Torgny Fornstedt describes how machine learning can work in practice for oligonucleotide analysis.

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

ANN ARBOR, Mich., Oct. 17, 2025 (GLOBE NEWSWIRE) -- The National Center for Manufacturing Sciences (NCMS) announces the publication of a new Technology Brief that demonstrates how artificial ...

As with statsmodels, Matplotlib does have a learning curve. There are two major interfaces, a low-level "axes" method and a ...

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...

Protegrity, a global data security leader, is releasing its free Developer Edition on GitHub to help developers, data scientists, ML engineers, and privacy/security engineers integrate data protection ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Package your Python applications for redistribution with one click, no compiling, and almost no additional software.

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...