Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

OpenAI introduced its most advanced models to date, o3 and o4-mini. These models represent a major step forward in the field ...

The main problem with big tech's experiment with artificial intelligence (AI) is not that it could take over humanity. It's that large language models ...

Novant Health Chief Digital and Information Officer Onyeka Nchege is building a modern, scalable and human-centered health ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

In fragmented data landscapes, a unified catalog is essential for data discovery, understanding, and governance. Historically ...

With the massive hype around AI, public service leaders could be forgiven for seeing AI as a quick solution to service ...

Technological innovations, particularly in the data and machine learning space ... AI-driven tools enable faster and more accurate geological modelling and exploration-related activities ...

As data enters organizations from every direction-collected by different teams, using different tools, for different purposes-disconnected intake processes have become a growing source of ...

whereas these outcomes are the ideal input data for a cost-effectiveness model because of its high representativeness and external validity. 6 &nbsp, "The prospective design of a patient data set ...

Welcome to your gateway to the IMF's global economic data. Our new data portal provides streamlined access to timely, reliable, and easy-to-understand macroeconomic and financial data. While the ...

Open source in-process OLAP system launches rival to Iceberg and Delta Lake table format, and more With a combined market ...