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Galpin Ford GTR1 supercar debuts in Monterey

Galpin Auto Sports has finally taken the wraps off the car we first previewed back in December, the Galpin Ford GTR1. A few weeks ago, we posted the first hints of just what the GTR1 would be capable of, with Galpin teasing that its 5.4-liter, twin-turbocharged V8 would produce in excess of 1000 horsepower, with a top speed of 225 miles per hour. Package all that in a coachbuilt body, and you have the recipe for one wicked supercar.
The price for the carbon fiber-bodied car is $1,024,000.
Now, we have all the glorious details. Galpin is targeting a production run of six cars, but if interest is strong enough, will expand its initial quote to 24 vehicles. The price for the carbon fiber-bodied car is $1,024,000. Opting for the aluminum bodywork could lower that, although it's not immediately clear by how much.

Ford posts record pre-tax Q3 profit of $2.6B

Ford took in $2.6 billion in pre-tax profits in the third quarter of the year, making for a record trio of months that saw the Blue Oval's year-over-year earnings increase by $426 million. The earnings are being attributed not just to improvements in North American sales, but sales around the globe.
Revenue was up 12 percent, to $36 billion, although net income took a hit, dropping $359 million to $1.3 billion. Ford was dinged with $498 million in pre-tax charges, which are being blamed for the drop in net income.
The news has boosted Ford's hopes for full-year results, bumping it's total profits up past $8 billion, according to Automotive News. The Dearborn, MI-based manufacturer is still expecting a loss in Europe, although it's forecasted less than the $1.73 billion it burned in 2012. In fact, according to CFO Bob Shanks, Ford's European losses dropped by 51 percent year-over year, a huge improvement for the brand.

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.