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Report: GM struggling to market turbo technology

In the automotive realm, marketing can sometimes prove just as important as the actual product. Take, for instance, Ford's well regarded EcoBoost technology, which couples turbocharging with direct injection to produce more horsepower and reduce fuel consumption. Would it surprise you to hear that General Motors has had similar technology on the market for over three years?
It's true. GM's first turbocharged, direct injected powerplants hit the market for the 2007 model. The 2.0-liter Ecotec mills put down an impressive 260 horsepower and a matching 260 pound-feet of torque, and they were lauded by the press in the engine bays of the Pontiac Solstice, Saturn Sky, Chevrolet Cobalt SS and Chevrolet HHR SS. But few people outside a core group of enthusiasts actually remember this fact.
Says Uwe Grebe, executive director of GM's global advanced engineering, "We didn't have a badge and say, 'This is the most important thing we will put on all our brochures.'" Ford, however, did just that, and it's EcoBoost engines are right at the tips of all our tongues when we discuss today's most advanced powerplants. So, how does The General fix its mistake?

TRANSLOGIC 147: CES 2014 Autonomous Vehicles

We head back to CES in Las Vegas to check on the progress of autonomous vehicles in 2014. We go hands-free on the highway with Audi, narrowly avoid a collision with Ford and hear all about BMW's drifting driverless car. But first we take a ride on Induct's self-driving Navia shuttle.

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.