Lifeboat Foundation: Safeguarding Humanity
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DARPA announces a new type of cryptography to protect the Big Tech firm profits from the dawn of quantum computers and allow backdoor access into 3 trillion internet-connected devices.

by Raul Diego

The U.S. Military-Industrial complex is sprinting on a chariot to shore up the encryption space before the next era of computation upends the entire digital edifice built on semiconductors and transistors. But, the core of the effort is protecting markets for Big Tech and all of its tentacles, which stand to lose years or even decades of profits should the new tech be rolled out too quickly.

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The phrase “too much of a good thing” may sound like a contradiction, but it encapsulates one of the key hurdles preventing the expansion of renewable energy generation. Too much of a service or commodity makes it harder for companies to sell them, so they curtail production.

Usually that works out fine: The market reaches equilibrium and economists are happy. But external factors are bottlenecking renewable electricity despite the widespread desire to increase its capacity.

UC Santa Barbara’s Sangwon Suh is all too familiar with this issue. The professor of industrial ecology has focused on it and related challenges for at least the past two years at the Bren School of Environmental Science & Management. “Curtailment is the biggest problem of renewable we are facing,” said Suh, who noted it will only escalate as renewable energy capacity increases.

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Recent advancements in quantum computing have driven the scientific community’s quest to solve a certain class of complex problems for which quantum computers would be better suited than traditional supercomputers. To improve the efficiency with which quantum computers can solve these problems, scientists are investigating the use of artificial intelligence approaches.

In a new study, scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed a based on reinforcement learning to find the optimal parameters for the Quantum Approximate Optimization Algorithm (QAOA), which allows a quantum computer to solve certain combinatorial problems such as those that arise in materials design, chemistry and wireless communications.

“Combinatorial optimization problems are those for which the solution space gets exponentially larger as you expand the number of decision variables,” said Argonne scientist Prasanna Balaprakash. “In one traditional example, you can find the shortest route for a salesman who needs to visit a few cities once by enumerating all possible routes, but given a couple thousand cities, the number of possible routes far exceeds the number of stars in the universe; even the fastest supercomputers cannot find the shortest route in a reasonable time.”

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Deep learning algorithms, such as convolutional neural networks (CNNs), have achieved remarkable results on a variety of tasks, including those that involve recognizing specific people or objects in images. A task that computer scientists have often tried to tackle using deep learning is vision-based human action recognition (HAR), which specifically entails recognizing the actions of humans who have been captured in images or videos.

Researchers at HITEC University and Foundation University Islamabad in Pakistan, Sejong University and Chung-Ang University in South Korea, University of Leicester in the UK, and Prince Sultan University in Saudi Arabia have recently developed a new CNN for recognizing human actions in videos. This CNN, presented in a paper published in Springer Link’s Multimedia Tools and Applications journal, was trained to differentiate between several different human actions, including boxing, clapping, waving, jogging, running and walking.

“We designed a new 26-layered convolutional neural network (CNN) architecture for accurate complex action recognition,” the researchers wrote in their paper. “The features are extracted from the global average pooling layer and fully connected (FC) layer and fused by a proposed high entropy-based approach.”

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Elon Musk’s controversial ‘brain chip’ might be coming to us sooner than we first thought, with the technology entrepreneur promising a working demo by the end of this week.

The news comes a little over a month after Musk announced his latest start-up, Neuralink, was in the process of developing a brain-computer interface that allegedly has a life-changing range of benefits – including the ability to stream music straight into your brain.

Now, Neuralink, which has already received more than $158 million in funding, will be demonstrating a working device this coming Friday, August 28, at approximately 6.00pm ET (11.00pm BST).

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“This was a big milestone, as it was our first opportunity to turn on Ingenuity and give its electronics a ‘test drive’ since we launched on July 30,” said Tim Canham, the operations lead for Mars Helicopter at NASA’s Jet Propulsion Laboratory, in the statement. “Since everything went by the book, we’ll perform the same activity about every two weeks to maintain an acceptable state of charge.”

It’s one more step on the road to what NASA hopes will be humankind’s first flight on an alien world.

“This charge activity shows we have survived launch and that so far we can handle the harsh environment of interplanetary space,” MiMi Aung, the Ingenuity Mars Helicopter project manager, added. “We have a lot more firsts to go before we can attempt the first experimental flight test on another planet, but right now we are all feeling very good about the future.”

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More advances on artificial photosynthesis.

Scientists at the UK’s University of Cambridge have developed a renewable energy device that mimics photosynthesis by making fuel from sunlight, carbon dioxide and water.

Taking inspiration from the way that plants create their own energy, the device is a slim sheet that produces oxygen and formic acid from water, carbon dioxide and sunlight.

Formic acid can be stored and used as fuel on its own, or turned into hydrogen fuel.

Continue reading “University of Cambridge develops synthetic leaf that turns sunlight into fuel” | >

In just two years a robotic device that prints a patient’s own skin cells directly onto a burn or wound could have its first-in-human clinical trials. The 3D bioprinting system for intraoperative skin regeneration developed by Australian biotech start-up Inventia Life Science has gained new momentum thanks to major investments from the Australian government and two powerful new partners, world-renowned burns expert Fiona Wood and leading bioprinting researcher Gordon Wallace.

Codenamed Ligō from the Latin “to bind”, the system is expected to revolutionize wound repairs by delivering multiple cell types and biomaterials rapidly and precisely, creating a new layer of skin where it has been damaged. The novel system is slated to replace current wound healing methods that simply attempt to repair the skin, and is being developed by Inventia Skin, a subsidiary of Inventia Life Science.

“When we started Inventia Life Science, our vision was to create a technology platform with the potential to bring enormous benefit to human health. We are pleased to see how fast that vision is progressing alongside our fantastic collaborators. This Federal Government support will definitely help us accelerate even faster,” said Dr. Julio Ribeiro, CEO, and co-founder of Inventia.

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