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NVIDIA unveils platform for fully autonomous cars

Daily Mail

The Pegasus line will be available by the middle of 2018 for automakers to begin developing vehicles and testing software algorithms needed to control future driverless cars, NVIDIA executives told a developers' conference in Munich on Tuesday. The deal between Deutsche Post, ZF and NVIDIA will include future Deutsche Post StreetScooter delivery trucks. In Munich, the three partners are showcasing a prototype StreetScooter running NVIDIA Drive PX chips used to control sensors including six cameras, one radar and one lidar, or 3D laser camera. De Ambroggi said NVIDIA's Pegasus automotive platform was the first with the processing power for automakers to begin developing truly autonomous vehicles, which could be upgraded with software improvements ahead of actual roadway deployments.


Installing Nvidia, Cuda, CuDNN, TensorFlow and Keras

@machinelearnbot

In this post I will outline how to install the drivers and packages needed to get up and running with TensorFlow's deep learning framework. To start, install Ubuntu 14.04 Server. Download the Cuda 7.5 library run file, using wget and install the driver, the toolkit, and samples. CuDNN is a library that helps accelerate deep learning frameworks, such as TensorFlow or Theano.


Nvidia and the GPU: contribution to the AI world of self-driving cars

#artificialintelligence

In other words, GPU delivers better prediction accuracy, faster results, smaller footprint, lower power and lower costs. What is fascinating about Nvidia is that it has a full stack solution architecture for DL applications, making it easier and faster for data scientist engineers to deploy their programs. As part of a complete software stack for autonomous driving, NVIDIA created a neural-network-based system, known as PilotNet, which outputs steering angles given images of the road ahead. In addition to learning the obvious features such as lane markings, edges of roads, and other cars, PilotNet learns more subtle features that would be hard to anticipate and program by engineers, for example, bushes lining the edge of the road and atypical vehicle classes (Source:Cornell university CS department).


The Audi A8: the World's First Production Car to Achieve Level 3 Autonomy

#artificialintelligence

The 2018 Audi A8, just unveiled in Barcelona, counts as the world's first production car to offer Level 3 autonomy. Here that involves driving no faster than 60 kilometers per hour (37 mph), which is why Audi calls the feature AI Traffic Jam Pilot. When the car up ahead stops, the A8's AI hits the brakes in time to avoid rear-ending it. Audi said in a statement that it will follow "a step-by-step approach" to introducing the traffic jam pilot.


Faster machine learning is coming to the Linux kernel

#artificialintelligence

It's been a long time in the works, but a memory management feature intended to give machine learning or other GPU-powered applications a major performance boost is close to making it into one of the next revisions of the kernel. As Red Hat developer Jérôme Glisse explains, this makes it easier for hardware devices like GPUs to directly access the memory of a process without the extra overhead of copying anything. These kinds of speed-ups for CUDA, Nvidia's library for GPU-based processing, would only benefit operations on Nvidia GPUs, but those GPUs currently constitute the vast majority of the hardware used to accelerate number crunching. The third obstacle is hardware support, since HMM requires the presence of a replayable page faults hardware feature to work.


Bosch and Nvidia create an AI supercomputer for self-driving tech

#artificialintelligence

The AI onboard computer is expected to guide self-driving cars through even complex traffic situations, or ones that are new to the car. "Automated driving makes roads safer, and artificial intelligence is the key to making that happen. Driverless cars to be part of everyday life in the next decade Bosch's AI onboard computer can recognize pedestrians or cyclists. As a result, a self-driving car with AI can recognize and assess complex traffic situations, such as when an oncoming vehicle executes a turn, and factor these into its own driving.


Flipboard on Flipboard

#artificialintelligence

The AI onboard computer is expected to guide self-driving cars through even complex traffic situations, or ones that are new to the car. "Automated driving makes roads safer, and artificial intelligence is the key to making that happen. Driverless cars to be part of everyday life in the next decade Bosch's AI onboard computer can recognize pedestrians or cyclists. As a result, a self-driving car with AI can recognize and assess complex traffic situations, such as when an oncoming vehicle executes a turn, and factor these into its own driving.


Nvidia And Mercedes-Benz Go Beyond The Self Driving Car

#artificialintelligence

Nvidia (NASDAQ:NVDA) and Mercedes-Benz parent Daimler AG (OTCPK:DDAIF) (OTCPK:DDAIY) announced a partnership for AI powered Mercedes cars. This will likely be a Tesla, using the new Autopilot 2 based on the Nvidia Drive PX 2, making Tesla the winner of the race. During his CES keynote, Huang mentioned that Nvidia started working on self-driving cars almost ten years ago. While Nvidia may not sell many systems to Daimler this year, by 2018, Nvidia could sell a million or more systems to Daimler, adding something like $250 million to the top line.


Best cars of CES 2017: All the major automotive announcements from the show

#artificialintelligence

The biggest Ford announcement at CES was that it will introduce the Amazon Alexa voice control system to its cars. Toyota wasn't holding back at CES by any measure, introducing the Concept-i - a from-the-ground-up concept vehicle complete with its own artificial intelligence agent, called Yui. At CES the company announced its partnership with Nvidia to deliver the next stages of its self-driving cars, which are stepping into artificial intelligence territory. Audi's German rival Mercedes-Benz also announced a partnership with Nvidia and its AI Car Platform.


CES 2017 Live: NVIDIA CEO Jen-Hsun Huang Keynote The Official NVIDIA Blog

#artificialintelligence

Today, we've announced partnerships with Japan's Zenrin, which maps roads in Japan, and HERE, to integrate NVIDIA technology into their datacenters for mapping., and HERE, to integrate NVIDIA technology into their datacenters for mapping. We're now announcing a new capability on the NVDIIA AI car computer called AI Co-Pilot. It shows a tricked out black Lincoln Continental, with NVIDIA green highlights, loaded with NVIDIA's DRIVE PX AI car supercomputer. There are a billion cars on the road, 20 million rides a day, 300 million trucks traveling 1.2 trillion miles a year and 500,000 buses in operation.