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Robotics and artificial intelligence to improve health rehabilitation – EurekAlert

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Credit: UC3M

A Universidad Carlos III de Madrid (UC3M) spin-off, Inrobics Social Robotics, S.L.L., has developed a robotic device that provides an innovative motor and cognitive rehabilitation service that can be used at health centres as well as at home. Inrobics was created using research results from the Universitys Department of Computer Science and Engineering.

The entrepreneurial team has developed a platform made up of four elements: a robot that interacts with the patient, an artificial intelligence system that uses a 3D sensor to control the robot, an application that can be used by health care staff to set up and track sessions, and a cloud-based storage system which contains information and analytics from all of the rehabilitation processes. The 3D sensor allows us to know the patients position at all times.

For example, we know if they are raising their arm, but we also know if they turn their spine to compensate for difficulty when doing so. All of this information is compiled and entered into the clinical reports that are generated, says Fernando Fernndez, professor at the UC3Ms Department of Computer Science and Engineering and founding partner of Inrobics.

The objective is to improve rehabilitation therapies using imitation-based activities and a series of exercises, as well as provide additional tools for health care staff to optimise these sessions. For example, for patients like children, interacting with a robot is like playing with a toy. They never think they are going to the hospital for rehabilitation, they think they are going to play. This is the added value that we offer. On the other hand, we are also able to enrich the therapists working situation, as they often lack tools adapted to specific patients profiles, says Jos Carlos Pulido, founding CEO of Inrobics.

In addition to this, the platform, which has been designed by paediatric professionals (cognitive and functional diversity) along with geriatric professionals (active ageing and accompaniment), can also be used at home as a remote rehabilitation resource to improve family balance and quality of life.

The Spanish National Hospital for Paraplegics (Toledo) is the first centre to conduct a clinical trial using these artificial intelligence tools, which have been used with paediatric patients.with spinal cord injuries.

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How The Overlap Between Artificial Intelligence And Stem Cell Research Is Producing Exciting Results – Forbes

Passage Of California Stem Cell Proposition Boosts Research

For the last decade and more, Stem Cell research and regenerative medicine have been the rave of the healthcare industry, a delicate area that has seen steady advancements over the last few years.

The promise of regenerative medicine is simple but profound that one day medical experts will be able to diagnose a problem, remove some of our body cells called stem cells and use them to grow a cure for our ailment. Using our body cells will create a highly personalized therapy attuned to our genes and systems.

The terminologies often used in this field of medicine can get a bit fuzzy for the uninitiated, so in this article, I have relied heavily on the insights of Christian Drapeau, a neurophysiologist and stem cell expert.

Drapeau was one of the first voices who discovered and began to speak about stem cells being the bodys repair system in the early 2000s. Since then, he has gone on to discover the first stem cell mobilizer, and his studies and research delivered the proof of concept that the AFA (Aphanizomenon flos-aquae) extract was capable of enhancing repair from muscle injury.

Christian Drapeau is also the founder of Kalyagen, astem cell research-based company, and the manufacturers of Stemregen. This stem cell mobilizer combines some of the most effective stem cell mobilizers Drapeau has discovered to create an effective treatment for varying diseases.

How exactly do stem cell-based treatments work? And how is it delivering on its promise of boosting our abilities to regenerate or self-heal?

Drapeau explains the concept for us;

Stem cells are mother cells or blank cells produced by the bone marrow. As they are released from the bone marrow stem cells can travel to any organ and tissue of the body, where they can transform into cells of that tissue.Stem cells constitute the repair system of the body.

The discovery of this function has led scientists on a long journey to discover how to use stem cells to cure diseases, which are essentially caused by cellular loss. Diseases like Diabetes and age-related degenerative diseases are all associated with the loss of a type of cell or cellular function.

However, what Drapeaus research has unearthed over the last few decades is that there are naturally occurring substances that show a demonstrated ability to induce the release of stem cells from the bone marrow. These stem cells then enter the bloodstream, from where they can travel to sites of cell deficiency or injury in the body to aid healing and regeneration. This process is referred to as Endogenous Stem Cell Mobilization (ESCM).

