Feats of engineering being achieved in quantum information processing and machine learning make a cosmic multiverse seem very likely. Reading Time: 8 minutes. Why you can trust SCMP.

Potential Positives. SEALSQ Corp has announced a breakthrough in security for the next generation of intelligent machines, positioning itself as a leader in the post-quantum technology space.

Background: Lung adenocarcinoma (LUAD), the most common histological subtype of lung cancer ... A dendritic cell-related signature (DCRS) was constructed using multiple machine learning algorithms ...

This study aims to develop prediction models for patient survival in HF conditions. In this paper, we analyzed the UCI heart failure dataset containing relevant medical information of 299 HF patients.

The set-up features a quantum photonic circuit built at the Politecnico di Milano (Italy), which runs a machine learning algorithm first proposed by researchers working at Quantinuum (United Kingdom).

In Nature Machine Intelligence, Gabe Gomes, Daniil Boiko, and their collaborators propose a new type of molecular ML representation that includes quantum-chemical interactions. Boiko, a Ph.D. student ...

Abstract: We propose a prime factoring machine operated in a frame work of quantum annealing (QA). The idea is inverse operation of a quantum-mechanically reversible multiplier implemented with ...

Objectives: This study investigated association between long-term PM 2.5 exposure and lung cancer incidence, focusing on Jiangsu Province, China. We aimed to explore the effects of historical PM 2.5 ...