Explore how large language models enhance knowledge graphs in drug discovery and improve data management and reasoning.

A knowledge graph is a sophisticated data structure that links diverse data points through defined relationships, enabling deeper insights, smarter decision-making, and contextual understanding. By ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...

Par Ola Jansell Altair explores how virtual prototyping is revolutionising mining equipment design by boosting innovation ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...

Now, it's extending this foundation using a vector database to enhance its existing knowledge graph and graph database for AI use cases. An essential component for building more trustworthy AI lies in ...

Altair, a global leader in computational intelligence, has partnered with Databricks, the data and AI company, to empower ...

Powering Knowledge Graphs and Data Fabrics with Databricks Data A key differentiator is Altair RapidMiner's massively parallel processing (MPP) knowledge graph technology-purpose-built to support ...