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Autoblog gets ready for Le Mans with an R8 road trip and Allan McNish

This car is the master link between what Audi does on the race track and sells on the road.
We're attending the 24 Hours of Le Mans with Audi and we figured we'd make the world's biggest endurance race even more interesting by driving from Munich to Le Mans in an R8. We've also had a brief chat with Audi driver Allan McNish, and if you haven't already, check out all the multimedia ways to enjoy the next four days from the Circuit de la Sarthe, then read on.

Audi A9 Concept teased in video, new design chief tells us what to expect in LA

Audi has just dropped another teaser for the A9 Concept it'll be displaying at this month's LA Auto Show. This time around, instead of one static image, we get a tantalizing video of the showcar narrated by new Audi design chief Marc Lichte.
In terms of the A9, we get a better look at the body form than we've yet seen, and we also sneak a peek at its massive, blocky, turbine-style wheels that the conceptual flagship will wear in Los Angeles.
Lichte also takes this video opportunity as a chance to say how-do-you-do to the enthusiast community, commenting not only on his vision for the A9, but also offering up his bona fides in terms of family racing and art heritage. Get to know the man behind the car behind the sheet, here.

Audi will have an autonomous car in 2020 using NVIDIA tech and AI

Audi and NVIDIA have been working together for a while, with most of the results being fancy infotainment systems like the current version of MMI and Audi's Virtual Cockpit display setup. Now the two are partnering to build autonomous vehicles that will leverage NVIDIA technology. Audi has a demonstrator now and promises a fully autonomous car for the year 2020. The tech underlying these new self-driving vehicles is NVIDIA's DRIVE computing platform. It uses the latest in artificial intelligence concepts, including neural networks, which are basically computer science's way of modeling decisionmaking after the way the human brain works. The network is able to learn and improve as it goes by making new connections. Machine learning tasks being handled by neural networks include computer vision, which can use a combination of sensors and cameras to help a computer, in this case the car, figure out what's going on in an environment to navigate through it. The companies are already demonstrating a version of DRIVE, the DRIVE PX 2, in the autonomous Audi Q7 shown above. The crossover is able to figure out its own path and can sense and drive on different types of surfaces, including pavement, grass, and dirt, plus it can navigate the cones of a simulated construction zone while reading dynamic detour signs. In 2018, Audi will expand testing of its autonomous vehicles on California public roads. The manufacturer has been permitted to test cars in the state since 2014. In announcing the expansion, Audi makes a point to mention it intends to follow applicable laws to the letter, which seems like more than a veiled reference to the trouble Uber found itself in recently when it didn't quite meet testing requirements in San Francisco. Audi has also promised Level 3 autonomy from the 2018 A8, which will feature a system called Traffic Jam Pilot to control the steering, throttle, and brakes at speeds below 35 mph. The company's previous autonomous work includes a self-driving RS7 track car named Bobby, which our own Jonathan Buckley got to race against in the Translogic episode below. Related Video: