Lifeboat Foundation

While grand spaceflight plans of some nations have ended up many years behind schedule, China completed the assembly in orbit of its Tiangong space station in late October, only 22 months later than planned. And on Nov. 29, the Shenzhou 15 mission blasted off from China’s Jiuquan Satellite Launch Center deep in the Gobi Desert and took three astronauts to the space station to begin permanent occupancy of the outpost.

These human spaceflight achievements, combined with recent space probes to the moon and Mars, add to the evidence that China is running a steady space marathon rather than competing in a head-to-head space race with the United States. That China’s space program is making good time toward its long-term goals was reinforced during a rare visit for foreign media to the country’s heavily guarded desert rocket base for the Nov. 29 launch — including lengthy interviews with senior Chinese space officials by in for The New York Times.

We still don’t have a clear picture of the Sun’s physics — but the Solar Ring could change that.

To solve this a team of astronomers proposes the Solar Ring. The Solar Ring is a fleet of three spacecraft that will all orbit around the Sun. They will be separated from each other by 120 degrees and be fitted with identical instruments. This way their overlapping fields of view will make it impossible for us to miss anything happening on the surface.

Among the many kinds of observations that the astronomers behind the Solar Ring hope to perform, one involves a technique called reverberation mapping. By carefully mapping the velocity of gas on the surface of the Sun, they can measure vibrations and pulsations. These kinds of “sunquakes” give astronomers rich information about what is happening within deeper layers, much like how earthquakes tell us about the core and mantle of the Earth.

Continue reading “A trio of satellites could take a groundbreaking 360-degree photo of the sun” »

NGA is looking to both upgrade its software-based terrestrial data models and transition them to a cloud environment.

Examinations using microscopes confirmed that these neurons were active in the mice with chronic pain. When the researchers used chemicals to stop the neuronal activity in this cortex, the mice’s appetites improved.

Similarly, when the researchers used chemicals to activate these neurons in mice that weren’t in pain, the animals ate less, even if they had been deprived of food before the experiment.

This is the first time that researchers have traced the brain mechanisms behind pain-related appetite loss, the researchers wrote.

The event is likened to the Chicxulub collision on Earth.

A study has found that the megatsunami that swept Mars around 3.4 billion years ago was caused by an asteroid strike on one of its oceans. The event is compared to the likes of the Chicxulub collision—which is believed to have wiped out dinosaurs from the face of the earth about 66 million years ago.

Researchers, led by Alexis Rodriguez of the Planetary Science Institute in Arizona, have also suggested that NASA’s Viking 1 Lander, which was deployed on a mission to find evidence of life on Mars in 1976, could have landed near the crater of this megatsunami.

Continue reading “Megatsunami on Mars linked to an asteroid strike 3.4 billion years ago” »

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Continue reading “The REAL Possibility of Mapping Alien Planets!” »

If we can analyze the organization of neural circuits, it will play a crucial role in better understanding the process of thinking. It is where the maps come into play. Maps of the nervous system contain information about the identity of individual cells, like their type, subcellular component, and connectivity of the neurons.

But how do we obtain these maps?

Volumetric nanometer-resolution imaging of brain tissue is a technique that provides the raw data needed to build these maps. But inferring all the relevant information is a laborious and challenging task because of the multiple scales of brain structures (e.g., nm for a synapse vs. mm for an axon). It requires hours of manual ground truth labeling by expert annotators.

Plenty of potential solutions have been put forward to deal with the problem, but they all face a similar problem at the first step: how to track the debris they’re attempting to eliminate. Enter a new idea from researchers in Iran — using a novel type of radar to detect and track space debris before it becomes a danger.

The novel type of radar is called inverse synthetic aperture radar, or ISAR. As one might expect from the name, it’s the opposite of synthetic aperture radar (SAR). SAR has become much more prominent lately, especially by satellites attempting to collect data about the Earth, especially terrain data that might be useful for geospatial mapping.

Continue reading “A cutting-edge radar system could be a front-line tool to fight dangerous space junk” »

Image and video editing are two of the most popular applications for computer users. With the advent of Machine Learning (ML) and Deep Learning (DL), image and video editing have been progressively studied through several neural network architectures. Until very recently, most DL models for image and video editing were supervised and, more specifically, required the training data to contain pairs of input and output data to be used for learning the details of the desired transformation. Lately, end-to-end learning frameworks have been proposed, which require as input only a single image to learn the mapping to the desired edited output.

Video matting is a specific task belonging to video editing. The term “matting ” dates back to the 19th century when glass plates of matte paint were set in front of a camera during filming to create the illusion of an environment that was not present at the filming location. Nowadays, the composition of multiple digital images follows similar proceedings. A composite formula is exploited to shade the intensity of the foreground and background of each image, expressed as a linear combination of the two components.

Although really powerful, this process has some limitations. It requires an unambiguous factorization of the image into foreground and background layers, which are then assumed to be independently treatable. In some situations like video matting, hence a sequence of temporal-and spatial-dependent frames, the layers decomposition becomes a complex task.