Lifeboat Foundation

In an example of life imitating art, scientists have come up with a technology straight out of an episode of Black Mirror: Bee-like pollinating drones.

A team at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan engineered the devices using a combination of horsehair, $USD 100 drones and a sticky ion gel.

It’s pretty simple really – first, the drones fly into flowers much like a bee would. Inside the flower, pollen gets stuck to the drone due to the combination of the ion gel and horsehair. That same pollen is then shaken off into the next flower, and so on. It’s just your run of the mill birds and the robots bees.

Continue reading “Japan has just invented Robo-bees that can legitimately pollinate the earth” »

For many years doctors have been able to get a look inside a person’s body using X-ray scans, or placing a tiny camera inside the body. But those tools provide a limited view and can only reveal so much. A recently developed camera, however, may give doctors the ability to see everything happening in the human body, no matter where it is.

The camera was developed by researchers from the University of Edinburgh, and it’s meant to work while paired with an endoscope — a long, slender piece of equipment that usually has a camera, sensors, and lights at its tip.

Light emitted by the endoscope typically scatters when it comes into contact with structures within the body, such as body tissue, but the new camera is able to pick up on it thanks to the photon detectors inside of it. The camera is able to detect light sources behind as much as 20 centimeters (7.9 inches) of bodily tissue.

Continue reading “Researchers Have Created a New Camera Capable of Seeing Through the Human Body” »

By using insights from one job to help it do another, a successful new artificial intelligence hints at a more versatile future for machine learning.

Backstory: Most algorithms can be trained in only one domain, and can’t use what’s been learned for one task to perform another, new one. A big hope for AI is to have systems take insights from one setting and apply them elsewhere—what’s called transfer learning.

What’s new: DeepMind built a new AI system called IMPALA that simultaneously performs multiple tasks—in this case, playing 57 Atari games—and attempts to share learning between them. It showed signs of transferring what was learned from one game to another.

Continue reading “DeepMind’s latest AI transfers its learning to new tasks” »

Weird connections through space-time might make reality real, giving us a promising new route to a theory of everything.

Spooky action at a distance – the dislocated effect of the quantum world – is real without a doubt. So the problem must lie in our perception of space and time.

Entrepreneur Juan Enriquez has outlined a future where we will be able to survive in extreme environments and even hack our memory thanks to DNA manipulation.

AI will make better decisions by embracing uncertainty.

Divergent has created a green 3D print automotive manufacturing platform that radically reduces materials, energy, and cost.

A flexible e-skin containing a few hundred micro LEDs can display your vital signs or messages from your doctor.