1995 Ford F250 Xl 4 Wheel Drive W/fisher 8' Plow ,45108 Miles, on 2040-cars

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Ringbrothers shows off Coyote-powered 1968 Mercury Cougar

We'll openly admit that not every SEMA build is our cup of tea. But this? A tastefully resto-modded 1968 Mercury Cougar with a 460-horsepower Ford Mustang V8? Yeah, this is right in our wheelhouse. Sadly, there was no in-pwerson SEMA show in 2020, so we missed out on gems like this one. SEMA or no SEMA, the aftermarket carries on, and co-owners Jim and Mike Ring of Ringbrothers (get it?) saw no reason to let their time and effort go to waste.  When they're not building wild customs (see: 1,100-horsepower 1972 AMC Javelin AMX) or more subtle showcases (such as this Cougar or their 1971 K5 Chevy Blazer build from 2018), the folks at Ringbrothers crank out factory reproduction parts, whether for old-fashioned restoration or modification purposes. While '60s muscle cars are recurring build subjects for the two, the Cougar was the first of its kind they tackled.  Keeping it in the family, Ringbrothers sourced a Ford 5.0-liter "Coyote" V8 and a 10-Speed Automatic (lifted from an F-150 Raptor, incidentally) for the build. They didn't stop with the driveline, of course. The suspension was overhauled with a little help from DSE and a set of HRE Series C1 C103 Forged 3-Piece wheels were thrown over upgraded brakes.  "We put our heart into each car we build, and this Cougar is no exception," Jim said. "The finished product is mild and classy, yet any enthusiast instantly knows it's not stock. I imagine this is what Mercury designers would have come up with if they were building the Cougar today." "While we couldn't bring the car to the SEMA Show, we hope it can be shown to the public soon," Mike said. "We had never done a Cougar before, so this was a fun build. I love working with new shapes and coming up with new ideas." There's plenty to appreciate about this Cougar apart from the mechanicals, too. The finish is Augusta Green Metallic (courtesy of BASF), which was a factory color in 1968. You may know it by another name: Highland Green. There are a few custom exterior touches, but they're quite subtle and styled to be period-correct. The interior was also restored and updated, and it's where you'll find the only thing we're not fond of: that big, fat truck shifter. Gearbox choices notwithstanding, it's a bit of an eyesore. But considering how gorgeous the rest is, we'll give it a pass.  Related Video:

Ford gathering data to improve how bikes and car interact

More than a hundred years ago, the Ford Motor Company changed the landscape of US cities with its cars, and the company is once again trying to disrupt the way Americans move around their metropolises by ditching four wheels for two. Ford is hoping data will make the difference in its quest to create a city friendly to both cars and bikes with what it calls a "mobility experiment" known as Info Cycle. Engineers are riding bikes with data sensors on the front fork around the tech town of Palo Alto, CA, according to CityLab. This data is analyzed and made public on Ford's open-source site called OpenXC. The sensors record everything from speed to temperature to ambient light. Ford hopes the data give city governments and biking activists the tools they need to make roads safer for all travelers. Along with data gathered from cars, Ford hopes to foster a better urban ecosystem for both bikers and drivers. Ford has tried to crack into the bike market before, but concepts like the Think and e-bike were never fully realized or came to market too early to capitalize on the current transportation revolution. Now that car ownership and miles driven are down and alternative modes of transportation are catching on in the United States, Ford wants to be on the cutting edge of the mobile revolution. Earlier this year, Ford introduced the MoDe:Flex, an electric bike concept, along with the previously announced MoDe:Me and MoDe:Pro. Related Video: News Source: CityLab Green Ford Driving Bikes data

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.