A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

SmartDV will be highlighting its new H.264 and H.265 Video Encoder and Decoder IP at DAC 2025. If you are attending, we invite you to stop by our booth #2331 to learn more about how our innovative IP ...

When people think of DNA, they usually think of genes, the parts that code for proteins and drive inherited traits. But there ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI-like chatbots so good at understanding and using words. The work is ...

Learn about and revise how to continue sequences and find the nth term of linear and quadratic sequences with GCSE Bitesize Edexcel Maths.

Deep Learning Sequence Processing with RNNs This repository contains the implementation of encoder-decoder recurrent neural networks (RNNs) for sequence-to-sequence learning of arithmetic operations.

MSEED features a hierarchical encoder-decoder architecture, a short-term-enhanced subnet, and a feature assembling layer that integrates spatial and temporal information across multivariate inputs.

The demand for large-scale data samples has always been a significant bottleneck in the application of artificial intelligence methods in the field of electromagnetic compatibility (EMC) of integrated ...