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Researchers Report Unexpected LHC Particle Signals and the Hard Truth Is Uncertainty Grows

Top quark data may encode quantum magic, but the closer scientists look, the more selection, modeling, and proof matter every ...

A few weeks of X's algorithm can make you more right-wing—and it doesn't wear off quickly

A new study published in Nature has found that X's algorithm—the hidden system or "recipe" that governs which posts appear in your feed and in which order—shifts users' political opinions in a more ...

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
IEEE

An Adaptive Feature Selection Algorithm for Student Performance Prediction

Abstract: Educational Data Mining (EDM) is used to ameliorate the teaching and learning process by analyzing and classifying data that can be applied to predict the students’ academic performance, and ...
NextBigFuture

New Sorting Algorithm Breakthrough is Better than Dijkstra

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...
Scientific Research Publishing

Comparative Analysis of Machine Learning Algorithms for Optimal Land Use and Land Cover Classification: Guiding Method Selection for Resource-Limited Settings in Tiaty, Baringo ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...
IEEE

Adaptive Particle Swarm Optimization Algorithm and Application Model Based on Diversity-Driven Optimization

Abstract: The rapid development of Internet of Things technologies has led to the continuous increase and complexity of data feature dimensions. Therefore, a diversity-driven optimization-based ...
Frontiers

Barrier-free tomato fruit selection and location based on optimized semantic segmentation and obstacle perception algorithm

1 Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing, China 2 Key Laboratory of Intelligent Agricultural Technology (Changjiang Delta), Ministry of Agriculture ...
EDN

Component selection tool employs AI algorithms

An artificial intelligence (AI)-assisted hardware design platform enables engineers to find the right components for their design projects using machine learning and smart algorithms. It selects the ...