On February 25, the Shanghai Government announced its Implementation Plan for Accelerating the Development of the New Energy Automobile Industry (2021-2025). It proposes that by 2025, smart cars with conditional self-driving functionalities shall enter large-scale production, significant progress will be made to set up a standard system for testing, demonstrating smart cars. City officials noted that so far, Shanghai has opened 560 kilometers of test roads. A total of 152 vehicles from 22 companies have been issued with road test and demonstration qualifications, which make Shanghai the first amongst other Chinese cities. We know you don't want to miss any news or research breakthroughs. Subscribe to our popular newsletter Synced Global AI Weekly to get weekly AI updates.
Data science is one of the most buzzed about fields right now, and data scientists are in extreme demand. And with good reason -- data scientists are doing everything from creating self-driving cars to automatically captioning images. Given all the interesting applications, it makes sense that data science is a very sought-after career. Data science is applied in many field, including in developing self-driving cars. If you're reading this post, I'm assuming that you'd like to learn how to become a data scientist.
Every day across Australia, truckies are driving thousands of kilometres to get fresh produce from farms to markets. But what if the truck could do this job, without a driver? The NASDAQ-listed company TuSimple is celebrating a milestone, after transporting watermelons from Arizona to Oklahoma City using an autonomous truck. There were two humans in the truck during the trial -- and they did take control of the vehicle at the front and back end of the journey -- but for more than 1,500 kilometres, the truck was driving itself. "Our business case is to take the human driver out," TuSimple's Jim Mullen said.
If you're ready to take on a brand new challenge, and learn about AI techniques that you've never seen before in traditional supervised machine learning, unsupervised machine learning, or even deep learning, then this course is for you. Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are five big projects on healthcare problems and one small project to practice.
The Self-Driving car might still be having difficulties understanding the difference between humans and garbage can, but that does not take anything away from the amazing progress state-of-the-art object detection models have made in the last decade. Combine that with the image processing abilities of libraries like OpenCV, it is much easier today to build a real-time object detection system prototype in hours. In this guide, I will try to show you how to develop sub-systems that go into a simple object detection application and how to put all of that together. I know some of you might be thinking why I am using Python, isn't it too slow for a real-time application, and you are right; to some extent. The most compute-heavy operations, like predictions or image processing, are being performed by PyTorch and OpenCV both of which use c behind the scene to implement these operations, therefore it won't make much difference if we use c or python for our use case here.
Do you remember the time when self-driving cars were upon us? It was almost a decade ago when the Autonomous Vehicle division at Google (now Waymo) promised a world where people would be chauffeured around by self-driving robot cars. We were shown computer renderings of futuristic cities filled with autonomous robot taxis and luxurious concept vehicles where riders could rest on fully reclining seats while watching high-resolution TVs. That was what they promised us. As in turns out, they were wrong.
Argo AI is in the business of building self-driving technology you can trust. With experienced leaders in the field and collaborative partnerships with some of the world's largest automakers, we're building self-driving technology that is engineered to scale globally and transform mobility for millions. Talented individuals join our team because they share our purpose to make it safe, easy, and enjoyable for everyone to get around cities. We aspire to impact key industries that move people and goods, from ride hailing to deliveries. Our team delivers solutions to camera-based perception problems on the autonomous vehicle platform. These problems include object detection, scene segmentation, and various classification and regression problems.
Waabi, founded by AI pioneer and visionary Raquel Urtasun, today launched out of stealth to build the next generation of self-driving technology. Waabi's innovative approach unleashes the power of AI to'drive' safely in the real world, bringing the promise of self-driving closer to commercialization than ever before. Waabi also announced today a $83.5-million (USD) Series A financing with backing from best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. The round, which is among the largest Series A rounds ever raised in Canada, was led by Khosla Ventures with additional participation from Uber, Radical Ventures, 8VC, OMERS Ventures, BDC Capital's Women in Technology Venture Fund (WIT), Aurora Innovation Inc., AI luminaries Geoffrey Hinton, Fei-Fei Li, Pieter Abbeel, Sanja Fidler and others. AI and self-driving pioneer Raquel Urtasun is the founder and CEO of Waabi.
Chinese tech giant Baidu and state-owned BAIC Group's ARCFOX Brand have teamed to build 1000 autonomous electric vehicles (EVs) for use as taxis over the next three years -- and claim they've cut manufacturing costs to just $75,000 apiece. The announcement claims the reasonable price is due to maturation in technology and mass production capabilities and makes the vehicle, called the Apollo Moon, only one third of the cost of average L4 autonomous vehicles. Apollo Moon has a projected operating cycle of over five years and is built on the fully electric midsize crossover SUV, Arcfox α-T. As for the tech, it uses the ANP-Robotaxi navigation platform, which is currently in pilot. Baidu claims the architecture can "reduce the weight of autonomous vehicle kits while sharing intelligent driving vehicle data to create a closed-loop information ecosystem."