Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

Chinese scientists have created a faster, energy-efficient data sorting system that could revolutionize scientific computing ...

Memristor-led system could be applied in areas including smart traffic image sorting and financial risk control scoring, ...

Overall, the system achieved a 7.7-fold increase in throughput and improved energy efficiency by more than 160 times compared to conventional sorting methods. It also boosted area efficiency by over ...

Data science is the field of study that extracts relevant insights and develops strategy from data for business and industry. Combining tools, methods, and technology such as data analysis/modeling, ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...

The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials.

The data scientist role varies depending on industry, but there are common skills, experience, education, and training that will give you a leg up in your data science career.

Dive into data science with the Ethics in Data Science (DATA 202), Applied Machine Learning (DATA 301), Data Visualization (DATA 303) and Neural Networks & Deep Learning (DATA 442).* Research Data ...