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 ...
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New light-emitting artificial neurons could run AI systems more reliably
Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...
The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...
Previously met with skepticism, AI won scientists a Nobel Prize for Chemistry in 2024 after they used it to solve the protein folding and design problem, and it has now been adopted by biologists ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
Kimi has a standard mode and a Thinking mode that offers higher output quality. Additionally, a capability called K2.5 Agent ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
Artificial neural networks (ANNs) have found increasing usage in regression problems because of their ability to map complex nonlinear relationships. In recent years, ANN regression model applications ...
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