Mu is built on a transformer-based encoder-decoder architecture featuring 330 million token parameters, making the SLM a good ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

Staying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers your risk of disease, improves your mood, and boosts energy levels.

A Western University study buoyed traditional statistics with novel machine learning techniques, using artificial intelligence, to test early warning models for Tofino, B.C.

2022). Two machine learning algorithms (RF and SVM) were used to classify tree species based on all extracted features. RF is based on decision trees, reduces overfitting through random attribute ...

AI model developers who have built algorithms for CHF will be able to test the performance of their models on data sets curated by Mount Sinai and Morehouse. Both academic medical centers have a ...