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

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

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 ...

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 ...

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 ...

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 ...

Machine learning frameworks like Google’s TensorFlow ease the process of acquiring data, training models ... into TensorFlow apps. Each graph operation can be evaluated and modified separately ...

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