The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

The encoder–decoder approach was significantly faster than LLMs such as Microsoft’s Phi-3.5, which is a decoder-only model.

Computational optics integrates optical hardware and algorithms, enhancing imaging capabilities through joint optimization ...

Kaiserslautern, Germany, May 6, 2021 — Creonic GmbH, a leading IP core provider in the communications market, announced today the release of their new CCSDS 231.0-B-3 LDPC Encoder and Decoder IP cores ...

Antrica, a worldwide supplier of H264 video encoding and streaming solutions, today unveiled the ANT-1772 UAV MICRO, its latest multichannel encoder for airborne and ground Drone encoding and ...