If you've spent any time with ChatGPT or another AI chatbot, you've probably noticed they are intensely, almost overbearingly ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
The high valuation of the US stock market has yet to dent investor sentiment. AI optimism is fueling bulls, who argue that productivity gains and a CapEx boom justify the elevated valuation.
This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...
The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and ...
The paper shows that when people overreact to economic news—a behavioral pattern called Diagnostic Expectations—open ...
A study reveals chimpanzees exhibit evidence-based reasoning, challenging the belief that rational thought is uniquely human.
Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
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