Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 3899

Yeah, death is scary and freaky, but on the other hand, I have no direct idea of what it actually involves (having never been dead myself). Given that reality, my job is to live this life as completely as possible. You can engage fully in its richness, its sorrows, and its beauty, or you can miss it by worrying about when or how this aspect of being ends.

From this perspective, the transhumanist desire to “conquer” death sounds like the worst forms of religious zeal. Both science and spiritual practice are supposed to help us look directly into the truth of life, the Universe, and Everything. Death, whatever it means, is part of all three. To spend effort thinking otherwise is to, quite sadly, miss the point profoundly.

Even more important, however, is the wrong-headedness of the transhuman conception of what it means to be human. Their idea is that it’s literally all in the head. Your life, in the transhumanist conception, is reducible to the computations happening in your brain. The totality of your experience — its vibrancy and immediacy and the strange inescapable luminosity of its presence — is all just meat computing. And if that’s the case, who needs the meat? Let’s just swap out the neurons for silicon chips, and it will all be the same. Heck, it will be better, and it gets to go on forever and ever.

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In collaboration with the UC San Diego Center for Integrative Nutrition, the Berry Good Food Foundation convenes a panel of experts to discuss the rise of comprehensive medicine and nutritional healing to treat chronic disease and maintain general well-being. [6/2018] [Show ID: 33486]

Future Thought Leaders.
(https://www.uctv.tv/future-thought-leaders)

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Public Affairs UCTV goes beyond the headlines to explore economics, public policy, race, immigration, health policy and more. Hear directly from the researchers so you can be informed to make important decisions.

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Continue reading “Let Food Be Thy Medicine” | >

Do you find yourself buried under an avalanche of tedious coding tasks? Is your brain about to explode from hours of troubleshooting? Fear not, for we have just the solution you need!

In this video we have conjured up 5 magical ways ChatGPT will revolutionize the way you work in data science. Get ready to be spellbound by these 5 enchanting use cases:

0:00 Five Use-Cases Summary.
0:31 1 — Python Library Suggestions.
3:27 2 — Code Troubleshooting.
6:21 3 — Code Generation.
10:24 4-Translate Code from R to Python.
15:17 5 — Article Summarization.

With ChatGPT by your side, you can save time, increase accuracy, and take your data science skills to a whole new level. These tips and tricks are guaranteed to have a significant impact on your career in data science, whether you’re a padawan or a Jedi master.

Continue reading “ChatGPT for Data Science” | >

How often in Doctor Who does science fiction meet science FACT?

Over the 60 years Doctor Who has been on our screens, it’s fair to say the show has introduced us to a multitude of science, both fiction and fact. Aside from bio-electric dampening fields and reversing polarities, today we ask: What are some of the key bits of Doctor Who science that are relevant to life on earth today? What is the real science of Doctor Who?

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Neurologists at a memory clinic in China have diagnosed a 19-year-old with what they believe to be Alzheimer’s disease, making him the youngest person to be diagnosed with the condition in the world.

The male teenager began experiencing memory decline around age 17, and the cognitive losses only worsened over the years.

Imaging of the patient’s brain showed shrinkage in the hippocampus, which is involved in memory, and his cerebrospinal fluid hinted at common markers of this most common form of dementia.

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AirTag competitor Tile today announced a new Anti-Theft Mode for Tile tracking devices, which is designed to make Tile accessories undetectable by the anti-stalking Scan and Secure feature.

Scan and Secure is a security measure that Tile implemented in order to allow iPhone and Android users to scan for and detect nearby Tile devices to keep them from being used for stalking purposes. Unfortunately, Scan and Secure undermines the anti-theft capabilities of the Tile because a stolen device’s Tile can be located and removed, something also possible with similar security features added for AirTags.

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“I think I’m probably just as guilty as everybody else,” Toyota Research Institute’s (TRI) senior vice president of robotics, Max Bajracharya, admits. “It’s like, now our GPUs are better. Oh, we got machine learning and now you know we can do this. Oh, okay, maybe that was harder than we thought.”

Ambition is, of course, an important aspect of this work. But there’s also a grand, inevitable tradition of relearning mistakes. The smartest people in the room can tell you a million times over why a specific issue hasn’t been solved, but it’s still easy to convince yourself that this time — with the right people and the right tools — things will just be different.

In the case of TRI’s in-house robotics team, the impossible task is the home. The lack of success in the category hasn’t been for lack of trying. Generations of roboticists have agreed that there are plenty of problems waiting to be automated, but thus far, successes have been limited. Beyond the robotic vacuum, there’s been little in the way of breakthrough.

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Say you have a cutting-edge gadget that can crack any safe in the world—but you haven’t got a clue how it works. What do you do? You could take a much older safe-cracking tool—a trusty crowbar, perhaps. You could use that lever to pry open your gadget, peek at its innards, and try to reverse-engineer it. As it happens, that’s what scientists have just done with mathematics.

Researchers have examined a deep neural network—one type of artificial intelligence, a type that’s notoriously enigmatic on the inside—with a well-worn type of mathematical analysis that physicists and engineers have used for decades. The researchers published their results in the journal PNAS Nexus on January 23. Their results hint their AI is doing many of the same calculations that humans have long done themselves.

The paper’s authors typically use deep neural networks to predict extreme weather events or for other climate applications. While better local forecasts can help people schedule their park dates, predicting the wind and the clouds can also help renewable energy operators plan what to put into the grid in the coming hours.

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