Microsoft

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

The 17th ACM International Conference on Web Search and Data Mining (WSDM '24) | March 2024 ...
GitHub

Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more

Since Github doesn't provide a great way for you to learn about new releases and features, don't just star the repo, join the mailing list. dsq will likely work on other platforms that Go is ported to ...
MLive

DTE still expects approval for OpenAI, Oracle data center power despite delay

SALINE TWP., MI — DTE Energy officials still expect state regulators to approve special contracts for the utility to power what would be Michigan’s first hyperscale data center project in Saline ...
Variety

‘Stranger Things 5’ Table Read Video Shows Noah Schnapp, Millie Bobby Brown and More Freak Out While Discovering Will Byers Twist

The jaws of “Stranger Things”s cast literally dropped when the Duffer brothers revealed the shocking twist of Season 5 Volume 1 where Will Byers (Noah Schnapp) becomes “a sorcerer.” The YouTube page ...
IEEE

An Ontological-Based Model to Data Governance for Big Data

Abstract: Nowadays, companies and official bodies are using the data as a principal asset to take strategic decisions. The advances in big data processing, storage and analysis techniques have allowed ...
GitHub

dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.

Loading CSV, JSON, Excel, and Parquet data to database. It supports both local and online files (HTTP URLs). Data can be loaded incrementally or in full. Transforming data in existing database tables ...
The News Journal

ChristianaCare vendor Oracle Health exposed in cybersecurity incident

ChristianaCare has announced that a cybersecurity incident of its third-party electronic medical records vendor Oracle Health, formerly Cerner Corp., exposed patients' information and medical records.
IEEE

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets

Abstract: The increasing prevalence of chronic non-communicable diseases makes it a priority to develop tools for enhancing their management. On this matter, Artificial Intelligence algorithms have ...