Stemregen is our most potent creation so far, explains Drapeau, and it has shown excellent results with the treatment of problems in the endocrine system, muscles, kidneys, respiratory systems, and even with issues of erectile dysfunction.

Despite the stunning advancements that have been made so far, a concern that both Drapeau and I share is how this innovation can be merged with another exciting innovation; AI.

Is it even a possibility? Drapeau, an AI enthusiast, explains that AI has already been a life-saver in stem cell research and has even more potential.

On closer observation, there are a few areas in which AI has greatly benefited stem cell research and regenerative medicine.

One obstacle that scientists have consistently faced with delivering the full promise of regenerative medicine is the complexity of the available data.Cells are so different from each other that scientists can struggle with predicting what the cells will do in any given therapeutic scenario. Scientists are faced with millions of ways that medical therapy could go wrong.

Most AI experts believe that in almost any field, AI can provide a solution whenever there is a problem with data analysis and predictive analysis.

Carl Simon, a biologist at the National Institute of Standards and Technology (NIST) and Nicholas Schaub recentlytested this hypothesiswhen they applied Deep Neural Networks (DNN), an AI program to the data they had collected in their experiments on eye cells. Their research revolved around causes and solutions for age-related eye degeneration. The results were stunning; the AI made only one incorrect prediction about cell changes out of 36 predictions it was asked to make.

Their program learned how to predict cell function in different scenarios and settings from annotated images of cells. It soon could rapidly analyze images of the lab-grown eye tissues to classify the tissues as good or bad. This discovery has raised optimism in the stem cell research space.

Drapeau explains why this is so exciting;

When we talk about stem cells in general, we say stem cells as if they were all one thing, but there are many different types of stem cells.For example, hair follicle and dental pulp stem cells contain neuronal markers and can easily transform into neurons to repair the brain. Furthermore, the tissue undergoing repair must signal to attract stem cells and must secrete compounds to stimulate stem cell function. A complex analysis of the tissue that needs repair and the conditions of that tissue using AI, in any specific individual, will help select the right type of stem cells and the best cells in that stem cell population, along with the accompanying treatment to optimize stem cell-based tissue repair.

Christian Drapeau

Ina study published in Februaryof this year inStem Cells, researchers from Tokyo Medical and Dental University (TMDU) reported that their AI system, called DeepACT, had successfully identified healthy, productive skin stem cells with the same accuracy that a human could. This discovery further strengthens Drapeaus argument on the potentials of AI in this field.

This experiment owes its success to AIs machine learning capabilities, but it is expected that Deep Learning can be beneficially introduced into regenerative medicine.There are many futuristic projections for these possibilities, but many of them are not as far-fetched as they may first seem.

Researchers believe that AI can help fast-track the translation of regenerative medicine into clinical practice; the technology can be used to predict cell behavior in different environments. Therefore, hypothetically, it can be used to simulate the human environment. This means that researchers can gain in-depth information more rapidly.

Perhaps the most daring expectation is the possibility of using AI to pioneer the 3D printing of organs. In a world where organ shortage is a harsh reality, this would certainly come in handy. AI algorithms can be utilized to identify the best materials for artificial organs, understand the anatomic challenges during treatment, and design the organ.

Can stem cells actually be used along with other biological materials to grow functional 3D-printed organs? If this is possible, then pacemakers will soon give way to 3D-printed hearts. A 3D-printedheart valvehas already become a reality in India, making this even more of an imminent possibility.

While all of these possibilities excite Drapeau, he is confident that AIs capabilities with data analysis and prediction, which is already largely in use, would go down as its most beneficial contribution to stem cell research;

It was already shown that stem cells laid on the connective tissue of the heart, the soft skeleton of the heart, can lead the entire formation of a new heart. Stem cells have this enormous regenerative potential. AI can take this to another level by helping establish the conditions in which this type of regeneration can be orchestrated inside the body.But we have to be grateful for what we already have, over the last 20 years, I have studied endogenous stem cell mobilization and today the fact that we have such amazing results with Stemregen is testament that regenerative medicine is already a success.

