AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

As AI adoption accelerates, organizations will increasingly measure AI success not by model size, but by the economics of ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

The Optimization, Data, and Decision Science (ODDS) Lab, established in late 2023 under the leadership of Dr. Ilgin Acar, represents a dynamic hub for cutting-edge research at the intersection of ...

This article is part of a VB Lab Insights series paid for by Capital One. For cloud-based companies, the ability to leverage nearly unlimited amounts of data can unlock possibilities that lead to more ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

Effectively scaling semiconductor manufacturing is critical to meeting the rapidly growing demand and requires solving numerous technical challenges. The substantial capital investment required for ...

AI's struggle with continuous learning reveals a critical gap between artificial and human cognitive processes.