Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...

Abstract: The application of machine learning to fMRI data classification, prediction, and analysis tasks has experienced rapid growth in recent years. However, its implementation has been limited by ...

A new study from a research team at the Center for Wireless Communications Network and Systems (CWC-NS) at the University of Oulu has introduced an approach using near-infrared (NIR) light beyond ...

Muvon Therapeutics has linked its cell therapy to a 60% drop in stress incontinence episode frequency in a small phase 2 trial, leading the biotech to pitch the candidate as a way to reduce reliance ...

Objective: An estimated 15 million people are affected by depression and anxiety in Pakistan. However, there are relatively few government mental health facilities and certified psychiatrists. This ...

The Bureau of Labor Statistics canceled its October consumer price index report, saying it was unable to retroactively obtain some data that wasn’t collected during the US government shutdown. The ...

Nitika Garg does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Oct 16 (Reuters) - Meta Platforms (META.O), opens new tab was set to seal an almost $30 billion finance package for its data center site in rural Louisiana, which would be the largest private capital ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...