As AI continues to scale over industry boundaries, we can only sit back and hope it delivers on its full potential promise. Who knows? Perhaps AI really can change the world.

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Amazon and Alphabet lead the way in artificial intelligence, data reveals – Verdict

Amazon and Alphabet are among the companies best positioned to take advantage of future artificial intelligence disruption in the technology industry, a GlobalData analysis shows.

The assessment comes from GlobalDatas Thematic Research ecosystem, which ranks companies on a scale of one to five based on their likelihood to tackle challenges like artificial intelligence and emerge as long-term winners of the technology sector.

According to our analysis, Amazon, Alphabet, Microsoft, IBM, Alibaba, Apple, Baidu, Huawei, Yandex, Z Holdings, Airbnb, ByteDance, Nvidia, Inspur Electronic, Tesla, ABB, TSMC, GE, Expedia, Siemens, Alibaba Pictures, Darktrace, AMD, Wayfair, iFlytek, Nuance, Suning.com, Cambricon and Graphcore are the companies best positioned to benefit from investments in artificial intelligence, all of them recording scores of five out of five in GlobalDatas Advertising, Application software, Cloud services, Consumer electronics, Ecommerce, Industrial automation, IT infrastructure, Music, Film, & TV, Publishing, Semiconductors and Social media Thematic Scorecards.

Amazon, for example, has advertised for 18,116 new artificial intelligence jobs from October 2020 to September 2021; and mentioned artificial intelligence in company filings 86 times.

Alphabet indicated good levels of AI investment, with the company looking for 2,349 new artificial intelligence jobs since October 2020; and mentioning artificial intelligence in filings 137 times.

The table below shows how GlobalData analysts scored the biggest companies in the technology industry on their artificial intelligence performance, as well as the number of new artificial intelligence jobs, deals, patents and mentions in company reports since October 2020.

Higher numbers usually indicate that a company has spent more time and resources on improving its artificial intelligence performance, or that artificial intelligence is at least at the top of executives minds. However, it may not always mean that it is doing better than the competition.

A high number of mentions of artificial intelligence in quarterly company filings could indicate either that the company is reaping the rewards of previous investments, or that it needs to invest more to catch up with the rest of the industry. Similarly, a high number of deals could indicate that a company is dominating the market, or that it is using mergers and acquisitions to fill in gaps in its offering.

Nevertheless, these trends are useful in showing us the extent to which top executives in the technology sector and at specific organisations think about artificial intelligence, and the extent to which they stake their future on it.

This article is based on GlobalData research figures as of 10 November 2021. For more up-to-date figures, check the GlobalData website.

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Scientists discover lie detector that uses artificial intelligence to detect micro-expressions – WION

Scientists have discovered a new lie detector that can read facial muscles that people won't even know they are using.

The study, conducted by the researchers at Tel Aviv University, has been in 'Brain and Behaviour.'

It was conducted on the basis of micro-expressions that vanish in 40 to 60 milliseconds due to which accuracy and speed played a key role.

Also read |Experts look to recycle dangerous space junk into rocket fuel in Earth's orbit

According to behavioral neuroscientist Dino Levy, ''it's not perfect, but much better than any existing [facial recognition] technology.''

''Since this was an initial study, the lie itself was very simple,'' he added.

Researchers tested the give-away indicators on 48 participants during which people had tells such twitching of eyebrows or cheek muscles.

''We successfully detected lies in all the participants and did so significantly better than untrained human detectors,'' explains Levy.

Also read |Facebook advertisers promoted false claims about climate change during COP26 summit

''Interestingly, individuals who were able to successfully deceive their human counterparts were also poorly detected by the machine-learning algorithm,'' he added.

The lie detector was driven by artificial intelligence and hopes to bring more transparency. It can also be used to ramp up border security.

Researchers believe it could make its way into the private sector, for example, to screen insurance claims or job applicants.

They usually face criticism from human rights groups that question the technologys ability to accurately assess peoples intentions and its potential for discrimination.

