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From the need to maintain small form factors and keep system power requirements low to concerns over data integrity and cost, the design space for diagnostic wearables is fraught with complexity.
It takes time to look at an image and decide on an action. Machines look at digital images much faster than people, but they need to understand the content. Artificial intelligence (AI) is making that possible.
Faster to market, higher productivity and better security. These are just some of the improvements you will see from adopting a microservice architecture. Moving away from a monolithic application will be a challenge, but the long-term gain is worth the short-term pain.
Engineers agree device power is the most challenging design problem.
What will happen when billions of small, ultra-low power devices sitting at the edge of the network are powered 24/7 with just RF energy?
The capabilities of wearable healthcare devices continue to expand thanks to developments in semiconductor technologies
Protect your loved ones with a climate-aware tracking system for epinephrine!
We think of electricity as a constantly available form of energy. But electricity needs to be generated on demand, and when demand is high or supply is low, the availability of electricity comes under pressure.
The IoT is already being used to share medical data; soon it will be home to virtual clinical trials. Moving to virtual trials could also reduce the time taken to conduct clinical trials from years to months, or in some cases even less than a day.
Indoor farming on a commercial scale is now an essential part of the food chain. These endeavors are more than just large greenhouses; they are carefully controlled environments with conditions optimized for getting the highest possible yield from the crops planted.
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