Elon Musk buys Twitter. Now what?
Posted in Elon Musk
The giant bee was first discovered in 1,859, but since has only officially sighted once. Now, researchers have found a specimen alive and well.
Circa 2020
Researchers have created a new 3D printing technique that could replace traditional 3D printers that take far to long to create desired objects.
The problem with traditional 3D printers is that they work in horizontal layers. This process is the bane of 3D printing, as it means that, depending on the size of the object, it will take time to construct. What if the printer could build the entire model all at once, instead of layer-by-layer? Researchers from Switzerland’s Ecole polytechnique federale de Lausanne (EPFL) have done just that with their new invention.
A virtual robot arm has learned to solve a wide range of different puzzles —stacking blocks, setting the table, arranging chess pieces—without having to be retrained for each task. It did this by playing against a second robot arm that was trained to give it harder and harder challenges.
Self play: Developed by researchers at OpenAI, the identical robot arms—Alice and Bob—learn by playing a game against each other in a simulation, without human input. The robots use reinforcement learning, a technique in which AIs are trained by trial and error what actions to take in different situations to achieve certain goals. The game involves moving objects around on a virtual tabletop. By arranging objects in specific ways, Alice tries to set puzzles that are hard for Bob to solve. Bob tries to solve Alice’s puzzles. As they learn, Alice sets more complex puzzles and Bob gets better at solving them.
Godlike Aliens
Posted in alien life, futurism
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Science Fiction often shows us alien civilizations so advanced they are godlike, but how realistic are they, and what would such entities be like?
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Quantum machine learning is a field of study that investigates the interaction of concepts from quantum computing with machine learning.
For example, we would wish to see if quantum computers can reduce the amount of time it takes to train or assess a machine learning model. On the other hand, we may use machine learning approaches to discover quantum error-correcting algorithms, estimate the features of quantum systems, and create novel quantum algorithms.
But the bizarre invention could soon become a reality, as scientists have taken a major step forward in the development of electronic skin with integrated artificial hairs.
Hairs allow for ‘natural touch’ and let us detect different sensations such as rough and smooth, as well as the direction the touch is coming from.
Researchers from Chemnitz University of Technology say the ‘e-skin’ could have a range of uses in the future, including skin replacement for humans and artificial skin for humanoid robots.