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healthcare

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Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions.

Anything-in-anything-out: a new modular AI model

In this episode, we discuss the shortcomings of previous attempts at making flexible wearable sensors and how researchers at CalTech have addressed them to create high performance stress sensor stickers.

Stress Sensing Stickers

As the IoT matures, analysts forecast that NB-IoT and LTE-M (cellular IoT) are likely to become the dominant technologies for connecting local area networks (LANs) or standalone wireless devices over kilometer distances to the Cloud.

Cellular IoT dominates LPWANs

In the latest of a series of innovative designs for wearable sensors that use sweat to identify and measure physiological conditions, Caltech's Wei Gao has devised an "electronic skin" that continuously monitors nine different markers that characterize a stress response.

Measuring Stress

Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.

What to do about AI in health?