Research in this area also focuses on enhancing human-computer interaction and facilitating data and software-intensive interdisciplinary projects. Faculty specializing in software systems are ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The MSc in Scientific Computing with Data Science builds on the University of Bristol's unique strengths and facilities as a world-class centre for supercomputing, data science and data-intensive ...

The new deadline to submit applications for Seed Funding and Summer Student Fellowship awards is Friday, Feb. 28 ...

It will bring together four of the university's high-performing units: Applied Science, Computer Science, Data Science and Physics. High-impact research in data-intensive fields will further converge ...

The first course introduces you to software architecture and design concepts necessary to build and scale large, data intensive, distributed systems ... can be taken for academic credit as part of CU ...

Data science combines computer science and statistics to solve exciting data-intensive problems in industry and many fields of science. As data is collected and analysed in all areas of society, the ...

Bodo.ai, an open source start-up focused on transformative Python, has released its high performance computing engine for ...

Research computing uses supercomputers and computer clusters to solve advanced computation problems that cannot be addressed using a typical workstation or laptop, because they are highly ...

Soluna Holdings, Inc. (“SHI” or the “Company”), (NASDAQ: SLNH), a developer of green data centers for intensive computing ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications ... the memory and compute elements in a computer. The physical distance is small, but the ...

Two central research themes: - Developing interpretable machine learning models that analyze large-scale multimodal dynamic data with limited supervised information - Keeping humans in the loop for ...