This week in AI & Machine Learning: robots picking strawberries, GitHub Copilot, data augmentation in TensorFlow, deploy ML pipelines, why VCs are investing record amounts into AI startups, and more!
Author’s Note:
In case you missed it last week Sixgill is now Plainsight: You may be noticing some new changes on our site & blog! Read more about our rebranding here.
It’s a new month with new workshops scheduled! Join me at these events if you’re interested in building computer vision models & datasets!
- Intro to Computer Vision: Building Object Detection Models and Datasets – July 29th at 10:00am PDT
- Data Annotation for Computer Vision & AI-Powered Labeling LIVE Demos – Multiple dates and times
🤖 Artificial Intelligence News:
- Microsoft-Owned GitHub Is Trying To Read Software Developers’ Minds With AI ← You can join the waiting list for GitHub Copilot here. Do you think it will change the way developers program software?
- Soft Robotics raises another $10M, citing pandemic-related demand ← Both of these last two stories show how much interest there is in using robots to perform more complicated tasks!
🛠️ Developer Tools & Education:
- Quickly Training Game-Playing Agents with Machine Learning “One of the most fundamental challenges in applying ML to game development is bridging the chasm between the simulation-centric world of video games and the data-centric world of ML.”
- Build, Train, and Deploy ML Pipelines using BERT ← The latest course from deeplearning.ai is out on Coursera!
📅 Upcoming Online AI & Data Science Events:
- NLP Workshop – Summarize and Find Actionable Insights from Textual Survey Data (July 7 – 10:00am PDT)
- Data Annotation for Computer Vision & AI-Powered Labeling LIVE Demo (July 8 – 3:00 pm PDT) “Learn computer vision data annotation techniques for object detection, instance segmentation, classification, and feature point clustering.”
- MLCon: AI and ML Developers Conference (July 14 – 8:00 am PDT)
- Practical Crowdsourcing for ML at Scale (July 20 – 10:00 am PDT) “AI stands on three pillars: algorithms, hardware and training data. While the first two have already become commodities on the market, the latter – reliable labelled data – is still a bottleneck in the industry.”
- Intro to Computer Vision: Building Object Detection Models and Datasets (July 29 – 10:00 am PDT): ← I’ll be teaching this, so come say hi and ask questions!
🎤 Interesting Podcasts & Interviews:
📄 Notable Research Papers:
🤝 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 & Plainsight:
- Sage Elliott is a Developer Evangelist at Plainsight & passionate about making AI more approachable. Connect with Sage on Twitter or LinkedIn.
Plainsight provides custom enterprise AI solutions, end-to-end machine learning lifecycle management, and fast data annotation for computer vision.
