Soon there will be a Chromebook with 192 cores and yet delivering 11-13 hours of battery life due to the efficient, fanless, and low wattage CPU. Some of you may quickly figured out that I am referring to the Acer Chromebook 13 powered by NVIDIA Tegra K1. With popular gaming engines being converted to WebGL such as Unreal Engine 4, this development represents an exciting new frontier for Chromebooks. Naturally the possibilities extends much more than gaming as seen in the video at NVIDIA. It is a buy for early adopters.
Data: Volume - the amount of data that is being produced over any given unit of time Variety - The level of deviation within your data, which can have both positive and negative effects depending on what it is you’re hoping to achieve Velocity - A term referring to how quickly new data is produced. Velocity can also allude to the concept of drift, or, how quickly data underlying a model can change over time Veracity - The accuracy of data that is being collected, a trait which can be affected by faulty inputs, poor organization, or a variety of other factors Value - A holistic measure based on all other underlying characteristics of data and rooted in how likely the data is to help you reach your desired end state Differences between AI, ML, and DL? NVIDIA: https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/ Source: Udacity AI for Business Leaders