This week in AI & Machine Learning: Saving animals in the rainforest, rescuing humans, digital twins, AWS re:invent, Very Deep VAE, and more!
Hello readers! This post is a few days later than normal due to the holiday, and a much needed long weekend! You can subscribe to our publication on medium to get weekly AI news and more!
Artificial Intelligence News:
Last week we talked about saving elephants with machine learning and opencollar. This week we have more cool news about big tech companies working to save endangered animals! Check out how Google is using machine learning to detect gunshots in the rainforest to monitor for illegal poaching activities.
Seeing more of these types of projects is so cool. If you’re working on something like this for college or a non profit organization, contact us if you need a state of the art data labeling tool, and we’ll get you set up with a Sense Essential account!
AI isn’t just good for saving endangered species, it’s also helping save people! Learn how researchers at Kepler University are using computer vision to improve thermal imaging cameras on drones to help find people lost in the woods.
Combining hardware such as drones and thermal cameras with the power of deep learning truly allows us to solve complex problems like never before!
We must be on a saving lives with AI theme this week! Read how the pharmaceutical industry is using AI, and where they need to improve. This article points out pharma’s slower moving pace in AI adoption vs other healthcare markets. Read more about how you can utilize machine learning in the pharmaceutical space here.
Developer Tools & Education:
I think much less was published this week due to Thanksgiving, but here are some neat things I saw.
Google launches new ML feature for smart scrolling recorder transcripts. This makes it even easier to quickly see the important keywords and sections in a large amount of text. A pretty nifty little feature that could improve the user experience.
Learn how to build and use siamese neural networks in python. This tutorial covers how to generate image pairs and lays a foundation for understanding the model architecture for further uses.
Open AI published results from their new Very Deep VAE (Variational Auto Encoder). I love messing around with generative deep learning models and this may be next on my list of experiments.
Upcoming Online AI & Data Events:
Don’t forget AWS reInvent is online this year! Starting today, you can sign up to see a bunch of really neat talks. A 2nd round of events is also happening in January.
Curious about the latest AI innovations at MIT CSAIL, the largest research lab at MIT? Join us to hear from Lori Glover, Managing Director – MIT CSAIL Global Strategic Alliances. Lori will share some of the exciting AI initiatives across the lab and related success stories. The talk will be valuable for both business and technical audiences.
Get started with computer vision and object detection. I, Sage Elliott, will walk through how to build your own object detector to locate objects in images and videos with Facebook detectron2 and cover practical data labeling methods for you to use in your own projects.
This introductory workshop will get you started with computer vision and walk you through how to build your own object detection system to locate objects in images and videos.
Interesting Podcasts & Interviews:
This podcast covers a lot of topics around artificial intelligence: Autonomous vehicles, Economics of innovation, GPT-3, How will AI change our world and much more!
A few weeks ago we had a news article using digital twins to help aerospace engineering. Dive much deeper into the top of digital twins and their real world applications in this episode of super data science with Theunis Barnard.
Bias in AI systems continues to be a hot topic for good reasons. Listen to this panel discuss the potential impact across multiple fields and and communities
Listen to this conversation with Dileep George to learn about his stance on the importance of mimicking the human brain for AI, Recursive Cortical Networks, Schema Networks, and more.
Notable Research Papers:
Some of the interesting machine learning papers published this week.