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Trees and other plants, from towering redwoods to diminutive daisies, are nature’s hydraulic pumps. They are constantly pulling water up from their roots to the topmost leaves, and pumping sugars produced by their leaves back down to the roots. This constant stream of nutrients is shuttled through a system of tissues called xylem and phloem, which are packed together in woody, parallel conduits.

Now engineers at MIT and their collaborators have designed a microfluidic device they call a “tree-on-a-chip,” which mimics the pumping mechanism of trees and plants. Like its natural counterparts, the chip operates passively, requiring no moving parts or external pumps. It is able to pump and sugars through the chip at a steady flow rate for several days. The results are published this week in Nature Plants.

Anette “Peko” Hosoi, professor and associate department head for operations in MIT’s Department of Mechanical Engineering, says the chip’s passive pumping may be leveraged as a simple hydraulic actuator for small robots. Engineers have found it difficult and expensive to make tiny, movable parts and pumps to power complex movements in . The team’s new pumping mechanism may enable robots whose motions are propelled by inexpensive, -powered pumps.

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“This march of machines is still pulse quickening” (The Guardian)

“AMC’s AI series continues to expand and redefine the genre in dramatically creative and human ways” (The Hollywood Reporter)

“Humans is the most compelling, emotionally resonant robot-centric show on television.” (Vulture)

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Since the beginning of the Space Age, scientists have relied on multi-stage rockets in order to put spacecraft and payloads into orbit. The same technology has allowed for missions farther into space, sending robotic spacecraft to every planet in the Solar System, and astronauts to the Moon. But looking to the future, it is clear that new ideas will be needed in order to cut costs and expand launch services.

Hence why the ARCA Space Corporation has developed a concept for a single-stage-to-orbit (SSTO) rocket. It’s known as the Haas 2CA, the latest in a series of rockets being developed by the New Mexico-based aerospace company. If all goes as planned, this rocket will be the first SSTO rocket in history, meaning it will be able to place payloads and crew into Earth’s orbit relying on only one stage with one engine.

The rocket was unveiled on Tuesday, March 28th, at their company headquarters in Las Cruces. The rocket is currently seeking FAA approval, and ARCA is working diligently to get it ready for its test launch in 2018 – which will take place at NASA’s Wallops Flight Facility located on Virginia’s eastern shore. If successful, the company hopes to use this rocket to deploy small satellites to orbit in the coming decade.

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The team tested their device on a prosthetic hand. When the skin patches on the skin were enabled, the prosthetic could touch and grab soft objects like a normal hand. But when the skin was not turned on, the hand crushed the objects.

The skin requires just 20 nanowatts of power per square centimeter, according to the paper. Right now, the energy captured by the photovoltaic cells has to be used immediately, but the team has another prototype in development that includes flexible supercapacitors to store excess energy.

They are also working on scaling up the material to cover larger areas of a prosthetic or robot, using a method the team pioneered in 2015 for inexpensively producing large sheets of graphene. Dahiya expects the skin will eventually be produced for just $1 for 5 to 10 centimeters of the material.

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For a mind to be capable of tackling anything, it has to have a memory.

Humans are exceptionally good at transferring old skills to new problems. Machines, despite all their recent wins against humans, aren’t. This is partly due to how they’re trained: artificial neural networks like Google’s DeepMind learn to master a singular task and call it quits. To learn a new task, it has to reset, wiping out previous memories and starting again from scratch.

This phenomenon, quite aptly dubbed “catastrophic forgetting,” condemns our AIs to be one-trick ponies.

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