IEEE

Real-Time Localization of Zigbee Signals Using Graph Neural Network

Abstract: With the rapid development of Internet of Things technologies, zigbee-based wireless signal positioning has shown great potential in applications such as smart homes and industrial ...

Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
IEEE

Deep Reinforcement Learning with Graph Neural Networks: An Indepth Analysis of Algorithms and Applications

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

The 3 Deep Learning Stocks That Could Be Worth 50% More by 2027

Speaking of Alphabet, it would definitely be possible for both Microsoft and Alphabet to appreciate 50% in 2026. While Alphabet has had the best year of the " Magnificent Seven " stocks, up 62% on the ...