Over the past two decades, new technologies have helped scientists generate a vast amount of biological data. Large-scale experiments in genomics, transcriptomics, proteomics, and cytometry can ...

Bioprinting is an additive manufacturing process, wherein successive layers of cell-laden bioinks are used to form biological ...

Mahmoud Abouelyazid is making strides in machine learning and cloud resource optimization within Silicon Valley’s tech scene. As the CTO and co-founder of EXODIA AI Labs, his research aims to help ...

If you use Spotify and aren't sure how it recommends new music, the company is quite open about how you can influence your taste profile.

Targeted memory reactivation improved memory performance of easy-to-learn words, but had no effect of difficult-to-learn words, which suggests a critical role of word learning difficulty in sleep ...

Artificial Intelligence continues to shape various industries, with new and improved algorithms emerging each year. In 2024, ...

The latest FSR 3.1 release this year brought significantly improved stability over previous versions. However, there's still ...

Don’t be afraid if what you’re thinking does not look popular,” said Dr. John Hopfield ’54 H’92 in a conference call with The Phoenix. On Oct. 8, Hopfield received the 2024 Nobel Prize in Physics with ...

Custom hardware tailored to specific models can unlock performance gains and energy savings that generic hardware cannot ...

Rivalry within the industry forces companies to seek more efficient marketing strategies while maintaining decent customer ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction.