Renault unveils unorthodox ‘car of the future’: a dockable, peanut-shaped driverless pod

Renault has unveiled its take on the car of the future: a peanut-shaped, mulit-directional driverless vehicle that is capable of docking into a train of vehicles.

Designed by Yuchen Cai, a student of Central St Martins’ MA in Industrial Design, the vehicle is the winning design in competition run between Renault and the prestigious design school, and was honed during a two-week stay at Renault’s Paris studio by Cai this summer.

Dubbed The Float, the vehicle was unveiled today at DesignJunction, a four-day design event that kicked off today in London.

“Everyone has accepted that cars will be part of the sharing economy in the future – that’s what’s going to happen,” said Will Sorrel, event director of DesignJunction, this morning.

“This takes it one step further and these pods are this peanut shape so they can join together, so the autonomous vehicles can link up and join together if they’re going in the same direction, conserving energy.”

The Float by Yuchen Cai, winner of the Renault and Central Saint Martins, UAL competition

The Float is rather unusually designed to run using magnetic levitation – known more commonly as maglev – and would be capable of moving in any direction, eliminating the need for tedious three-point turns.

Made entirely of glass, the vehicle is designed to have sliding doors. Two bucket-style seats enable up to two passengers to travel per pod, and swivel mechanism ensures easy departure from the pods.

When the vehicle is docked to another, however, the passengers aren’t just stuck grimacing at each other through glass. Instead passengers can rotate their seats using built-in controls and power up a sound system that allows them to talk to the pod next door.

Those who are feeling less sociable can change the opacity of the glass, ensuring privacy when their neighbours are not so appealing to communicate with.

The Float is also designed to be paired with a smartphone app, through which would-be passengers could hail a vehicle as required.

“Central Saint Martins’ Industrial Design students really took this on board when creating their vision of the future,” said Anthony Lo, Renault’s  vice-president of exterior design and one of the competition judges. “Yuchen’s winning design was particularly interesting thanks to its use of Maglev technology and its tessellated design. It was a pleasure to have her at the Renault design studios and see her vision come to life.”

“From a technological viewpoint, the prospect of vehicle autonomy is fascinating, but it’s also critical to hold in mind that such opportunities also present significant challenges to how people interact and their experience of future cities,” added Nick Rhodes, Central Saint Martins programme director of product ceramic & industrial design.

“Recognition of the success of the projects here lies in their ability to describe broader conceptions of what driverless vehicles might become and how we may come to live with them.”

Crypto-currency mining is hindering the search for alien life

Researchers searching for extraterrestrial life are struggling to get the computer hardware they need, due to crypto-currency mining. "We'd like to use the latest GPUs...and we can't get 'em," said Dan Werthimer. Demand for GPUs has soared recently thanks to crypto-currency mining.

Source: BBC

Genetic study of soil reveals new family of antibiotics

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Source: Phys.org

UK police are identifying suspects using fingerprint scanners

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Source: Wired

Robots 1,000 times smaller than a human hair could treat cancer

Scientists from Arizona State University and The Chinese Academy of Sciences just figured out how to build tiny robots that travel through the body's blood stream, hunting for tumors, without doing any harm to healthy cells along the way. In tests on mice, average survival times doubled.

NASA is bringing back Cold War-era rockets to get to Mars

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Source: Bloomberg

Facial recognition systems have gender and racial biases

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Source: The Inquirer

Skydio unveils its obstacle-dodging, thrill-seeking, AI-powered drone

An autonomous drone startup founded by former MIT researchers has today launched its R1, a fully autonomous flying camera that follows its subjects through dense and challenging environments.

In a promotional video, launched to introduce the autonomous camera, R1 can be seen following an athlete as she parkours her way through dense woodland.

The drone’s makers Skydio have explained that the camera combines artificial intelligence, computer vision, and advanced robotics and works by anticipating how people move, so R1 can make intelligent decisions about how to get the smoothest, most cinematic footage in real-time.

“The promise of the self-flying camera has captured people’s imaginations, but today’s drones still need to be flown manually for them to be useful,” said Adam Bry, CEO and co-founder of Skydio.

“We’ve spent the last four years solving the hard problems in robotics and AI necessary to make fully autonomous flight possible. We’re incredibly excited about the creative possibilities with R1, and we also believe that this technology will enable many of the most valuable drone applications for consumers and businesses over the coming years.”

Launching today is the Frontier Edition of R1, which is aimed at athletes, adventurers, and creators.

This version of R1 is powered by the Skydio Autonomy Engine, enabling it to see and understand the world around it so that it can fly safely at speeds of upto 25mph while avoiding obstacles.

The autonomous drone is fitted with 13 cameras, which gives it the ability to map and understand the world in real-time, allowing it to be fully autonomous and independently capture footage that in Skydio’s words “once required a Hollywood film crew” and will “enable a new type of visual storytelling”.

The R1 “Frontier Edition” is available for order now on Skydio’s website for $2,499.