Encoder and decoder IP support the LDPC coding schemes as defined by ... bit accurate Matlab, C or C++ simulation model and comprehensive documentation.

Traditionally, plant genomics has been challenged by the sheer volume and complexity of its datasets. The specificity of ...

By leveraging the structural parallels between genomic sequences and natural language, these AI-driven models can decode ...

The doors are set to open: InfoComm 2025 is finally here. Before you hit the show floor, make sure to add these booths to ...

The DuetD-5-WP wallplate decoder features an HDMI output and two USB-C ports to deliver USB-over-IP support, consistent with ...

The GeForce RTX 5060 delivers an impressive generational improvement over the RTX 4060; however, with 8GB of VRAM, it falls ...

Trias is an encoder-decoder language model trained to reverse-translate protein sequences into codon sequences. It learns codon usage patterns from 10 million mRNA coding sequences across 640 ...

To fill this gap, we propose two attention-mechanism-based encoder–decoder models that incorporate multisource ... with a success rate of nearly 50%. Our model achieved competitive results, mainly ...

PartCrafter builds upon a powerful, pretrained 3D mesh diffusion transformer (DiT), originally trained to model whole 3D objects. By reusing this pretrained backbone—including the encoder, decoder, ...

The architecture of this model combines each user's features and his historical event lists by sequence-to-sequence (Seq2Seq) structure and make predictions based on his recent event lists. We also ...

In this paper, we implement and parallelize batch learning for a Sequence-to- Sequence (Seq2Seq) model, which is the most basic model of NMT, without using a padding strategy. More specifically, our ...