Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 4939

“This is a significant milestone in renewable technology production. From touch screen displays, biosensors, radio frequency identification tags, electric vehicle batteries, and more, the technology’s applications are vast,” said Stuart Jara, HydroGraph chief executive officer.

With growing possibilities for printed electronics every day, the need for conductive inks like graphene ink is on the rise. HydroGraph’s highly competitive cost and mass production method for high quality graphene opens up a wealth of opportunity for the practical applications of conductive ink patterns.

“Once the ink is made, it can then be deployed in regular inkjet printers to make small-scale, flexible electronics. This puts manufacturing capabilities into the reach of many, making it far more accessible,” said Dr. Chris Sorensen, HydroGraph vice president R&D.

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What is dark matter? Does it even exist, or do we just need an adjustment to our theory of gravity?

What is dark matter? It has never been observed, yet scientists estimate that it makes up 85% of the matter in the universe. The short answer is that no one knows what dark matter is. More than a century ago, Lord Kelvin offered it as an explanation for the velocity of stars in our own galaxy. Decades later, Swedish astronomer Knut Lundmark noted that the universe must contain much more matter than we can observe. Scientists since the 1960s and ’70s have been trying to figure out what this mysterious substance is, using ever-more complicated technology. However, a growing number of physicists suspect that the answer may be that there is no such thing as dark matter at all.

Scientists can observe far-away matter in a number of ways. Equipment such as the famous Hubble telescope measures visible light while other technology, such as radio telescopes, measures non-visible phenomena. Scientists often spend years gathering data and then proceed to analyze it to make the most sense of what they are seeing.

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Berkeley Lab Researchers Record Successful Startup of LUX-ZEPLIN Dark Matter Detector at Sanford Underground Research Facility

An innovative and uniquely sensitive dark matter detector – the LUX-ZEPLIN (LZ) experiment – has passed a check-out phase of startup operations and delivered first results. LZ is located deep below the Black Hills of South Dakota in the Sanford Underground Research Facility (SURF) and is led by the DOE’s Lawrence Berkeley National Laboratory (Berkeley Lab).

The take-home message from this successful startup: “We’re ready and everything’s looking good,” said Berkeley Lab senior physicist and past LZ spokesperson Kevin Lesko. “It’s a complex detector with many parts to it and they are all functioning well within expectations,” he said.

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This graph shows the worldwide economic losses from weather-related events, from 1970 through to the present day, with a future trend projected out to 2060.

The data here is from Swiss Re, the world’s largest reinsurer, and is adjusted for inflation at 2021 prices. It excludes non-weather disasters, such as earthquakes, tsunamis, and volcanic eruptions.

A significant gap exists between the total economic damages and the losses protected by insurance. For example, the worldwide figure for weather-related disasters in 2021 amounted to $233.27 billion, of which insurance covered “only” $101.12 billion.

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A carbon-neutral synthesis of kerosene, or jet fuel, has been produced by scientists, made by combining sunlight with water.

5% of human emissions are generated through kerosene use in aviation, which currently has no alternative for long haul jetting.

It consists of 169 sun-tracking reflective panels that redirect and concentrate solar radiation into a solar reactor on top of a tower built at IMDEA Energy Institute in Madrid back in 2017.

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From Human to Artificial General Intelligence

Humans have an almost unbounded set of skills and knowledge, and quickly learn new information without needing to be re-engineered to do so. It is conceivable that an AGI can be built using an approach that is fundamentally different from human intelligence. However, as three longtime researchers in AI and cognitive science, our approach is to draw inspiration and insights from the structure of the human mind. We are working toward AGI by trying to better understand the human mind, and better understand the human mind by working toward AGI.

From research in neuroscience, cognitive science, and psychology, we know that the human brain is neither a huge homogeneous set of neurons nor a massive set of task-specific programs that each solves a single problem. Instead, it is a set of regions with different properties that support the basic cognitive capabilities that together form the human mind.

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