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

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 ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

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 ...

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

A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...

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 ...

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Will deep learning really live up to its ...