This week in AI & Machine Learning: Zoox self-driving car, reinforcement learning, AnalyticsCLUB JobExpo, computer vision on scooters, ML feature stores, and more!
Zoox, the self-driving car company that Amazon recently acquired officially unveiled their first autonomous vehicle. And, it looks cool! Unlike most self-driving cars currently in the industry, the Zoox car does not have a driver’s seat. Instead, it’s designed solely for riders.
It’s exciting to see Amazon have a presence in the self-driving car field and will be very interesting to see what they continue to build.
Microsoft offers a look into the latest examples of customers using their reinforcement learning (RL) features in Azure Cognitive Service. It’s interesting to see these real-world applications utilizing RL outside of research settings. With tools like this and the recent breakthroughs of using RL to solve incredibly complex problems, it won’t be a surprise to see more companies adopting it in their AI toolkits.
Spin, the scooter share company is starting to use computer vision and machine learning to detect if users are riding and parking scooters correctly. This could potentially help ease tensions between scooter share companies and cities. It will be interesting to see how riders react to this, especially the detection while riding.
Learn how to use TensorFlow Lite with Android to create a mobile Single Image Super Resolution (SISR) solution using a ESRGAN model.
The first post in an exciting new series covering ArUco markers with OpenCV and Python. The series will continue exploring this subject and eventually get to using OpenCV for augmented reality.
This is a really fun showcase of a TensorFlow JS application. Using your browser and webcam to draw doodle figures of your body feature points.
We talked about TF 2.4 features last week, but here’s an official post of the TensorFlow blog that presents them clearly.
Chatbots & Voice is back with their Linkedin Live happy hour where they talk bots, conversational AI, and what’s going on in the space.
Come discuss chapter 8 “Optimization for Deep Learning” of the deep learning book by Ian Goodfellow.
This will be an informal chat about what it’s like to use conversational Artificial Intelligence for a company. It’ll cover the different ways it can be implemented within an organization, and some of the misconceptions that come with using conversational AI will be discussed.
AnalyticsCLUB JobExpo was created to promote virtual, happy, and healthy hiring within the Data Analytics Community. The signature program from AnalyticsCLUB attracts 150,000 global participants(About 6k recruiters and 150k global seekers).
In this workshop,both theoretical concepts on deep learning, and hands-on code lab will be discussed.
This is a really fun conversation around various aspects of AI, including a pretty deep dive into reinforcement learning. It really made me excited to try to use reinforcement learning in new projects.
There was so much news from AWS re:invent it’s been hard to stay caught up. Listen to this news roundup from the event to stay updated.
Dive in-depth into the new AWS SageMaker Feature Store capabilities and learn why feature stores have seen a massive growth phase in the past year.
Some of the interesting machine learning papers published this week.
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