Lifeboat Foundation

Extending the limit of the human lifespan. The first immortal human has already been born.
“The first human to live to 1,000 has already been born” – Dr. Aubrey de Grey. How far are we in understanding aging and death? Do we have to age or is it a matter of a choice? What is the future of immortality? Is it possible to be immortal and if yes — how far are we in implementing medical treatment and technology that can forestall this natural process we have always thought “is just how life is”.
In this video I am reviewing the cutting-edge technologies and the pioneers in the field of extending life expectancy and reaching immortality eventually. Hint: is it closer than you might imagine!

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Continue reading “This is how close we are to biological immortality” »

Ka-52s have taken the brunt of rotary-wing losses during the invasion and their relevance is waning as Ukraine’s air defenses improve.

By shooting a laser pulse imitating the Fibonacci Sequence into qubits, physicists created a new phase of matter far better at maintaing a quantum state.

Reporting in Research Ideas and Outcomes, a Kyushu University researcher has developed a new technique for scanning various plants and animals and reconstructing them into highly detailed 3D models. To date, over 1,400 models have been made available online for public use.

Open any textbook or nature magazine and you will find stunning high-resolution pictures of the diverse flora and fauna that encompass our world. From the botanical illustrations in Dioscorides’ De materia medica (50−70 CE) to Robert Hooke’s sketches of the microscopic world in Micrographia (1665), scientists and artists alike have worked meticulously to draw the true majesty of nature.

Continue reading “Creating fast, reliable 3D scans of flora and fauna” »

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron, aims to collect some of the most relevant recent discoveries and papers — particularly in, but not limited to, artificial intelligence — and explain why they matter.

Over the past few weeks, researchers at MIT have detailed their work on a system to track the progression of Parkinson’s patients by continuously monitoring their gait speed. Elsewhere, Whale Safe, a project spearheaded by the Benioff Ocean Science Laboratory and partners, launched buoys equipped with AI-powered sensors in an experiment to prevent ships from striking whales. Other aspects of ecology and academics also saw advances powered by machine learning.

Continue reading “Perceptron: AI saving whales, steadying gaits and banishing traffic” »

A single chip has managed to transfer over a petabit-per-second according to research by a team of scientists from universities in Denmark, Sweden, and Japan. That’s over one million gigabits of data per second over a fibre optic cable, or basically the entire internet’s worth of traffic.

The researchers—A. A. Jørgensen, D. Kong, L. K. Oxenløwe—and their team successfully showed a data transmission of 1.84 petabits over a 7.9km fibre cable using just a single chip. That’s not quite as fast as some other alternatives with larger, bulkier systems, which have reached up to 10.66 petabits, but the key here is scale: the proposed system is very compact.

Researchers at the University of Texas at Austin have developed a decoder that uses information from fMRI scans to reconstruct human thoughts. Jerry Tang, Amanda LeBel, Shailee Jain and Alexander Huth have published a paper describing their work on the preprint server bioRxiv.

Prior efforts to create technology that can monitor brain waves and decode them to reconstruct a person’s thoughts have all consisted of probes placed in the brains of willing patients. And while such technology has proven useful for research efforts, it is not practical for use in other applications such as helping people who have lost the ability to speak. In this new effort, the researchers have expanded on work from prior studies by applying findings about reading and interpreting brain waves to data obtained from fMRI scans.

Recognizing that attempting to reconstruct brainwaves into individual words using fMRI was impractical, the researchers designed a decoding device that sought to gain an overall understanding of what was going on in the mind rather than a word-for-word decoding. The decoder they built was a computer algorithm that accepted fMRI data and returned paragraphs describing general thoughts. To train their algorithm, the researchers asked two men and one woman to lie in an fMRI machine while they listened to podcasts and recordings of people telling stories.

There now genetic testing of breast cancer for men and women. The mutations in BRCA1 and BRCA2 Genes will cause cancer. I think in the future though error correction in the dna code could lead to the cure using crispr.

The contribution of BRCA1 and BRCA2 to inherited breast cancer was assessed by linkage and mutation analysis in 237 families, each with at least four cases of breast cancer, collected by the Breast Cancer Linkage Consortium. Families were included without regard to the occurrence of ovarian or other cancers. Overall, disease was linked to BRCA1 in an estimated 52% of families, to BRCA2 in 32% of families, and to neither gene in 16% (95% confidence interval [CI] 6%–28%), suggesting other predisposition genes. The majority (81%) of the breast-ovarian cancer families were due to BRCA1, with most others (14%) due to BRCA2. Conversely, the majority of families with male and female breast cancer were due to BRCA2 (76%). The largest proportion (67%) of families due to other genes was found in families with four or five cases of female breast cancer only. These estimates were not substantially affected either by changing the assumed penetrance model for BRCA1 or by including or excluding BRCA1 mutation data. Among those families with disease due to BRCA1 that were tested by one of the standard screening methods, mutations were detected in the coding sequence or splice sites in an estimated 63% (95% CI 51%–77%). The estimated sensitivity was identical for direct sequencing and other techniques. The penetrance of BRCA2 was estimated by maximizing the LOD score in BRCA2-mutation families, over all possible penetrance functions. The estimated cumulative risk of breast cancer reached 28% (95% CI 9%–44%) by age 50 years and 84% (95% CI 43%–95%) by age 70 years. The corresponding ovarian cancer risks were 0.4% (95% CI 0%–1%) by age 50 years and 27% (95% CI 0%–47%) by age 70 years. The lifetime risk of breast cancer appears similar to the risk in BRCA1 carriers, but there was some suggestion of a lower risk in BRCA2 carriers.

Research labs are pursuing technology to “reprogram” aging bodies back to youth.