CNBC got a first look inside Lyft’s level 5 lab, where it builds self-driving cars that are being tested on roads now.

Self-driving rides are also available to select Lyft passengers in Arizona and Las Vegas, where Lyft opened its app to autonomous vehicle companies Waymo and Aptiv.

Lyft says it’s completed more than 75,000 self-driving rides.

Watch the video to see how the program works.

Wall Street Journal explores the future of satellite internet.

The most reliable streaming providers have typically used cable to deliver content. But that’s all changing with the launch of new and better satellites that could one day give us 5G, low latency data. The Wall Street Journal speaks with the chief of the International Bureau at the FCC to discover how those changes are happening almost overnight.

CNBC takes a closer look at what’s going on with its cryptocurrency project, Libra

When Facebook first announced it was getting into the crypto business—with a basically unregulated currency called Libra—the reaction from Wall Street and government bankers was about as expected. Fast-foward a few months, and Libra is in trouble. The social media giant had lined up a long list of corporate backers for the initiative, including major players in the payments space. And in October 2019, several prominent backers began to back out. Here’s how Facebook’s crypto future got into serious trouble.

In this follow up video to “How To Build An AI Startup With PyTorch,” the great Siraj Raval explores how to make money with TensorFlow 2.0.

From the video description:

I’ve built an app called NeuralFund that uses Tensorflow 2.0 to make automated investment decisions. I used Tensorflow 2.0 to train a transformer network on time series data that i downloaded using the Yahoo Finance API. Then, I used Tensorflow Serving + Flask to create a simple web app around it. I’ll explain what the important parts you should know in Tensorflow 2.0 are, then I’ll guide you through my code & thought process of building an AI startup using it. Enjoy!

By the way, the code for this video is available on GitHub.

While Uber is known as one of the pioneers in self-driving vehicels, its autonomous vehicle division has been a source of contention for investors. TechCrunch recently reported numbers that were less than flattering : The ride-hailing company was spending $20 million a month on developing self-driving technologies.The Wall Street Journal estimates that Uber spent about $750 million on building out self-driving technologies before scaling back in 2018.

However, all is not bleak: Uber ’s autonomous vehicle unit may be about to get a massive ($1 billion+) cash injection?

It’s highly possible, according to news reports indicating a group of investors including SoftBank Group is putting money into the division. The Wall Street Journal reported last night that Uber, more formally known as Uber Technologies Inc., was in “late-stage” discussions with a consortium that would invest in the startup’s self-driving vehicle division.

Siraj Raval breaks down 7 ways that anyone can earn money from anywhere in the world using machine learning. We”ll start by taking a look at whats called the “AI Value Chain” to learn who is currently making money in machine learning so that we can better chart out where we can contribute to the space. From startups, to competitions, to writing books, he covers a lot of material in this one video.