The three-year program, which will span 26 states, is designed to ensure U.S. companies lead the way in next-gen aircraft used for personal travel, regional transportation, cargo logistics, and ...

Mars missions, Dr. Lulu Zhao shows how solar particles threaten our tech, and how AI is learning to forecast them.

Imagine building a drone from scratch—every component needed to fly—and then using it to study the atmosphere as it enters a ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

AgentX transforms your ideas into executable strategies, eliminating black-box operations and making them reproducible.

In a recent study on clinical prediction models, Liu (1) and colleagues developed a deep learning model to predict ALN pCR in ALN-positive breast cancer patients undergoing NAT by analyzing ...

U.S. Air Force Senior Airman Lee Cutshaw, an aircrew flight equipment technician assigned to the F-35 Demonstration Team, marshals the a USAF F-35A Lightning II during an airshow at Jacksonville Naval ...

Abstract: This study develops an Artificial Neural Network (ANN)-based prediction model to estimate the total project cost (TPC) of residential dwellings in Quezon City, the largest local government ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Air traffic congestion has emerged as a significant global challenge, with delays due to weather conditions, busy runways, and low visibility. These delays not only impact operational ...