The answer to 'What customer needs requires an AI solution?' isn’t always 'Yes.' LLMs are still expensive and not always accurate.

Microsoft's most advanced Phi-4 small language model (SLM) competes with the performance of larger-scale models. While ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

To identify critical biomarkers, machine ... and SVM, which have good feature selection ability and interpretability in bioinformatics and biomarker screening tasks, we also recognize the potential ...

The team first estimated which genes were present in ancestral genomes. They then used machine learning to predict whether or not each ancestor used oxygen to live. To best utilise fossil records ...

Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, California 92093, United States Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, ...

The proposed method is a combination of signal processing techniques and machine learning algorithms, including multi-layer perceptron (MLP), K-nearest neighbor (KNN), naïve Bayes, and support vector ...