From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Founded in 2014, Interview Kickstart provides structured upskilling programs for software engineers, data professionals, and ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

A century after the Flexner Report, medical education faces its next revolution. Discover how AI agents are moving clinical ...

Researchers from Tianjin University have introduced the Emergency Medical Procedures 3D Dataset (EMP3D), a pioneering ...