Top 15 AI Articles You Should Read This Month – June 2020

Usually, every month we write an article about the best and most promising AI research papers from that month. You can check them out here:

• January
• February
• March
• April
• May
• June

In addition to that, we list fifteen AI articles we have found amazing that month. This collection of articles should give you an overview of what happened that month in the AI industry both from technical, business and from an ethical perspective. You can check out previous months here:

• March
• April
• May

Have fun!

NASA needs your help teaching its Curiosity rover how to drive on Mars

Curiosity Rover needs your help! NASA recently published a new online tool called AI4Mars. This tool allows anyone to label parts of the terrain in the landscape surrounding Curiosity and help it learn how to drive on Mars. 

Deepfake Detection Challenge Results: An open initiative to advance AI

Facebook teamed up with other companies to create Deepfake Detection Challange. The goal of the challenge was to improve the development of new ways to detect deepfake videos. They created and shared new data set of more than 100,000 videos that were used for the challenge.

AI researchers say scientific publishers help perpetuate racist algorithms

Paper called “A Deep Neural Network Model to Predict Criminality Using Image Processing” raised a lot of heat. The problem is that algorithm is biased. This caused a coalition of AI researchers to publish an open letter based on leading Black AI scholars, which debunks the scientific basis of the paper and asserts that crime-prediction technologies are racist. 

Slightly Unnerving AI Produces Human Faces Out of Totally Pixelated Photos

The very cool algorithm that is able able to create photo-realistic faces from pixilated images. It has many problems because it seems that the authors used biased data, so we are slowly drifting into ethical concerns here as well. Still, we can learn a lot from this. 

NeoML Released as TensorFlow Alternative 

NeoML framework is a cool new alternative if you are developing deep learning models for mobile devices. The publishing company ABBY is describing it as a cross-platform deep learning framework that works 20 times faster than TensorFlow for pre-trained image processing models, regardless of device.

Google Meet takes on Zoom with AI-powered noise cancellation

Zoom dominated 2020 because of the whole Covid situation. Google is trying to get some piece of that cake by extending Google Meet with noise cancellation for video conferencing.

Machine learning helped demystify a California earthquake swarm

California is hit with four-year-long swarm of tiny earthquakes, because of groundwater. Now, scientists are able not only to predict them but to identify the problem and propose the measures using ML.

Google’s MixIT AI isolates speakers in audio recordings

Digest of a cool paper in which researchers propose mixture invariant training or MixIT. This is an unsupervised approach to separating, isolating, and enhancing the voices of multiple speakers in an audio recording. 

IBM says it is no longer working on face recognition because it’s used for racial profiling

IBM’s CEO Arvind Krishna said in the open letter to the government that the company opposes any technology used “for mass surveillance, racial profiling, violations of basic human rights and freedoms.”

Recent Advances in Google Translate

Catch up with the recent NLP advances that ended up in new Google Translate.

TensorTrade: Trade Efficiently with Reinforcement Learning

This is one very cool framework if you are into Reinforcement Learning and Trading. It provides means for building, training, evaluating, and deploying robust trading algorithms.

How Artificial Intelligence Could Help Video Gamers Create the Exact Games They Want to Play

A really interesting article on how AI can help video game makers create new and beautiful worlds. The ideas come from Matthew Guzdial, an AI researcher and assistant professor at the University of Alberta. He and his team are working on software that will be able to build video games from scratch.

Russian Voice Assistant Alice Can Paint Landscapes and Abstract Concepts on Command

A new voice assistant created Yandex – Alice uses two neural networks to figure out what to draw based on what it is told. 

Microsoft researchers say NLP bias studies must consider role of social hierarchies like racism

With everything that is happening in USA, ethical AI is a big topic of the month. While IBM stopped working on facial recognition products, Microsoft focuses on language and on NLP. Even recently published GPT-3 has racial bias.

Grading on a Curve? Why AI Systems Test Brilliantly but Stumble in Real Life

Everyone working in the industry knows that developing and testing a model is one thing and deploying it to production is whole another thing. This article explores the challenges of pushing AI algorithms in production.