This week in AI & Machine Learning: Self-driving tractors, wikipedia tests AI, TensorFlow graph neural networks, OpenGL on low-end hardware, simple but effective: CLIP embeddings, and more!
Authors note:
Spots are still available for our last free workshop of the year! You can join Intro to Computer Vision: Building Object Detection Models and Datasets on November 30th at 5:30 pm PST.
My Top AI Highlight:
Computer Vision & AI in Agriculture
Every week we see new companies applying innovative computer vision applications in agriculture. In the links below, you’ll find a few stories using adaptive swarm robotics and self driving tractors in farming applications.
This week I wanted to highlight the Carbon Robotics autonomous weeder using lasers to get rid of weeds in crops! Watch the full demo on multiple crops below:
🤖 Artificial Intelligence News:
- Adaptive Swarm Robotics Could Revolutionize Smart Agriculture
- Self-driving robots key to future of our food
- What’s really happening in the medical robotics market
- Wikipedia tests AI for spotting contradictory claims in articles
- Google’s Australia investment could be a big boost for the nation’s A.I. scene
- How Unity Simulation Pro and Unity SystemGraph use AI to train systems
- Google Cloud encourages more conversational AI with Bot-in-a-Box
- Meltwater acquires Oxford University spin-off, DeepReason.ai, to help build one of the largest knowledge graphs of public information
🛠️ Developer Tools & Education:
- Introducing TensorFlow Graph Neural Networks
- OpenGL Machine Learning Runs on Low-end Hardware
- How to Train State-Of-The-Art Models Using TorchVision’s Latest Primitives
- Permutation-Invariant Neural Networks for Reinforcement Learning
- XLS-R: Self-supervised speech processing for 128 languages
- RLiable: Towards Reliable Evaluation & Reporting in Reinforcement Learning
- On-device training in TensorFlow Lite
📅 Upcoming Online AI & Data Science Events:
- OpenCV Spatial AI Contest (open until November 15th, 2021)
- Deep Learning for Time Series Forecasting, Anomaly Detection and Classification (Nov 15–1:00 pm PST)
- Intro to Computer Vision: Building Object Detection Models and Datasets (Nov 30–5:30 pm PST)
- Practical Weak Supervision with Snorkel and Azure (Dec 2–10:00 am PST)
- DevFest 2021 — AI/ML Edition (Dec 8–9:00 am PST)
🎤 Interesting Podcasts & Interviews:
- Boris Sofman: Waymo, Cozmo, Self-Driving Cars, and the Future of Robotics
- Machine Learning at GSK with Kim Branson
- Four Key Tools for Robust Enterprise NLP with Yunyao Li
📄 Notable Research Papers:
- Simple but Effective: CLIP Embeddings for Embodied AI
- PyTorchVideo: A Deep Learning Library for Video Understanding
- Learning to Compose Visual Relations
- Swin Transformer V2: Scaling Up Capacity and Resolution
- Attention Mechanisms in Computer Vision: A Survey
🐘 About the Author & Plainsight:
- Sage Elliott is a Developer Evangelist at Plainsight & passionate about making AI more approachable. Connect with Sage on Twitter or LinkedIn.
- Plainsight’s vision AI platform streamlines the end-to-end machine learning process. From data annotation through deployment, customers quickly create and successfully operationalize their own vision AI applications to solve highly diverse business challenges. Join the conversation on Slack.