(With inputs from agencies)

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Artificial Intelligence Successfully Predicts Protein Interactions Could Lead to Wealth of New Drug Targets – SciTechDaily

The yeast proteins shown in different colors come together as two-, three-, four-, and five-member complexes like 3D puzzle pieces to execute cellular functions. An international team led by researchers at UT Southwestern and the University of Washington predicted the structures using artificial intelligence techniques. Credit: UT Southwestern Medical Center

Research led by UT Southwestern and the University of Washington could lead to a wealth of drug targets.

UT Southwestern and University of Washington researchers led an international team that used artificial intelligence (AI) and evolutionary analysis to produce 3D models of eukaryotic protein interactions.The study, published inScience, identified more than 100 probable protein complexes for the first time and provided structural models for more than 700 previously uncharacterized ones. Insights into the ways pairs or groups of proteins fit together to carry out cellular processes could lead to a wealth of new drug targets.

Our results represent a significant advance in the new era in structural biology in which computation plays a fundamental role, said Qian Cong, Ph.D., Assistant Professor in the Eugene McDermott Center for Human Growth and Development with a secondary appointment in Biophysics.

Qian Cong, Ph.D. Credit: UT Southwestern Medical Center

Dr. Cong led the study with David Baker, Ph.D., Professor of Biochemistry and Dr. Congs postdoctoral mentor at the University of Washington prior to her recruitment to UT Southwestern. The study has four co-lead authors, including UT Southwestern Computational Biologist Jimin Pei, Ph.D.

Proteins often operate in pairs or groups known as complexes to accomplish every task needed to keep an organism alive, Dr. Cong explained. While some of these interactions are well studied, many remain a mystery. Constructing comprehensive interactomes or descriptions of the complete set of molecular interactions in a cell would shed light on many fundamental aspects of biology and give researchers a new starting point on developing drugs that encourage or discourage these interactions. Dr. Cong works in the emerging field of interactomics, which combines bioinformatics and biology.

Until recently, a major barrier for constructing an interactome was uncertainty over the structures of many proteins, a problem scientists have been trying to solve for half a century. In 2020 and 2021, a company called DeepMind and Dr. Bakers lab independently released two AI technologies called AlphaFold (AF) and RoseTTAFold (RF) that use different strategies to predict protein structures based on the sequences of the genes that produce them.

In the current study, Dr. Cong, Dr. Baker, and their colleagues expanded on those AI structure-prediction tools by modeling many yeast protein complexes. Yeast is a common model organism for fundamental biological studies. To find proteins that were likely to interact, the scientists first searched the genomes of related fungi for genes that acquired mutations in a linked fashion. They then used the two AI technologies to determine whether these proteins could be fit together in 3D structures.

Their work identified 1,505 probable protein complexes. Of these, 699 had already been structurally characterized, verifying the utility of their method. However, there was only limited experimental data supporting 700 of the predicted interactions, and another 106 had never been described.

To better understand these poorly characterized or unknown complexes, the University of Washington and UT Southwestern teams worked with colleagues around the world who were already studying these or similar proteins. By combining the 3D models the scientists in the current study had generated with information from collaborators, the teams were able to gain new insights into protein complexes involved in maintenance and processing of genetic information, cellular construction and transport systems, metabolism, DNA repair, and other areas. They also identified roles for proteins whose functions were previously unknown based on their newly identified interactions with other well-characterized proteins.

The work described in our new paper sets the stage for similar studies of the human interactome and could eventually help in developing new treatments for human disease, Dr. Cong added.

Dr. Cong noted that the predicted protein complex structures generated in this study are available to download fromModelArchive. These structures and others generated using this technology in future studies will be a rich source of research questions for years to come, she said.

