If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Look out, Uber: Mercedez-Benz is working with a new partner to fill future city streets with autonomous robo-taxis. Daimler, the parent company of Mercedes-Benz, has teamed up with major automotive supplier Bosch for the latest big-name partnership in the self-driving car game. The two companies will work together in a "development alliance" with the goal of creating systems that will make street-ready autonomous vehicles a reality by 2020. The Daimler-Bosch efforts have more than just the development of the self-driving cars in mind -- the endgame is the creation of an entire shared autonomous mobility system for cities, populated by the aforementioned robo-taxis that can be hailed by riders with a smartphone command. The companies will work more specifically to develop systems for Level 4 and Level 5 autonomy.
I'm Nathan Benaich -- welcome to issue #18 of my AI newsletter! I will synthesise a narrative that analyses and links important happenings, data, research and startup activity from the AI world. Grab your hot beverage of choice and enjoy the read! If you're looking to invest, research, build, or buy AI-driven companies, do hit reply and drop me a line. In a massive deal this quarter, Intel CEO agreed to purchase Mobileye for $15.3bn.
Artificial intelligence is taking the automobile industry by storm while all the major automobile players are utilizing their resources and technology to come up with the best. The beauty of devices with artificial intelligence is that it tries to learn from sensory inputs like real sounds and images. In the same way, when intelligence is applied to the technology within an automobile, it would recognize the environment and evaluate the contextual implications when it moves or faces any hurdles. In 2015, the install rate of AI based systems in new vehicles was just 8%; this number is expected to soar to 109% in 2025. This is because different kinds of AI systems will be installed in vehicles.
Real-time communication and collaboration lie at the heart of a new generation of high-definition (HD) digital maps that react quickly to changes in the real world. Autonomous vehicles and construction-site surveys are among the applications that are driving companies toward high-precision mapping performed almost in real time. James Dean, founder and director of technology applications at London, U.K.-based startup SenSat, says, "Digitizing the world is incredibly important. We can make better, faster decisions from that digitized information than is possible with traditional means" Early adopters of SenSat's mapping technology come from the road-construction industry, a sector that today mainly relies on manual surveys conducted at ground level. Surveys can take as long as six weeks and, as a result, can only be performed infrequently during a project.
Nowadays, almost every automaker possesses considerable resources to develop self-driving technology for cars, which is the next big step for the automotive industry. The market for autopilot technology is clearly huge, which is evident by an estimation, that approximately 100 million "connected" cars with the capacity of self-driving will be shipped in 2021. While most auto manufacturers try to invent their own solutions, they will be forced to collaborate with technology companies in fields of both software and hardware to bring self-driving cars to roads. Therefore, in this article I provide a list of the most promising publicly traded tech corporations which should be considered by investors who would like to try to profit from the development of autonomous driving. First of all, let us very briefly look at the technology.
The other day, I sat in a coffee shop across from a student who was studying a complex math problem. The equation took up the entire page, and he sat there staring at it for quite a while. After I thought about how glad I am to not be in school anymore, I started thinking about how jumping into a new investing market can be intimidating. Like the math equation, it can be hard to make sense of all the information on the page. But it doesn't have to be this way, especially if you closely follow what smart companies are doing in new segments and pair that with some good ol' fashioned research.
At CES recently, Qualcomm introduced its Drive Data Platform, which the company claims is designed to intelligently collect and analyze information from vehicle's sensors. In addition, the Drive Data Platform can assist smart cars in accurately detecting location, monitoring and learning driving patterns, perceiving surroundings, and capturing and sharing this data. Clearly, the Drive Data Platform should help Qualcomm to tap into connected and autonomous car market, which has a huge growth potential. According to a research by Boston Consulting Group, the autonomous car market could be a $42 billion market by 2025, which could be around 12-13% of the total auto market. As more and more customers look for improved digital experience in the car, in addition to other parameters, car companies are banking on technological advancements in their interiors to compete with each other.
The other day I sat in a coffee shop across from a student who was studying a complex math problem. The equation took up the entire page, and he sat there staring at it for quite awhile. After I thought about how glad I am to not be in school anymore, I started thinking about how jumping into a new investing market can be intimidating. Like the math equation, it can be hard to make sense of all the information on the page. But it doesn't have to be this way, especially if you closely follow what smart companies are doing in new segments and pair that with some good ol' fashioned research.
It's easy to think that self-driving cars simply need to be programmed with the general set of road rules and then have some form of object detection so that the car's computer can then apply the rules for a given situation. The reality is much more complex, especially due to the varying conditions found on most roads. To make self-driving systems more robust, automakers are looking to artificial intelligence systems, like the one being developed by Nvidia. Learning initially from a human driver, these systems can be trained to handle unpredictable situations like roadblocks, construction and changes in weather. At the 2017 Consumer Electronics Show in Las Vegas, Audi demonstrated a Q7 concept which uses Nvidia's Drive PX 2 technology, which has been designed specifically for automotive applications.
German automaker Audi (audvf) will use U.S. chipmaker Nvidia's (nvda) artificial intelligence computing platform to bring autonomous vehicles to the road by 2020, the companies announced Wednesday night at CES, the annual consumer electronics show in Las Vegas. The partnership is just one of a half a dozen announcements Nvidia CEO Jen-Hsun Huang made that leverages computing power to apply artificial intelligence to a variety of products, including the home and the car. Nvidia also announced a partnership with mapping company HERE (hrte), truck and commercial supplier ZF, and automotive supplier Bosch. ZF and Bosch are adopting Nvidia's computing platform to bring AI to autonomous vehicles. Audi and Nvidia have been working together for nearly a decade, although in the beginning the focus was on using Nvidia's computer graphics chips in Audi's virtual cockpit and navigation.