A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Padma Naresh Vardhineedi is a software architect and technology leader whose expertise spans database architecture, ...

A common view in current machine learning research is that machine learning itself can be used to improve the quality of AI dataset annotations – particularly image captions intended for use in vision ...

On April 18, 2025, the United States Court of Appeals for the Federal Circuit ("Federal Circuit") issued a significant decision in ...

Feature store architectures have revolutionized machine learning operations, addressing critical challenges in feature management, computation, and storage ...

Santa Clara, California - Machine learning is growing and evolving at a rapid pace and Automated Machine Learning (AutoML) ...

Deploying artificial intelligence at an enterprise scale is both an art and a science. For global organizations like Amazon, where services impact hundreds of millions of users, ensuring the seamless ...

The funding infusion sharpens a mission to make hyperscale analytics radically cheaper and greener at the very moment ...

Real-time performance in ML enabled distributed systems requires more than just good engineering. It’s about building ...

Sanjiv Kumar Bhagat's insights underscore that AI-enabled ERP frameworks represent more than just a technological upgrade ...

Companies like Nvidia have already taken advantage of this growth, soaring to multitrillion-dollar market caps. Over time, ...