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A new Rembrandt painting has been unveiled in Amsterdam on Tuesday, and we’re not talking about a newly discovered work. No, this one called The Next Rembrandt is truly brand new, created using data, algorithms and a 3D printer within the span of 18 months. A team of data scientists, engineers and scientists from various institutions, including Microsoft and the Rembrandt House Museum, joined forces to create this homage to the great painter. The team examined all the Dutch master’s known paintings to come up with the perfect project: a portrait of a 30 to 40-year-old Caucasian male with facial hair, wearing dark clothes with a collar and a hat on his head, facing to the right.

They then developed algorithms to extract what features make a painting a Rembrandt, such as the face’s shape and proportions. Ron Augustus, Microsoft’s SMB Markets Director, said: “You could say that we used technology and data like Rembrandt used his paints and his brushes to create something new.” To give their work a real painting’s texture, they used 3D printing techniques to print oil paint in layers. As a result, the portrait feels like it was actually painted by a human artist.

The project, which the Netherlands’ ING Bank commissioned ad agency J Walter Thompson to develop, most likely began as a promotional undertaking. As you can see, though, the final product turned out so good that the same technique could be used to make more affordable replicas (maybe even forgeries) of masterpieces.

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We’ve seen some clever ways to order food online in our day, but this one is decidedly off the wall. Taco Bell is testing TacoBot, a chat AI that helps you order (what else?) tacos in a Slack conversation. Think of it as a tasty text adventure — you can ask questions about the menu, customize your order and check your cart. It’s only in a private beta with a few companies at the moment, but you can sign up for a waiting list to have your Slack team give TacoBot a try. Just think — you could have tacos sent your way while you’re stuck in a planning session.

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Stem cells, human trials, regenerative medicine, yay!


UNSW researchers say the therapy has enormous potential for treating spinal disc injury and joint and muscle degeneration and could also speed up recovery following complex surgeries where bones and joints need to integrate with the body (credit: UNSW TV)

A stem cell therapy system capable of regenerating any human tissue damaged by injury, disease, or aging could be available within a few years, say University of New South Wales (UNSW Australia) researchers.

Their new repair system, similar to the method used by salamanders to regenerate limbs, could be used to repair everything from spinal discs to bone fractures, and could transform current treatment approaches to regenerative medicine.

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Almost all electronic devices operate by using an electron charge controlled by electrical means. In addition to a charge, an electron has a spin as a magnetic property. A groundbreaking concept for information processing based on electron spins is proposed using electron spins in semiconductors. Quantum computing enables us to exceed the speed of conventional computing and a spin transistor reduces energy consumption.

However, electron spins have yet to be used in realistic electronic devices except as part of magnetic devices for information storage. The reason is that spin polarization in a semiconductor is easily randomized, and consequently, it is difficult to transport spin polarization over a long distance.

An electron spin itself is a quantum spin angular momentum. Electrical transport and the manipulation of spin polarization are essential technologies if electron spins are to be employed in a device.

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Nice


Researchers have developed a new and highly efficient method for gene transfer. The technique, which involves culturing and transfecting cells with genetic material on an array of carbon nanotubes, appears to overcome the limitations of other gene editing technologies.

The device, which is described in a study published today in the journal Small, is the product of a collaboration between researchers at the University of Rochester Medical Center (URMC) and the Rochester Institute of Technology (RIT).

“This platform holds the potential to make the process more robust and decrease toxic effects, while increasing amount and diversity of genetic cargo we can deliver into ,” said Ian Dickerson, Ph.D., an associate professor in the Department of Neuroscience at the URMC and co-author of the paper.