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

IBM is collaborating with the European Space Agency (ESA) to develop an AI system that uses satellite data to monitor climate ...

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

The transformer consists of a encoder (encoder, in Portuguese) and a decoder (decoder, in Portuguese ... capturing the semantics and syntactic meaning of the input, so that the model can understand ...

The BCH encoder/decoder provides error correction code (ECC) capabilities for applications such as data storage and transmission. BCH is optimal for applications ...

TC4400 is a LDPC decoder core that is fully compliant with ITU G.hn (wireline home networking) specifications. It support a decoded throughput up to 1 Gbits/s on high end process nodes. The core is ...

It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM ...

Today, on National Dolphin Day, researchers from Google LLC, Georgia Tech and the Wild Dolphin Project announced DolphinGemma, an artificial foundation model trained on the structure of dolphin ...

Debuting alongside the new Blackwell GPU architecture, Nvidia gifted a remarkable new technology to owners of all existing RTX GPUs - the DLSS 4 transformer model. We've already talked about how ...

and transformer encoder), giving little attention to the transformer decoder. However, we argue that its strong capability to capture contextual dependencies and generate accurate features holds ...