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Self-Driving Car Tested in Cross-Country Road Trip

A few years ago self-driving cars were just a daydream, but they’re now being tested on the nation’s roadways. Google, together with the help of individuals from Carnegie Mellon and teams from Stanford, have done great things to propel the industry of self-driving cars forward. Now, many companies have stepped into the lime light and ventured into the autonomous car industry.

I am proud to see a home-grown engineering firm develop self-driving technology and introduce it to the rest of the country on a coast-to-coast drive.

One specific company is Torc Robotics. The Blacksburg, Virginia based-corporation develops driverless car and unmanned ground vehicle robotic technologies.

Michael Fleming, the CEO of Torc Robotics, has recently announced that their self-driving car just completed a cross-country road trip. This project was deemed a success and critical to the continuous innovation of driverless technology.

Using the autonomous Lexus SUV model, the vehicle drove more than 4,300 miles through 20 states. Its expedition began on July 7th in Washington D.C. and finished in Richmond, Virginia.

According to Fleming, “We are passionate about autonomous technology and are convinced it will help make our world safer and more sustainable. We’ve been working on our technology for more than 10 years and we are thrilled that the auto industry is finally ready for self-driving cars. Torc can provide the engineering expertise and proven technology to make self-driving cars a reality.”

Three certified safety drivers and an engineer of Torc Robotics were involved in the trip. Additionally, it was reported that someone was always sitting behind the wheel in case of an emergency.

During the cross country road expedition, Terry McAuliffe, the Governor of Virginia, and Karen Jackson, the Secretary of Technology, got the chance to experience riding in the autonomous car.

McAuliffe said “I want to congratulate Torc on accomplishing this incredible feat. I am proud to see a home-grown engineering firm develop self-driving technology and introduce it to the rest of the country on a coast-to-coast drive.”

Ultimately, the aim of Torc Robotics is to test the Lexus SUV in different weather conditions and during different roadway situations.

Evolution of Torc Robotics

The First Cross Country Autonomous Driving Car Passed The Test.

Torc Robotics made its mark, within the industry of self-driving vehicles, when its car was one of three winners of the 2007 DARPA Urban Challenge.

The DARPA Urban Challenge is a prized competition for autonomous vehicles in America that is funded by the Defense Advanced Research Projects Agency.

After winning, Torc retained its talent and was able to grow impressively in size and continue enhancing their innovative technology. The premier voyage of Torc Robotics was when it made the 1,000-mile round trip from Virginia HQ to Ford’s Piquette Avenue Plant in Detroit.

Torc Robotics was also the very first corporation to be involved in Washington’s newly made Autonomous Vehicle Pilot Program. Signed by Jay Inslee, the Governor of Washington, the executive order is a permit that will allow companies to test their self-driving cars within the state.

The industry of autonomous vehicles will continue to improve its technology, and Torc Robotics is at the forefront. The company is excited with their fast progress, sustained success, and the possibility for greater innovations to come.

Google Expands Speech Recognition Software to Support New Languages

Google has announced that it will expand its speech recognition capabilities to support new languages. The global giant has said this move is part of its efforts to build on emerging markets, like India and Africa. Their considerable growth in developing a superior vernacular database will boldly impact the way we communicate across the world as well as with our own technology.

New users, and typically young users, are utilizing voice and video more than type. Therefore, tech giants are quickly tapping into this market.

The company states that 30 new languages and locales will be added, bringing the total to 119. According to Tech Crunch, the move means more people will have the ability to search the web by voice, as well as type via voice, using Google’s Gboard app.

The new languages will also be added to the Cloud Speech API, which currently supports 89 languages, and is used in several third-party voice and video applications; including transcription services, IVR applications, speech analytics applications and more. The new languages will also be added to Google Translate and other applications in due course.

A recent study by Search Engine Land expects that by 2020 more than 50% of all searches will be conducted by voice. Google revealed that more than 20% of its searches were conducted by voice last year, and an increasing amount of customers are using their voice services on a daily basis.

According to PRWeb, voice-search devices are becoming extremely popular and more people are using the technology to search the internet or to make commands.

Tech Giants Expand Beyond Traditional Digital

Tech giants are moving into emerging markets and new sectors, like Google’s jump into healthcare. As the price of internet access and technologies fall dramatically around the world, more people are frequently connecting to the web. Subsequently, companies like Google are becoming the first to target these new markets, increasing their sales and improving technology in these developing regions.

Four people with a phone.

“In India, especially, Google’s move to expand speech recognition tech could have a significant impact. The country is estimated to have some 420 million mobile internet users as of this June, making India one of the biggest markets in the world for companies like Apple, Google and Facebook to address,” Tech Crunch writes.

Google recently told The Wall Street Journal that it’s seeing “a new kind of internet user” – a group that’s “very different from the first billion” in terms of how they access the internet. New users, and typically young users, are utilizing voice and video more than type. Therefore, tech giants are quickly tapping into this market.

To develop their speech recognition capabilities for these new languages, “Google combined human labor with its machine learning technology.” The tech giant says that it has worked with native speakers in each territory to collect speaking samples to ensure their recognition software is up-to-date and accurate. They say this move has also helped to train their machine learning models to better understand the different words, so they can provide users with the best service.

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