1934 Ford All Steel Full Custom Truck; 383; 700r4; 9" on 2040-cars

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Watch how a Ford Raptor rolls down the assembly line in Dearborn

Bloomberg TV reporter Matt Miller is the proud new owner of a pretty killer truck. How do we know? The reporter headed to Dearborn, MI to Ford's assembly plant, with a film crew in tow, to see exactly how his new F-150 SVT Raptor and its mother-loving 6.2-liter V8 engine, was screwed together.
The resulting video does an excellent job of summing up how an assemblage of parts and pieces is turned into a triple-black Raptor, thanks to the work of some 1,000 employees and about 20 hours of real time. Click through below to see how the truck is born, with a surprise cameo playing the part of delivery driver at the end.

Ford EcoBoost smashes records at Daytona

Some mighty machines have lapped the banks of the Daytona International Speedway over the years: thunderous V8-powered stock cars, Le Mans-conquering Group C prototypes, open-wheel Champ Cars, knee-dragging superbikes... heck, the infield lake has even hosted powerboat racing. But this - this is the fastest car ever to lap the legendary raceway.
What you're looking at is the new Daytona Prototype being prepared by Riley Technologies for the new United SportsCar Championship. The car, released just last week, is powered by a new 3.5-liter turbocharged V6 from Ford's EcoBoost family, and just obliterated the top speed at the track with a blistering 222.971 miles per hour through the traps.
That's enough to annihilate the previous record that was set, also under Ford power, by Bill Elliott while placing his Thunderbird on pole for the 1987 Daytona 500 that he would go on to win. His 210.364 mph record had stood for 26 years until now.

Ford partnering with MIT, Stanford on autonomous vehicle research

Ask any car engineer what's the biggest variable in achieving fuel economy targets, and he'll tell you "the driver." If one human can't understand human driving behavior enough to be certain about an innocuous number like miles per gallon, how is an autonomous car supposed to figure out what hundreds of other drivers are going to do in the course of a day? Ford has enlisted the help of Stanford and the Massachusetts Institute of Technology to find out.
Starting with the automated Fusion Hybrid introduced in December, MIT will be developing algorithms that driverless cars can use to "predict actions of other vehicles and pedestrians" and objects within the three-dimensional map provided by its four LIDAR sensors.
The Stanford team will research how to extend the 'vision' of that LIDAR array beyond obstructions while driving, analogous to the way a driver uses the entire width of a lane to see what's ahead of a larger vehicle in front. Ford says it wants to "provide the vehicle with common sense" as part of its Blueprint for Mobility, preparing for an autonomous world from 2025 and beyond.