Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...

A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new developments for machine learning algorithms.

Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with contrast-enhanced CT scans (CECT) as the cornerstone of diagnostic ...

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

The use of digital storytelling as a tool for learning and assessment helped them better understand their own voice and style, and many noted that it made learning more enjoyable.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds, and the operation process of PointMLP is more concise and ...

Although most scholars say learning math algorithms like regrouping in addition are essential, some worry that schools don't do enough to support the concepts undergirding these common procedures.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...