Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Scientist Yi Nian is sharing his machine-learning ... Nian was a Data Science Research Assistant for UTHealth Science Center in Houston, Texas, where he constructed knowledge graphs with NLP ...

Graph data, e.g., social and biological networks, financial transactions, knowledge graphs, and transportation systems are pervasive in the natural world, where nodes are entities with features, and ...

An abundance of storage capability, a multiplicity of formats in which information can occur, and policies that encourage saving information… Benedict Bleimschein, . . . . . . There is a new approach ...

Snowflake is addressing the complexity of migrating legacy data systems into the Snowflake ecosystem with SnowConvert AI, a ...

IntroductionThe UK water industry faces significant challenges in ensuring the accuracy and quality of the vast amounts of ...

We think being recognized as a Leader for the second consecutive year further validates Altair's expertise in data science ...

Who is the Graduate Certificate in Machine Learning for Data Science program for? Drexel College of Computing & Informatics' Post-Baccalaureate/Graduate Certificate in Machine Learning for Data ...

Altair, a global leader in computational intelligence, announced that Altair® RapidMiner®, Altair's data analytics and AI ...