TheSequence Scope: Systematic AI Education

Initially published as 'This Week in AI', a newsletter about the AI news, and the latest developments in ML research and technology

Jun 28, 2020

From the Editor: Systematic AI Education

Artificial intelligence (AI) is one of the most demanded skills in the technology world but talent remains incredibly scarce. This is a combination of the high entry point required to master machine learning skills and the effort required to stay current in this rapidly changing space. Who has time to regularly read long AI research papers? or test the new frameworks and platforms entering the space. If you are a new developer or aspiring data scientist, where do you even get started? This challenge overwhelms individuals as well as companies trying to become more proficient in AI topics.

Recently, we have been very intrigued by the idea of taking a systematic approach to AI education in which you can spend a few mins every day getting familiar with a new research effort, technology or simply understanding a concept relevant to AI applications. You know, the old cognitive theory that if you spend a few mins every day doing something you can become extremely proficient over a long period of time. We have been working on a few ideas in this area that, hopefully, we will be able to share with you soon.

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

AI Research:

SqueezeBERT

Former Tesla AI Leas Forrest Iandola and researchers from UC Berkeley published a paper proposing a new method for optimizing large language models to run un mobile devices.

>Read the research paper here

Self-Supervised Video Understanding

AI researchers from Facebook published a paper outlining a self-supervised model for video analysis.

Cross-Language Skills Benchmark

Microsoft Research published a paper proposing XGLUE, a new benchmark dataset for evaluating cross-lingual transfer capabilities in natural language models.

Cool AI Tech Releases:

NetHack Learning Environment

Facebook Research released a new reinforcement learning environment in the famous NetHack game.

TensorFlow Privacy Library

TensorFlow released a new library that enables the testing of privacy features in deep learning models.

New ML Kit

Google announced some changes in its on-device machine learning framework, ML Kit, including its decoupling from Firebase.

AI in the Real World:

NLP Startup Raises $26 Million

RASA, a startup building a platform for conversational AI agents, raised $26 million from prominent venture investors such as Andreesen Horowitz.

New Apple’s Core ML

Apple’s mobile toolkit got a lot of new and exciting updates including the ability to update models on the fly.

Apple’s AI Strategy

Apple is executing in an AI strategy focused on delivering small conveniences to users instead of large AI initiatives.

‘This Week in AI’ is a newsletter curated by industry insiders and the Invector Labs team, every week it brings you the latest developments in AI research and technology.

From July 14th the newsletter will change its name and format to develop ideas of systematic AI education.

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