Slo-mo energy harvesting could see finger presses powering touchscreen devices

an improved ultra-wide camera.

as AiDash does not incur an incremental cost.For the people doing the planning.

combined with a multitude of other data.we can make predictions when we supplement that with weather information and the storms path in real-time.including multispectral bands and synthetic aperture radar (SAR) bands.

we have explored various aspects of the ways data science and machine learning intertwine with natural events -- from weather prediction to the impact of climate change on extreme phenomena and measuring the impact of disaster relief.AiDash is headquartered in California.

in this case knowledge about trees.

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