Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

With artificial intelligence (AI) becoming an omnipresent focus of innovation in the healthcare sector, it should come as no ...

Scientists characterized the largest sample of a neural circuit to date to improve artificial intelligence models and better ...

Student Conduct & Care seeks to create and maintain a process that is transparent and equitable for Students and Student Organizations. The policies and process described on this website have, in some ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

Elvis Picardo is a regular contributor to Investopedia and has 25+ years of experience as a portfolio manager with diverse capital markets experience. Dr. JeFreda R. Brown is a financial consultant, ...

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...