ground transportation


Ford's self-driving cars may have delivery robots because humans are too lazy

FOX News

Fox News Flash top headlines for May 22 are here. Check out what's clicking on Foxnews.com Ford is developing self-driving delivery vehicles it plans to launch in 2021, but there's a problem. If there isn't a driver, who's going to bring the package or pizza to your door? In tests with faux-autonomous Domino's Pizza cars, Ford discovered that a lot of people were simply too lazy to make the trip to the curb to get their orders from the car themselves, so it came up with the obvious solution: robots.


Discover the scalability of Railroad in post deployment PTC world

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All this additional hardware, systems, and infrastructure needs to be maintained. In addition, no system, especially a system as complex as this, works without issues from the get go. The maintenance and human capital required to support PTC is tremendous. Calculated to cost up to $22.5bn during the next 20 years2, PTC is the single-largest regulatory expenditure ever imposed on the industry by the Federal Railroad Administration (FRA), according to the Association of American Railroads (AAR). This economic burden will have tremendous effects across the entire supply chain lifecycle and affect every American household.


Drones may soon come with 'spidey-senses' as tiny detectors pick up on vibrations

Daily Mail - Science & tech

Drones and self-driving cars may soon come with'spidey' senses. That's according to engineers in America, who believe the unmanned machines would benefit from sensory detectors similar to those often seen in arachinds. Specifically, they're referring the hairs on a spider's legs, which are linked to special neurons called mechanoreceptors, which flag-up danger through vibrations. If machines had similar characteristics, they'd be able to navigate more effectively in dangerous environments. Until now, sensor technology hasn't always been able to process data fast enough, or as smoothly, as nature.


The 50 Best Free Datasets for Machine Learning Lionbridge AI

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This article is also available in Japanese and Simplified Chinese. Lionbridge AI has assembled a wealth of resources for machine learning and natural language processing activities. In our previous articles, we explained why datasets are such an integral part of machine learning and natural language processing. Without training datasets, machine-learning algorithms would have no way of learning how to do text mining, text classification, or categorize products. This article is the ultimate list of open datasets for machine learning.


U.S. Postal Service Is Testing Self-Driving Trucks

NPR Technology

A mail carrier for the United States Postal Service makes deliveries at a Florida apartment complex in June 2018. The USPS has partnered with TuSimple to launch a multi-state driverless semi-truck test program on Tuesday. It doesn't involve home deliveries. A mail carrier for the United States Postal Service makes deliveries at a Florida apartment complex in June 2018. The USPS has partnered with TuSimple to launch a multi-state driverless semi-truck test program on Tuesday.


Postal Service to test autonomous semi trucks for hauling mail across state lines

USATODAY - Tech Top Stories

The Postal Service is experimenting with self-driving long-haul semi trucks to transport mail between distribution centers. The U.S. Postal Service is testing its first long-haul self-driving delivery truck in a two-week pilot program that will use an autonomous tractor-trailer to deliver mail between distribution centers in Phoenix and Dallas. TuSimple, a self-driving truck company, is providing the vehicle and will have a safety engineer and driver in the cab to monitor its performance and take control if there are any issues, the company said in announcing the test Tuesday. The Postal Service has been exploring the idea for some time, recently soliciting bids to put semi-autonomous mail trucks on the road in a few years that allow a human to sort the mail while being autonomously driven along the route. "We are conducting research and testing as part of our efforts to operate a future class of vehicles which will incorporate new technology to accommodate a diverse mail mix, enhance safety, improve service, reduce emissions, and produce operational savings," said Postal Service spokeswoman Kim Frum.


How AI and analytics will transform the auto industry - THRIVE Europe

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The race to build fully autonomous cars has gone into hyper-drive, with major car-makers such as GM, Daimler, BMW and Audi promising SAE Level 5 autonomous driving by sometime in 2021. Goldman Sachs predicts that robo taxis will grow the ride-hailing and sharing business from $5 billion in revenue today to $285 billion by 2030. Autonomous driving will re-define mobility, and historic earning streams are sure to be toppled. Even with all the road testing the car-makers are doing, the only way the car companies can meet their ambitious goals is by leveraging the power of analytics and artificial intelligence (AI) to learn on real-world roads and accelerate development using simulations. The auto-makers are using simulation techniques such as hardware-in-the-loop (HIL) and software-in-the-loop (SIL) to make this happen.


Self-driving trucks begin mail delivery test for U.S. Postal Service - Reuters

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San Diego-based startup TuSimple said its self-driving trucks will begin hauling mail between USPS facilities in Phoenix and Dallas to see how the nascent technology might improve delivery times and costs. A safety driver will sit behind the wheel to intervene if necessary and an engineer will ride in the passenger seat. If successful, it would mark an achievement for the autonomous driving industry and a possible solution to the driver shortage and regulatory constraints faced by freight haulers across the country. The pilot program involves five round trips, each totaling more than 2,100 miles (3,380 km) or around 45 hours of driving. It is unclear whether self-driving mail delivery will continue after the two-week pilot.


AI and machine learning will throw bigger punches at ad fraud

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In a poll conducted by Integral Ad Science (IAS) 69.0% of agency executives said that ad fraud was the biggest hindrance to ad budget growth, compared with more than half (52.6%) of brand professionals who said the same. How much is ad fraud costing advertisers? Nobody knows, but with estimates ranging from $6.5 billion to $19 billion, there's a lot at stake. Marketers are becoming more assertive in their demands for better fraud prevention measures and they are seeking to increase their knowledge of different fraud types – from bots to unauthorised domain reselling – and wider technology adoptions to drive their Marketing strategies overall. Ad tech providers will need to adapt their technology and techniques to meet this demand.


AI and machine learning will throw bigger punches at ad fraud

#artificialintelligence

In a poll conducted by Integral Ad Science (IAS) 69.0% of agency executives said that ad fraud was the biggest hindrance to ad budget growth, compared with more than half (52.6%) of brand professionals who said the same. How much is ad fraud costing advertisers? Nobody knows, but with estimates ranging from $6.5 billion to $19 billion, there's a lot at stake. Marketers are becoming more assertive in their demands for better fraud prevention measures and they are seeking to increase their knowledge of different fraud types – from bots to unauthorised domain reselling – and wider technology adoptions to drive their Marketing strategies overall. Ad tech providers will need to adapt their technology and techniques to meet this demand.