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

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.

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

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

The FIFA World Cup has seen 'Paul the Octopus' - the famous eight-limbed soothsayer. In this age of AI and machine learning, predicting a World Cup winner has become more refined ...

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

Abstract: Malware has emerged as a cyber security threat that continuously changes to target computer systems, smart devices, and extensive networks with the development of information technologies.

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

Abstract: Due to the open nature of wireless communication, malicious electromagnetic jamming has long been a severe threat to the establishment and stability of communication links. To address this ...

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