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Well, happily, Ingenuity did call home after about 24 hours. According to NASA, the link was stable, and the solar array managed to charge its batteries to 41 percent. The engineers say they hope to resume Ingenuity’s flight campaign within the next several days after bringing the helicopter’s batteries to a full charge.

Unfortunately, this may be the beginning of the end for a helicopter that has vastly exceeded all expectations. The NASA engineers have had to take some fairly drastic steps to preserve Ingenuity’s battery charge. For example, they have now commanded the helicopter’s heaters to come on only when the battery’s temperature falls to −40°, far colder than the previous point of 5° Fahrenheit. It is not known how many of the off-the-shelf components on the vehicle will fare without this additional heating during the cold Martian nights.

And Mars will only get colder and darker for the next 10 weeks as winter deepens.

The freighter will help get China’s Tianhe core module ready for a new crewed mission.


China has launched a new cargo mission to its space station module in preparation for the arrival of a new crew in June.

A Long March 7 rocket carrying the robotic Tianzhou 4 spacecraft lifted off from Wenchang Satellite Launch Center in southern China’s Hainan Province today (May 9) at 1:56 p.m. EDT (1756 GMT; 1:56 a.m. local time on May 10).

Are Elon Musk and Gwynne Shotwell right? Is Mars that important? Why must we become a multiplanetary civilization?
#space #nasa #spacex #elonmusk.

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Cryostasis Revival by Robert Freitas is the first comprehensive technical exposition how to revive cryonics patients in the future. This 700+ page book with thousands of references, and technical color illustrations, is now available on Amazon in a limited textbook hardcover edition.


Cryostasis is an emergency medical procedure in which a human patient is placed in biological stasis at cryogenic temperatures. A cryopreserved patient can be maintained in this condition indefinitely without suffering additional degradation, but cannot yet be revived using currently available technology. This book presents the first comprehensive conceptual protocol for revival from human cryopreservation, using medical nanorobots. The revival methods presented in this book involve three stages: collecting information from preserved structure, computing how to fix damaged structure, and implementing the repair procedure using nanorobots manufactured in a nanofactory – a system for atomically precise manufacturing that is now visible on the technological horizon.

As ML aficionados, we’ve all come across interesting projects on GitHub only to discover that they are not in the framework we want and are familiar with. It can be tedious at times to reimplement the whole codebase in our framework, let alone deal with any errors that may arise throughout the process. It is a tedious chore that no one wants to do. Isn’t it good to have something that doesn’t care what framework you’re using? It will provide you with code in your desired framework, whether it is JAX, PyTorch, MXNet, Numpy, or TensorFlow. This is what IVY is attempting to do by unifying all ML frameworks.

The number of open-source machine learning projects has surged significantly over the past. This is evident by the fast-growing number of Github repositories using the keyword Deep learning. Because of different frameworks, code sharability has been considerably hampered. Aside from that, many frameworks become obsolete in comparison to newer frameworks. For software development where collaboration is vital, this is a significant bottleneck. As newer frameworks come into the scene framework-specific code quickly becomes obsolete, and transferring code across frameworks is akin to reinventing the wheel.

In today’s collaborative environment, it is vital to find a common level of abstraction. The development of IVY began with the language, with Python emerging as the clear choice we go further into Python frameworks, and we see that they all operate on the same fundamental principles. A tensor can be manipulated in a variety of ways, but the core tensor operations are constant across frameworks. As a result, IVY was formed as a basic abstraction layer.

Various technologies, networks and institutions benefit from or require accurate time keeping to synchronize their activities. Current ways of synchronizing time have some drawbacks that a new proposed method seeks to address. The cosmic time synchronizer works by synchronizing devices around cosmic ray events detected by those devices. This could bring accurate timing abilities to remote sensing stations, or even underwater, places that other methods cannot serve. Early tests show promise, but the real challenge may lie in the adoption of this new technique.

Humanity is intimately connected with the idea of time. Historically, we used the cosmos itself—stars, the sun, and the moon—to measure time and coordinate our activities. It’s fitting, then, that researchers are looking out to the cosmos again to further develop our ability to keep time. Professor Hiroyuki Tanaka from Muographix at the University of Tokyo devised and tested a way to synchronize multiple devices, so they agree upon the time, that makes use of from deep space. Appropriately, it’s called cosmic time synchronization (CTS).

“It’s relatively easy to keep time accurately these days. For example, have been doing this for decades now,” said Tanaka. “However, these are large and expensive devices that are very easy to disrupt. This is one reason I have been working on an improved way to keep time. The other is that, related to time measurement, position measurement could also be made better. So really, CTS is a precursor to a potential replacement for GPS, but that’s still a little further down the line.”