Tech Xplore

HarmonyGNN boosts graph AI accuracy on four tough benchmarks by up to 9.6%

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
SciELO

Comparison of predictive performance of data mining algorithms in predicting body weight in Mengali rams of Pakistan

The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the ...
IEEE

Non-dominated Sorting Quantum Evolutionary Algorithm and Its Application in Optimizing Multi-port Network Antennas

Abstract: Many-objective optimization problems are challenging and time-consuming, especially when the number of objectives is large. In this paper, an evolutionary algorithm inspired by quantum ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
IEEE

MOSTA-II: An Efficient Multi-objective State Transition Algorithm via Modified RankOrdinal Non-dominated Sorting Approach

Abstract: Optimization algorithm based on Pareto dominant strategy has been widely used in solving multi-objective optimization problems. However, the inappropriate search scope and dominance ...