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Washington (AFP) — Police in the US state of Delaware are poised to deploy “smart” cameras in cruisers to help authorities detect a vehicle carrying a fugitive, missing child or straying senior.

The video feeds will be analyzed using artificial intelligence to identify vehicles by license plate or other features and “give an extra set of eyes” to officers on patrol, says David Hinojosa of Coban Technologies, the company providing the equipment.

“We are helping officers keep their focus on their jobs,” said Hinojosa, who touts the new technology as a “dashcam on steroids.”

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L amborghini has created the world’s first self-healing sports car. The Terzo Millennio, which translates as third millennium in Italian, has the ability to detect and repair cracks in its body work.

Using sensors the car can conduct its own health check to detect any damages and self-repair itself by filling the crack with nanotubes to prevent it spreading.

The super car was created in collaboration with researchers from the Massachusetts Institute of Technology (MIT) in Boston.

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Las Vegas’ newest tourist attraction has nothing to do with casinos, neon lights or Cirque du Soleil. It’s a driverless shuttle that will make a half-mile loop all day long on city streets in the downtown Fremont East district, starting Wednesday.

AAA of Northern California, Nevada & Utah is sponsoring the yearlong pilot program along with two French companies: Keolis, a global transportation company that already runs Las Vegas’ public bus system, and Navya, which manufactures the driverless shuttle. The goal is twofold: to expose the public to the futuristic technology and gain insights on how people view it.

“Las Vegas prides itself on being first, getting out there and trying out new things,” said city spokesman Jace Radke.

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Flying Ubers are coming to LA: Ride-sharing company links with NASA to bring 200mph electric aircraft to the city in 2020 and a flight will cost you the same as a car journey…


Uber’s Chief Product Officer, Jeff Holden, announced the plans at the global Web Summit in Lisbon today.

Mr Holden said: ‘Technology will allow LA residents to literally fly over the city’s historically bad traffic, giving them time back to use in far more productive ways.

‘At scale, we expect UberAIR will perform tens of thousands of flights each day across the city — at those levels, all the time savings will have a noticeable positive impact on the region’s economy.’

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By 2050, two thirds of the world’s population will live in cities. Urbanisation is happening faster than at any time in human history.

Globally, 900 million people are living in slums. Cities can’t add housing fast enough. Today, an estimated one billion vehicles are already bringing urban areas to a standstill. Cities consume three-quarters of the world’s energy each year and are responsible for around 50% of greenhouse gas emissions.

These are challenges our cities have been facing for decades.

But now some city leaders, businesses, and even citizens, are taking new approaches to tackling these old problems. They’re transforming their cities with technology.

In Seoul, the use of data is seen as the key to tackling some of the big challenges of city life — like moving its people around. City workers here use sophisticated technology to understand and transform how the city — and its metro — can be run. The subway system transports 7 million people every day. It’s widely regarded as one of the best in the world. And the entire network from wheels to workers is driven by data.

Thank a new approach to spoofing image recognition AIs, developed by a team from Kyushu University in Japan, for that joke.

Trying to catch out AIs is a popular pastime for many researchers, and we’ve reported machine-learning spoofs in the past. The general approach is to add features to images that will incorrectly trigger a neural network and have it identify what it sees as something else entirely.

The new research, published on the arXiv, describes an algorithm that can efficiently identify the best pixels to alter in order to confuse an AI into mislabeling a picture. By changing just one pixel in a 1,024-pixel image, the software can trick an AI about 74 percent of the time. That figure rises to around 87 percent if five pixels are tweaked.

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