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To address this bottleneck, the researchers focused on space reactors and developed an intelligent model to help design radiation shielding more quickly and efficiently. This model is based on ...
DNNs can transform fragrance design by predicting and creating novel scents from chemical data, ushering in a new era of digital scent creation. Disclaimer: AAAS and EurekAlert! are not ...
MIT CSAIL researchers have introduced linear oscillatory state-space models (LinOSS), inspired by neural oscillations in the ...
Merging neurons with semiconductors signals a shift in brain–machine interface design and neuromorphic engineering.
Nextchip license NeuPro-M NPU to bring powerful and highly efficient AI capabilities to boost performance and capabilities of ...
More information: Qisheng Chen et al, Prediction of radiation shielding design schemes based on adaptive neural networks, Nuclear Engineering and Design (2025). DOI: 10.1016/j.nucengdes.