Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
The findings suggest that advanced AI models, when designed to reflect real-world system interdependencies, can reduce the digital divide in urban resilience planning. Rather than benefiting only data ...
University of Illinois professor Klara Nahrstedt received $275,000 from the National Science Foundation to develop streaming ...
Read more about Artificial intelligence could change future of antimicrobial drug discovery: Here's why on Devdiscourse ...
Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Edge AI SoCs play an essential role by offering development tools that bridge the gap between AI developers and firmware ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design. In addition, Nature has recently ...
Abstract: Industrial wireless sensor networks (IWSNs) play a critical role in enabling real-time monitoring and intelligent automation in modern industrial applications. However, maintaining reliable ...
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