Had a Blast - Organized Workshops on IOT, AR, VR and OpenVINO & Movidius ToolSets at our Development Centers and with Partners in India - at Delhi, Noida and Dehradun - the convergence that will evidently take place with IOT, AR and VR together with AI and Machine Learning - we gave away the Movidius Neural Compute Stick NCS and NCS2 to our team members developing some cool innovation projects
A blog post with details on building the AR Application for Car Bonnet Disparity Check is uploaded.
The purpose of this article is to show developers with ZERO experience how to get started creating a skill for the Alexa service. We’re going to cover some of the basics of NLP such as “utterances” and “intents”. This article also covers how to use Lambda functions inside AWS (Amazon Web Services) with a sprinkling of Javascript (via Node JS)
OpenGesture Skill for Alexa
Entering the exciting new area! PC skills!
Internet of Things (IoT) is the next big thing in technology for sure. As we witness a paradigm shift from IoT to IoE (Internet of Everything), IHS predicts that by 2020, we will have over 30 billion connected devices. The good thing is the revolutionary IoT technology does not confine to industries only. Its coverage is very wide that includes our homes and city. Yes, smart homes and smart cities are two futuristic concepts based on IoT. The blog talks about how IoT adds comforts and conveni...
Drug discovery using AI
I have made a clear video which has clear installation guidelines, details on model optimizer, and demos with OpenVino for the beginners.
Differential Privacy is about ensuring that when our neural networks are learning from sensitive data, that they’re only learning what they’re supposed to learn from the data without accidentally learning what they’re not supposed to learn from the data.
The II Artificial Intelligence Symposium event happened on May 30th, 2019. I talked about how to use Artificial intelligence and the openCV library, some concepts, computing vision techniques for programers not to use deep learning in all solutions. I talked superficially about openCV library history. I also showed concepts about colors, images, compilation directive, fundamentals about False Accept Rate and False Reject Rate (FAR/FRR), gray scale, histogram, binarization, filter, pixel...