This week in AI & Machine Learning: Data-centric AI, creating better virtual backgrounds, MLCon 2.0, No-code deep learning, and more.
Artificial Intelligence News:
Is It Time for a More Data-Centric Approach?
This interview with AI pioneer Andrew Ng focuses on using data-centric machine learning, which focuses more on datasets instead of the code or model implementation. Read how data-centric AI can help solve big issues on IEEE.
Getting started with data annotation for computer vision can be challenging. This post covers data annotation for different model types, common mistakes, and how to use AI-powered tools to speed up the process. Read how to get started with data annotation here.
Creating Better Segmentation Models for Virtual Backdrops and AR with Computer Vision.
Chances are you’ve used a virtual background while video chatting at some point, but you may not have considered how tricky it can be to engineer. Read how Meta improves background blurring, virtual backgrounds, and augmented reality applications on their official AI blog.
MLCon 2.0 — The AI and ML Developers Conference
The lineup for MLCon 2.0 looks pretty impressive with over 40 industry-leading ML experts! The free AI conference runs through February 22–23, 2022. You can register at cnvrg.io/mlcon
Join thousands of #AI and #ML pros, plus industry experts from Disney, Twitter, LinkedIn, and others at #mlcon 2.0, organized by @cnvrg_io! Intel CTO Greg Lavender will present a fireside chat on AI strategies that you won’t want to miss. Sign up now. https://t.co/0CHIB4Tr3u pic.twitter.com/pFVYwSgy3h— Intel AI (@IntelAI) February 10, 2022
How Will the Super Bowl Change the Future of Venues?
Sports venues are changing to make game-day experiences better. Did you know that SoFi Stadium is the first venue in the United States to implement digital twin technology? Read more in this post: How Will Super Bowl LVI Change the Future of Fandom?