KPISOFT

scienceblog.com | February 04, 2020

A big data approach to neuroscience promises to significantly improve our understanding of the relationship between brain activity and performance.To date, there have been relatively few attempts to use a big-data approach within the emerging field of neurotechnology. In this field, the few attempts at meta-analysis (analysis across multiple studies) combine only the results from individual studies rather than the raw data. A new study is one of the first to combine data across a diverse set of ...

TileDB, Inc., Uncorrelated Ventures, Nexus Venture Partners, Intel Capital, Big Pi Ventures | July 20, 2020

TileDB, Inc. has secured a $15M Series A investment round led by Two Bear Capital, joined by Uncorrelated Ventures and all existing investors: Nexus Venture Partners, Intel Capital, and Big Pi Ventures. The funding will help the company expand go-to-market and product development for its “universal data engine,” a novel database that goes beyond tables to manage any complex data and beyond SQL to analyze the data with any tool, all serverless and at planet scale. Montana philanthropi...

BIG DATA MANAGEMENT

Immuta | July 08, 2021

Immuta, the leading provider of universal cloud data access control, announced that automated data access control is now accessible via Snowflake's Partner Connect portal. Immuta's sophisticated automated data access control capabilities highlight the increasing need for robust security and privacy protection in today's fast-paced DataOps environment. Customers can use Snowflake Partner Connect to test products that bring value to their Snowflake platforms quickly. Whi...

MACHINE LEARNING

Brainome | November 05, 2020

Brainome, the organization behind the first-since forever measure-before-assemble apparatus for machine learning, today dispatched its item, Daimensions™, for the undertaking market. By presenting estimation as an organized order to the field, Brainome changes the manner in which associations approach machine learning: quicker, more successful information arrangement, fast preparing and execution of models, minimal model size, speedy recognizable proof of most prescient information credits...