Lifeboat Foundation

Wasn’t it science-fiction writer, futurist, inventor, undersea explorer, and television series host, Arthur C. Clarke, who said, “Any sufficiently advanced technology is indistinguishable from magic?” Yes, in fact, it was! And the same is true today! Technology is magic! And the great thing about living in the future is we get to reap the benefits of all this technological advancement. Who doesn’t want lazer-precise internet? Why not take a vacation in outer space? Where is the driverless car taking us? These are the questions we face when we take a look at the future — up close… 15 Emerging Technologies That Will Change Our World.

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ROCHESTER, Minn. ― Adding messenger RNA, or mRNA therapy improves the response to cancer immunotherapy in patients who weren’t responding to the treatment, Mayo Clinic research shows. Immunotherapy uses the body’s immune system to prevent, control and eliminate cancer. The study is published in Cancer Immunology Research, a journal of the American Association for Cancer Research.

The phrase messenger RNA and its acronym, mRNA, have become familiar to the public during the COVID-19 pandemic. The mRNA vaccines for COVID-19 work by instructing cells in the body how to make a protein that triggers an immune response against the virus.

MRNA technology has also been of interest to cancer researchers and physicians. One of the major obstacles in cancer treatment is the low response rate in patients who receive immune checkpoint inhibitors to prevent an immune response from being so strong that it destroys healthy cells in the body.

In this video Dr. Lustgarten introduces his N of 1 experiment and gives an overview of the processes that he follows. He also discusses why he thinks it is important to track your own markers and not just rely on published trials.

Dr. Michael Lustgarten is a scientist at the Tufts University Human Nutrition Research Center on Aging in Boston, Massachusetts. His research currently focuses on the role of the gut microbiome and serum metabolome on muscle mass and function in older adults.
In this series of interviews Dr Lustgarten shares his experience with his rigorous n of 1 experiment over the last 7 years and shows how we or anyone can conduct a similar trial by tracking food, exercise and sleep, measure results and derive relationships between them, with a goal of extending our healthspan.

Continue reading “N Of 1 Extend Lifespan Experiment: How To Start | Dr Michael Lustgarten Interview Series 3 Ep 1” »

Deepmind has just publically released their GPT-3 competitor called Gopher AI which is able to outcompete GPT by almost 10 times at a much better efficiency level. DeepMind said that larger models are more likely to generate toxic responses when provided with toxic prompts. They can also more accurately classify toxicity. The model scale does not significantly improve results for areas like logical reasoning and common-sense tasks. The research team found out that the capabilities of Gopher exceed existing language models for a number of key tasks. This includes the Massive Multitask Language Understanding benchmark, where Gopher demonstrates a significant advancement towards human expert performance over prior work.
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TIMESTAMPS:
00:00 Deepmind’s Road to Human Intelligence.
02:09 The Dangers of Deepmind’s AI
04:46 How Gopher AI works.
06:17 How this AI could be used.
08:17 Last Words.
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#ai #deepmind #futurism

A lunar rock brought to Earth nearly half a century ago is revealing new information about the moon’s complex history.

NASA’s Apollo 17 mission left the moon to return to Earth 49 years ago Tuesday (Dec. 14) and humanity hasn’t been back to our natural satellite since. In a new study, researchers examined a moon rock collected by astronauts during Apollo 17. By measuring the composition of the rock, designated “troctolite 76535,” scientists have found patterns that point to a 20-million-year cooling period during the moon’s history, defying previous understanding of lunar evolution.

Transformers and multi-modal learning were two of the hot topics at this year’s annual A.I. research confab.

Economist Daniel Kahneman on why the human brain makes avoidable mistakes when solving problems.

That was a key takeaway from a conversation between economist Daniel Kahneman and MIT professor of brain and cognitive science Josh Tenenbaum at the Conference on Neural Information Processing Systems (NeurIPS) recently. The pair spoke during the virtual event about the shortcomings of humans and what we can learn from them while building A.I.

Kahneman, a Nobel Prize winner in economic sciences and the author of Thinking, Fast and Slow, noted an instance in which humans use judgment heuristics—shortcuts, essentially—to answer questions they don’t know the answer to. In the example, people are given a small amount of information about a student: She’s about to graduate, and she was reading fluently when she was 4 years old. From that, they’re asked to estimate her grade point average.

Using this information, many people will estimate the student’s GPA to be 3.7 or 3.8. To arrive there, Kahneman explained, they assign her a percentile on the intelligence scale—usually very high, given what they know about her reading ability at a young age. Then they assign her a GPA in what they estimate to be the corresponding percentile.

The water is likely in the form of ice, and it could make the canyon system a tempting spot for human exploration.

There they found a rectangular submerged structure that measures 300 metres by 150 metres and may have a correlation with the information that ancient authors provided, however, this new discovery still contends against other proposed theories for the location of the temple.

Archaeologists plan to conduct detailed archaeological surveys of the area (terrestrial and underwater) to determine the chronology and function of each of the detected structures and reconstruct the history of the area.