Science

3D Ken Burns Effect From Single Image

Researchers at Portland State University and Adobe have demonstrated being able to generate a 3D Ken Burns effect (parallax) using a single image. The system uses neural networks to generate depth predictions and object boundaries, and context aware in-painting to generate the missing pieces of the video to simluate a moving point of focus. We can tick another Star Trek TNG sci-fi concept off the list.

Radiative Sky Cooling

Researchers at UCLA have produced a prototype energy unit that takes advantage of radiative sky cooling to generate electricity at night. As heat is radiated from objects facing the sky at night, a thermoelectric generator can be used to generate electricity from the temperature difference, in this case 25 milliwatts per square metre using equipment costing $30.

Free Wolfram Engine for Developers

Wolfram have launched their Wolfram Engine as a free package for developers. Described by Stephen Wolfram himself on his blog, the Wolfram engine implements the Wolfram Language, which in turn offers a huge range of computational intelligence and algorithmic processing, access to the Wolfram Knowledgebase as well as over 5000 abstracted functions like machine learning, visualisation and image computation.

The NASA Twins

Scientists have published the results of the study of the NASA twin astronauts Scott and Mark Kelly in Science Magazine. The experiment studies the physiological, molecular and cognitive changes that can happen to a human during a prolonged space mission. Scott Kelly was in the International Space Station for one year while his twin Mark stayed on earth, which allowed scientists to compare the effects of the space mission between the two identical twins.

The First Picture of a Black Hole

Scientists at the Event Horizon Telescope project released the first ever picture of a black hole this week! Using a data from an array of telescopes around the globe, the team combined the massive amounts of data to create the image of M87. Dr. Katie Bouman created the machine learning interferometry algorithm used to combine the data and produce the image of the event horizon.

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