AI is having a seismic impact on processes across all industries, speeding things up and driving costs down. And digital twins aren’t immune to the tectonics. McKinsey & Co wrote that creating a ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Los Angeles, CA, October 7, 2025: A 20-year-old biomedical engineering student at the University of Southern California (USC) has developed a software tool that is improving the speed and accuracy of ...

Main Idea: This paper claims that a Recurrent Neural Network can learn from data to decode noisy signal over Additive White Gaussian Noise (AWGN) Channel as good as Viterbi and BCJR algorithm.

A complete C++ implementation of the Python hmmlearn library, featuring modern C++17, Eigen for linear algebra, and comprehensive HMM algorithms. hmm_c++/ ├── include/ # Header files │ ├── types.hpp # ...

Abstract: Bit error rate (BER) and packet error rate (PER) are important quality of service parameters for wireless network. Most of researches in QoS have been ...

Quantum annealing has finally shown scaling advantages, offering faster, near-optimal solutions than traditional supercomputers, thanks to error-suppressed quantum processing. USC researchers have ...

Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread. Researchers at USC have developed a new method to accurately predict ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. As a supervised machine learning algorithm, conditional random fields are mainly used ...