A newly issued manual foreshadows the coming difficult relations that may arise between companies and 'platform workers' – as ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

The global shipping industry, a vital cog in international trade, is facing unprecedented challenges. Recent advances in artificial intelligence (AI) have brought to light potential vulnerabilities in ...

Abstract: Weather conditions directly affect sectors such as agriculture and transport. With climate change, unpredictability is increasing and traditional calculation methods may not be sufficient.

Though everything appears to be going swimmingly for the U.S. economy and stock market, looks can be deceiving.

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...

Abstract: Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a ...

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...

Six principles for thinking about AI from the robotics pioneer behind the Roomba and former head of the MIT Artificial Intelligence Lab.

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while addressing data and integration challenges.

Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral ...

Machine learning systems face a new class of security threats—sophisticated attacks that target the very foundation of how machines learn.