At CES 2018 Nvidia has unveiled details of its functional safety architecture for Nvidia Drive, its AI autonomous vehicle platform, which uses redundant and diverse functions to enable vehicles to operate safely, even in the event of faults related to the operator, environment or systems. The Nvidia Drive architecture enables automakers to build and deploy self-driving cars and trucks that are functionally safe and can be certified to international safety standards, such as ISO 26262.

Nvidia's big push into the world of autonomous vehicles has attracted a vast amount of customers for what is still early stage technology - over 320, by the company's count. This week at CES the company announced that it's finally making Xavier, an AI chip made for self-driving vehicles that Nvidia announced in 2016, available to customers. And the company's also adding a few marquee names to its list of self-driving technology customers, including Uber and VW.

Google is deepening its push into artificial intelligence (AI) by opening a research center in Beijing, China, even though its search services remain blocked in the country. Google said the facility would be the first its kind in Asia and would aim to employ local talent.

Nvidia has gathered predictions from the world's leading researchers and industry thought leaders concerning the development of AI.

A special-purpose chip for artificial intelligence and other tasks in Google's new Pixel smartphones draws on Intel technology.

The nature of work is changing on a global level at a rapid pace. Sure, it's not the first time work has been dramatically impacted by technology, but the growth of automation, robotics, AI and the like have the potential to displace jobs at an unprecedented rate. And Google will almost certainly be one of the driving forces behind that transformation.

For the second time in recent months, Amazon and Microsoft are teaming up in artificial intelligence, with Google on the sidelines for now. On Thursday the two companies rolled out new tools that will make it easier for developers to use open-source AI software.

Samsung's Montreal office will tackle self-driving cars and image recognition.

Tesla is getting closer to having its own chip for handling autonomous driving tasks in its cars.

Qualcomm Technologies is announcing the acquisition of Scyfer, a company affiliated with University of Amsterdam and focused on cutting-edge machine learning techniques, to add a talented team to its roster.

Apple is working on a processor devoted specifically to AI-related tasks, according to a person familiar with the matter. The chip, known internally as the Apple Neural Engine, would improve the way the company's devices handle tasks that would otherwise require human intelligence -- such as facial recognition and speech recognition, said the person, who requested anonymity discussing a product that hasn't been made public.

Tesla Motors has announced that all Tesla vehicles - Model S, Model X, and the upcoming Model 3 - will now be equipped with an on-board "supercomputer" that can provide full self-driving capability. This in-vehicle supercomputer is powered by the Nvidia DRIVE PX 2 AI computing platform.

Artificial intelligence is the next big frontier in technology.