Reference: Computed structures of core eukaryotic protein complexes by Ian R. Humphreys, Jimin Pei, Minkyung Baek, Aditya Krishnakumar, Ivan Anishchenko, Sergey Ovchinnikov, Jing Zhang, Travis J. Ness, Sudeep Banjade, Saket R. Bagde, Viktoriya G. Stancheva, Xiao-Han Li, Kaixian Liu, Zhi Zheng, Daniel J. Barrero, Upasana Roy, Jochen Kuper, Israel S. Fernndez, Barnabas Szakal, Dana Branzei, Josep Rizo, Caroline Kisker, Eric C. Greene, Sue Biggins, Scott Keeney, Elizabeth A. Miller, J. Christopher Fromme, Tamara L. Hendrickson, Qian Cong and David Baker, 11 November 2021, Science.DOI: 10.1126/science.abm4805

Dr. Cong is a Southwestern Medical Foundation Scholar in Biomedical Research. Other UTSW researchers who contributed to this study include Jing Zhang andJosep Rizo, Ph.D., who holds the Virginia Lazenby OHara Chair in Biochemistry.

Collaborating institutions include: Harvard University, Wayne State University, Cornell University, MRC Laboratory of Molecular Biology, Memorial Sloan Kettering Cancer Center, Gerstner Sloan Kettering Graduate School of Biomedical Sciences, Fred Hutchinson Cancer Research Center, Columbia University, University of Wrzburg in Germany, St Jude Childrens Research Hospital, FIRC Institute of Molecular Oncology in Milan, Italy, and the National Research Council, Institute of Molecular Genetics in Rome, Italy.

This work was supported by Southwestern Medical Foundation, the Cancer Prevention and Research Institute of Texas (CPRIT) (RP210041), Amgen, Microsoft, the Washington Research Foundation, Howard Hughes Medical Institute, National Science Foundation (DBI 1937533), National Institutes of Health (R35GM118026, R01CA221858, R35GM136258, R21AI156595), UK Medical Research Council (MRC_UP_1201/10), HHMI Gilliam Fellowship, the Deutsche Forschungsgemeinschaft (KI-562/11-1, KI-562/7-1), AIRC investigator and the European Research Council Consolidator (IG23710 and 682190), Defense Threat Reduction Agency (HDTRA1-21-1-0007), and the National Energy Research Scientific Computing Center.

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Why Bitcoin Is The Best Weapon Society Has Against Inflation And Wealth Inequality – Forbes

A new dawn?

For bitcoin enthusiasts, one of the most compelling things about the cryptocurrency is its ability to side-step fiat monetary systems that dilute the value of cash holdings through inflation.

That isnt anywhere near as complicated as it sounds. Put very simply, central banks grease the wheels of their economies by continually printing new money. A higher money supply makes it easier for companies to spend and service their debt. But theres a catch: for every new dollar you add to the spending pool, the buying power of each individual dollar falls proportionally.

Again this is simpler than it sounds: changing the money supply doesnt magically create wealth or value. If your economy is a nursery and your money supply is crayons, then doubling the number of crayons in the room doesnt make the kids any richer. They all have twice as many crayons as they had before, so they all double the number they offer when bartering for toys, books and so on. In real terms, nothing has changed because the new supply of money is being evenly shared between everyone in the nursery.

Where things get more complicated and where bitcoiners have rightly identified a need for a different, fairer system is what happens when supply and distribution arent evenly matched?

Central bankers claim this isnt a concern, because they contend that all the cash ultimately trickles down to the man on the street be it through stimulus checks or higher wages or fatter pension funds or whatever other pathway they conjure up. In practice, of course, we know that simply doesnt reflect reality.

In the real world, billionaires have, by far, been the biggest winners from covid-era money printing. Theyve taken their higher money supply (including vast sums of borrowed money, which is cheaper and easier to obtain when interest rates are low) and theyve pumped it into inflation-beating asset classes such as the stock market, real estate, collectibles and so on. The middle classes have done the same, but on a smaller scale: building their savings during covid lockdowns and then allocating a healthy chunk of those funds to assets that have appreciated in value nicely.

Now consider the poor and the working classes. What little bonus cash theyve received during the pandemic has either been spent on survival or stagnated. Unable to get on the property ladder, they can neither benefit from rising house prices nor start building equity by replacing rent (money that goes into someone elses pot) with mortgage payments (money that goes into their own). Stock markets may, technically, be within their reach, but at a profound handicap due to high transaction fees and a limited understanding of investment strategies (the kind of knowhow that rich people simply pay someone else to worry about).

This imbalance results in one thing: inequality.

