In the following article, Tony Chan-Carusone explores the critical role of Forward Error Correction (FEC) in high-speed wireline networking, particularly with the adoption of PAM4 modulation for ...

This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code design by modeling the ...

For now, we want to implement the soundstream_encoder.tflite inference flow in C. I used netron to look at the model framework, and I had some questions about it: "AssignVariable and StridedSlice ...

Thomson Adds Encoder Option to Stepper Motor Linear Actuator Online Selection Tool DOWNERS GROVE, IL - Thomson Industries, Inc., a leading manufacturer of linear motion control solutions, has ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

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