Optimal microbial sampling approaches for pharmaceutical environments include surface, passive air, and active air monitoring ...

Explore key questions on contamination control strategies to support regulatory compliance and risk management in ...

Researchers from Zhejiang University and their collaborators have developed Qjump, a hybrid quantum-classical algorithm for tackling combinatorial optimization problems. By combining shallow-circuit ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

Digital image sensors (DIS), devices that capture images by converting light patterns into electrical signals, are integrated ...

Advanced NMR solutions introduce enhanced sensitivity, automated workflows, and AI-driven data analysis, supporting ...

Integrating metagenomics and bioinformatics enhances food safety, enabling early detection of microbial risks and supporting ...

Researchers have demonstrated that even on current noisy quantum computers, they get usable results for financial modelling ...

Findings from the bank and quantum software firm show Matrix Product States overcomes the data input challenge, accelerating ...

The new project invites the public to submit soil samples from chemically impacted land to investigate how soil microbes ...

When water samples are tested for microbiological contamination today, the process still often begins and ends in a laboratory: collect the sample, transport it, analyze it, and wait for the result.

SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), a company that focuses on developing and selling Semiconductors, PKI, and Post-Quantum technology hardware and software products, today announced ...