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Every week, Invector Labs publishes a newsletter that covers the most recent developments in AI research and technology. You can find this week’s issue below. You can sign up for it below. Please do so, our guys worked really hard on this:

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From the Editor: AI that Fools AI

Adversarial attacks are a common mechanism to evaluate the robustness of neural networks. Conceptually, adversarial attacks use neural networks to create data samples that disrupt the learning process of other neural networks. For almost every machine learning model we know about, there are numerous adversarial models that can create attacks that disrupt its performance. Recently, researchers from MIT created TextFooler, a framework that uses adversarial attacks to trick natural language models such as the ones used in Siri and Alexa.

While adversarial attacks could be a vulnerability for AI models is also an affective mechanism to evaluate its robustness. Companies such as IBM have released frameworks that use adversarial attacks to evaluate and increase the robustness of machine learning models. These techniques has become a mandatory best practice in modern AI solutions as the alternative could lead to catastrophic results. It will be interesting to see how research in adversarial neural networks unlocks the new frontier in AI security and robustness.

Now let’s take a look at the core developments in AI research and technology this week:

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AI Research

AI researchers from IBM and MIT published a paper proposing a method called AutoAI to build machine learning pipelines from raw data.

>Read more in this blog post from IBM Research

Reinforcement Learning for Optimizing Software Systems

Microsoft Researchers published a very ambitious paper proposing a reinforcement learning method to optimize the module configuration in software system.

>Read more in this blog post from Microsoft Research

Fooling Alexa and Siri

Researchers from MIT published a paper introducing TextFooler, a framework that uses adversarial attacks to trick top natural language models.

>Read more in this article from MIT News

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Cool AI Tech Releases

Facebook open sourced PyTorch3D, a framework for deep learning models that operate in 3D environments.

>Read more in this blog post from the Facebook AI Research team

ML Fairness Gym

Google AI research open sourced ML-fairness-gym for exploring the long term impacts of machine learning systems.

>Read more in this blog post from Google AI Research

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AI in the Real World

The US White House is doubling its AI research budget outside the Department of Defense.

>Read more in this coverage from TechCrunch

AI for Analyzing Real Estate Data

AI startup Cherre just raised $16 million to help real estate underwriters make better decisions.

>Read more in this coverage from VentureBeat

AI Discover Molecules that can Fight the Coronavirus

US startups Insilico Medicine leveraged AI to discover new molecules that can be the basics of an effective treatment against the coronavirus.

>Read more in this coverage from Fortune

Written by

CEO of IntoTheBlock, Chief Scientist at Invector Labs, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

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