Artificial Intelligence: Week #47 | 2020

This week in AI & Machine Learning: Saving elephants, AI in the classroom, Tensorflow 2.4, mitigating unfair bias, get started in Computer Vision, and more!

 

Artificial Intelligence News:

Can artificial intelligence give elephants a winning edge?

I sure hope so! Who doesn’t love elephants? Learn how large tech companies and open source developers have partnered together to create advanced tracking technologies. The device, opencollar contains multiple sensors and runs tinyML models to help keep track of animals and detect anomalies that can help alert the right people to help.

If this project sounds interesting to you, check out their github

 

Can AI Improve Classrooms of the future?

This isn’t the first time we’ve talked about AI in the classroom. A couple months ago we saw how a machine learning grading system caused all sorts of problems. But this proposed use isn’t about assigning scores with AI. Instead, it can be used to gain a better understanding of how students are learning and can be used to make sure that no student gets left behind.

 

Artificial Intelligence Fuels Unprecedented Neurosurgical Progress, with Broad Potential Impact

Learn how AI impacts neurosurgical progress across many applications, from gaining more knowledge with fewer inputs, to classifying tumors more easily, to assisting with spine care, and much more. AI has the potential to drastically change the way we apply new methods of medical treatment. 

 

Zapata raises $38 million for quantum machine learning

Zapata’s mission: “Delivering quantum advantage for customers through real business use cases.” With $38 million to help build its enterprise quantum computing platform, Zapata stands poised to deliver!

 

Developer Tools & Education:

 

Mitigating Unfair Bias in ML Models with the MinDiff Framework

See how Google is making responsible research and development of machine learning easier with their new MinDiff Framework! Available in the responsible AI model remediation library.

 

Tensorflow 2.4.0 Release

Check out the cool new features in TF 2.4.0: asynchronous training of Keras models, NumPy-compatible API, Keras mixed precision API, CUDA11, and more. 

 

Github and Fastai build nbdev 

nbdev is an online environment tool built by github and fastai to help with Automated generation of docs. Continuous integration, and a jupyter notebook hosted on github codespaces. 

 

Build GANs with Keras and TensorFlow

If you’ve ever talked to me about deep learning I’ve probably brought up GANs at some point! This is a great tutorial to get acquainted with them and start building your own.

 

TensorFlow: Advanced Techniques Specialization

Deeplearning.ai released a new advanced course on coursera covering advanced techniques in tensorflow, including custom models, distributed training, computer vision, and GANs.

 

Upcoming Online AI & Data Events:

 

The Hitchhiker’s Guide to Hyperparameter Optimization Dec 2 – 10:00am PST

Welcome to the “Deep Learning in Practice” learning series, presented by Allegro AI. This series is focused on methodologies and tools for machine and deep-learning(ML/DL) projects.

In the 4th session, we will focus on practical experiences and practices on hyperparameter optimization.

 

Regularization for Deep Learning | Dec 3 – 5:30pm PST

Discuss chapter 7 of “Deep Learning” book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

 

Workshop for Computer Vision and Object Detection | Dec 9 – 6:00pm PST

Get started with computer vision and object detection. I, Sage Elliott, will walk through how to build your own object detector to locate objects in images and videos with Facebook detectron2 and cover practical data labeling methods for you to use in your own projects.

 

Introduction to Computer Vision [Live Online] | Dec 15 – 5:30pm PST

This introductory workshop will get you started with computer vision and walk you through how to build your own object detection system to locate objects in images and videos.

 

Interesting Podcasts & Interviews:

 

Charlie Boyle: Pushing the Envelope of Super Computing, NVIDIA DGX A100, Hardware Engg at NVIDIA | Chai Time Data Science

Learn about how the new DGX A100 systems and GPUs are made from Charlie Boyle, the VP of DGX Systems at NVIDIA. 

 

Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas | TWiML

Hear how Sushil thinks COVID-19 is happening in the future enterprise decision making, and gain insights on how to scale machine learning.

 

Enabling Clinical Automation: From Research to Deployment with Devin Singh | TWiML

Join this conversation with Devin Singh to learn about deploying machine learning models, the current state of academic research, and building automated pipelines.

 

Notable Research Papers:

Some of the interesting machine learning papers published this week.

 

About Sixgill:

Sixgill, LLC provides custom enterprise AI solutions, end-to-end machine learning lifecycle management, and fast data annotation for computer vision.

 

More Sixgill Blog Posts:

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