Los Angeles, Calif.-based Parallel Systems on Dec. 20 released a video of its new autonomous battery-electric freight cars, which it said showed them “successfully platooning,” or “connecting with one ...
This post was first published on Wellthcare. This week I’ve despaired at how the needs of the few always seem to trump those of the many, especially when it comes to health. It made me feel nervous — ...
Second generation Parallel Systems autonomous-electric rail vehicle. Vehicle is designed to carry cargo containers that might otherwise by transported by trucks or traditional freight trains. No ...
The business of moving goods in the United States is dominated by trucks, which handle about two-thirds of the 20.2 billion tons of freight that’s transported annually. Parallel Systems founder and ...
BAE Systems is developing a parallel hybrid propulsion system designed for medium- and heavy-duty truck applications. The parallel system is the latest version of the company's HybriDrive green ...
Following Federal Railroad Administration (FRA) approval in April and launch of Phase 1 in June, Parallel Systems, in partnership with Genesee & Wyoming (G&W), has transitioned to Phase 2 of its first ...
As Covid-19 spreads throughout the United States, the number of people who need medical attention could overwhelm our health care system. If that happens, estimates vary, but most agree that the need ...
Parallel Systems is preparing to test its autonomous-railcar technology in the Peach State after raising $38 million in growth capital, as the startup aims to give railroads the means to take business ...
Parallel's rail cars do not need a locomotive — they are individually powered. Parallel Systems, an electric rail vehicle maker founded by three SpaceX veterans, picked up nearly $50 million in Series ...
It has only recently become known that two parallel systems of blood formation exist in the body, originating from different precursor cells. Researchers at the German Cancer Research Center (DKFZ) ...
Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...