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Former Ford CEO Mulally won't run for president

Alan Mulally will not be following his successful term as president and CEO of Ford Motor Company with a run at an even bigger presidency. Rumors that the 68-year-old former Boeing exec would make a run at the White House sprouted after his apparent dodging of a reporter's questions about a potential candidacy during a forum in Indianapolis.
"I really think it's important that we all pull together. We really need to pull together around a compelling vision for our country and a comprehensive strategy to do it and work together. We really need to do it," Mulally said at the conference, according to The Detroit News.
He's since clarified by saying, "[I'm] honored at the suggestion, but that is not a role I am considering."

Ford looks to space robots to improve car-to-car communications [w/video]

Ford has partnered with St. Petersburg Polytechnic University for three years to research various kinds of connected vehicle communications. The university tie-up is part of its study of space robots, NASA systems created to enable space-to-Earth communication, and the university's own development of systems that enable communication between the International Space State and Earth.
The objective is for Ford to engineer layers of robust networks and redundancy systems that will allow your car to speak to other cars, to emergency vehicles, to infrastructure like traffic lights and buildings, and to the cloud. Benefits would come in just about every area of transit, from avoiding accidents, to getting medical workers to an accident more quickly, to improving the flow of traffic during rush hour.
Check out the press release below for details on what Ford wants to learn from the JUSTIN Humanoid and NASA Robonaut R2, and a video of technical leader Oleg Gusikhin discussing his interest in the project.

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.