Author: Fritz

Avatar photo

Fritz

Our team has been at the forefront of Artificial Intelligence and Machine Learning research for more than 15 years and we're using our collective intelligence to help others learn, understand and grow using these new technologies in ethical and sustainable ways.

Articles Fritz has written:

Automatically Pixelate Faces on iOS using Face Detection with Native Swift Code

Avatar photo Fritz
Articles

I recently came across an excellent article from Signal where they introduced a new feature that gives users the ability to automatically blur faces—incredibly useful in a time when protestors and demonstrators need to communicate while protecting their identities.

In the article, Signal also hinted at technologies they’re using, which are strictly platform-level libraries. For iOS, I would guess they have used Vision , an API made by Apple to perform a variety of image and video processing.

Continue reading “Automatically Pixelate Faces on iOS using Face Detection with Native Swift Code”

Intro to Machine Learning on Android — How to convert a custom model to TensorFlow Lite

Avatar photo Fritz
Articles

For developers, the ability to run pre-trained models on mobile signifies an important shift towards edge computing. By being able to perform data processing straight from the user’s phone, private data remains in their hands, apps run more smoothly without having to wait for cellular networks, and your company’s cloud bill is significantly reduced.

Fast, responsive apps can now run complex machine learning models. This technological shift will usher in a new wave of app development by empowering product owners and engineers to think outside the box.

Continue reading “Intro to Machine Learning on Android — How to convert a custom model to TensorFlow Lite”

Tips and Tricks to Keep your Lens Within Lens Studio’s 4mb Limit

Avatar photo Fritz
Articles

Lens Studio can gives one the ability to create some truly amazing augmented reality effects for Snapchat. I’ve found the performance and speed with which these lenses display to be very smooth, and this is due in part to the strict requirements that Snapchat has for the quality of submitted lenses.

However, this performance comes with a price. One of the most challenging things any lens creator faces is fitting everything into the 4mb of space that is allowed.

Continue reading “Tips and Tricks to Keep your Lens Within Lens Studio’s 4mb Limit”

Explainable, Responsible, and Trustworthy Artificial Intelligence

Avatar photo Fritz
AI Articles

About a year and a half ago, I wrote a blog post titled “What Is Explainable Artificial Intelligence and Is It Needed?” In the post, I discussed how transparent and explainable the decision-making process of humans is.

On the other hand, I gave examples of the balance between the performance of AI applications and the decrease in explainability.

Continue reading “Explainable, Responsible, and Trustworthy Artificial Intelligence”

Machine Learning for Computer Vision: Foundations and Use Cases

Avatar photo Fritz
Articles Machine Learning

With advances in camera quality, image fidelity, and neural network research focused on solving image- and video-based challenges, computer vision continues to capture the attention and imaginations of machine learning researchers and practitioners.

But computer vision is an incredibly broad umbrella term that encompasses an array of specific tasks and challenges, and the field continues to expand.

Continue reading “Machine Learning for Computer Vision: Foundations and Use Cases”

Entity Extraction with ML Kit

Avatar photo Fritz
Articles

Entity extraction can be useful when you want to add interactivity to your application based on the context of the text.

For example, if it’s a phone number you can prompt the user to make a call and if it’s an email address you can prompt the user to open the email app. This is achieved by first extracting various entities in the text. In this piece, let’s look at how that can be achieved using Google’s ML Kit.

Continue reading “Entity Extraction with ML Kit”