Lifeboat Foundation: Safeguarding Humanity
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Back pain is a common condition with numerous causes, including poor posture, overexertion, constant stress at work or at home, lack of exercise, and poor posture. For a considerable number of patients, the symptoms are chronic, meaning they last a long period or reoccur repeatedly. However, port and exercise therapy, when done properly, can provide alleviation.

Physiotherapy, as well as strength and stability exercises, are common treatment options. But how can the treatment be as effective as possible? Which method reduces pain the most effectively? A recent meta-analysis published in the Journal of Pain by Goethe University Frankfurt revealed new insights.

The researchers began with data from 58 randomized controlled trials (RCTs) involving over 10,000 individuals suffering from chronic low back pain throughout the globe. The relevant data from the original manuscripts were first filtered out and then analyzed in groups. When analyzing this data, the researchers looked at whether and how conventional forms of therapy and individualized treatment varied in terms of outcome. “Individualized” refers to some kind of personal coaching where therapists precisely target the needs and potentials of each patient and collaborate with them to choose the course of their treatment.

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To show how computer chips are improving a bit, my first computer, an Apple II+ based on the 6,502 chip, had 7 bytes of memory on the chip. Nvidia’s H100 chip has 85,986,377,728 bytes of memory on it!

The 6,502 was a very successful chip and is still made today, with over 6 billion units sold!

(My home PC has about 283,506,646,208 bytes of memory but that is contained in multiple chips.)

(typically pronounced “sixty-five-oh-two” or “six-five-oh-two”)[3] is an 8-bit microprocessor that was designed by a small team led by Chuck Peddle for MOS Technology. The design team had formerly worked at Motorola on the Motorola 6800 project; the 6,502 is essentially a simplified, less expensive and faster version of that design.

When it was introduced in 1975, the 6,502 was the least expensive microprocessor on the market by a considerable margin. It initially sold for less than one-sixth the cost of competing designs from larger companies, such as the 6,800 or Intel 8080. Its introduction caused rapid decreases in pricing across the entire processor market. Along with the Zilog Z80, it sparked a series of projects that resulted in the home computer revolution of the early 1980s.

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AI-generated art has arrived.

With a presentation making its debut this week at The Museum of Modern Art in New York City — perhaps the world’s premier institution devoted to modern and contemporary art — the AI technologies that have upended trillion-dollar industries worldwide over the past decade will get a formal introduction.

Created by pioneering artist Refik Anadol, the installation in the museum’s soaring Gund Lobby uses a sophisticated machine-learning model to interpret the publicly available visual and informational data of MoMA’s collection.

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“There are no hard limits imposed by biology or by physics that says that we can’t live better longer,” Kristen Fortney, CEO of San Francisco-based BioAge Labs, told the outlet. Focused on discerning the markers of aging, BioAge Labs is using large amounts of biobank blood and tissue samples to do so.

The company has already found a drug target that slows aging-linked muscle loss in mice.

“There is a protein called apelin that circulates in the blood, and we saw that middle-aged people with higher levels of apelin in their blood were living longer, with better muscle function and better cognitive function as they age,” Fortney said, according to Express.

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Its why we should reverse engineer lab rat brains, crow brains, pigs, and chimps, ending on fully reverse engineering the human brain. even if its a hassle. i still think could all be done by end of 2025.

Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying. The flexibility of these “liquid” neural nets meant boosting the bloodline to our connected world, yielding better decision-making for many tasks involving time-series data, such as brain and heart monitoring, weather forecasting, and stock pricing.

But these models become computationally expensive as their number of neurons and synapses increase and require clunky computer programs to solve their underlying, complicated math. And all of this math, similar to many , becomes harder to solve with size, meaning computing lots of small steps to arrive at a solution.

Now, the same team of scientists has discovered a way to alleviate this by solving the differential equation behind the interaction of two neurons through synapses to unlock a new type of fast and efficient artificial intelligence algorithms. These modes have the same characteristics of liquid neural nets—flexible, causal, robust, and explainable—but are orders of magnitude faster, and scalable. This type of neural net could therefore be used for any task that involves getting insight into data over time, as they’re compact and adaptable even after training—while many traditional models are fixed.

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Polar bears begin living in abandoned buildings in a remote island.

Kokh’s photos are a welcome sight, as we’re often shown images of polar bears who are struggling. But here, we are able to see these incredible creatures lounging on the grass or peering out from windows to see what Kokh is up to. This thrilling opportunity to see the polar bears is something that Kokh will not soon forget. He and his traveling companions covered over 1,200 miles of the coast in a sailboat, exploring the untouched landscape.

Their original destination to photograph polar bears—Wrangle Island—turned out to be a bust. Though the island is famous for its bears, they simply weren’t there when the adventurers landed. Instead, they were treated to something that was perhaps better—and certainly more unexpected.

“Nature always sends you something when you least expect it,” Kokh tells My Modern Met. “When we passed through the Kolyuchin Island near the Northern coast of Chukotka, we saw some movements in the windows of the abandoned houses. And when we got close—those were bears! Never before they were seen in those buildings, so that was a once in a lifetime situation.”

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