Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Key opportunities in the data science platform market lie in expanding cloud deployments, growing demand in logistic applications due to e-commerce, and the rising need in the BFSI sector for risk ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

What if cattle were selected not only for their productivity, but also for their resistance to disease? A study conducted by ...

Today the world of Egyptology faces a silent crisis – not of looting, although that plays a part, but of disconnection. Walk into any major museum, from Copenhagen to California, and you see glass ...

A team of UW undergrads studying applied math and computer science gained real-world experience through an AI internship with Royal Credit Union last summer, the basis of which is still being expanded ...

Artificial Intelligence (AI) is now part of our everyday life. It is perceived as "intelligence" and yet relies fundamentally ...

U.S. Olympic skiers and scientists explain the sharp differences between natural snow and machine-made snow, from the science ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...