In this inaugural episode of his new podcast, Siraj Raval interview Bryan Johnson.

On the first episode of my educational podcast, I have a very special guest for you! Bryan Johnson is an entrepreneur and venture capitalist that sold his payments company, Braintree, to Paypal for $800 million. What makes him someone I admire is how he decided to use that amount of wealth to improve human life through Science and technology. He invested $100 million into Kernel, a neuroscience startup that he leads and another $100 million into OS Fund, a venture fund that invests in scientist entrepreneurs. He’s also an avid reader, which made for an amazing conversation. We touch on Artificial Intelligence, Science, mathematical mindsets, books, psychedelics, and so much more in this discussion. Enjoy!

Federated Learning (FL) is a distributed approach to machine learning that enables training on a large corpus of decentralized data residing on devices like mobile phones.  FL employs the approach of “bringing the code to the data, instead of the data to the code.” Additionally, it addresses the fundamental problems of privacy, ownership, and locality of data.

Here’s a more in depth look at the approach.

There’s a good high-level overview of federated learning on Google’s AI blog. Devices download the current model, improve it by learning using data local to the phone, and then send a small focused model update back to the cloud, where it is averaged with other user updates to improve the shared model. No individual updates are stored in the cloud, and no training data leaves the device.

While all eyes are on the announcements being made at E3 2019, it’s a good time to examine how AI is changing the gaming industry.

The gaming industry is increasing its business profit day by day and is giving scope to many other industries to collaborate and be the partner of those benefits. The gaming industry tycoons are implementing new things and many other innovative ways to interact with more customers and to increase […]