The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow operation times. Even when assuming optimistic scaling projections, ...

In today's volatile business landscape, relying on sporadic flashes of inspiration can be a fragile strategy for maintaining ...

The new Biometrics Intelligence Hub now presents overviews and analysis of NIST evaluation reports on algorithms for 1:N face ...

Researchers from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, and Johns Hopkins University in ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Michael Schmidt, CFA, is a staff member of FINRA's Dispute Resolution Board with 20+ years of experience in the financial market. Doretha Clemons, Ph.D., MBA, PMP, has been a corporate IT executive ...

Elvis Picardo is a regular contributor to Investopedia and has 25+ years of experience as a portfolio manager with diverse capital markets experience. Thomas J Catalano is a CFP and Registered ...

TORONTO — With the Toronto Argonauts looking for a head coach, two very familiar names should top general manager Mike (Pinball) Clemons' wish list. Clemons' first moves should be calling the Winnipeg ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Real-time systems are increasingly shifting from single processors to multiprocessors, where software must be parallelized to fully exploit the additional computational power. While the ...