Learn how to compute displacement using real velocity data with practical numerical methods in this comprehensive tutorial. Discover step-by-step techniques for integrating velocity measurements to ...

Abstract: Providing maneuverable and on-demand integrated sensing and communication (ISAC) from the sky, unmanned aerial vehicles (UAVs) are expected to greatly facilitate the future vehicular ...

Through Carnegie Mellon University’s Summer Undergraduate Research Fellowship program, junior physics major Joao Passos is learning how stars and solar systems form by studying brown dwarfs — objects ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...

The CMS collaboration have used advanced machine learning techniques to search for new particles in jets produced by proton-proton collisions at the LHC A proton-proton collision producing multiple ...

This infographic depicts a simplified diagram of the novel energy-harvesting technique using the TL liquid. Implementation of this strategy in practice could help in the conversion of waste heat ...

Founded by a co-creator of ChatGPT, Periodic Labs aims to build artificial intelligence that can accelerate discoveries in physics, chemistry and other fields. Ekin Dogus Cubuk, left, and Liam Fedus ...

This post is the second in a three-part series based on a 2023 qualitative study conducted by The Fund for Armenian Relief’s (FAR's) Child Protection Center (CPC) to explore the psychological and ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for. New AI platforms, powered by generative ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...