If youre rich, you can take a higher money supply and use it to your advantage. If youre poor, you really cant. Youre stuck with whatever cash holdings you have in the new economy. And, as we know, the value of those holdings is actively being diluted through inflation. The more money is printed, the poorer you get.

Interest rates, of course, could save the day if central banks wanted them to. When the interest rate rises above the inflation rate, any of us can grow the value of our cash simply by dumping it in a savings account. But policymakers dont want this, because just about the only thing holding up the global economy right now is easy access to debt. As soon as the interest rate paid by borrowers increases, the shaky foundations of our covid-era economic recovery will collapse. Businesses and homeowners who binged on cheap loans will suddenly be unable to make repayments. Waves of bankruptcies and foreclosures will cripple the global economy.

Small wonder that central bankers none of whom are working class, by the way prefer the easy option of hammering poor people. This might not be perfect, they rationalize, but everything seems to be stable and everyone I know is doing rather well! That, in a nutshell, tells you why central banks are the biggest driver of wealth inequality.

So, what to do? Well, as long as central bankers and politicians are in the driving seat, theres really no way of changing the direction of this economic journey. Those in power will always promote policies that advance their own personal interests, and they will do whatever is necessary to delay a global economic crash even one that would, in the long-run, probably be good for society as it would precipitate structural reforms to the current, broken system.

If there is a solution, it would have to be an alternative monetary system thats resilient to both inflation and central bank manipulation.

No prizes for stating the obvious there: civilization has aspired to have such a system for millennia. Trouble is, its never been that easy to build a monetary network thats backed by no-one and yet protects the interests of everyone so convincingly that ordinary people will trust it with their life savings. Never, that is, until 2009, when the launch of the bitcoin monetary network gave the world its first taste of decentralized blockchain technology.

Convincing readers about the technical benefits of blockchain is a bit like convincing overweight people about the health benefits of dieting. The proof is in the pudding, as it were. And the average person on the street has no more inclination to become an expert in food science the how or why a given diet is effective than they do computer programming.

That said, you cant understand the genius behind bitcoin without having at least a basic grasp of the revolutionary nature of blockchain technology so here goes.

Trust is everything. Ive already alluded to the fact that creating a monetary system from scratch is virtually impossible because money has no value unless enough people believe it has value. The easiest way to foster that belief is to get a government to pledge to uphold or back its value (think of that promise to pay the bearer on demand you see on banknotes). Another, more tenuous way is to come up with a universally appealing asset that has a fixed supply. Gold ticks this box nicely: its aesthetically attractive; it cant be forged because of its unique density; and it cant be manufactured by anyone, so therell only ever be as much gold on the planet as the planet already holds (shiny asteroids notwithstanding).

Then again, gold is a pain in the ass. Its heavy, so its a burden to carry and transfer. Its not easily divisible, so its hard to pay precise amounts with it. Not many people do their weekly shop with gold. But what if you could create a digital version of gold that weighs nothing, moves at the speed of light, and is divisible to the tiniest fraction of value. Sounds great. Also impossible. Until 2009.

If you only understand one thing about what blockchain technology does, let it be this: for the first time in history, blockchains give us genuinely immutable data.

That means the information contained within them cannot be changed. Ever. How they achieve this takes time to understand: its to do with the decentralized nature of the ledger, which lists all the transactions ever made on the blockchain and is secured by 1) the number of copies in existence (full nodes, all of which are cross-checked against each other); 2) the process through which new data is written (cryptographic encryption); and 3) the energy consumption of the network (the hashrate, which makes it impossible to overpower or change the course of the encryption process). I might have lost you there. But the end result isnt difficult to grasp. Once you have immutable data, you have the ability to create autonomous digital money.

By ensuring that bitcoins transaction history can never be altered, mankind has created a digital asset that satisfies five of the criteria for money: its durable, portable, scarce, divisible and fungible (interchangeable). The final criteria acceptability, or the willingness of people to conceive of bitcoin as real money will be determined not by its technical traits but by humanitys attitude towards it. In an increasingly digital age, the outlook is favorable.

