An introduction to the use of popular algorithms in statistics and data science, including (but not limit to) numerical linear algebra, optimisation, graph data and massive data processing ... of ...

Research. education and training of multi-disciplinary students from the Colleges of Science, Engineering, Management in computational data modeling and data processing. To enable a new generation of ...

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 ...

A Convergence of Two Powerful Technologies, Shashank Chaudhary, a researcher at the forefront of computational science, explores the dynamic fusion of quantum computing and artificial intelligence in ...

By integrating the strengths of edge and cloud computing, modern data processing is undergoing a transformative shift. Pruthvi Tatikonda, in distributed computing, explores this evolution in his ...

Quantum computing holds great promise in such such as computational chemistry and high-speed networking. But they’re so ...

The Computational Linguistics and Speech Processing (CLaSP) lab is dedicated to advancing applied and theoretical research involving text, speech, dialogue, and multimodal data. An area of focus is ...

an exact mathematical approach and computational modelling. Research focuses especially on the theory of artificial intelligence and machine learning, exact algorithms for NP-hard problems, string ...

Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences ...

An introduction to the use of popular algorithms in statistics and data science, including (but not limit to) numerical linear algebra, optimisation, graph data and massive data processing ... of ...