According to the famous US investment website The Motley Fool, Dr. Seuss, an American children's writer and educator, once said: "The head is on your neck, your feet are in your shoes, your own path is your choice, you It is the person who can decide where to go." However, when a driverless car appears, this sentence may no longer be correct. When drones are on the road, they will use artificial intelligence brains to guide us in the direction of their choice. This is because the most important technology in the current unmanned research field is machine learning software and processors that make driverless cars unique. Now, Google (microblogging) is the most concerned in the field of driverless cars, and its driverless cars have automatically traveled more than 1.6 million kilometers without intervention. But behind the significant progress of Google's driverless cars, it is inseparable from the support of another company, the chip maker Nvidia. In the past few years, the company has used its Tegra processor to help Google improve its driverless cars, and recently released the second generation of driverless car software technology. NVIDIA calls it the Drive PX 2 driverless platform, which is also the world's first automotive artificial intelligence supercomputer. This platform can handle 24 trillion deep learning operations per second. The Drive PX 2 combines NVIDIA's processors, sensors, cameras and radar technology to provide a human-like "situational awareness" for driverless cars. This awareness is one of the key factors in making smart cars that are better than human driver driving skills. In order to understand the importance of “situational awarenessâ€, you can imagine yourself driving on the street. Surrounded by a variety of homes, suddenly a basketball rushed to the road. When you see basketball, your brain will automatically tell you that there may be children behind the ball and you should slow down. Streets, homes, basketball, and possibly children all form a “situational awareness.†Experience and years of driving experience combine these facts that we don't even realize, and computers must learn these things. Of course, they can be programmed, but they also require deep learning to call their own driving experience, apply them to future scenarios, and share experiences with other vehicles. This is why the NVIDIA driverless platform is so important. The company believes that the "situational awareness" level of its Drive PX system will eventually surpass that of humans, making driverless cars safer than human drivers. In order to push the driverless brain into the market, NVIDIA is not only working with Google. NVIDIA's first-generation Drive PX was used on the Audi A7 and has traveled nearly 900 kilometers from San Francisco to Las Vegas. But not only is Audi integrating NVIDIA's driverless technology, but more than 50 car manufacturers and auto parts suppliers are also using and testing the company's Drive PX platform, including BMW, Daimler and Ford. IHSAutomotive, a US automotive professional survey company, predicts that by 2015, 10% of light vehicles on the market will be fully automated. Automakers are looking to work with technology companies to develop the necessary hardware and software for future cars. NVIDIA's technology can also be the brain of the car, guiding them in the direction and determining the safest route to their destination. Concerned about surprises Wrought Iron Balcony Railing,Wrought Iron Railings,Iron Railing,Metal Railing MINGYI METAL CRAFTS CO.,LIMITED , https://www.mingyi-ironware.com