Bitcoins detractors and there are many; typically old, middle class people whove become very rich from the status quo cite a different definition of money: that it must be embraced by society as a medium of exchange; a unit of account; and a store of value.

Bitcoin fails on all fronts, they say, as too few people use it on a daily basis, and the price is too volatile to measure or store value. Maybe so, today. But its also attained a market cap of $1 trillion in just 12 years. Is that not rather swift progress?

And what of the dollar and the other fiat currencies? Are they convenient mediums of exchange across international borders? Do they give us stable, predictable prices year after year? Most important of all, are they are a store of value in an era of high inflation? If youve ever complained about the rising cost of living, you already know the answer.

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Seeing red? FUD that! Here’s what you should have bought instead of Bitcoin last week – Cointelegraph

Weve argued many times in the past that the correlation between Bitcoins price and the market capitalization of hundreds of altcoins makes very little sense.

Whether you buy into the idea that Bitcoin is digital gold, or a payment mechanism, or both, it doesnt have a whole lot in common with Ethereum, Shiba Inu, or FTXs native exchange token.

Well, whether we like it or not, big moves in the price of Bitcoin define crypto markets.

Before Bitcoin slid from the latest all-time high above $68,000 back to the region of $55,000 last week, dragging most altcoins down with it, the crypto market had seen six straight weeks of virtually uninterrupted growth.

But as soon as the market turns red, as it did last week, many traders tend to succumb to three old enemies: Fear, uncertainty, and doubt (FUD).

Which is why we say: FUD that. Experienced crypto traders know that periods of correction can also present profit opportunities. And Cointelegraph Markets Pros own VORTECS Score found six of the ten best-performing altcoins last week, even as the market took a dive.

The VORTECS Score is a machine learning-powered trading algorithm that compares historic and current market conditions in digital asset markets to aid crypto traders decision-making.

The model takes in a host of quantitative indicators including price movement, social sentiment, and trading activity to arrive at a score that assesses whether the present conditions are historically bullish, neutral, or bearish for over 200 cryptocurrencies.

A VORTECS Score of 80 or above is considered confidently bullish for the next 12-72 hours. Assets that achieve such scores exhibit arrangements of key trading and social variables that in the past came before significant price increases.

The table below shows ten altcoins that delivered significant return on investment between Nov. 11 and 18 the week that saw Bitcoin plunge from $68,000 to $58,000.

In bold are those tokens that hit a VORTECS Score of 80 or higher before reaching their peak price of the week.

Six out of ten of the weeks top performing assets exhibited patterns of trading and social behavior that closely resembled historically bullish combinations before they rallied.

Six out of ten is significant, given that the overall number of tokens that yielded any gains has been very modest.

What does it say about the nature of the crypto market? When things are bullish, altcoins can rally for an infinite number of reasons, oftentimes simply due to a favorable macro context and exuberance taking over the market.

But when much of the market is going south, analysis suggests that tokens supported by robust trading activity and high social sentiment are most likely to buck the trend.

These are also the times when traders need reliable data analytics to inform their strategies the most. When the floor is lava, it helps to have an extra pair of algorithmic eyes sifting through millions of data points to identify potential safe havens.

This is exactly what the VORTECS Score is trained to do.

Cointelegraph is a publisher of financial information, not an investment adviser. We do not provide personalized or individualized investment advice. Cryptocurrencies are volatile investments and carry significant risk including the risk of permanent and total loss. Past performance is not indicative of future results. Figures and charts are correct at the time of writing or as otherwise specified. Live-tested strategies are not recommendations. Consult your financial advisor before making financial decisions.

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Bitcoin was looking good as an inflation hedge then it plunged nearly 20% – Markets Insider

Bitcoin has risen dramatically in 2021 but is highly volatile.

REUTERS/Dado Ruvic

When the shocking October inflation numbers first flashed through to traders' screens, showing US prices were rising at the fastest rate in 31 years, bitcoin shot higher.

To many crypto fans, the token's gains confirmed what they'd long argued: Bitcoin is the new inflation hedge on the block, and it's "digital gold" for the 21st century that will soon be a key diversifier in portfolios around the world.

