A paper published in Biology Methods and Protocols, finds that it is now possible to distinguish wild from farmed salmon ...