Take a look around and you’ll see evidence of the widespread adoption of wearable sensors for health and fitness, such as the Fitbit, Garmin or other devices. What many people many not know is that we are also using sensors to monitor the structural integrity of bridges and buildings, as well as tracking the movements of insects and other animals. We have sensor devices everywhere these days. So what happens when you throw artificial intelligence into the mix so that they call all learn from each other?
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Predicting the future is near impossible -- but that doesn‘t stop us all from having a red hot go. Human beings have been predicting the future since the beginning of history and the results range from the hilarious to the downright uncanny.
One thing all future predictions have in common: they‘re rooted in our current understanding of how the world works. It‘s difficult to escape that mindset. We have no idea how technology will evolve, so our ideas are connected to the technology of today.
Microsoft has open sourced its own artificial intelligence (AI) deep learning tools. The Computational Network Toolkit (CNTK), used by Microsoft's own researchers, is now available on GitHub, and is aimed at fuelling the speed of AI technology advancement. Here are the details.