This week in AI & Machine Learning: AI designing AI chips faster than humans, Kroger drone delivery, government data for AI research, NetHack RL challenge, TensorFlow Quantum, and more!
Author’s Note:
If you’re interested in learning computer vision, join my upcoming live workshops:
- Intro to Computer Vision: Building Object Detection Models and Datasets — June 30th at 5:30pm PDT
- Data Annotation for Computer Vision & AI-Powered Labeling LIVE Demos — Multiple dates and times
You’ll learn how you can build datasets faster and start solving problems with computer vision using your own data.
Or, get started now by trying out Sense Data Annotation to experience the future of computer vision with AI-Powered labeling features!
🤖 Artificial Intelligence News:
- Google is using AI to design its next generation of AI chips more quickly than humans can ← AI creating computer chips for AI is an interesting cycle to think about!
- These creepy fake humans herald a new age in AI
- DeepMind says reinforcement learning is ‘enough’ to reach general AI ← Google DeepMind seems to be doubling down on using reward maximization for Artificial Intelligence creation.
- U.S. Launches Task Force to Study Opening Government Data for AI Research
- Kroger drone delivery takes off in Centerville ← Kroger marks its entry into the drone delivery market by dropping off groceries in Centerville Ohio.
🛠️ Developer Tools & Education:
- Launching the NetHack Challenge at NeurIPS 2021 ← How far do you think reinforcement learning agents can make it in the difficult game NetHack?
- FRILL: On-Device Speech Representations using TensorFlow-Lite
- AI can now emulate text style in images in one shot — using just a single word ← Potentially a awesome data generation technique!
- Leveraging Machine Learning for Unstructured Data Processing at Pixie
- Easy Hyperparameter Tuning with Keras Tuner and TensorFlow
- Training with Multiple Workers using TensorFlow Quantum
📅 Upcoming Online AI & Data Science Events:
- Data Annotation for Computer Vision & AI-Powered Labeling LIVE Demo (June 16–5:00pm PDT) “Learn computer vision data annotation techniques for object detection, instance segmentation, classification, and feature point clustering.”
- Delight: An Improved Apache Spark UI, Free and Cross-Platform (Jun 21–12:00 pm PDT)
- Data Annotation for Computer Vision & AI-Powered Labeling LIVE Demo (June 23–10:00 am PDT)
- Leveraging qualitative research in AI to understand the customer (June 24–6:00 pm PDT)
- Intro to Computer Vision: Building Object Detection Models and Datasets (June 30–5:30 pm PDT): ← I’ll be teaching this, so come say hi and ask questions!
🎤 Interesting Podcasts & Interviews:
- Haptic Intelligence with Katherine J. Kuchenbecker
- Learning to learn deep learning
- Data Science on AWS with Chris Fregly and Antje Barth
- Alison Gopnik on the different (and similar) ways robots and children learn
- Clément Delangue, CEO of Hugging Face, on the power of the open source community
📄 Notable Research Papers:
- DETReg: Unsupervised Pretraining with Region Priors for Object Detection
- ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation
- Space-time Mixing Attention for Video Transformer
- Learning by Watching
- Adversarial Motion Modelling helps Semi-supervised Hand Pose Estimation
🤝 Connect with AI practitioners of all levels
- Stay connected with artificial intelligence and machine learning practitioners around the world! Slack Group | LinkedIn Group | Meetup Group
🦈 About the Author & Sixgill:
- Sage Elliott is a Developer Evangelist at Sixgill & passionate about making AI more approachable. Connect with Sage on Twitter or LinkedIn.
- Sixgill, LLC provides custom enterprise AI solutions, end-to-end machine learning lifecycle management, and fast data annotation for computer vision.
