We're Cruise, a self-driving service designed for the cities we love. We're building the world's most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many. Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines.
Robotics today is not the same as assembly line Robots of the industrial age because AI is impacting many areas of Robotics. At the AI labs, we have been exploring a few of these areas using the Dobot Magician Robotic Arm in London. Our work was originally inspired by this post from Google which used the Dobot Magician( build your own machine learning powered robot arm using TensorFlow ...). In essence, the demo allows you use voice commands to enable the robotic arm to pick up specific objects (ex a red domino). This demo uses multiple AI technologies.
With electric vehicles slowly gaining momentum toward becoming the dominant form of transportation in the U.S., two startups have struck up a partnership to help cities and utilities figure out where to put more car chargers. StreetLight Data, which sells transportation data to local governments, will offer Volta Charging's PredictEV tool to its customers. The tool uses AI to generate suggestions about where electric charging infrastructure would be most useful -- an urban planning consideration that is becoming more important as more electric vehicles hit the streets. Today, electric vehicles make up only around 2 percent of new vehicles sold in the U.S., but that number is rising rapidly. In 2020, Pew Research found that the number of EVs sold in the country had more than tripled since 2016.
It's no secret that global mobility ecosystems are changing rapidly. Like so many other industries, automakers are experiencing massive technology-driven shifts. The automobile itself drove radical societal changes in the 20th century, and current technological shifts are again quickly restructuring the way we think about transportation. The rapid progress in AI/ML has propelled the emergence of new mobility application scenarios that were unthinkable just a few years ago. These complex use cases require some rigorous MLOps planning.
In this decade, companies across the globe have embraced the potential of artificial intelligence for digital transformation and enhanced customer experience. One important application of AI is enabling companies to use the pools of data available with them for smart business use. BMW is one of the world's leading manufacturers of premium automobiles and mobility services. BMW uses artificial intelligence in critical areas like production, research and development, and customer service. BMW also runs a project dedicated to this technology called Project AI, for efficient use of artificial intelligence.
Artificial Intelligence is here to transform everything from our daily business lives. It is impacting both positive and negative manners. The experts, the tech-savvy, and even the common people are aware by now that AI is replacing human jobs. The questions and concerns have shifted to when and how, and which jobs will vanish first. If we look at the current situation, we are in the middle of the AI development phase.
When the Indy Autonomous Challenge takes off later this year, all the race cars will look the same -- and no one will be behind the wheel. The IAC is a university-led self-driving car race taking place Oct. 23 at the Indianapolis Motor Speedway with $1.3 million in prizes on offer. The first three teams to cross the finish line in 25 minutes or less after 20 laps (that's about 50 miles) will win what's believed to be the first head-to-head autonomous race. To make sure the race is about building out the software for autonomous driving at high speeds (the average speed will be about 120mph), each team has the exact same modified Dallara AV-21, a typical race car usually with a human driver. Clemson University students helped develop the base car for the race.
There are many predictions about connected and autonomous vehicles, some of them suggesting that fully autonomous, levels 4 and 5 vehicles will begin to become commonplace on public roads from 2025. A study by Vynz Research says the global connected and autonomous vehicle market size was 17.7 million units in 2019; and it predicts that this will reach 51.2 million units by 2025 – a compound growth rate of 17.1% during the period of 2020 to 2025.At present, most vehicles aren't fully autonomous, yet still increasingly rely upon data to operate. With their emergence will be a growth in data. Rich Miller writes in his article for Data Center Frontier, 'Rolling Zettabytes: Quantifying the Data Impact of Connected Cars': "The Automotive Edge Computing Consortium (AECC) is working to help stakeholders understand the infrastructure requirements for connected cars. At Edge Computing World, AECC board member, Vish Nandlall, outlined the group's findings on the volume of data created by autonomous cars and the challenges they will create."
All the sessions from Transform 2021 are available on-demand now. Blaize, a company developing AI edge computing platforms for automotive, enterprise, and computer vision markets, today announced that it raised $71 million in series D funding led by Franklin Templeton and Temasek, with participation from Denso and other new and existing backers. The company says that the funds will be used to support its go-to-market and R&D efforts. The pandemic has accelerated the adoption of edge computing, or computation and data storage that's located close to where it's needed. According to the Linux Foundation's State of the Edge report, digital health care, manufacturing, and retail businesses are particularly likely to expand their use of edge computing by 2028.
While CUE is experiencing a moment in the spotlight, the robot isn't the best three-point shooter the world has ever known. American podiatrist Tom Amberry set the world record for humans, 2,750 consecutive shots, in 1993 at age 71. Ted St. Martin of Jacksonville, Fla., pushed the consecutive mark to 5,221 in 1996 and still holds the record today. Others have achieved a number of basketball shooting feats, some while blindfolded.