The potential for artificial intelligence to transform health care is huge, but there’s a big catch. AI algorithms will need vast amounts of medical data on which to train before machine learning can deliver powerful new ways to spot and understand the
A. Brake lights on the back of our car are installed mainly to warn us of danger. B. We should figure out how new technology affects people before developing it. C. We can launch new forms of AI without thinking of unexpected social effects. D. More efforts should be made to advance ...
or America. Perhaps I discovered a little island off of Portugal. But the AI era of discovery continued, and more scientists poured their souls into it. About 10 years ago, the grand AI discovery was made by three Nor...
In this paper, we only discuss about the impact of AI to future predictive maintenance, which is an important parts of future advanced production systems. Specially we focus on Deep Learning (DL) technology, which is one branch of Artificial Neural Networks (ANN) and try to answer some ...
You have AI with Netflix, Alexa and Amazon to make your consumer experience better now your local gym can help you stay on track by using your behavior! Chris Wiegand CEO,Jibestream Steady removal of friction from our everyday lives and interactions ...
First, the future of work is about more than just raw numbers of workers, the technical tools they use or the work they do; one should consider how AI affects factors such as workplace diversity and social inequities, which in turn have a profound impact on economic opportunity and workplac...
The AI market is forecasted to be worth $63 billion by 2028 and contribute $15 trillion to the global economy. But as the AI industry balloons, so do calls for caution and regulations. Karina Mitchell takes a look at the juxtaposition between new technology and traditional media and if the...
To begin with, we should make mental health a priority. Mental health affects our overall health and quality of life, so we cannot value it too much. Otherwise we will have serious problems with our physical and mental state. Sec...
Sepsis, which draws its name from an ancient Greek word meaning putrefaction or rot, affects 1.7 million people in the U.S. each year. It has long plagued hospitals. It's their top cause of death: 1 in 3 people who die in a U.S. hospital had sepsis while in the hospital. Sepsis-...
Biased training data: AI models can be biased, favoring certain ethnic groups or hospitals, which affects accuracy. For example, a study showed an AI tool considered the hospital, not just the scan, when detecting cancer. Also, many skin cancer models are trained mostly on white skin images,...