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Models Trained to Keep the Trains Running

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Steady advances in machine vision techniques such as convolutional neural networks powered by graphics processors and emerging technologies like neuromorphic silicon retina "event cameras" are creating a range of new predictive monitoring and maintenance use cases. We've reported on several, including using machine vision systems to help utilities monitor transmission lines and towers linked to wildfires in California. Now, AI software vendor Ignitarium and partner AVerMedia, an image capture and video transmission specialist, have expanded deployment an aircraft-based platform for detecting railway track obstructions. The AI-based visual "defect detection" platform incorporates Ignitarium's AI software implemented on Nvidia's edge AI platform used to automatically control onboard cameras. The system is designed to keep cameras focused on the track center during airborne inspections.


Council Post: 14 'Smart City' Tech Features That Will Soon Change Urban Centers

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As the Internet of Things continues to permeate more areas of modern life, we've begun to see the rise of the "smart city." These urban areas leverage IoT technology like sensors and beacons to collect data and better manage a city's resources, services and operations. This ultimately makes a city safer and can improve the quality of life for residents. Because this smart city technology is virtually invisible to those who aren't operating it, many outside of the tech industry may not realize the full impact IoT can have on urban life. Below, 14 experts from Forbes Technology Council explain some of the current and upcoming tech innovations that are changing the way cities function.


Heathrow Airport brings in robots to fight coronavirus

BBC News

Previously used to tackle hospital acquired infections, the machines move through the airport terminals disinfecting high risk touch points like bathrooms and lifts.


The Global State Of Facial Recognition (infographic)

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Facial recognition technology is employed for various purposes, whether for biometric identification on the airports, or on the public CCTV cameras. Many smartphones now have this technology for unlocking their system. On states level, many countries use facial recognition technology for mass surveillance also. However, despite it being used in 98 countries of the world, there still are some that do not approve of it, and some countries have even banned it. In the US, 59% of the citizens believe that facial recognition technology should be implemented, especially for law enforcement.


Vanderbilt researcher optimizing public transit with Artificial Intelligence

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The project has two main goals: to analyze available bus occupancy data to allow passengers and drivers to maintain a healthy social distance and to understand the changes in overall demand for public transit in each city. Working with bus occupancy data the researchers intend to create a real-time map of available seats within social distancing protocols available for public use. Dubey likens the map to that of how seats are selected on ticket sales websites for concerts or sporting events. The researchers posit that they will further be able to use their algorithm that digests occupancy data to estimate usage and seating patterns. These estimates will be used to make recommendations to WeGo Public Transit and CARTA on the number of buses that need to be added to specific routes to ensure passenger safety.


Global Big Data Conference

#artificialintelligence

Artificial Intelligence (AI) is like a superhighway, it's moving fast, evolving, and growing quickly. Like most things in life, data scientists are not born with AI and Machine Learning (ML) knowledge. At H2O.ai, we are on a mission to democratize AI. To help every company become an AI company. Companies are also on an AI transformation journey.


Researchers Use AI to Spot Drone Pilots

#artificialintelligence

Law enforcement and military personnel might finally have a way to track malicious drones and prevent millions of dollars in damage thanks to new artificial intelligence research. Academics at Israel's Ben-Gurion University of the Negev have developed a way to locate the operator of a drone by looking at how the airborne vehicle moves. Locating the pilots of malicious drones is a pressing issue. In December 2018, Gatwick Airport had to close its runways to avoid drones flying dangerously close. Officers believed that it was a deliberate attack on the airport.


Researchers Use AI to Spot Drone Pilots

#artificialintelligence

Law enforcement and military personnel might finally have a way to track malicious drones and prevent millions of dollars in damage thanks to new artificial intelligence research. Academics at Israel's Ben-Gurion University of the Negev have developed a way to locate the operator of a drone by looking at how the airborne vehicle moves. Locating the pilots of malicious drones is a pressing issue. In December 2018, Gatwick Airport had to close its runways to avoid drones flying dangerously close. Officers believed that it was a deliberate attack on the airport.


University of Melbourne and Cubic test AI camera to improve road safety

ZDNet

The University of Melbourne and Cubic Transportation Systems have partnered to test how an artificial intelligence camera can be used to improve road user safety and traffic management. As part of the project, seven cameras will be installed at various intersections along Melbourne's Rathdowne Street, which is part of the Australian Integrated Multimodal Ecosystem (AIMES). AIMES, which is led by the University of Melbourne, was established in 2016 to live-test various transport technology on the streets of Melbourne in a bid to deliver safer and sustainable urban transport outcomes. The Gridsmart cameras, develop by Cubic, uses real-time computer vision to track and identify between different road users -- including cars, motorbikes, cyclists, and pedestrians -- while they pass into and through intersections. According to AIMES director at the University of Melbourne Majid Sarvi, being able to detect the different road users, especially "vulnerable" road users such as cyclists, motorcyclists, and pedestrians, will help determine how much green time individuals would need to cross an intersection safely.


US killing of Iran's Qassem Soleimani 'unlawful': UN expert

Al Jazeera

The US drone strike that killed Iran's top general Qassem Soleimani was "unlawful", the United Nations expert on extrajudicial killings concluded in a report on Tuesday. US President Donald Trump ordered the killing in a January 3 drone strike near Baghdad international airport. Soleimani was "the world's top terrorist" and "should have been terminated long ago", Trump said at the time. Iraqi commander Abu Mahdi al-Muhandis was also killed in the attack. Callamard concluded that it was an "arbitrary killing" that violated the UN charter.