Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

A Laboratory-wide collaborative community of AI researchers and applied scientists works in domains from beneath the sea to outer space to innovatively incorporate autonomy, computer vision, machine ...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, ...

Projects that collect atomistic ML resources or foster communication within community. 🔗 ACE / GRACE support - Support forum for the Atomic Cluster Expansion (ACE) and extensions. 🔗 AI for Science ...

This code example demonstrates how to run through the ModusToolbox Machine Learning (MTB-ML) development flow with PSoC 6 MCU, where the end user has a pre-trained Neural Network ... the project uses ...

Automatic test data generation helps testers to validate software against user requirements more easily. Test data can be generated from many sources; for example, experience of testers, source ...

In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navy’s Marine Operations Centers.

Photoredox catalysis plays an important role in the synthesis of pharmaceutically relevant compounds such as C(sp3)-rich tertiary amines. The difficulty of identifying underlying mechanistic models ...

In Data Science, data modeling (including relational databases and big data) has traditionally used Entity-Relationship (ER) diagrams to represent structural characteristics of data. However, ER ...