Hybrid Quantum: Classical Architectures For Machine Learning

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

Follow the Jane Goodall Institute as it develops a comprehensive research platform powered by AI

In part two of this three-part series, AI scientists immerse themselves in the world of primatology to accelerate behavioral ...
IEEE

Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning

Abstract: The need to detect and classify malware on Android devices has become crucial due to the widespread use of these devices daily. This paper presents a method for detecting and classifying ...
C&EN

PhaseXplorer Creates High-Dimensional Phase Diagrams with Closed-Loop Active Learning

Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K. Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge ...
IEEE

Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets

Abstract: The Quantum Annealer built by D-Wave, known as Advantage, is currently the largest quantum computer in the world, featuring a topology called “Pegasus.” This groundbreaking system opens new ...