The advances seen in the Image Net competition showed the world what was possible, and also harkened the rise of convolutional neural networks as the method of choice in computer vision.
Convolutional neural networks have the ability to learn location invariant features automatically by leveraging a network architecture that learns image features, as opposed to having them hand-engineered (as in traditional engineering).
In Rwanda, as in many other countries in Africa, road conditions are not great and even short distances, i.e. So for hospitals, like elsewhere, the need for medicine or blood donations in emergencies is usually impossible to fulfill.
A Californian startup called Zipline is using drones to deliver medicine in cases of emergency.
For instance, in China the giant is already using drones to deliver products to remote areas.
Digital innovation helps companies to improve their businesses and they might even transform private households into gigantic storage rooms.Disruptive digital innovation does not happen where you think it does.The media is full of articles about the digital innovations happening at big Internet companies, and which seem impressive at first sight: What do all these innovations have in common?Such inventions rarely make it to the headlines, but they show how digital social innovations can have greater results if human problems are put at the center of the innovation.Because the best innovation happens under constraints when one has little resources available and has to find a solution that still works greatly.The process of data integration has traditionally been done using structured and semistructured data in batch-oriented use cases.In the last few years, real-time data has become the new frontier for many enterprises, and real-time streaming of unstructured or binary data has been a particularly tough nut to crack.Big tech giants have lost this ability to bring such great benefits or, in worst case, only try to hook users as long as possible for higher advertisements return (e.g. It’s time to look out for the great problem solvers around the world with small names but smart digital social innovation for real problems. This blog takes multiple perspectives on digital transformation.As a political scientist, programmer and data analyst, I explore and write about the effect of new technologies and the interplay between humans and machines.We’re seeing applications of computer vision across the spectrum of the enterprise: In insurance, we see companies such as Orbital Insights analyzing satellite imagery to count cars and oil tank levels automatically to predict such things as mall sales and oil production, respectively.We are also seeing insurance companies leveraging computer vision to analyze the damage on assets under policy to better decide whom should be offered coverage.