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Nov 22, 2022

Black hole: Tiny black hole called ‘The Unicorn’ found ‘near’ Earth

Posted by in category: cosmology

Astronomers have discovered a tiny black hole relatively near to Earth. It has been dubbed ‘The Unicorn‘and has a mass around three times that of the Sun. The smallest black holes to have previously been discovered are at least six times the mass of the Sun, so the newly found one could fall into a new category.

But do not be fooled by its small size – it still has a gravitational pull which can consume anything around it.

The black hole was discovered by researchers at the Ohio State University, which said it was “hiding in plain sight”.

Nov 22, 2022

‘Primordial super-enhancers’ provide early snapshot of the mechanisms that allowed for multicellularity

Posted by in categories: biotech/medical, genetics

New research at the University of Chicago has found that the same machinery used by mammalian cells to drive cellular differentiation also plays a critical role in activating genes in yeast in response to environmental stress.

The results, which were published in Molecular Cell, suggest that these machines, known as transcriptional condensates, are an ancient, conserved tool used by to promote high level for over a billion years. The findings are helping to not only better explain how cells respond dynamically to environmental cues but also have implications for understanding human diseases such as cancer and neurodegeneration.

The study extends existing research on transcriptional condensates in into yeast and their heat shock response—how cells respond to high temperatures. “The heat shock response is ancient,” said David Pincus, Ph.D., Assistant Professor of Molecular Genetics and Cell Biology at UChicago. “This response existed long before there were people—long before there were even yeast. It predates the split between prokaryotes and eukaryotes, so it’s a really fundamental and important cellular response.”

Nov 22, 2022

Powerhouses of the Cells: Mitochondria have a Waste Disposal Mechanism to get rid of Mutated mtDNA

Posted by in categories: biotech/medical, food, genetics, life extension

A research team has identified a molecular target that could open up new therapeutic options to treat aging-associated diseases like Parkinson’s. Scientists at the University of Cologne have discovered how cells can eliminate mutated mitochondrial DNA (mtDNA). Mitochondria are the powerhouses of our cells. Due to their evolutionary descent from bacteria, they still have genetic material packaged in chromosome-like structures (nucleoids). They convert the chemical energy in our food into a biologically usable form. A team of researchers from the University of Cologne’s Physiology Centre at the Faculty of Medicine, the Centre for Molecular Medicine Cologne (CMMC) and the CECAD Cluster of Excellence for Aging Research has now shown that mutations of the mtDNA lead to a local rearrangement of proteins in the mitochondrial membrane. The mutated mtDNA is targeted, eliminated, and subjected to autophagy, the cellular ‘waste disposal’. The results have appeared in Nature Communications under the title ‘Mitochondrial membrane proteins and VPS35 orchestrate selective removal of mtDNA’.

In many tissues, mutations in mtDNA accumulate as a result of normal aging. These kinds of mutations are an important cause of many aging-associated diseases. There are thousands of copies mtDNA in every cell, so mitochondrial function is only impaired when the percentage of mutated mtDNA molecules exceeds a certain threshold value. It has long been established that mitochondrial damage, including acute mtDNA damage, triggers the process of mitophagy. In this process, dysfunctional mitochondrial parts are selectively degraded and recycled.

Dr David Pla-Martin, the lead author of the current study, explained the details: ‘What is new in our study is that this mechanism does not affect the cells’ endowment with mitochondria, but only clears out the damaged mtDNA. By labelling neighbouring proteins — so-called proximity labelling — we showed that mtDNA damage leads to the recruitment of endosomes in close proximity to nucleoids.’ Their removal is coordinated by the interaction of the nucleoid protein Twinkle and the mitochondrial membrane proteins SAMM50 and ATAD3 controls their distribution, SAMM50 induces the release and transfer of the nucleoid to the so-called endosomes. ‘This additionally prevents the activation of an immune response. The protein VPS35, the main component of the retromer, mediates the maturation of early endosomes into late autophagy vesicles, where degradation and recycling ultimately take place,’ said Pla-Martin.

Nov 22, 2022

This AI Supercomputer Has 13.5 Million Cores—and Was Built in Just Three Days

Posted by in categories: robotics/AI, supercomputing

At the time, all this was theoretical. But last week, the company announced they’d linked 16 CS-2s together into a world-class AI supercomputer.

