"Medical-grade AI" has been possible for some diagnosing tasks since 1968. A simple linear model that takes in some features from an X-ray was able to outperform the best doctor in one study: https://goo.gl/yMP7sU
Microsoft's CV API worked better for me.
There are three reasons Google open-sourced TensorFlow: 1. Their stated reason. 2. Branding. Google likes to show off advanced products that aren't fully developed in order to elevate their brand and recruit engineers…
I learned a lot about TCP (including delayed acks), the basics of 802.11, and the basics of switching fabrics in my undergrad networking class, so I wouldn't say it's totally unrealistic for someone to talk a little…
It's also close to WashU.
"Medical-grade AI" has been possible for some diagnosing tasks since 1968. A simple linear model that takes in some features from an X-ray was able to outperform the best doctor in one study: https://goo.gl/yMP7sU
Microsoft's CV API worked better for me.
There are three reasons Google open-sourced TensorFlow: 1. Their stated reason. 2. Branding. Google likes to show off advanced products that aren't fully developed in order to elevate their brand and recruit engineers…
I learned a lot about TCP (including delayed acks), the basics of 802.11, and the basics of switching fabrics in my undergrad networking class, so I wouldn't say it's totally unrealistic for someone to talk a little…
It's also close to WashU.