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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.

2015 Roush Mustang lineup officially revealed

Just last week, Saleen revealed initial details of its tuning program for the new Ford Mustang. And now Roush is following suit.
Available in three stages - based on the V6 (RS), EcoBoost (RS1) and V8 (RS2) models - the 2015 Roush Mustangs all feature the venerable Ford tuner's latest R7 aero kit complete with remodeled fascia, five-blade grille, gaping air dam with integrated driving lamps and splitter. Around back there's a one-piece deck spoiler and "race-inspired lower aero-valance."

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.