Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

In an era where AI decides which brands get surfaced, summarized or cited, the question isn't "How can I rank higher?" It is ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology (AIST), Tohoku University, and Kyoto Institute of Technology, the National ...

The decision in Recentive Analytics v. Fox Corp. is significant for patent attorneys and applicants in the AI space, particularly those seeking protection for inventions that incorporate machine ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

With the advancement in Tiny Machine Learning (ML) technologies, their application in enhancing unmanned aerial vehicles (UAVs) for hydraulic engineering surveying and mapping has become increasingly ...