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20 Best YouTube channels for AI and machine learning

What are the most interesting and informative YouTube channels about artificial intelligence (AI) and machine learning? Subscribe to these 20 high-quality channels today to stay up to date with the latest AI and machine learning breakthroughs. Siraj Raval:

Why Chinese Artificial Intelligence Will Run The World

With Chinese tech giants Baidu, Alibaba, and Tencent focused on developing sophisticated AI-driven systems in the coming decade, the rest of the world can only watch while China builds the computer systems that will run our world in the decades to come. If you’ve been paying attention in the past year, it seems that all anyone can talk about is the coming artificial intelligence boom on the horizon. Whether it’s the Amazon, Google, or Facebook, everyone seems to be getting in on the AI game as fast as they can.

EPO Issues First Guidelines on AI Patents

The European Patent Office (EPO) has issued official guidelines on the patenting of artificial intelligence and machine learning technologies. The guidelines became valid on November 1st, 2018. When determining whether the claimed subject-matter satisfies this condition, the guidelines note that expressions such as “support vector machine,” “reasoning engine” or “neural network” may not qualify, as these are regarded as terms for mathematical methods which do not have a unique technical character of their own.

A Netflix Web Performance Case Study

Netflix is one of the most popular video streaming services. Since launching globally in 2016, the company has found that many new users are not only signing up on mobile devices but are also using less-than-ideal connections to do so. By refining the JavaScript used for Netflix.com’s sign-up process and using prefetching techniques, the developer team was able to provide a better user experience for both mobile and desktop users and offer several improvements.

Store solar energy as liquid

A research group from Chalmers University of Technology, Sweden, has made great, rapid strides towards the development of a specially designed molecule which can store solar energy for later use. These advances have been presented in four scientific articles this year, with the most recent being pub

Modernizing your build pipelines

Doing Continuous Integration is a lot easier if you have the right tools. In our project at a german car manufacturer, we were tasked with developing new services and bringing them to the cloud. We had a centralized Jenkins instance, shared by all the teams in the department.

A cure for cancer: how to kill a killer

Last month, the Nobel prize in medicine was awarded for two breakthrough scientific discoveries heralded as having “revolutionised cancer treatment”, and “fundamentally changed the way we view how cancer can be managed”. One of them went to a charismatic, harmonica-playing Texan named Jim Allison for his breakthrough advances in cancer immunotherapy. His discovery had resulted in transformative outcomes for cancer patients and a radical new direction for cancer research.

Tensorflow 2.0: models migration and new design

Tensorflow 2.0 will be a major milestone for the most popular machine learning framework: lots of changes are coming, and all with the aim of making ML accessible to everyone. These changes, however, requires for the old users to completely re-learn how to use the framework: this article describes all the (known) differences between the 1.x and 2.x version, focusing on the change of mindset required and highlighting the pros and cons of the new and implementations. This article can be a good starting point also for the novice: start thinking in the Tensorflow 2.0 way right now, so you don’t have to re-learn a new framework (unless until Tensorflow 3.0 will be released).

Horizon: An open-source reinforcement learning platform

Horizon is the first open source end-to-end platform that uses applied reinforcement learning (RL) to optimize systems in large-scale production environments. The workflows and algorithms included in this release were built on open frameworks — PyTorch 1.0, Caffe2, and Spark — making Horizon accessible to anyone using RL at scale. We’ve put Horizon to work internally over the past year in a wide range of applications, including helping to personalize M suggestions, delivering more meaningful notifications, and optimizing streaming video quality.

Peloton: Uber’s Unified Resource Scheduler for Diverse Cluster Workloads

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware. At Uber, cluster management provides an abstraction layer for various workloads. With the increasing scale of our business, the efficient use of cluster resources becomes very important.