Quantum algorithm beats classical tools on complement sampling tasks

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...
Terra Planet Earth on MSN

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 time ...
IEEE

Two-Stage Hybrid Feature Selection: Integrating ACO Algorithms With a Statistical Ensemble Technique for EV Demand Prediction

Abstract: This paper presents a novel hybrid algorithm combining Ant Colony Optimization (ACO) and multi-model ensemble feature selection techniques to enhance the accuracy of Support Vector ...
GitHub

Feature Request: Auto model selection based on conversation complexity

It would be great to have a feature that automatically selects the appropriate model based on the complexity/difficulty of the conversation. Hook-based: Create a hook that intercepts messages, ...
IEEE

Comparative Analysis of Pre-Trained CNN and Feature Selection Algorithms for Plant Leaf Disease Identification

Abstract: Plant disease identification through leaves is an important aspect of crop health management for achieving the highest productivity. This research work compares the use of pre-trained ...