Toggle light / dark theme

According to new research by SISSA, ICTP and INFN, black holes could be like holograms, in which all the information to produce a three-dimensional image is encoded in a two-dimensional surface. As affirmed by quantum theories, black holes could be incredibly complex, and concentrate an enormous amount of information in two dimensions, like the largest hard disks that exist in nature. This idea aligns with Einstein’s theory of relativity, which describes black holes as three dimensional, simple, spherical and smooth, as depicted in the first-ever image of a black hole that circulated in 2019. In short, black holes appear to be three dimensional, just like holograms. The study, which unites two discordant theories, has recently been published in Physical Review X.

The mystery of black holes

For scientists, pose formidable theoretical challenges for many reasons. They are, for example, excellent representatives of the great difficulties of theoretical physics in uniting the principles of Einstein’s general theory of relativity with those of the quantum physics of . According to the relativity, black holes are simple bodies without information. According to , as claimed by Jacob Bekenstein and Stephen Hawking, they are the most complex existing systems because they are characterized by enormous entropy, which measures the complexity of a system, and consequently contain a lot of information.

Chrysler Aerospace was already contracted for the Saturn 1 and 1B First Stage so in 1971
they proposed an alternate shuttle program, the SERV and MURP
SERV: the Single-stage Earth-orbital Reusable Vehicle had a 53 metric ton payload in a 7m x 18m payload bay
12 LH2/LOX aerospike engines were arranged around the rim of the base, covered by movable metal shields
Jet Engines, which were fired just prior to touchdown in order to slow the descent.

MURP, the Manned Upper-stage Reusable Payload
The MURP was based on the HL-10 lifting body (Six Million Dollar Man test Vehicle) and a Larger Versionone larger (the D-34) could carry up to ten passengers.

From robots that flip burgers in California to ones that serve up bratwursts in Berlin, we are starting to see how machines can play sous-chef in kitchens around the world. But scientists at the University of Cambridge have been exploring how these culinary robots might not only do some of the heavy lifting but actually elevate the dining experience for the humans they serve, demonstrating some early success in a robot trained to cook omelettes.

The research project is a collaboration between the University of Cambridge researchers and domestic appliance company Beko, with the scientists setting out to take robotic cooking into new territory. Where robot chefs have been developed to prepare pizzas, pancakes and other items, the team was interested in how it might be possible to optimize the robot’s approach and produce a tastier meal based on human feedback.

“Cooking is a really interesting problem for roboticists, as humans can never be totally objective when it comes to food, so how do we as scientists assess whether the robot has done a good job?” says Dr Fumiya Iida from Cambridge’s Department of Engineering, who led the research.

#Tesla #AI


Featured image: Tesla

Tesla has managed to attract the best artificial intelligence specialists to its Autopilot team who are committed to developing software that makes full self-driving possible. The company recently published two patents that relate to improvements in this area.

Tesla Filed Patent ‘Enhanced object detection for autonomous vehicles based on field view’ https://www.tesmanian.com/blogs/tesmanian-blog/patent-enhanc…um=twitter pic.twitter.com/IU6tdaOlH7 — Tesmanian.com (@Tesmanian_com) June 5, 2020

While scanning the skies, humanity has identified thousands of exoplanets orbiting distant stars. However, very few of them are at all similar to Earth. Now, the Max Planck Institute for Solar System Research in Göttingen reports a newly discovered exoplanet could be a “mirror image” of our own.

We currently lack the technology to directly image exoplanets, so we can only infer their presence via two methods. Astronomers either look for small wobbles in a star’s rotation caused by the gravity of planets or drops in brightness from our perspective on Earth, which indicates a planet has transited the star. Kepler used the latter method to identify more than 2,600 exoplanets, and that number will probably continue to rise. Teams like the one from the Max Planck Institute are still combing through the luminance data gathered by Kepler to uncover new exoplanets. That’s how they found the very Earth-like candidate exoplanet KOI-456.04.

If it exists, KOI-456.04 orbits a sun-like star called Kepler-160 about 3,000 light-years away from Earth. Previous analysis of Kepler-160 revealed two large exoplanets — these gas giants are much easier to spot in the background noise, so many of the worlds we’ve discovered are very unlike Earth. One of those planets, Kepler-160c, showed small perturbations in its orbit that could indicate another planet, so the Max Planck Institute set out to find it.