The rapid advancement of AI and ML technologies has revolutionized business operations, enhancing productivity, expanding services and improving efficiency. These tools help businesses make strategic ...
Since extreme weather events have become catastrophic across the globe, environmental, social and governance compliance has become top of mind for enterprises. This is why an intensive-data approach ...
TigerEye Labs Inc., an artificial intelligence-powered planning and revenue management platform company, today announced the open-source release of DuckDB.dart, a tool that helps developers build and ...
The Institute for Data-Intensive Engineering and Science, known as IDIES, requests proposals for data-intensive, multidisciplinary, multi-investigator–sponsored projects at JHU to be considered for ...
Tufts' initiative to increase data science research and education, first outlined in the T10 Strategic Plan in 2013 has made progress with the creation of the Data Intensive Studies Center (DISC) this ...
Key-value databases are at the forefront of many modern data-intensive business applications – and are widely adopted across several industry verticals including e-commerce, online gaming, content ...
New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...
African Center of Excellence in Bioinformatics and Data Intensive Sciences (ACE) - Uganda has the following research output in the current window (1 October 2024 - 30 September 2025) of the Nature ...
On Feb. 11, the Data Intensive Studies Center launched its 2022 Art Datathon with a “What Does Feminist Data Science Look Like?” lecture from Catherine D’Ignazio, assistant professor of urban science ...
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