Goto

Collaborating Authors

Transportation


Uncharted Waters: Maritime Blazes a Trail with AI

#artificialintelligence

Whether shipping organizations work together with huge companies such as Microsoft and Google or one of the many new maritime startups (whose numbers have recently exploded with "more than $3.3 billion …invested in digital startups in the shipping and logistics sector") it appears that shipping is not just ripe for change anymore, it's changing. If you need more convincing, a recent Inmarsat survey of 125 global ship owners found that "ship owners are far more open to deploying IoT tools for analytic, management, and operational purposes than some other industries, including mining and agriculture" and "average expenditure per business on IoT based solutions will amount to $2.5 million over the next three years" while IDC tells us that "The DX (digital transformation) programs that will receive the most funding in 2018 are digital supply chain and logistics automation ($93 billion)". An industry that has often been described as "behind the times" is now proving itself to be quite the opposite. With this in mind, I ask several experts in shipping and maritime innovation and technology, representing both large organizations and startups, to share their thoughts on how they see AI impacting the shipping industry right now.


How to Improve Computer Vision in AI Drones Using Image Annotation Services?

#artificialintelligence

The Autonomous flying drone uses the computer vision technology to hover in the air avoiding the objects to keep moving on the right path. Apart from security surveillance and Ariel view monitoring, AI drone is now used by online retail giant Amazon to deliver the products at customer's doorstep revolutionizing the transportation and delivery system by logistics and supply chain companies. Cogito and AWS SageMaker Ground Truth have partnered to accelerate your training data pipeline. We are organising a webinar to help you "Build High-Quality Training Data for Computer Vision and NLP Applications". After registering, you will receive a confirmation email containing information about joining the webinar.


Global Big Data Conference

#artificialintelligence

In many of the conversations with our (potential) customers, we discuss the power of artificial intelligence. In many publications the usage of AI is almost promoted as "the land of milk and honey" -- but those with a bit of experience will be able to tell you that using AI is not always the answer, and it's not as easy to implement as many try to make you believe. But with the right use-cases defined, it can help your company -- or you as a person -- make life easier or create specific added value. I'd like to tell you about how AI improved my personal life in five examples. With each of the examples, I will refer to a business or use-case that could be of value to you.


AI & Automotive -- 5 Disruptive Use-Cases

#artificialintelligence

A driverless car running on the road is like a screenshot from a sci-fi movie. However, fiction is becoming a reality, and thanks to #Artificial Intelligence (AI). AI technology complements the concept of self-driving cars. Elon Musk had in 2017 that all cars will be #autonomous in 10 years without any steering wheel. We are very close to bringing this estimate to reality in just 4 years.


Neural Nets Aren't Black Boxes

#artificialintelligence

If you think neural nets are black boxes, you're certainly not alone. While they may not be as interpretable as something like a random forest (at least not yet), we can still understand how they process data to arrive at their predictions. In this post we'll do just that as we build our own network from scratch, starting with logistic regression. If you think neural nets are black boxes, you're certainly not alone. While they may not be as interpretable as something like a random forest (at least not yet), we can still understand how they process data to arrive at their predictions.


Ex-Google Exec Sent to Prison for Stealing Robocar Secrets

#artificialintelligence

A former Google engineer has been sentenced to 18 months in prison after pleading guilty to stealing trade secrets before joining Uber's effort to build robotic vehicles for its ride-hailing service. The sentence handed down Tuesday by U.S. District Judge William Alsup came more than four months after former Google engineer Anthony Levandowski reached a plea agreement with the federal prosecutors who brought a criminal case against him last August. Levandowski, who helped steer Google's self-driving car project before landing at Uber, was also ordered to pay more than $850,000. Alsup had taken the unusual step of recommending the Justice Department open a criminal investigation into Levandowski while presiding over a high-profile civil trial between Uber and Waymo, a spinoff from a self-driving car project that Google began in 2007 after hiring Levandowski to be part of its team. Levandowski eventually became disillusioned with Google and left the company in early 2016 to start his own self-driving truck company, called Otto, which Uber eventually bought for $680 million. He wound up pleading guilty to one count, culminating in Tuesday's sentencing.


Evil AI: These are the 20 most dangerous crimes that artificial intelligence will create

ZDNet

From targeted phishing campaigns to new stalking methods: there are plenty of ways that artificial intelligence could be used to cause harm if it fell into the wrong hands. A team of researchers decided to rank the potential criminal applications that AI will have in the next 15 years, starting with those we should worry the most about. By using fake audio and video to impersonate another person, the technology can cause various types of harms, said the researchers. The threats range from discrediting public figures to influence public opinion, to extorting funds by impersonating someone's child or relatives over a video call. The ranking was put together after scientists from University College London (UCL) compiled a list of 20 AI-enabled crimes based on academic papers, news and popular culture, and got a few dozen experts to discuss the severity of each threat during a two-day seminar.


Developing Artificial Intelligence in Russia: Objectives and Reality

#artificialintelligence

Russia's leaders have been paying close attention to artificial intelligence (AI) technologies for several years now. President Vladimir Putin has said on numerous occasions that the leader in the field of AI would become "the master of the world." Until recently, however, Russia remained virtually the only large country without its own AI development strategy. That changed in October 2019, when the country adopted a long-discussed National Strategy for the Development of Artificial Intelligence Through 2030. One of the driving forces behind the strategy was Sberbank president German Gref. The state-owned bank has also developed a road map for developing AI in Russia and coordinated the creation of Russia's AI development strategy, which is largely corporate, involving the internet giants Yandex and Mail.ru


There's Still Work to Do Addressing Ethics in Autonomous Vehicles

#artificialintelligence

There's a fairly large flaw in the way that programmers are currently addressing ethical concerns related to artificial intelligence (AI) and autonomous vehicles (AVs). Namely, existing approaches don't account for the fact that people might try to use the AVs to do something bad. For example, imagine that there is an autonomous vehicle with no passengers and it is about to crash into a car containing five people. It can avoid the collision by swerving out of the road, but it would then hit a pedestrian. Most discussions of ethics in this scenario focus on whether the autonomous vehicle's AI should be selfish (protecting the vehicle and its cargo) or utilitarian (choosing the action that harms the fewest people). But that either/or approach to ethics can raise problems of its own, according to Veljko Dubljević, an assistant professor in the Science, Technology & Society program at North Carolina State University.


Flight Simulator: machine learning-fueled simulator, grows over time – IAM Network

#artificialintelligence

Microsoft has just provided two new nuggets on information from Flight Simulator, which is about to make its descent onto gamers' systems on August 18 -- now, also on Steam. VIEW GALLERY – 10 IMAGES In a new update, Microsoft explained that Flight Simulator "heralds a new era of data-driven flight simulation". In the update, Microsoft continued: "One of the exciting implications of this is that the data that makes up the world is always improving, and players can look forward to a simulator that evolves over time".The post continued: "Thanks to our partnership with Bing, players will enjoy new, even better terrain, and an ever evolving, machine learning-fueled simulator that grows over time".Microsoft finished up the update on Flight Simulator, adding: "We have so much ahead for Microsoft Flight Simulator, but even on day one simmers will get highly detailed aircraft, a new checklist system, live air traffic, dynamic weather, new aerodynamic modeling, as well as all the many other features we shared in our launch date announcement, all within a beautifully crafted and rendered world. Whether you are new to flight simulation or an aviation pro, the sky is calling in Microsoft Flight Simulator".There will be 3 different …