This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

MULGONET combines deep learning and multi-omics analysis to predict tumor recurrence, addressing interpretability and ...

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

Kirill Solodskih, PhD, is the Co-Founder and CEO of TheStage AI, as well as a seasoned AI researcher and entrepreneur with over a decade of experience in optimizing neural networks for real-world ...

A Nature analysis reveals the 25 highest-cited papers published this century and explores why they are breaking records.

A new study questions the longstanding view that the visual system is divided into two pathways, one for object-recognition and the other for spatial tasks. Using computational vision models, MIT ...

From the smallest fragment of brain tissue, the intricate blueprint of the entire brain is beginning to emerge. Researchers ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Our findings suggest that the use of Graph Neural Network convolutions, combined with a final linear layer and skip connections, allow for an improvement in the state-of-the-art results, especially ...