“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...
Deep reinforcement learning has been widely applied to solve the anti-jamming problems in wireless communications, achieving good results. However, most research assumes that the communication system ...
The urgent need for scalable artificial intelligence solutions in wildlife conservation has intensified as biodiversity loss accelerates globally, with current extinction rates estimated at 100-1,000 ...
With the development of satellite networks, space-air-ground integrated networks, and the Internet of Things, the future giant constellations, high-resolution Earth observation, human-crewed ...
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has announced its research into the Synergic Quantum ...
Nowadays hybrid hardware architecture (HHA) becomes increasingly popular in embedded systems (ES). In this paper HHA is presented for low bit depth motion estimation (ME) algorithm. Intellectual ...
“Adaptation in time-triggered systems can be motivated by energy efficiency, fault recovery, and changing environmental conditions. Adaptation in time-triggered systems is achieved by preserving ...
Transformers enable the computer to understand the underlying structure of a mass of data, no matter what that data may relate to Text is converted to ‘tokens’ – numerical representations of the text ...
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