Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

The quantum layer will will not be exhausted by one hardware modality, one algorithmic framework or one vendor’s roadmap.

Wave, the testnet has drawn 13,000 sign-ups and early work from six research teams, but remains an experimental environment ...

The initiative will fund research and education to create hybrid algorithms for complex scientific and industrial challenges.

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

Mr. Jeremy Sameulson, EVP of AI and Innovation at IQT, publishes VEIL™ Privacy-Preserving Machine Learning Framework on arXiv: Introduces an architecture designed to enable use of sensitive data ...

Researchers at The University of Manchester have built a machine-learning model that prevents simulated molecules from flying ...