The data is then converted into a format suitable for AI algorithms, such as numerical values, vectors or graphs. Data structuring techniques vary based on the type and purpose of the data.

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Mastering DSA is essential for improving coding efficiency and cracking technical interviews.The right DSA books provide ...

To gain a competitive edge with AI, healthcare companies should reclassify their data in a uniform way and upskill staff, ...

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, ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

AI makes use of computer algorithms to impart autonomy to the data model and emulate human cognition and understanding. Algorithms enhance AI by making the system smarter.

Capivara, an unsupervised AI algorithm, ... Applied to MaNGA survey data, it revealed coherent structures such as tidal tails and spiral arms, ...