Based on Apache OpenWhisk, IBM Cloud Functions is a Functions as a Service (FaaS) platform that makes it easy to build and deploy serverless applications. In this tutorial, you'll build a serverless application using IBM Cloud Functions that monitors the content of a Cloud Object Storage bucket and analyzes the content of images that are uploaded to the bucket by a human or an automated process. For illustrative purposes, analysis is performed by a deep learning microservice from the Model Asset eXchange and analysis results are stored as JSON files in the same bucket. You can easily adapt the outlined approach to take advantage of hosted cognitive services, such as those provided by IBM Watson, and to store results in a NoSQL datastore like Cloudant or a relational database. By completing this introductory tutorial, you learn how to monitor a Cloud Object Storage bucket for changes (new objects, updated objects, or deleted objects) using Cloud Functions and how to use deep learning microservices from the Model Asset eXchange to automatically analyze those objects in near real time.
Google has refreshed its cloud storage offerings, introducing new tiers at a lower price. The Google Cloud Storage platform will now offer four types of storage: Multi-regional, Regional, Nearline and Coldline. Each offers availability and pricing aimed at different use cases, from streaming media to disaster recovery. Coldline is a new Google Cloud Storage tier, aimed at data accessed less than once per year. It is the lowest-priced offering, at 0.7 cents per GB per month with a five cent per GB access fee, and designed for disaster recovery and long-term archival.
Security researchers recently discovered an unsecured Amazon server that contained critical login credentials and configuration files for servers and platforms operated by media giant Viacom. The exposed Amazon Web Services cloud storage bucket contained information that if stolen, could provide malicious actors with direct access to vital digital infrastructure maintained by the massive media conglomerate. The exposure was first discovered on Aug. 30 by Chris Vickery, the director of cyber risk researcher at cyber resiliency firm UpGuard. The database was still being regularly updated at the time of its discovery, likely with backup files of vital data. Newsweek is hosting a Structure Security Event in San Francisco, Sept. 26-27.
The concepts of neural architecture search and transfer learning are used under the hood to find the best network architecture and the optimal hyperparameter configuration that minimizes the loss function of the model. This article uses Google Cloud AutoML Vision to develop an end-to-end medical image classification model for Pneumonia Detection using Chest X-Ray Images. The dataset is hosted on Kaggle and can be accessed at Chest X-Ray Images (Pneumonia). Go to the cloud console: https://cloud.google.com/ Setup Project APIs, permissions and Cloud Storage bucket to store the image files for modeling and other assets.
We talk way too often about what a technology enables people to do. Its objective is to spread a very fast signal through the airwaves, using transmitters whose power curve is just under the threshold of requiring artificial cooling. It needs to be faster than what we have now, for enough customers and enough providers to invest in it, so that it may achieve that main objective. Assuming 5G deployment proceeds as planned, and the various vast political conspiracies, small and large, fail to derail the telecommunications providers' plans, it will reach the peak of its goals once it has achieved the virtualization of its packet core (which was begun with 4G LTE), its radio access networks (RAN), and the customer-facing functions of its data centers. But it's from atop the highest peak, as any Everest climber or any great John Denver song might tell you, that one obtains the best view of oneself, and one's own place in the world. The common presumption, when the topic of network functions virtualization (NFV) is brought up with respect to 5G, is that all this virtualization will take place on a single platform. Not only is this critical issue undecided, but there would appear to be a dispute over the decided or undecided nature of the issue itself.