Lifeboat Foundation

Update: China´s Moon Mission Returned Now Samples from the #Moon to #Earth. Why this is important, specially for the origin of life:

On June 1, China’s Chang’e-6 lander touched down in the South Pole-Atkin Basin — the largest, deepest, and oldest impact crater on the Moon. The probe almost immediately set to work drilling into the ground to collect about 2 kilograms of lunar material, which is already headed back to Earth, with a landing in Mongolia planned for June 25. It isn’t just planetary geologists who are excited at what the returning rocks and soil might reveal. If we’re lucky, the first samples from the lunar farside could also include some of the oldest fossils ever found.

The SPA basin, as it’s sometimes called, is the result of a gigantic impact that occurred between 4.2 and 4.3 billion years ago, at a time when the Moon and Earth were very close neighbors. The crater is roughly 2,500 kilometers (1,600 miles) in diameter and between 6.2 km and 8.2 km (3.9 to 5.1 mi) deep, encompassing several smaller craters like the Apollo basin, where Chang’e-6 landed, and Shackleton crater, parts of which lie in perpetual shadow.

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In a world first, a team of scientists has successfully developed the first flexible perovskite/silicon tandem solar cell with a record efficiency of 22.8 percent.

While other scientists have developed flexible solar cells before, the new efficiency record sets a new precedent and represents a big step forward for the technology.

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Brain-inspired neuromorphic computing and portable intelligent electronic products have received increasing attention. In the present work, nanocellulose-gated indium tin oxide neuromorphic transistors are fabricated. The device exhibits good electrical performance. Short-term synaptic plasticities were mimicked, including excitatory postsynaptic current, paired-pulse facilitation, and dynamic high-pass synaptic filtering. Interestingly, an effective linear synaptic weight updating strategy was adopted, resulting in an excellent recognition accuracy of ∼92.93% for the Modified National Institute of Standard and Technology database adopting a two-layer multilayer perceptron neural network. Moreover, with unique interfacial protonic coupling, anxiety disorder behavior was conceptually emulated, exhibiting “neurosensitization”, “primary and secondary fear”, and “fear-adrenaline secretion-exacerbated fear”. Finally, the neuromorphic transistors could be dissolved in water, demonstrating potential in “green” electronics. These findings indicate that the proposed oxide neuromorphic transistors would have potential as implantable chips for nerve health diagnosis, neural prostheses, and brain-machine interfaces.

Keywords: anxiety disorders; neuromorphic computing; oxide neuromorphic transistors; proton coupling; synaptic plasticity.

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Computers have come so far in terms of their power and potential, rivaling and even eclipsing human brains in their ability to store and crunch data, make predictions and communicate. But there is one domain where human brains continue to dominate: energy efficiency.

“The most efficient computers are still approximately four orders of magnitude — that’s 10,000 times — higher in energy requirements compared to the human brain for specific tasks such as image processing and recognition, although they outperform the brain in tasks like mathematical calculations,” said UC Santa Barbara electrical and computer engineering Professor Kaustav Banerjee, a world expert in the realm of nanoelectronics. “Making computers more energy efficient is crucial because the worldwide energy consumption by on-chip electronics stands at #4 in the global rankings of nation-wise energy consumption, and it is increasing exponentially each year, fueled by applications such as artificial intelligence.” Additionally, he said, the problem of energy inefficient computing is particularly pressing in the context of global warming, “highlighting the urgent need to develop more energy-efficient computing technologies.”

Neuromorphic computing has emerged as a promising way to bridge the energy efficiency gap. By mimicking the structure and operations of the human brain, where processing occurs in parallel across an array of low power-consuming neurons, it may be possible to approach brain-like energy efficiency.

Physics meets machine learning.

The Progress and Promise for Science in Indonesia Regional Special Feature focuses on biodiversity and climate change, highlighting research based on the unique geology and biology of a nation comprising more than 17,600 islands, containing about 10 percent of the world’s remaining tropical forests, and home to over 300,000 species of wildlife.

Chiral molecules—that is, those that have mirror images of themselves—have significant benefits for transistors and solar energy devices. Studying their properties in close detail, though, has been tricky due to the limited methods for doing so.

A new study highlights the successful development of the first flexible perovskite/silicon tandem solar cell with a record efficiency of 22.8%, representing a major advance in flexible solar cell technology.

Although rigid perovskite/silicon tandem solar cells have seen impressive advancements, achieving efficiencies as high as 33.9%, the development of flexible versions of these cells has been limited. The main hurdle is improving light absorption in the ultrathin silicon bottom cells without compromising their mechanical flexibility.

In their pioneering study, a research team led by Dr. Xinlong Wang, Dr. Jingming Zheng, Dr. Zhiqin Ying, Prof. Xi Yang, and Prof. Jichun Ye from the Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, has successfully demonstrated the first flexible perovskite/silicon tandem solar cell based on ultrathin silicon, with a thickness of approximately 30 µm. By reducing wafer thicknesses and adjusting the feature sizes of light-trapping textures, they significantly improved the flexibility of the silicon substrate without compromising light utilization. Additionally, by capping the perovskite top cells, they enhanced the mechanical durability of the device, thus addressing concerns related to fractures in the silicon surface.

Plus, Turing also showed that achieving universality doesn’t require anything fancy. The basic equipment of a universal machine is just not more advanced than a kid’s abacus — operations like incrementing, decrementing, and conditional jumping are all it takes to create software of any complexity: be it a calculator, Minecraft, or an AI chatbot.

Likewise, consciousness might just be an emergent property of the software running AGI, much like how the hardware of a universal machine gives rise to its capabilities. Personally, I don’t buy into the idea of something sitting on top of the physical human brain — no immortal soul or astral “I” floating around in higher dimensions. It’s all just flesh and bone. Think of it like an anthill: this incredibly complex system doesn’t need some divine spirit to explain its organized society, impressive architecture, or mushroom farms. The anthill’s intricate behaviour, often referred to as a superorganism, emerges from the interactions of its individual ants without needing to be reduced to them. Similarly, a single ant wandering around in a terrarium won’t tell you much about the anthill as a whole. Brain neurons are like those ants — pretty dumb on their own, but get around 86 billion of them together, and suddenly you’ve got “I” with all its experiences, dreams, and… consciousness.

So basically, if something can think, it can also think about itself. That means consciousness is a natural part of thinking — it just comes with the territory. And if you think about it, this also means you can’t really have thinking without consciousness, which brings us back to the whole Skynet thing.

face_with_colon_three year 2021.

The solar aircraft is made by a Spanish-American aerospace startup called Skydweller Aero. Based in Oklahoma City, the company raised $32 million in its Series A funding round, led by Italian aerospace firm Leonardo.

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