Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
Making complex data volumes clear, accessible, and interpretable at record speed is the key that successful companies in the ...
Researchers from Peking University have developed a novel noninvasive choroidal angiography method that enables layer-wise visualization and evaluation of choroidal vessels using deep learning. This ...
Despite the relevance of smart sustainable city governance and immersive virtual worlds, only limited research has been conducted on this topic. I contribute to the literature on big data-driven urban ...
The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...
The objective of this paper is to systematically review digital twin simulation tools, cognitive computing systems, and urban big data. The findings and analyses highlight that spatial computing and ...
Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. Some ...
eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results