Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...

Fully autonomous home-cage training system HABITS enables mice to learn complex cognitive behaviors without human ...

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...

The UC Davis lab of Weijian Yang has made a number of previous breakthroughs in miniaturized optical platforms, including a lensless camera designed to capture 3D information from a scene in a single ...

This is a preview. Log in through your library . Abstract Similarity search—for example, identifying similar images in a database or similar documents on the web—is a fundamental computing problem ...

Automated image colorization might be the most dramatic AI enhancement feature in visual effects. It predicts the original colors that should be present based on black-and-white images, resulting in ...