One of the most common potential scenarios involving autonomous cars is using them as driverless taxis; both Uber and Lyft have made self-driving cars a big part of their future strategies. The possibility of hopping into a ride without a driver just got a little closer, at least in California -- as spotted by The Verge, California approved two new autonomous driving programs last week that let companies charge fares for autonomous rides. The two new programs are the "Drivered Autonomous Vehicle Deployment Program" and the "Driverless Autonomous Vehicle Deployment Program," both of which allow approved participants to offer "passenger service, shared rides, and accept monetary compensation for rides in autonomous vehicles." Naturally, interested companies need to get the necessary permits and show the California Public Utilities Commission (CPUC) that they're taking the proper safety measure. They'll need to get a AV Deployment Permit from California's DMV as well as one of two permits issued by CPUC.
Motional, a joint venture between Hyundai and Aptiv, plans to start testing fully driverless cars in Nevada. The state is allowing the company to trial autonomous vehicles without having a safety driver behind the wheel. "The coming months will see the completion of a rigorous, self-imposed testing and assessment period, where we have studied the performance and safety of our vehicles across many thousands of miles and scenarios, on both public and private roads, in close partnership with one of the world's most respected safety assessors," Motional president and CEO Karl Iagnemma wrote in a blog post. "This process will include fully-driverless testing, on closed courses, this year." If all goes well with the closed-course tests, Motional plans to put driverless cars on public roads in Nevada in the coming months.
Enterprise AI companies are increasingly growing in value and relevance. Global IT spending is expected to soon reach, and surpass $3.8 trillion. Enterprise AI companies are at the heart of this growth. This article will explain not only what enterprise AI companies are but also what they produce. We'll also look at how enterprise AI companies are impacting in various fields such as finance, logistics, and healthcare. Enterprise AI companies produce enterprise software. This is also known as enterprise application software or EAS for short. Generally, EAS is a large-scale software developed with the aim of supporting or solving organization-wide problems. Software developed by enterprise AI companies can perform a number of different roles. Its function varies depending on the task and sector it is designed for. In other words, EAS is software that "takes care of a majority of tasks and problems inherent to the enterprise, then it can be defined as enterprise software". Lots of enterprise AI companies use a combination of machine learning, deep learning, and data science solutions. This combination enables complex tasks such as data preparation or predictive analytics to be carried out quickly and reliably. Some enterprise AI companies are established names, backed by decades of experience. Other enterprises AI companies are relative newcomers, adopting a fresh approach to AI and problem-solving. This article and infographic will seek to highlight a combination of both. And focus on the real competitors for mergers and acquisitions as well as product development. To help you identify the best AI enterprise software for your business, we've segmented the landscape of enterprise AI solutions into categories. A lot of these enterprise companies can be classified in multiple categories, however, we have focused on their primary differentiation features. You're welcome to re-use the infographic below as long as the content remains unmodified and in full. The automotive industry is at the cutting edge of using artificial intelligence to support, imitate, and augment human action. Self-driving car companies and semi-autonomous vehicles of the future will rely heavily on AI systems from leveraging advanced reaction times, mapping, and machine-based systems.
The driverless taxi era has finally arrived, in parts of Arizona, at least. Two weeks after Alphabet-owned Waymo started its driverless taxi service to the public in Phoenix, other autonomous vehicle developers are following suit with test vehicles on public roads as well. Until spring this year, Waymo's self-driving vehicles were in their testing phase and were used in up to 10% of the firm's rides. The pandemic forced the company to shutter its doors and temporarily suspend on-road testing, but it is now back online and is expanding its operations. However, as is still required by law, the Waymo One taxi currently requires a human driver to be present to manage the car's autonomous operation and take control when necessary.
Continental AG is taking a minority stake in AEye Inc., a Dublin, California-based developer of LiDAR technology, in order to bring its autonomous vehicle technology to commercial vehicles sooner. Specifically, AEye, founded in 2013, has developed a long-range LiDAR system that can detect vehicles at a distance of more than 300 meters and pedestrians at more than 200 meters. Continental hopes the investment will enhance its current short-range LiDAR technology that is slated to go into production by the end of 2020. Then the AEye system would be deployed in a automotive passenger or commercial vehicle later this decade. "We now have optimum short-range and long-range LiDAR technologies with their complimentary sets of benefits under one roof," said Frank Petznick, head of Continental's advanced driver assistance systems, in a statement.
Amazon Go is the first store where no checkout is required. Customer simply enter the store using the Amazon Go app to browse and take the required products or items they want and then leave. Customer being able to purchase, products without suing a counter or checkout. The following video shows how Self-driving Robot (Delivery Bot and named as YAPE) brings goods directly to you, it uses Facial Recognition to recognize the customer to deliver. It makes delivery fast and easy, bot easily navigates sidewalks. YAPE has a 70 kg loading capacity and can travel 80km on a single charge.
Ten years ago this fall, Google gave us a glimpse of a new device unlike any it had ever built before--a computer-controlled car. It seemed such a strange thing for an Internet company to spend its time and energy on, a "moonshot" as the company's engineers called such massive efforts. But with a single blog post, the search giant promised to reinvent our cars, and our communities, too. It was a big vision for a single invention to carry. And the details were scant. But we quickly filled in the blanks. Software was going to replace our dangerous, congested, sprawling roads with something utterly safe, seamless and organized. Humans would take the back seat in a new network of "ghost roads," as I call them.
Autonomous vehicle design involves an almost incomprehensible combination of engineering tasks including sensor fusion, path planning, and predictive modeling of human behavior. But despite the best efforts to consider all possible real world outcomes, things can go awry. More than two and a half years ago, in Tempe, Arizona, an Uber "self-driving" car crashed into pedestrian Elaine Herzberg, killing her. In mid-September, the safety driver behind the wheel of that car, Rafaela Vasquez, was charged with negligent homicide. Uber's test vehicle was driving 39 mph when it struck Herzberg. Uber's sensors detected her six seconds before impact but determined that the object sensed was a false positive.
Over the years, Fox's animated comedy The Simpsons has successfully predicted several real-life developments. From Donald Trump becoming the United States President to Disney purchasing 20th Century Fox, the show's writers have been correct more than a few times. Though not all their predictions have received the attention they deserve. Back in Season 5, in the episode entitled "Homer Loves Flanders," the frenemy neighbors become better acquainted with each other. At one point, Ned takes his new best friend to a baseball game.
The age of the driverless taxi has arrived – at least in parts of Phoenix, Arizona. Self-driving car company Waymo, owned by Google's parent company Alphabet, announced its autonomous vehicles are now available to the general public (or at least paying customers). The service is only available in a limited area for now, both because regulations in Arizona are relatively permissive and because the cars need a detailed three-dimensional map to tell them all about the road environment. Until earlier this year, the self-driving vehicles were under testing and were used in 5-10% of Waymo's rides. The service has been shut because of the pandemic, but is now back and Waymo is aiming to increase availability.