Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
Video is the world's largest generator of data, created every day by over 500 million cameras worldwide. That number is slated to double by 2020. The potential there, if we could actually analyze the data, is off the charts. It's data from government property and public transit, commercial buildings, roadways, traffic stops, retail locations, and more. The result would be what NVIDIA calls AI Cities, a thinking robot, with billions of eyes trained on residents and programmed to help keep people safe.
AI has become a hot topic among tech corporations, startups, investors, the media, and the public. That's only because machine learning platforms have already been doing hard work for years now. Last month, NVIDIA announced the addition of Huawei and Alibaba as adopters of its system "Metropolis", an AI-platform for smart cities. More than 50 organizations are already using Metropolis and, by 2020, according to NVIDIA, there will be 1 billion video cameras worldwide that could be connected to AI platforms to make cities smarter. When connected to AI, cameras can be used to recognize shapes, faces and even the emotions of individuals, which has varied applications: autonomous cars, video surveillance (traffic flow, crime monitoring), and consumer behavior analysis (reaction to ads for example).
It will be the first of its kind among the autonomous vehicle market, as Nvidia race ahead and offer passengers an on demand service to take them to their destination and giving accessibility to everyone including elderly and disabled passengers. The technology making robotaxis a possibility is Nvidia's Drive PX AI platform, dubbed Pegasus, which delivers all the capabilities of a data centre in a supercomputer the size of a license plate. The size, cost and power demands of existing AI computing solutions, Nvidia claims, makes them impractical for production vehicles. The fleet will use ZF's ProAI self-driving platform for the vehicles, based on Nvidia's Drive PX AI platform.
The GPU Technical Conference in Munich is an annual showcase of the best advancements in computer technology, but it seems like it's no place for cars. That is, until autonomous concept cars became the main attraction this year according to NVIDIA, a gaming technology company and now a competitive force in the realm of artificial intelligence. Those who set foot in the International Conference Center this week were greeted with a fleet of autonomous concept vehicles powered by NVIDIA's Artificial Intelligence systems. The theme for this event was the future of mobility, displaying a diverse range of concepts that covered everything from race cars to taxis.
For example, a company called Intelligent Flying Machines built a drone that can autonomously navigate through a warehouse and match what's on the shelves to what's in the inventory system to help the distribution center manage inventory better. We see a lot of opportunity in other areas like precision agriculture, package delivery, safety and security, and search and rescue. For the areas that I mentioned -- industrial inspection, precision agriculture, package delivery, safety and security, search and rescue -- there's going to be an opportunity for UAVs to solve these challenges in a way they haven't been able to before. Clayton: Nvidia makes Jetson, and Jetson is Nvidia's platform for artificial intelligence for edge devices like UAVs.
Like its US counterparts, Chinese internet titan Baidu has been working on autonomous vehicle research for years. After a failed partnership with BMW, Baidu opened itself up to teaming up with other companies, notably bringing on NVIDIA to power its Apollo self-driving car program. The internet giant has another partner now: Chinese automaker BAIC, which will pair its cars with Baidu's tech to start mass production of level three autonomous vehicles around 2019, followed by L4 vehicles around 2021. Baidu has outlined a roadmap for its line of self-driving cars with scheduled goals: By the end of 2018, BAIC's self-branded vehicles will carry Baidu's Apollo connectivity features along with the internet giant's DuerOS voice assistant, with plans to produce one million of those cars by the next year.
The race car features four electric motors and 15 sensors, and can reach speeds up to 300 kmh (186 mph). Visitors gleefully opened and closed the falcon wing doors in the Model X, while learning about how Tesla Motors equips all its vehicles with the DRIVE PX platform for the second generation Autopilot 2.0 and 2.5. Fully equipped models will have six NVIDIA processors to power Traffic Jam Pilot, virtual cockpit instrumentation, the infotainment system, and headrest tablets for backseat passengers. From the vehicles on display, to our announcement of NVIDIA DRIVE PX Pegasus, the world's first AI computer for Level 5 robotaxis, GTC Europe offers visitors a glimpse into the future of transportation.
A test fleet of autonomous delivery trucks scheduled for deployment next year will be outfitted with self-driving system based on Nvidia's AI processing technology for autonomous vehicles. The 2018 demonstration will use the package delivery company's (ETR: DPW) fleet of 3,400 electric delivery vehicles outfitted with cameras, radar and lidar (light detection and ranging). "The development of autonomous delivery vehicles demonstrates how AI and deep learning are also reshaping the commercial transportation industry," Nvidia CEO Jensen Huang noted in a statement announcing the partnership during a company event this week in Munich, Germany. Drive PX combines deep learning, sensor fusion and machine vision with the ability to figure out location using onboard maps to plot a safe course.
NVIDIA, a company best-known for its graphics cards, is making computers for self-driving cars, the company behind Overwatch has something new in the works and the Tamagotchi is back -- for some reason. Google Home Mini bug could make it record audio 24/7 Voice-controlled appliances need to listen in so they can pick up their hotword, but Android Police received a test Google Home Mini that went a little too far. NVIDIA's first AI computer, the NVIDIA Drive PX Pegasus, is apparently capable of level five autonomy -- far beyond the level two and three vehicles we're only just starting to see. Palette's Lego-like controls can make you a faster video editor Until robots take over video editing, you'll still have to fiddle with cuts, colors and sound levels.
The Pegasus line will be available by the middle of 2018 for automakers to begin developing vehicles and testing software algorithms needed to control future driverless cars, NVIDIA executives told a developers' conference in Munich on Tuesday. The deal between Deutsche Post, ZF and NVIDIA will include future Deutsche Post StreetScooter delivery trucks. In Munich, the three partners are showcasing a prototype StreetScooter running NVIDIA Drive PX chips used to control sensors including six cameras, one radar and one lidar, or 3D laser camera. De Ambroggi said NVIDIA's Pegasus automotive platform was the first with the processing power for automakers to begin developing truly autonomous vehicles, which could be upgraded with software improvements ahead of actual roadway deployments.