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The world has not entered the age of the killer robot, at least not yet. Today’s autonomous weapons are mostly static systems to shoot down incoming threats in self-defence, or missiles fired into narrowly defined areas. Almost all still have humans “in the loop” (eg, remotely pulling the trigger for a drone strike) or “on the loop” (ie, able to oversee and countermand an action). But tomorrow’s weapons will be able to travel farther from their human operators, move from one place to another and attack a wider range of targets with humans “out of the loop” (see article). Will they make war even more horrible? Will they threaten civilisation itself? It is time for states to think harder about how to control them.


A good approach is a Franco-German proposal that countries should share more information on how they assess new weapons; allow others to observe demonstrations of new systems; and agree on a code of conduct for their development and use. This will not end the horrors of war, or even halt autonomous weapons. But it is a realistic and sensible way forward. As weapons get cleverer, humans must keep up.

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Photo: Roy Allela

Twenty-five-year-old Kenyan engineer and innovator, Roy Allela, has created a set of gloves that will ultimately allow better communication between those who are deaf and those who are hearing yet may not necessarily know sign language. The Sign-IO gloves in essence translate signed hand movements into audible speech.

Allela’s gloves feature sensors located on each finger that detect the positioning of each finger, including how much each finger will bend into a given position. The glove connects via Bluetooth to an Android phone which then will leverage use the text-to-speech function to provide translated speech to the hand gestures of a person signing.

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New technology being developed by the MIT’s Lincoln Laboratory uses laser light to excite moisture in the air surrounding a target’s ear, causing it to quietly whisper a personal message from several metres away.

“Our system can be used from some distance away to beam information directly to someone’s ear,” says MIT team leader and physicist Charles M. Wynn.

You probably don’t need us to count off potential applications for such a device, which range from military applications to targeted advertising.

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Decoder, developed in collaboration with a games developer, gets users to assume the role of an intelligence officer tasked with breaking up global criminal gangs (users are able to select a character and their backstory).

To meet the objective, users have to identify different combinations of number strings in missions littered with distraction.

Winning each mission means users unlock letters of the next criminal location (the higher the score, the more letters revealed).

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A movie montage for modern artificial intelligence might show a computer playing millions of games of chess or Go against itself to learn how to win. Now, researchers are exploring how the reinforcement learning technique that helped DeepMind’s AlphaZero conquer chess and Go could tackle an even more complex task—training a robotic knee to help amputees walk smoothly.


Computer algorithms help prosthetics wearers walk within minutes rather than requiring hours of training.

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