So we need to implement high speed turbo decoder as well as turbo encoder. So we have to make MAP decoder having parallel window MAP architecture. Finally, we make the improved parallel window MAP ...

To build the TerraMesh dataset that underpins TerraMind, IBM’s researchers compiled data on everything from biomes to land ...

On the transmitter side, the turbo-phi encoder architecture is based on a parallel concatenation ... On the receiver side, the turbo decoder engine is built using two functioning soft-in/soft-out ...

What is “BERT (Bidirectional Encoder Representations from Transformers ... variety of language-based AI tasks. BERT uses a transformer architecture, which includes self-attention mechanisms ...

The architecture consists of a contracting path (encoder) to capture context and a symmetric expanding path (decoder ... The Swin Transformer (Shifted Window Transformer) emerged as an innovative ...

B-v2, an open-source hybrid Transformer-SSM model trained on 3T tokens, claiming faster inference than comparable LLMs.