Core ML

Core ML After Dark

Derek Andre Machine Learning, Mobile, Technology Snapshot, Tutorial Leave a Comment

So you’ve made this great social media app, and you are about to sit back and wait for the money to roll in. But, there is a problem: people keep trying to upload nude photos to it.

What if we could have a trained machine learning model that could detect not safe for work (NSFW) content and do it on a iOS device, before any image would be uploaded to a server?

Developing this trained machine learning model is way out of scope for this blog post. Luckily, the good people at Yahoo have already done this with their open-sourced trained Caffe models. The question now is, how can we use this on an iOS device?

In this post: The sultry side of your iPhone can collide with acceptable use policies. We introduce a machine learning solution that can help your application decide what is truly too hot for the internet using Core ML on iOS…

Quick Introduction to the Computer Vision API

Brad Kirtley .NET, ASP.NET, Conversational Apps, Machine Learning, Technology Snapshot, Tutorial 1 Comment

Machine learning is a hot topic these days because the biggest tech companies are focused on taking this technology to a new level. For instance, to help develop autonomous driving cars, better interaction between you and your house with products like the Amazon Echo.

Machine learning is a core sub-area of artificial intelligence. Machine learning enables computers to self-learn without being explicitly programmed. As new data comes available, the computer has the ability to learn, grow, change, and develop itself to make better decision in the future. This technology will help reduce the workload and possible incorrect diagnoses when radiologist read films, reducing the amount of accidents on our highways caused by human error, possible reduction of inappropriate message / images / videos from bullying on social network sites.

This article will touch on one of the many Artificial Intelligence API’s that Microsoft has built for public consumption. We will specifically focus on the step-by-step process of uploading a picture, passing that picture onto the Microsoft Cognitive Services – Computer Vision API, and retrieving different attributes about that image. This is an aspect of AI technology that companies like Facebook & Google are using to try to stop bullying and other issue within social networking. Let’s get started…