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, ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

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 ...

Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...