Simplify Adding AI to Your Apps — Core ML Say Hello to Watson

Simplify Adding AI to Your Apps — Core ML Say Hello to Watson

  • March 23, 2018
Table of Contents

Simplify Adding AI to Your Apps — Core ML Say Hello to Watson

IBM Watson just announced the ability to run Visual Recognition models locally on iOS as Core ML models. I’m very excited. Before now, it was fairly easy to integrate a visual recognition system into your iOS app by just downloading a model from Apple.

However, the models you can use are very cookie cutter and specific to a standard set of items that it can recognize (cars, people, animals, fruit, etc).But what if you wanted to have a model that could recognize items for a use case specific to you?

Source: hackernoon.com

Tags :
Share :
comments powered by Disqus

Related Posts

Automated front-end development using deep learning

Automated front-end development using deep learning

Automated front-end development using deeplearningSketchCode: Go from idea to HTML in 5secondsAshwin Kumar was previously the co-founder of Sway Finance, a Y Combinator-backed startup that used machine learning to automate accounting. At Insight, he developed a model that allows users to create working HTML websites from hand-drawn wireframes, significantly accelerating the design process. He is now a Deep Learning Scientist at Mythic.

Read More
Deploy TensorFlow models

Deploy TensorFlow models

Don’t follow the TensorFlow docs since they explain how to setup a docker image and compile TF serving that takes forever. We can do much better. Some guy made a docker image with everything already compile on it, so we are going to use that one.

Read More
AI Psychosis

AI Psychosis

Unknown is if they will remain uniquely human. Research in artificial intelligence is making spectacular progress; for manyresearchers, this progress is along the path to developing human-like general AI. This leads to a troubling thought: will a human-like AI inherit human-like disorders of thought?

Read More