Artificial Intelligence: Week #17 | 2021

This week in AI & Machine Learning: Lyft sells self-driving car division, robotaxis, AI’s carbon footprint, robot makes paella, self-supervised learning with transformers, RNA Sequencing, how drones are reshaping Africa, and more!

Author’s Note:

Last week I was invited to speak at the San Francisco Bay Association for Computing Machinery group about computer vision and data annotation. You can read the recap here!

Photo by Mike Tsitas on Unsplash

🤖 Artificial Intelligence News:

• Toyota snaps up Lyft’s self-driving cars unit for $550 million ← Similar to the outcome as the Uber self-driving team. It’s interesting to see both major ride sharing services depart from their once bullish stance on building self-driving cars.
• Keeping Employees & Workplaces Safe with Computer Vision AI
• Baidu Will Launch Driverless Robotaxis In Beijing This Week ← Exciting to see another company put autonomous vehicles on roads!
• Google-led paper pushes back against claims of AI inefficiency ← Google shows research suggesting large AI models don’t have to have a high carbon footprint.
• Artificial intelligence is learning how to dodge space junk in orbit
• Computer vision in AI: The data needed to succeed ← Building the right dataset is key for solving problems with machine learning and computer vision. Check out how Sense Data Annotation can help!
• Robot that can cook a paella is causing quite a stir in Spain

🛠️ Developer Tools & Education:

• Advancing the state of the art in computer vision with self-supervised Transformers and 10x more efficient training ← Facebook AI is combining self-supervised learning and transformers to deliver some awesome results!
• Dash Apps that Analyze RNA Sequencing Data for Drug & Vaccine Development
• Fastdebug ← A helpful library for improving torch and fastai errors.
• Adaptive Framework for On-device Recommendation “We are excited to announce an adaptive framework to build on-device recommendation ML solutions with your own data and advanced user modeling architecture.”
• PyTorch implementation of GLOM “Geoffrey Hinton’s new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns).”
• Model-Based RL for Decentralized Multi-agent Navigation
• scikit-learn 0.24.2 is out ← Mostly just minor fixes.

📅 Upcoming Online AI & Data Science Events:

• Dash Bioinformatics: Building RNA Sequencing and Analysis Apps (May 20 2021 1pm ET)
• Deep Learning, Minus the Boilerplate with PyTorch Lightning (May 3 2021 10am)
• Google IO (May 18 20201–9:40am PT) ← I’ve heard there will be some cool machine learning and TensorFlow stuff going on this year!

🎤 Interesting Podcasts & Interviews:

• Keenan Wyrobek discusses how Zipline’s AI-drones are reshaping Africa
• Mapping the world with CARMERA and “road intelligence”
• AI Storytelling Systems with Mark Riedl
• Machine Learning for Equitable Healthcare Outcomes with Irene Chen

📄 Notable Research Papers:

• BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
• Explaining in Style: Training a GAN to explain a classifier in StyleSpace
• Unsupervised 3D Shape Completion through GAN Inversion
• MVS2D: Efficient Multi-view Stereo via Attention-Driven 2D Convolutions
• Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation

🤝 Connect with AI practitioners of all levels

• Stay connected with artificial intelligence and machine learning practitioners around the world! Slack Group | LinkedIn 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.

This story was originally published at sixgill.com