Artificial Intelligence can be put on the edge of computing. The edge of computing is in Internet of Things (IoT) devices like our smart phones or other small devices. Putting intelligence at the edge of computing reduces lag time since it doesn't need an always on connection and is private since your data doesn't need uploading to a server. AI Edge Computation - magic wand
Some of the most efficient ways to exercise are weight lifting about 24 repetitions of each exercise to complete exhaustion and interval training like some kind of sprinting. Lower weight higher repetition weight lifting (meaning about 24 reps) done to complete muscle exhaustion (lift until you can't lift a single time more) can actually build muscle even faster low repetition with a heavier weight. A study on this is here: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0012033 N. A. Burd, et al. “Low-Load High Volume Resistance Exercise Stimulates Muscle Protein Synthesis More Than High-Load Low Volume Resistance Exercise in Young Men,” PLoS ONE, vol. 5, no. 8, p. e12033, 2010. Interval training works so well partly because you move fast turning on more fibers. Each muscle fiber in a skeletal muscle either contracts fully or not at all. You lift heavier weights or move faster by contracting/engaging more muscle fibers. So fast motions in interval training...
Machine learning can make medical image feature detection, annotation, segmentation, and classification much more robust to changes in the lab and clinic. Traditional deterministic image processing uses fixed pipelines of filters to denoise, simplify, and enhance. The deterministic filter pipelines are designed by experts in image processing who have spent time looking closely at the images, understanding the imaging system that took the images and understanding the goals of the imaging. Also any deterministic feature extraction process will always look at finite number of image features - even if that number is in the hundreds. What happens when looking at a new condition or disease that affects new never before examined features? What happens when the imaging process changed? When a dye is changed? When a MRI pulse sequence is changed? The deterministic pipeline fails in these cases and the pipeline itself has to be changed - meaning rewriting the program to some degree. Machine lea...
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