What if the huge design space for data-driven software could be efficiently mapped and explored in order to have tailor-made, optimized solutions? Researchers from Harvard combine analytical models, ...

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, ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.

Concurrent data structures and memory management are critical components in the design of modern multi-core and parallel computing systems. These fields address the challenge of ensuring safe, ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data systems are becomin ...

It is an unfortunate result of being human that we are biased by our first impressions. For example, we are often blinded when we encounter a subject area’s data for the first time. The initial data ...

Tracking change activity over time requires complicating what might otherwise be simple data structures. One approach that many like to employ involves simply adding a start or effective date onto a ...