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

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, ...

Nov. 11, 2021 — TigerGraph, provider of the leading graph analytics platform, has announced its enhanced Graph Data Science Library (previously named the GSQL Graph Algorithm Library.) This latest ...

Scientists have developed algorithms that more efficiently measure how difficult it would be for an attacker to guess secret keys for cryptographic systems. The approach could reduce the computational ...

Cell migration and proliferation are two important processes in normal tissue development and disease 1, and optical microscopy remains the most appropriate imaging modality 2 for visualizing these ...

In the world of data science, there are three core problems: acquiring data, doing the math and taking action. Two of those drive data scientists crazy; the other one they find easy. “Doing the math” ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

Nicole Janssen is the Co‐founder and Co‐CEO of AltaML, a technology scale-up that elevates human potential with applied AI. At a time when we are all too familiar with the concept of supply chain ...

Data science prepares you for careers that explore patterns in large data sets and identify potential trends and insights. The program teaches skills in programing, modeling, machine learning, data ...