Oftentimes, sci-fi movie storylines start with a robot that realizes its role, and the roles of other similar robots in a colony.
The plot then progresses as a form of collaboration between these robots, as they deviate from the human-designed objectives, ignoring human safety to some evil control conspiracies.
Continue reading “Developing AI consciousness in connected autonomous vehicles (CAVs)”
Welcome back to my series on building image effects for Android using OpenCV. In this tutorial, which is part 5 of the series, we’re going to build an image pattern—filling a large image with a pattern created by repeating a small image.
The GitHub project for the series is available on this page. The project of this tutorial is available inside the Part 5 folder under the project.
Continue reading “Image Effects for Android using OpenCV: Image Patterns”
Char Stiles is a regular at Algorave events across the East Coast of the United States. Based in Brooklyn, NY, the programmer and artist keeps busy with livecoding events, teaching workshops, and collaborating with Snapchat and artists of all kinds.
Interested in learning the math behind the code as well as exploring the philosophy of machine learning, Stiles is making their own path. I reached out to the creator after Lens Fest 2020 to learn more.
Federated learning is a new way of training a machine learning using distributed data that is not centralized in a server. It works by training a generic (shared) model with a given user’s private data, without having direct access to such data.
For a deeper dive into how this works, I’d encourage you to check out my previous blog post, which provides a high-level overview, as well as an in depth look at Google’s research.
If you’ve ever considered working with the new Core ML framework in iOS, you might have seen a demo video like this:
For a major launch such as this, Apple normally holds a press conference in their Cupertino headquarters. However, due to growing health concerns and widespread retail shutdowns, the company opted instead for an online-only launch for their latest device.
Sporting a powerful 8-core processor and LiDAR scanner, the iPad Pro looks more like a computer replacement than ever before.
Continue reading “The New iPad Pro’s LiDAR Sensor Changes the Augmented Reality Game”
If you’re not a native English speaker and are struggling with writing a professional email, Quillbot can come to your rescue.
It’s a rewriting or paraphrasing tool that can give a neat twist to your text. And not just that, it can check for grammar and plagiarism as well.
It’s a great tool for students, editors, and researchers. It can also be used by writers. As a writer, you must have struggled at least once to find the right word in your article, blog post, or any other text.
Continue reading Quillbot AI Review (2024): Pros, Cons and Alternatives
Maybe you want to get a good pic for a job interview. Maybe you want your photo to be on this year’s Christmas cards.
Or maybe you want a social media display pic that’s totally lit – whatever your game is, you can up it with the best AI headshot generator. Get professional level photos sitting in your home in no time.
I tested some of the best AI headshot generators and compared their outputs. I aimed to find the absolute best headshot generator that creates high-quality professional quality photorealistic images in no time.
Continue reading “7 Best AI Headshot Generators in 2024 (Free And Paid Options)”
As we’ve been working through this series introducing SwiftUI, we’ve so far made an app that allows us to view our team from a list and dive into specific members’ detailed profiles.
However, all our users can do with the app is view dynamic data in a very static UI. The only interaction we’ve provided is the navigation into a team member’s detailed profile.
Continue reading SwiftUI: Interactivity, State Bindings, & Simple Animations
As we make progress in the era of edge computing, the demand for machine learning on mobile and edge devices seems to be increasing quite rapidly.
ML-enabled services such as recommendation engines, image and speech recognition, and natural language processing on the edge (to name a few) are growing, as is the need for processing large amounts of data with reduced latency.
Continue reading “MACE: Deep learning optimized for mobile and edge devices”
