This week in AI & Machine Learning: Drones for home security, Microsoft & GPT-3, Pytorch hooks, GANs for good, emotional intelligence, and more.
Artificial Intelligence News:
You probably have heard a lot about OpenAI’s GTP-3 natural language processing model recently with it making many headlines such as, “too dangerous to release” and “GTP-3 will replace programmers”. The most recent news surrounding the model is Microsoft’s exclusive commercial license to use the API. I’ll be interested to see what Microsoft uses the model for and how they could potentially bake features into products and services.
Amazon is arguably one of the biggest players when it comes to bringing AI directly into homes. At its fall event the company announced several new hardware devices and upgrades. The most interesting announcement in my opinion was the personal home security drone by Ring. You can watch a pretty campy but fun demo of it scaring off a burglar here.
How do you feel about giving a drone with a camera access to your home?
Developer Tools & Education:
I didn’t catch any major tool updates this week, but here are some neat articles & tutorials that may be useful!
Learn about Pytorch hooks and how to use them to increase your machine learning productivity.
Pyimagesearch continues to release new content around optical character recognition (OCR). In this week’s tutorial learn how to apply it to perform Automatic License/Number Plate Recognition (ANPR).
Learn how to use the Open Pose system to speed up your workflow and create cleaner human pose estimations.
If you’re looking for a tool to help annotate images after you download them, checkout Sixgill’s HyperLabel. It can also label feature points for pose detection!
Upcoming Online AI & Data Events:
Check out this amazing lineup of speakers! Animashree Anandkumar (NVIDIA), Alexei Efros (UC Berkeley), Ian Goodfellow (Apple), Andrew Ng (DeepLearning.AI), & Sharon Zhou (Stanford).
Join in the discussion about chapter 5 from the Deep Learning book by Ian Goodfellow.
Join me for a hands on workshop to learn the basics of building a deep learning object detector and how to practically label your own dataset.
Interesting Podcasts & Interviews:
Listen to James Gosling discuss the the early days of the internet, math, teach leaders, and much more.
Listen to Gilbert Eijkelenboom discuss how your brain works, emotional intelligence, and much more.
Burr Settles discusses using machine learning to teach languages at scale.
Some of the interesting machine learning papers published this week.
- Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection
- ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
- Semi-supervised sequence classification through change point detection
- Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles