The field of image processing has progressed so much in the recent past that most of our customer inquiries for camera-based mobile applications now include some kind of image processing. One of them was to build a food image detection module to detect multiple food items from a mobile camera image and mark their positions. The following post details the various stages of our research and how we eventually built a highly accurate food image detector.
Businesses are placing more and more workloads in the cloud. However, a major challenge to cloud adoption is the complexity in implementing cloud projects.
For a firm migrating to the cloud, there are a lot of questions to be answered and decisions to be made. Standard concerns such as which workloads to migrate first, whether to use a private or public cloud or a mix, and what cloud migration strategy to adopt barely scratch the surface of the weightier problems.
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Artificial Intelligence (AI) is talked about everywhere, from its admirable role in cancer diagnosis to scaremongering about robots taking over jobs. Where did AI come from though, and how did it creep up on us all of a sudden?
With a slant towards the UK and Europe, this article attempts to give a holistic view of AI’s journey and enlighten on its breadth and scale. It also intends to dispel some myths, raise awareness about aspects that surround AI, and suggest areas for consideration in the future.
Times are changing for iOS application developers. Yes, I’m referring to Apple’s newly announced declarative User Interface (UI) framework, SwiftUI, which will make way for faster, interactive app development.
Generating natural speech remains the holy grail of text-to-speech (TTS) synthesis systems. While intelligible TTS systems are well-developed, the quest for the perfect-sounding one is still on. Remember Duplex that debuted at Google I/O 2018? This AI-powered Google Assistant famously dialed up a salon, negotiated an appointment with the staff in an intelligent back-and-forth communication, without giving away the fact that it was a machine.
The dust is yet to settle on Google’s Accelerated Mobile Pages (AMP) project launched a few years ago, but here is something fresh to mull over: Google’s AMP for Gmail project. Anything from Google is reason enough to sit up and take notice, the tech giant being the chief purveyor of our Internet experience.
Writing real-time applications is hard; harder still, if it needs to be distributed and fault tolerant. Minimizing latency and optimizing throughput are major goals for such applications. They demand quick response times and positive user experience even in the event of a failure of an external system or a spike in traffic.
The legacy approach is to rely on external services, such as databases, queues, etc., to handle concurrent or asynchronous operations. However, this is not viable in many scenarios. Many real-time systems—such as trading or banking applications—cannot afford the long waiting times it takes to handle concurrent requests.
The data engineering that precedes analytics was covered in our previous post, Data Engineering: The Heavy Lifting Behind IoT.
Among the many sobriquets that the Internet of Things has acquired, none is more expressive than the term “Internet of Insights.” Incontestably, industrial IoT’s claim to fame is the visibility it brings to previously inaccessible phenomena. The combination of IoT and cutting-edge analytics has pushed the frontiers of business intelligence, emboldening business organizations with better contextual awareness and predictive capabilities.
On February 25, 2019, Google and FIDO Alliance announced at the World Mobile Congress that they have added support for FIDO2 standard for Android devices running Android Nougat and above. FIDO Alliance is an open industry consortium focused on developing authentication standards. FIDO has been working to change the traditional password and OTP-based authentication with more secure open standards.
This post is part of our continuing blog series on the Internet of Things. In our previous posts, we discussed sensors, wireless technologies in IoT, and Connected Operations: 3 IoT Scenarios.
Smart cities, self-driving cars, intelligent machines—the IoT market is exploding with “Things.” The ease with which they cross over from sci-fi to real life makes it look like a breeze, thanks in part to data engineers who do the heavy lifting behind the scenes.
