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

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 ...

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 ...

Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research Natural language processing (NLP) techniques have been adopted to reduce the curation costs of ...

Early detection of ovarian cancer, the deadliest gynecologic cancer, is crucial for reducing mortality. Current noninvasive risk assessment measures include protein biomarkers in combination with ...

Recently, Anhui Zhongji Star Electronic Technology Co., Ltd. submitted a patent application titled "Dynamic Control Method ...

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 ...

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.