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It's elementary: Problem-solving AI approach tackles inverse problems used in nuclear physics and beyond
Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson ...
AZoM on MSN1d
A New Algorithm Shows Promise In Battery Research
A novel algorithm created by researchers at the University of Rochester incorporates artificial intelligence and machine ...
Astronomy has a major data problem – simulating realistic images of the sky can help train algorithms
PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...
InfoWorld23d
Snowflake’s Cortex AISQL aims to simplify unstructured data analysis
Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...
IEEE27d
A Coherence-Oriented Fast Time-Domain Algorithm for UAV Swarm SAR Imaging With Trajectory Difference Correction and Data-Driven MOCO - IEEE Xplore
By equipping the synthetic aperture radar (SAR) sensors on multiple unmanned aerial vehicles (UAVs) to form a UAV swarm (UAVS) and operate collaboratively, UAVS-SAR presents the significant advantages ...
IEEE29d
Pixel Intensity-Based Contrast Algorithm (PICA) for Image Edges Extraction (IEE) - IEEE Xplore
In this paper, images' pixels are exploited to extract objects' edges. This paper has proposed a Pixel Intensity based Contrast Algorithm (PICA) for Image Edges Extraction (IEE). This paper highlights ...