Overview: Structured datasets save time and simplify data collection for AI and research projects.Pre-built marketplaces and ...

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

The downsides are real, but these aren't deal-breakers. Scaling data AI monetization with free models means owning the full ...

Chandra Sekhar Bonthu pioneers data governance and automation (like DQD) to eliminate data silos and inconsistencies in life ...

Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls ...

Explore the real-world side of data science: how to securely access production databases, manage sensitive data, and handle project management challenges. Gain insights into best practices for ...

Databricks launched Lakebase, a Postgres-based operational OLTP database, at its Data + AI Summit in June. The goal is to ...

Abstract: With the gradual application of reinforcement learning (RL), safety has emerged as a paramount concern. This article presents a novel data-model hybrid-driven safe RL (SRL) scheme to address ...

Oracle's $300 billion five-year contract with OpenAI highlights the robust demand for its large-scale GPU-centric data ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for ...

Wikimedia Deutschland has revealed a new project to make information on Wikipedia accessible to artificial intelligence (AI) ...

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...