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The world is getting flooded with tiny (creepy) robots that can crawl all over the place, including your clothes. The latest one, created by scientists at Harvard University, uses artificial scaly skins to move forward — kind of like a snake.

The soft robot is just a silicone rubber tube. But what’s special about it is its skin — a thin, stretchable plastic sheet that’s been cut with a laser. The cuts, in the shape of triangles or circles, resemble the scales on the skin of snakes. When air is pumped into the tube, the robot expands and contracts, allowing the scales to pop up, anchor against the surface, and pull the robot forward. In a study published today in Science Robotics, scientists showed that the artificial snakeskins work against rough surfaces like asphalt and concrete. In the future, these robots could be scaled down and used to deliver drugs inside arteries, or in disaster situations where bots need to crawl inside narrow spaces.

https://youtube.com/watch?v=6WRNqdOMXmc

This month, the power of artificial intelligence will be coming to more augmented reality developers as a leader in the game and 3D software development space and a major force behind the current school of cloud-based AI have officially announced a new partnership.

In a post on Unity’s website on Tuesday, the company revealed a partnership with computing giant IBM to launch the IBM Watson Unity SDK. This programming interface will open up new cloud-based AI services for developers to use in their applications. And, with AR and AI having become increasingly intertwined technologies, this is only good news for AR developers.

Continue reading “Dev Report: IBM & Unity Partner to Offer AI Tool That Could Make Augmented Reality Apps Smarter” »

Dueling neural networks. Artificial embryos. AI in the cloud. Welcome to our annual list of the 10 technology advances we think will shape the way we work and live now and for years to come.

From healthcare to warfare, machine-based thinking is revolutionising the way we live, exposing us to the benefits and the risks. Twenty-six world experts in emerging technologies say cybercrime will grow and drones will be misused in the next decade.

The Netflix series takes place hundreds of years in the future, but references versions of technology that have been in development for years, like brain mapping, human and AI neural links, and mind uploading to computers. Millions of dollars has been bumped into technological ideas that promise, one day, our brains will be turned digital. That said, there are those who believe the human mind is too complex, and our consciousness too nuanced, to be recreated in a digital product. And none of that even goes into what would happen if someone’s digitized mind was placed into real human flesh.

Will we ever be able to upload our minds into other bodies? Furthermore, should we? And honestly, if we ever achieved such a feat, could we even call ourselves human anymore? On this week’s Giz Asks, we reached out to experts in neuroscience, philosophy and futurism.

Hyundai recently showcased that their latest autonomous SUV, Nexo, can deliver Level 4 autonomy. Its electric motor runs on hydrogen fuel.

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” »

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” »