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Beijing Self-Driving Vehicle Road Tests Topped One Million Km in 2019

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To date, China's self-driving road test efforts have lagged behind other regions. The California Vehicle Administration (DMV) says 64 companies have been granted licenses for road tests with a human in the passenger seat, with former Google self-driving project Waymo the sole company in the state permitted to test without a human in the vehicle. Waymo has completed 2.34 million km of California road tests, followed by GM Cruise's 1.33 million km and others such as Pony.ai, It's not surprising that California is a world leader in self-driving road testing, considering the large number of AI companies located in the state. But a recent report suggests China has picked up speed, with Beijing emerging as a new self-driving vehicle hot spot.


Talking Digital Future: Artificial Intelligence Cointelegraph

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I chose artificial intelligence as my next topic, as it can be considered as one of the most known technologies, and people imagine it when they talk about the future. But the right question would be: What is artificial intelligence? Artificial intelligence is not something that just happened in 2015 and 2016. It's been around for a hundred years as an idea, but as a science, we started seeing developments from the 1950s. So, this is quite an old tech topic already, but because of the kinds of technology that we have access to today -- specifically, processing performance and storage -- we're starting to see significant leaps in AI development. When I started the course entitled, "Foundations of the Fourth Industrial Revolution (Industry 4.0)," I got deeper into the topic of artificial intelligence. One of the differences between the third industrial revolution -- defined by the microchip and digitization -- and the fourth industrial revolution is the scope, velocity and breakthroughs in medicine and biology, as well as widespread use of artificial intelligence across our society. Thus, AI is not only a product of Industry 4.0 but also an impetus as to why the fourth industrial revolution is currently happening and will continue to do so. I think there are two ways to understand AI: the first way is to try giving a quick definition of what it is, but the second is to also think about what it is not.


The future through Artificial Intelligence

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ARTIFICIAL Intelligence (AI) is the wave of the future. This area of computer science emphasising the creation of intelligent machines that work and react like humans is heavily influencing and taking over the way we get on with daily life. Artificial Intelligence is revolutionising industries and improving the way business is conducted. More importantly, it is revolutionising industries and improving the way business is done, being already widely used in applications including automation, data analytics and natural language processing. On a bigger spectrum, from self-driving cars to voice-initiated mobile phones and computer-controlled robots, the presence of AI is seen and felt almost everywhere.


AI, facial recognition, and ethics: Will this new tech invade public privacy?

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We live in an age where we have unprecedented access to almost any information we need. With the emergence of new technology like artificial intelligence (AI), facial recognition, big data and more, the human experience is being changed forever. Almost anything you need is just a tap away; but this access comes at a price--data for data. A simple online search may seem harmless, but before you know it, you're being bombarded with ads offering you exactly what you were looking for. How exactly does this work?


Inside the lab where Waymo is building the brains for its driverless cars

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Right now, a minivan with no one behind the steering wheel is driving through a suburb of Phoenix, Arizona. And while that may seem alarming, the company that built the "brain" powering the car's autonomy wants to assure you that it's totally safe. Waymo, the self-driving unit of Alphabet, is the only company in the world to have fully driverless vehicles on public roads today. That was made possible by a sophisticated set of neural networks powered by machine learning about which very is little is known -- until now. For the first time, Waymo is lifting the curtain on what is arguably the most important (and most difficult-to-understand) piece of its technology stack. The company, which is ahead in the self-driving car race by most metrics, confidently asserts that its cars have the most advanced brains on the road today. Anyone can buy a bunch of cameras and LIDAR sensors, slap them on a car, and call it autonomous. But training a self-driving car to behave like a human driver, or, more importantly, to drive better than a human, is on the bleeding edge of artificial intelligence research.


Machine learning with Python: An introduction

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Machine learning is one of our most important technologies for the future. Self-driving cars, voice-controlled speakers, and face detection software all are built on machine learning technologies and frameworks. As a software developer you may wonder how this will impact your daily work, including the tools and frameworks you should learn. If you're reading this article, my guess is you've already decided to learn more about machine learning. In my previous article, "Machine Learning for Java developers," I introduced Java developers to setting up a machine learning algorithm and developing a simple prediction function in Java.


Machine learning with Python: An introduction

#artificialintelligence

Machine learning is one of our most important technologies for the future. Self-driving cars, voice-controlled speakers, and face detection software all are built on machine learning technologies and frameworks. As a software developer you may wonder how this will impact your daily work, including the tools and frameworks you should learn. If you're reading this article, my guess is you've already decided to learn more about machine learning. In my previous article, "Machine Learning for Java developers," I introduced Java developers to setting up a machine learning algorithm and developing a simple prediction function in Java.


Navigating the Winding Road Toward Driverless Mobility Intel Newsroom

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As we all watch automakers and autonomous tech companies team up in various alliances, it's natural to wonder about their significance and what the future will bring. Are we realizing that autonomous driving technology and its acceptance by society could take longer than expected? Is the cost of investing in such technology proving more than any single organization can sustain? Are these alliances driven by a need for regulation that will be accepted by governments and the public or for developing standards on which manufacturers can agree? The answers are likely a bit of each, which makes it a timely opportunity to review the big picture and share our view of where Intel and Mobileye stand in this landscape.


Talking Digital Future: Artificial Intelligence

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Quantum computing could potentially break much of the encryption algorithms and protocols that currently secure the internet and computational industry as they are. I chose artificial intelligence as my next topic, as it can be considered as one of the most known technologies, and people imagine it when they talk about the future. But the right question would be: What is artificial intelligence? Artificial intelligence is not something that just happened in 2015 and 2016. It's been around for a hundred years as an idea, but as a science, we started seeing developments from the 1950s. So, this is quite an old tech topic already, but because of the kinds of technology that we have access to today -- specifically, processing performance and storage -- we're starting to see significant leaps in AI development. When I started the course entitled, "Foundations of the Fourth Industrial Revolution (Industry 4.0)," I got deeper into the topic of artificial intelligence. One of the differences between the third industrial revolution -- defined by the microchip and digitization -- and the fourth industrial revolution is the scope, velocity and breakthroughs in medicine and biology, as well as widespread use of artificial intelligence across our society. Thus, AI is not only a product of Industry 4.0 but also an impetus as to why the fourth industrial revolution is currently happening and will continue to do so.


Driverless Car AI Software Company Helm.ai Raises $13 Million

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Helm.ai recently announced it raised $13 million in seed funding, according to TechCrunch. The funding was provided by A.Capital Ventures, Amplo, Binnacle Partners, Sound Ventures, Fontinalis Partners, and SV Angel. And over a dozen angel investors also participated, including Berggruen Holdings founder Nicolas Berggruen, Quora co-founders Charlie Cheever and Adam D'Angelo, NBA player Kevin Durant, Gen. David Petraeus, Matician co-founder and CEO Navneet Dalal, Quiet Capital managing partner Lee Linden, and Robinhood co-founder Vlad Tenev. The company was founded by Vlad Voroninski and Tudor Achim with a goal of removing the bottlenecks involved in developing autonomous vehicle technology. Along with the funding announcement, Helm.ai also came out of stealth mode.