By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

New research explores how artificial intelligence foundation models trained on electronic health record data can be tested to ...

The initial fear that the artificial intelligence and machine learning evolution will replace humans is shifting. A new ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

NEW YORK, NY, UNITED STATES, January 2, 2026 /EINPresswire.com/ — RepIntel has appointed Srikant Lakshminarayan as Founding Engineer, establishing his role in shaping the organization’s technical ...

A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

API integration enables real-time processing. When a document enters the system through email, mobile upload, or scanner, an API call triggers the extraction process. The AI returns structured data ...

We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...