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Decoding high energy physics with AI and machine learning
In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...
Tech Xplore3d
Explainable AI: New framework increases transparency in decision-making systems
A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the ...
The Daily Galaxy on MSN18d
For the First Time Ever, AI Reveals What’s Really Inside a Black Hole—and Scientists Are Stunned
Physicists have made a striking leap toward solving one of science’s deepest riddles—what lies at the heart of a black hole. In a pioneering study published in PRX Quantum, a team led by Enrico ...
The New York Times10mon
Here’s Why ‘The Matrix’ Is More Relevant Than Ever
Baudrillard actually didn’t like “The Matrix.” He felt it misrepresented his ideas about simulation overtaking reality, flattening and misunderstanding the argument. Image But let’s go ...
IEEE11mon
Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis
even more so if it is based on 2D images, as this represents a gain due to the low cost of implementing this technology. Our work presents an approach to estimating these anthropometric measurements ...
IEEE1y
2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications
The novelty of this work lies in the development of a framework for face recognition using 2D facial ... Vector Machine (58%), and Nearest Centroid (62%) classifiers which can be further increased by ...
Science Daily2y
Machine learning generates 3D model from 2D pictures
A neural field network can create a continuous 3D model from a limited number of 2D ... a machine learning algorithm that can create a continuous 3D model of cells from a partial set of 2D images ...
EurekAlert!2y
Machine learning generates 3D model from 2D pictures
Researchers from the McKelvey School of Engineering at Washington University in St. Louis have developed a machine learning algorithm ... from a partial set of 2D images that were taken using ...