This week in AI & Machine Learning: AI in oil & gas, AI-generated art as NFTs, the top business use cases for AI, AI and renewable energy, do vision transformers see like convolutional neural networks, and more!
Author’s Note:
Earlier this week, I taught a workshop on how to build your own computer vision object detection models and dataset.
We covered computer vision applications, labeling datasets or object detection and instance segmentation, training models with detectron2, and running the model on a video!
You can watch the recording and find the useful links below:
🤖 Artificial Intelligence News:
- Artificial Intelligence (AI) in Oil & Gas Valued to be $4.9 Billion by 2026
- Fetch.ai launches first NFT machine learning platform for AI-generated art
- Zendesk acquires AI automation startup Cleverly to advance customer service
- Deloitte AI Institute Unveils the Artificial Intelligence Dossier, a Compendium of the Top Business Use Cases for AI
🛠️ Developer Tools & Education:
- The surprising impact of mask-head architecture on novel class segmentation
- Time to Embark: Autonomous Trucking Startup Develops Universal Platform on NVIDIA DRIVE
- Your First OCR Project with Tesseract and Python
📅 Upcoming Online AI & Data Science Events:
- Workshop: The Ins and Outs of Apache Kafka (Sep 1- 10:00 am PDT)
- Understanding Graph Convolutional Networks (Sep 7–10:00 am PDT)
- Top challenges and considerations for adopting Machine Learning at Scale (Sep 9–10:00 am PDT)
- TransformX AI Conference 2021 (Oct 6–8:00 am PDT)
🎤 Interesting Podcasts & Interviews:
- GE’s Danielle Merfeld and Arvind Rangarajan on AI and Renewable Energy
- Using Brain Imaging to Improve Neural Networks with Alona Fyshe
- Adaptivity in Machine Learning with Samory Kpotufe
- Data Meshes and Data Reliability
- Exploring a new AI lexicon
- Ilya Sutskever explains the origins of deep learning
📄 Notable Papers:
- Do Vision Transformers See Like Convolutional Neural Networks?
- Fastformer: Additive Attention Can Be All You Need
- Gravity-Aware Monocular 3D Human-Object Reconstruction
- Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
- Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs
- SwinIR: Image Restoration Using Swin Transformer
🐘 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.
