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Who needs a peep hole when a wifi network will do? Researchers from MIT have developed technology that uses wireless signals to see your silhouette through a wall—and it can even tell you apart from other people, too.

The team from MIT’s Computer Science and Artificial Intelligence Lab are no strangers to using wireless signals to see what’s happening on the other side of a wall. In 2013, they showed off software that could use variations in wifi signal to detect the presence of human motion from the other side of a wall. But in the last two years they’ve been busy developing the technique, and now they’ve unveiled the obvious — if slightly alarming — natural progression: they can use the wireless reflections bouncing off a human body to see the silhouette of a person standing behind a wall.

Not only that, the team’s technique, known is RF-Capture, is accurate enough to track the hand of a human and, with some repeated measurements, the system can even be trained to recognise different people based just on their wifi silhouette. The research, which is to be presented at SIGGRAPH Asia next month, was published this morning on the research group’s website.

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At the Tokyo Motor Show 2015, Nissan unveiled a concept vehicle that embodies Nissan’s vision of the future of autonomous driving and zero emission EVs: the Nissan IDS Concept.

Presenting at the show, Nissan president and CEO Carlos Ghosn said: “Nissan’s forthcoming technologies will revolutionize the relationship between car and driver, and future mobility.”

After leading the development and expansion of EV technology, Nissan once again stands at the forefront of automotive technology. By integrating advanced vehicle control and safety technologies with cutting-edge artificial intelligence (AI), Nissan is among the leaders developing practical, real-world applications of autonomous drive technology.

In August 2013, Ghosn said that by 2020 Nissan plans to equip innovative autonomous drive technology on multiple vehicles. Progress is well on track to achieve this goal.

The aim of the exercise is to develop rider-support systems similar to those we are seeing developed in automobiles to make driving safer. “We want to apply the fundamental technology and know-how gained in the process of this challenge to the creation of advanced rider safety and rider-support systems and put them to use in our current businesses, as well as using them to pioneer new lines of business,” says Yamaha’s release.

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At the launch of its latest Autopilot features, Tesla CEO Elon Musk noted that it would roll out the new vehicle capabilities to nations outside the United States once it got regulatory approval. Today Musk tweeted that the company has gotten approval from all those countries (except Japan). Now Tesla owners around the world can enjoy the slightly unnerving feeling of letting their Model S drive itself on the highway. Musk also announced that Autopilot 1.01 would be coming soon with improved fleet learning, better lane tracking on poor roads, curved speed adoption and controller smoothness.

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You might not be able to control the 7Bot robotic arm with your mind or your eyes, but at least it’ll only cost you around $350 — cheaper than an iPhone, its creators point out — to get one. Even better, you don’t need to know how to code to program it: just physically guide the arm or use a gesture control device like a Kinect or a Leap motion sensor to make it mimic your movements. In the video below the fold and on its Kickstarter page, you can see it doing calligraphy after a team member’s grandfather physically taught it how. The team also managed make it paint cherry blossoms and do basic mathematics, and we’ll bet you can teach it other productive things, like how to terrorize your cat.

If you prefer the more hands-off approach, you can remotely control it using its 3D visualization app on a computer. And, in case you’re more tech-savvy than the average user, you can program it using the C and C++ open source APIs the 7Bot team provides. In addition to the basic model, the team also offers packages with more features, such as a version with two arms and one that comes with a 3D printer, though they’re also understandably more expensive. According to its campaign page, rewards should start shipping out as soon as January 2016, but as always, it’s best not to treat Kickstarter and other crowdfunding websites as a store.

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