Robotics & Automation



NVIDIA GPUs have been on the forefront of accelerated neural network processing and are the de facto standard for accelerated neural network research and development (R&D) plus deep learning training. At the NVIDIA GPU Technology Conference (GTC) in Beijing China earlier this week, the company maneuvered to also become the de facto standard for accelerated neural network inference deployment. At GTC Beijing, NVIDA lined up the major Chinese cloud companies for AI computing: Alibaba Cloud, Baidu Cloud, and Tencent Cloud. At GTC-Beijing, it announced inference designs with Alibaba Cloud, Tencent, Baidu Cloud,, and iFlytek.

Nvidia hails a robotaxi with next step in AI computing


It will be the first of its kind among the autonomous vehicle market, as Nvidia race ahead and offer passengers an on demand service to take them to their destination and giving accessibility to everyone including elderly and disabled passengers. The technology making robotaxis a possibility is Nvidia's Drive PX AI platform, dubbed Pegasus, which delivers all the capabilities of a data centre in a supercomputer the size of a license plate. The size, cost and power demands of existing AI computing solutions, Nvidia claims, makes them impractical for production vehicles. The fleet will use ZF's ProAI self-driving platform for the vehicles, based on Nvidia's Drive PX AI platform.

NVIDIA AI-Driven Autonomous Cars Take Center Stage at GTC Europe


The GPU Technical Conference in Munich is an annual showcase of the best advancements in computer technology, but it seems like it's no place for cars. That is, until autonomous concept cars became the main attraction this year according to NVIDIA, a gaming technology company and now a competitive force in the realm of artificial intelligence. Those who set foot in the International Conference Center this week were greeted with a fleet of autonomous concept vehicles powered by NVIDIA's Artificial Intelligence systems. The theme for this event was the future of mobility, displaying a diverse range of concepts that covered everything from race cars to taxis.

Baidu plans to start mass-producing autonomous vehicles around 2019


Like its US counterparts, Chinese internet titan Baidu has been working on autonomous vehicle research for years. After a failed partnership with BMW, Baidu opened itself up to teaming up with other companies, notably bringing on NVIDIA to power its Apollo self-driving car program. The internet giant has another partner now: Chinese automaker BAIC, which will pair its cars with Baidu's tech to start mass production of level three autonomous vehicles around 2019, followed by L4 vehicles around 2021. Baidu has outlined a roadmap for its line of self-driving cars with scheduled goals: By the end of 2018, BAIC's self-branded vehicles will carry Baidu's Apollo connectivity features along with the internet giant's DuerOS voice assistant, with plans to produce one million of those cars by the next year.

The Morning After: Wednesday. October 11th 2017


NVIDIA, a company best-known for its graphics cards, is making computers for self-driving cars, the company behind Overwatch has something new in the works and the Tamagotchi is back -- for some reason. Google Home Mini bug could make it record audio 24/7 Voice-controlled appliances need to listen in so they can pick up their hotword, but Android Police received a test Google Home Mini that went a little too far. NVIDIA's first AI computer, the NVIDIA Drive PX Pegasus, is apparently capable of level five autonomy -- far beyond the level two and three vehicles we're only just starting to see. Palette's Lego-like controls can make you a faster video editor Until robots take over video editing, you'll still have to fiddle with cuts, colors and sound levels.

NVIDIA AI platform promises fully autonomous taxis by 2018: Is it possible?


On Tuesday, NVIDIA unveiled the world's first artificial intelligence (AI) computer designed to drive fully autonomous vehicles by mid-2018. The new system, named Pegasus, extends the NVIDIA Drive PX AI computing platform to operate vehicles with Level 5 autonomy--without steering wheels, pedals, or mirrors. New types of cars will be invented, resembling offices, living rooms or hotel rooms on wheels. "The company hasn't claimed to have developed all the software, hardware, and data needed for automated driving; it's merely announced that it plans to market a chip that in theory could support the hardware and software envisioned for such a system," Walker Smith said.

Nvidia's new supercomputer is designed to drive fully autonomous vehicles


Nvidia wants to make it easier for automotive companies to build self-driving cars, so it's releasing a brand new supercomputer designed to drive them. The chipmaker claims its new supercomputer is the world's first artificial intelligence computer designed for "Level 5" autonomy, which means vehicles that can operate themselves without any human intervention. The new computer will be part of Nvidia's existing Drive PX platform, which the GPU-maker offers to automotive companies in order to provide the processing power for their self-driving car systems. Huang announced Nvidia will soon release a new software development kit (SDK), Drive IX, that will help developers to build new AI-partner programs to improve in-car experience.

The technology behind driverless vehicles


The Driver PX Pegasus is intended to be the next step in self-driving hardware by being the company's first Level 5 system, meaning it's capable of supporting fully automated driving for fully autonomous vehicles. The company said it can achieve this level of performance due to a combination of factors including the already announced Xavier SoC, which will include a powerful GPU based on Nvidia's next-generation graphics technology (the generation following Volta). Taxi services are the prime target for such technology, using complex scanning cameras, algorithmic environmental analysis and hundreds of thousands of miles worth of road tracking gives driverless cars the capability to safely measure distances to other vehicles and hazards, follow navigation in real time and safely transport along the worlds busy streets. We are really keen to try and improve the efficieny of driverless vehicles and AI can really help future businesses to transport goods quickly and also efficiently store or deliver products across both localised short distances or across country."

Nvidia aims for level 5 vehicle autonomy with Pegasus


By the middle of 2018, Nvidia believes it will have a system capable of level 5 autonomy in the hands of the auto industry, which will allow for fully self-driving vehicles. Pegasus is rated as being capable of 320 trillion operations per second, which the company claims is a thirteen-fold increase over previous generations. In May, Nvidia took the wraps off its Tesla V100 accelerator aimed at deep learning. The company said the V100 has 1.5 times the general-purpose FLOPS compared to Pascal, a 12 times improvement for deep learning training, and six times the performance for deep learning inference.



But while automakers are still dropping level 2 and sometimes level 3 vehicles into the market, NVIDIA has announced its first AI computer, the NVIDIA Drive PX Pegasus that it says is capable of level 5 autonomy. The computing needed to power a self-driving car's AI and data crunching not to mention the huge amounts of data coming from potentially dozens of cameras, LiDAR sensors, short and long-range radar is staggering and usually means there's a small server room stored in the trunk. The new NVIDIA Drive PX Pegasus AI computer is the size of a license plate and uses far less power than the current model. The delivery service is looking to deploy a pilot fleet with the current Drive PX in 2018.