The danger of artificial intelligence isn’t that it’s going to rebel against us, but that it’s going to do exactly what we ask it to do, says AI researcher Janelle Shane.

From the video description:

Sharing the weird, sometimes alarming antics of AI algorithms as they try to solve human problems — like creating new ice cream flavors or recognizing cars on the road — Shane shows why AI doesn’t yet measure up to real brains.

Azure Machine Learning now offers two editions that are tailored for your machine learning needs, Enterprise and Basic, making it easy for developers and data scientists to accelerate the end to end machine learning lifecycle. The Basic edition is a one stop destination for open source developers and data scientists who are comfortable with a code first experience. The Enterprise edition boosts productivity with no-code machine learning tools for all ML skill levels, and is tailored for enterprises of various sizes, developers, data engineers or data workers.

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Lex Fridman interviews Elon Musk in this fascinating podcast.

Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. This is the second time Elon has been on the podcast. You can watch the first time here: https://www.youtube.com/watch?v=dEv99vxKjVI This conversation focuses on the incredible engineering and innovation done at Neuralink. This work promises to help treat neurobiological diseases, to help us further understand the connection between the individual neuron to the high-level function of the human brain, and finally to one day expand the capacity of the brain through two-way communication with computational devices, the Internet, and artificial intelligence systems. This conversation is part of the Artificial Intelligence podcast.

Transcript (PDF): http://bit.ly/32Lt7M5

This video posted by Microsoft has an interesting look at the challenges holding companies back from digital transformation in the cloud era.

What if we could store data in such a way that we never had to worry about quality loss or degradation? Microsoft Partner Deputy Lab Director Ant Rowstron shares his thoughts on redesigning the datacenter for a cloud-centric world. An ordinary piece of glass could have an extraordinary impact on the ways in which we store data and preserve collective memories. Using silica glass presents an energy efficient, sustainable and nearly indestructible method of data storage that could change the way we preserve our history, movies and music and more.

Discover more about this story at Microsoft Innovation: http://msft.social/b1iM95

This video provides an overview of administration experiences for BDC (Big Data Clusters).

In big data clusters, we ensure that management services embedded with the platform provide fast scale and upgrade operations, automatic logs and metrics collection, enterprise grade secure access and high availability.

Machine learning can be hard but moving your ML model to your embedded device can be even harder.

This article by John Fogart discusss a few pain points in this process, and some solutions.

How do you get from this set of tools, code and data using many different formats, sources, licenses and execution environments into something that you can execute entirely inside some little box—one that may (or may not) be connected to the internet ever again?

Data science and AI have been the force behind the rise of Python adoption .

According to the State of the Octoverse report, Python has beaten out Java to become the second most used language after JavaScript.

The growth of Python can be correlated with a wide range of tools and frameworks. The most notable ones are the surge of Jupyter Notebook, TensorFlow, and NLTK. Jupyter Notebook has risen over 100% YoY for last thee years. Besides, TensorFlow and NLTK were among the most popular projects, thereby increasing the number of contribution from Python users; TensorFlow was fifth in the number of contribution with 9.9k.