AlphaGenome, accessible via API, cracks the “junk DNA” code, outperforms top rivals in key tests, and puts advanced genomics ...

To this end, we introduce a novel attractor-based neural network to realize on-chip movement decoding for next-generation portable RPHs. The proposed architecture comprises an encoder, an attention ...

Constraints are important in GNSS network adjustments because they: Anchor the network in a geodetic datum; in this case, NAD 83 (2011), epoch 2010.0. Ensure a unique and stable solution that reflects ...

For experiments on Artificial Neural Networks (ANNs), we select PUMA (Ankit et al., 2019) as the underlying hardware with two different deep neural network architectures, AlexNet (Krizhevsky et al., ...

Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture Abstract: ... More specifically, our approach forms vectors which represent the input words ...

We developed a deep-learning pipeline using a U-Net–type encoder–decoder architecture for precise pixel-level CTC discrimination in peripheral blood nucleated cells (PBNCs). This method preserves ...