Wildlife trafficking is one of the world's most widespread illegal trades, contributing to biodiversity loss, organized crime, and public health risks. Once concentrated in physical markets, much of ...

Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...

Kindly share this postThe African Development Bank Group (AfDB) and the United Nations Development Programme (UNDP) have launched an ambitious $10 billion project to support the adoption of Artificial ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...

Nabeel Sheikh earned a 2026 Global Recognition Award for engineering GPU preemptible instance capabilities at a leading cloud platform that delivers substantial cost reductions for enterprise ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data. Every digital interaction.

AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...

In this tutorial, we walk through an advanced, end-to-end exploration of Polyfactory, focusing on how we can generate rich, realistic mock data directly from Python type hints. We start by setting up ...

Canada-based pipeline technology company TCI commissioned a high-speed robotic winding machine to wrap existing pipelines in carbon fibre in order to reduce the risk of leaks and enhance lifetime ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...