Graph database developer Neo4j Inc. is upping its machine learning game today with a new release of Neo4j for Graph Data Science framework that leverages deep learning and graph convolutional neural ...

Built by the team behind Amazon SageMaker. Having attracted investment by Wing Venture Capital, with Wing's Founding Partner and early Snowflake investor, Peter Wagner, joining startup Pinecone's ...

In this special guest feature, Robert Buck, VP of Technology at Deep Information Sciences makes the case for new adaptive technology that couples databases and machine learning to address the demands ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

There may not be as much structured data in the world as there is unstructured data, but one could easily argue that the structured data – mostly purchasing transactions and other kinds of historical ...

Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning ...

Pinecone, a new startup from the folks who helped launch Amazon SageMaker, has built a vector database that generates data in a specialized format to help build machine learning applications faster, ...

Data science and machine learning technologies continue to rapidly evolve, providing innovative ways for businesses to leverage their data assets and automate data-focused processes. Here are 10 ...

Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver ...