That was the first time I had come across machine learning and artificial intelligence.” For Lan Li, this moment as a senior ...

The new course, part of the Freshman Seminars program, focuses on the issues and challenges around increasing the representation of African languages in LLMs.

InsectNet -- which is backed by a dataset of 12 million insect images, including many collected by citizen-scientists -- provides identification and predictions for more than 2,500 insect species at ...

Standardising analytical data is the key to unlocking AI-driven innovation in chemical and pharmaceutical research. Richard Lee, Director, Core Technology and Capabilities at ACD/Labs explores how ...

The SETI Institute announced the Davie Postdoctoral Fellowship in Artificial Intelligence for Astronomy, inviting researchers ...

A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...

In various fields ranging from healthcare to finance, the demand for sophisticated data mining techniques that can efficiently process vast datasets to ...

The 5 new AI crypto coins making waves in the crypto space aren’t just about blockchain, they’re bringing artificial ...

Prior Labs secures $9.3 million in 'preseed' funding to build foundation models for handling this common, but complex data ...

Funded by a one-year, $500,000 grant from the National Institutes of Health (NIH)’s AIM AHEAD program, the researchers are ...

"Tabular data" is a broad term that encompasses structured data that generally fits into a specific row and column. It can be ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...