This week in AI & Machine Learning: Tracking Elephants, Tensorflow on Raspberry Pi Pico, detection in the browser, On-Device ML study jam, and more
Sixgill Tip of the Week:
Save time labeling complex objects by using the track forward and smart polygon selection features in Sense Data Annotation. Label in one frame and have it automatically tracked and labeled in the next! Sign-up now and get started with a free 30-day trial.
Artificial Intelligence News:
If you’ve been reading these weekly AI news segments, you’ll know this is far from the first time we’ve seen artificial intelligence used to help elephants! Researchers are now using satellites and computer vision to track vulnerable elephant population more effectively and efficiently.
Learn how cities in the future could end up using machine learning for traffic light control to minimize driving delays. It’s fascinating to think about how cities may change in the future with more connected autonomous vehicles and devices.
Developer Tools & Education:
The Raspberry Pi Pico is now available to buy for only $4! This microprocessor board seems really neat, and it will likely receive wide support and adoption like other Raspberry Pi products. The TensorFlow team is already working on a port of TFlite Micro for it!
In this week’s post from pyimagesearch you will learn about contrastive loss and how it can be used to train more accurate siamese neural networks with Keras and TensorFlow.
Learn how to build your own custom object detection model to run in the browser using TensorFlow.js. If you’re looking for an even faster way to label a dataset, check out our Sense Data Annotation toolset and get started with a free 30-day trial.
In this post from Machine Learning Mastery, learn about choosing an activation function for deep learning models.
Upcoming Online AI & Data Events:
Join this event to learn on-device ML with TensorFlow Lite! There will be talks first then a switch to a hands-on lab led by Googlers and ML GDEs covering Intro to TFLite & Mobile ML, Coral Edge TPU + demo, and hands-on lab of TensorFlow Lite.
Being able to classify and localize where an object is in an image is foundational to many computer vision applications. I’ll be leading this hands-on workshop to get you started with Computer Vision & Object Detection. Hope to see you there!
Join IBM space industry specialists to learn about the space industry, various space tech initiatives, and the AI/ML that powers today’s space age.
PyCascades is just around the corner and since they’re virtual this year they added more tickets after selling out. You can find a list of speakers and talks here.
💜 You like us! 💜 You really like us! 💜— PyCascades (@pycascades) January 4, 2021
We're amazed to that we sold out already! But you know what? We're not limited by a physical venue this year, so we've added MORE TICKETS! Cuz there ain't no party like a west coast (online, quarantined) party. 🥳https://t.co/GNe7dhYuHe
Interesting Podcasts & Interviews:
Max Tegmark, physicist, AI researcher at MIT, and author of life 3.0 talks about AI safety, physics, autonomous weapons, AI alignment, and much more.
Sam Liang, CEO and co-founder of otter.ai talks about using AI to produce speech-to-text transcriptions in real time for video streaming platforms.
Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology tackles understanding for the vast known unknowns in species and biodiversity, and how he came to apply machine learning to his lab’s research.
Jason Gauci, a Software Engineering Manager at Facebook AI discusses their Reinforcement Learning platform, Re-Agent (Horizon) and more.
Notable Research Papers:
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