Ford Invests in Argo AI, a New Artificial Intelligence Company, in Drive for Autonomous Vehicle Leadership
-Ford is investing $1 billion during the next five years in Argo AI, combining Ford's autonomous vehicle development expertise with Argo AI's robotics experience and startup speed on artificial intelligence software - all to further advance autonomous vehicles -Founded by former Google and Uber leaders, Argo AI will include roboticists and engineers from inside and outside of Ford working to develop a new software platform for Ford's fully autonomous vehicle coming in 2021; through their equity participation, Argo AI employees will share in the startup's growth -Investment in Argo AI strengthens Ford's leadership in bringing self-driving vehicles to market in the near term and creates technology that could be licensed to others in the future
Tom Simonite for MIT Technology Review: Each of these trucks is the size of a small two-story house. None has a driver or anyone else on board. Mining company Rio Tinto has 73 of these titans hauling iron ore 24 hours a day at four mines in Australia’s Mars-red northwest corner. At this one, known as West Angelas, the vehicles work alongside robotic rock drilling rigs. The company is also upgrading the locomotives that haul ore hundreds of miles to port—the upgrades will allow the trains to drive themselves, and be loaded and unloaded automatically. Rio Tinto intends its automated operations in Australia to preview a more efficient future for all of its mines—one that will also reduce the need for human miners. The rising capabilities and falling costs of robotics technology are allowing mining and oil companies to reimagine the dirty, dangerous business of getting resources out of the ground. Cont'd...
While self-driving cars get most of the credit for capturing the public's imagination, autonomous or nearly autonomous tractor-trailers are starting to move goods across the world's highways.
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Awe-inspiring power and superior flexibility is sheathed within the contoured casing of the HAWK MV-4000. This smart camera builds upon the previous generation by quadrupling processing power and achieving real-time trigger response using an FPGA. Its state-of-the-art algorithms make it an excellent tool for any industry, whether the requirement be code reading, code verification, inspection, guidance, gauging or a combination of all four.