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!
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:
- Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
🤝 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.