Ribonucleic acid, also called RNA, is a molecule present in all living cells. It plays a critical role in transmitting ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations—it's a triumph of your ...

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In this paper, we report the design and multi- FPGA chip implementation of a 64-node butterfly network based on MPSOC. Our Network is placed and routed automatically on the 4 FPGA included in Eve Zebu ...

This study introduces PROFIS, a new generative model capable of the design of structurally novel and target-focused compound libraries. The model relies on a recurrent neural network that was trained ...

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

FramePack is a next-frame (next-frame-section) prediction neural network structure that generates videos progressively. FramePack compresses input contexts to a constant length so that the generation ...

These partnerships span design, planning and delivery, ensuring that housing is efficient to build, operate and live in. Heat networks offer a compelling route forward, capable of delivering ...

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.

ATMOS Assessing Phoenix Design Changes After First Test Flight is published in Aerospace Daily & Defense Report, an Aviation Week Intelligence Network (AWIN) Market Briefing and is included with ...

Abstract: This article presents an inverse design with transfer learning based on neural network (ID-TL-NN) for the rapid design of electron guns, which expands the range of the structural parameter ...