Meet Andromeda

The new machine, called Andromeda, has 13.5 million cores capable of speeds over an exaflop (one quintillion operations per second) at 16-bit half precision. Due to the unique chip at its core, Andromeda isn’t easily compared to supercomputers running on more traditional CPUs and GPUs, but Feldman told HPC Wire Andromeda is roughly equivalent to Argonne National Laboratory’s Polaris supercomputer, which ranks 17th fastest in the world, according to the latest Top500 list.

Nov 22, 2022

NeurIPS: Why causal-representation learning may be the future of AI

Posted by in categories: futurism, robotics/AI

In a conversation right before the 2021 Conference on Neural Information Processing Systems (NeurIPS), Amazon vice president and distinguished scientist Bernhard Schölkopf — according to Google Scholar, the most highly cited researcher in the field of causal inference — said that the next frontier in artificial-intelligence research was causal-representation learning.

Where existing approaches to causal inference use machine learning to discover causal relationships between variables — say, the latencies of various interrelated services on a website — causal-representation learning learns the variables themselves. “These kinds of causal representations will also go toward reasoning, which we will ultimately need if we want to move away from this pure pattern recognition view of intelligence,” Schölkopf said.

Francesco Locatello, a senior applied scientist with Amazon Web Services, leads Amazon’s research on causal-representation learning, and he’s a coauthor on four papers at this year’s NeurIPS.

Nov 22, 2022

Scientists find causes of most major cancers

Posted by in category: biotech/medical

In a recent study from Yale University, scientists found the factors causing changes in the DNA that contribute most to cancer growth in tumors of most major tumor types. Some of the most prevalent cancers in the United States are known to be highly preventable by human decisions.

Nov 22, 2022

Biotech Grad’s Tech for Odourless & Waterless Urinals Saves 55 Cr Litres of Water

Posted by in category: biotech/medical

Kedar Kulkarni, a 27-year-old from Pune is transforming public urinals into odourless and hygienic urinals, using the waterless technology he innovated.

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Nov 22, 2022

Lethal cancer cells buddy up to survive

Posted by in categories: biotech/medical, chemistry

Tumor cells in the most common pancreatic cancer share nutrients to live and grow. A new discovery by University of California, Irvine biologists and collaborators during a four-year investigation could help lead to better treatments for pancreatic ductal adenocarcinoma, which accounts for over 90 percent of pancreatic cancer cases. The scientists’ paper appears in Nature Cancer. While pancreatic cancer is relatively rare, it is among the leading causes of cancer death in the United States.

One obstacle in treating , known as PDA, is that it generally does not show early symptoms. Another hurdle is the complexity of its dense and fibrous tumors. Consequently, they do not have fully functioning in the tumor. On one front, this makes it difficult to deliver effective chemotherapy. However, it also means the tumors have developed a different kind of metabolism.

“Without blood vessels, PDA cells aren’t getting the normal nutrients they need, so they have come up with other ways to nourish themselves and grow,” said Christopher Halbrook, assistant professor of molecular biology & biochemistry, and lead and co-corresponding author. Understanding this process is essential for devising treatments targeting the cancer’s metabolism.

Nov 22, 2022

Can you stand on one leg for 10 seconds? Why balance could be a matter of life and death — and how to improve yours

Posted by in category: health

Studies have shown poor balance can be associated with serious health problems – as well as increased risks of falls as we get older. But there are ways to make yours better.

Nov 22, 2022

What is Galactica AI Assistance?

Posted by in categories: life extension, robotics/AI

Large language models have advanced significantly in recent years (LLMs). Impressive LLMs have been revealed one after the other, beginning with OpenAI’s GPT-3, which generates exceptionally correct texts and ends with its open-source counterpart BLOOM. Language-related problems that were previously unsolvable had become simply a challenge for these systems.

All of this progress is made possible by the vast amount of data available on the Internet and the accessibility of powerful GPUs. As appealing as they may sound, training an LLM is an incredibly expensive procedure in terms of both data and technology needs. We’re talking about AI systems with billions of parameters, so feeding these models with enough data isn’t easy. However, once you do it, they give you a stunning performance.

Have you ever wondered where the development of “computing” gadgets began? Why did individuals devote so much time and energy to designing and constructing the first computers? We can presume it was not for the purpose of amusing people with video games or YouTube videos.