The power of data analytics
As described by AgileEngine (https://agileengine.com/megatrends-in-big-data/), there are four megatrends in big data in 2019, i.e.:1) From “big data” to “just data” because most organizations currently already embrace big data. 2) machine learning is the new engine after many organizations suffer creating value from big data. 3) everyone to the cloud because of the following benefits: … Read moreBig Data & AI landscape 2018
Hardware makers are competing to make a credit card-sized single board computer (SBC) that has ‘enough’ computing power on which ‘intelligence’ can be put. As an example, a drone that could take actions immediately when perceiving a certain pattern without beforehand coordinating with the ground station. Interestingly one of them is based on Eindhoven, UP … Read moreEdge embedded system: UP core
Only a few are seen to be fake, but everyone is fake (refresh to get a new image): https://thispersondoesnotexist.com/
Kai-Fu Lee mentions there are four stages that China took to become global AI leader:1) Copied from U.S.2) Inspired by U.S., then leapfrogged3) Chinese innovations4) Entering the era of Copy-from-china (become “data collectors” in other countries) It is interesting to see how U.S. reacts recently by blockade its trade with China.
Imagine we want to recognize/identify an object in the images streamed from camera feeds (such as to recognize thief/suspect at the immigration checkpoint, airports, stations, etc.). To do that, the convolutional neural network (CNN) is currently the most used method. Such popular CNN architectures such as LeNet, AlexNet, VGG, GoogLeNet, ResNet, YOLO, etc. could be … Read moreCombining neural network and GPU in Google Cloud Platform