Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

with a focus on first-principles performance modelling of distributed-memory parallel programs in HPC. She also conducts research in multi-core and parallel architectures, parallel computing and ...

Researchers from MIT, Yale, McGill University and others found that adapting the Sequential Monte Carlo algorithm can make AI ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

Abstract: In this paper, the distributed form of the zeroing neural network for solving time-varying optimal problems is put forward. Compared with traditional centralized algorithms, distributed ...

Sensitivity is the likelihood of correctly determining the presence of disease in the whole population that has the disease (true positive rate) whereas specificity is the likelihood of correctly ...

The course will provide knowledge in different uses of parallelism in a multi-core computer and especially provide insight into how and when Java can be used to develop parallel programs which can be ...

His work focuses on the theoretical foundations of distributed and parallel computing, with particular emphasis on the concept of locality. He was the PC chair of DISC 2019 and SIROCCO 2016 and one of ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...