The cost of filling up a vehicle with gasoline plays a major role in how American voters view their commander in chief. A recent study published in American Politics Researchreveals that gasoline ...

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs. A new approach integrates drone-based multispectral imaging with machine learning to ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Ad fraud is no longer a fringe issue. It is a systemic threat to digital advertising, and its scale demands a technological ...

In the iconic Star Wars series, captain Han Solo and humanoid droid C-3PO boast drastically contrasting personalities. Driven by emotions and swashbuckling confidence, Han Solo often ignores C-3PO's ...

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using ...

The NESC developed several innovative tools and techniques during an assessment to find the root cause of poor tensile ...

Former U.S. Census Bureau and Pew Research Center data scientist and survey expert joins public opinion research ...

Abstract: Solar energy is one of the vital Distributed Energy Resources (DERs) for creating a Virtual Power Plant (VPP). However, its integration into the electricity grid is challenged by its ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...