This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

Governments use algorithms to select, advise or profile citizens, and to assess risks. But how do you know whether such an ...

Abstract: The on-demand food delivery (OFD) service has gained rapid development in the past decades but meanwhile encounters challenges for further improving operation quality. The order dispatching ...

Abstract: In recent years, deep learning algorithms have been developed rapidly, and they are becoming a powerful tool in biomedical engineering. Especially, there has been an increasing focus on the ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

Will AI replace healthcare jobs? Not exactly. Learn which roles face the greatest disruption, which remain resilient, and how ...

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

Built on top of the cudamat library by Vlad Mnih and cuda-convnet library by Alex Krizhevsky.

Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.