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The field of robotics is going through a renaissance thanks to advances in machine learning and sensor technology. Each generation of robot is engineered with greater mechanical complexity and smarter operating software than the last. But what if, instead of painstakingly designing and engineering a robot, you could just tear open a packet of primordial soup, toss it in the microwave on high for two minutes, and then grow your own ‘lifelike’ robot?

If you’re a Cornell research team, you’d grow a bunch and make them race.


The idea is to give craftspeople the tools they need to incorporate digital services to the items they’re already making. Poupyrev made it clear that he doesn’t want fundamentally change tried and tested items, like a jacket, into a computer first, and an article of clothing second. He wants to imbue everyday items with digital functionality.

In its final form, Poupyrev envisions clothing, furniture, and accessories that are all connected to the cloud, each providing their own, specialized functionality. Users will interact with screens using their sleeves and pause their music by tapping their glasses. Step trackers will live in our shoes, translators will live in our ears, and medicinal nano-robots could be injected into our blood streams. The very notion of a computer will radically change as little computers get placed into everything.

“This could allow makers to image and create a new world where things are connected and we don’t need keyboards, screens, or mice to interact with computers,” he said. “I’ve been working on this for 20 years and as it’s taken shape I’m realizing that we’re not building an interface. We’re building a a new kind of computer, an invisible computer.”

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However, we are not there yet and we have to take it step-by-step, says Dr Anna Anund from the Swedish National Road and Transport Research Institute (VTI). She and her team are developing sensor-based systems as part of the ADAS&ME project to move towards level three, in which the driver can rest and would only be expected to drive when the car requests it.


When you’re sleepy, stressed or have had a few drinks, you’re not in the best position to drive – or even make that decision. But automated cars could soon make that call for you.

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Artificial intelligence (AI), a branch of computer science that is transforming scientific inquiry and industry, could now speed the development of safe, clean and virtually limitless fusion energy for generating electricity. A major step in this direction is under way at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) and Princeton University, where a team of scientists working with a Harvard graduate student is for the first time applying deep learning—a powerful new version of the machine learning form of AI—to forecast sudden disruptions that can halt fusion reactions and damage the doughnut-shaped tokamaks that house the reactions.

Promising new chapter in fusion research

“This research opens a promising new chapter in the effort to bring unlimited energy to Earth,” Steve Cowley, director of PPPL, said of the findings, which are reported in the current issue of Nature magazine. “Artificial intelligence is exploding across the sciences and now it’s beginning to contribute to the worldwide quest for fusion power.”


Topol is a dreamer. “One can imagine that AI will rescue medicine from all that ails it, including diagnostic inaccuracy,” he writes. (There are roughly 12 million misdiagnoses of serious illness in the United States every year, and medical error kills a quarter-million Americans annually.) But even Topol admits that this hope is far from being actualized. Indeed.


Cardiologist Eric Topol explores the benefits of artificial intelligence in medicine.

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