But that logic sustained some heavy fire in the last few days when bitcoin's price plunged 18%, from a record high of above $68,600 on November 10 to below $56,000 on Friday.

The inflation-hedge narrative "should come with some very big caveats," said James Malcolm, a top currency strategist at investment bank UBS. "It's not a robust way of thinking about things."

Digital gold

Although bitcoin was originally intended to be a digital version of cash, these days crypto investors are more likely to tell you that it's digital gold.

Like the precious metal, there's a limited supply of bitcoin. Only 21 million coins are supposed to ever be minted, with 18.9 million already in existence. That scarcity should help the cryptocurrency hold its value over the long run, or so the argument goes, even as other assets wobble in the face of inflation or other scary problems.

The view has picked up steam in the past few months. When bitcoin climbed in October, JPMorgan analyst Nikolaos Panigirtzoglou said in a note "the perception" that the token is an inflation hedge was a key factor. Then its price spiked when the inflation numbers came through, delighting the bitcoin-is-digital-gold crowd.

Many drivers

But then bitcoin reminded everyone why most major investors are steering well clear of it - it plunged.

Malcolm, the UBS strategist, said the sharp fall is a reminder there are a lot of other things driving the token. "Inflation is one of many demand-side factors," he said. "It's just a popular one at the moment."

Watch now: 4 crypto experts break down the future of digital assets and how clearer regulation will lead to mass adoption

A key problem for major institutions is that there are a large number of risks surrounding bitcoin, which an asset like gold doesn't face.

Malcolm points to regulation, arguing that it could slow down adoption sharply, which could in turn whack the price. "That should make it a very poor inflation hedge. In the sense that inflation may continue to go up, and crypto can fall a lot more, for all sorts of other reasons," he said.

Bitcoin is 'too raw'

Proponents of the digital-gold argument point out that bitcoin has risen sharply over the last year, when inflation has also climbed dramatically.

Yet skeptics argue that investors can't rely on that trend continuing. If past episodes are anything to go by, bitcoin could fall into another 2018-like "winter" at any time. Back then, its price tumbled from around $20,000 at the end of 2017 to below $4,000 a year later.

Catherine Doyle, a strategist at BNY Mellon Investment Management, said she sees bitcoin as more of "risky" asset like stocks. "It wouldn't be part of that stabilizing base [in a portfolio]," she said. "It just feels too speculative and too raw."

However, it must be said that bitcoin was only created in 2009. Even some of its biggest skeptics admit it could yet become an inflationary hedge, particularly if investors start to really believe it is. JPMorgan's Panigirtzoglou has said there's "little doubt" that bitcoin's competition with gold will continue among investors.

But in the eyes of many big players, it's nowhere near there yet. Rather, it's an asset that's been soaring for a whole host of reasons - and that could easily crash again.

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Bitcoin was looking good as an inflation hedge then it plunged nearly 20% - Markets Insider

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IRS Expects to Seize Billions of Dollars in Cryptocurrency Next Year More Than $3.5 Billion in Crypto Seized This Year Regulation Bitcoin News -…

The Internal Revenue Service (IRS) has revealed that $3.5 billion in crypto was seized during the fiscal year 2021. This represents 93% of all funds seized by its criminal investigation unit during the same time period. The agency expects to seize billions of dollars more in cryptocurrency next year.

The Internal Revenue Services Criminal Investigation (CI) unit, the tas authoritys law enforcement branch, released the 2021 Criminal Investigation Annual Report Thursday. IRS Commissioner Chuck Rettig explained that CI agents are the only federal law enforcement officers with the authority to investigate criminal violations of the U.S. tax code.

The report details statistics, partnerships, and significant criminal enforcement actions from IRS-CI for the past fiscal year, which began Oct. 1, 2020, and ended Sept. 30, 2021. Among several major crypto cases highlighted in the report is the longest-running bitcoin money-laundering service on the darknet dubbed Bitcoin Fog.

The 49-page Criminal Investigation Annual Report states that $3.5 billion in cryptocurrency was seized during the fiscal year 2021. This represents 93% of all CI seizures during the period.

The agency has indicated that it expects to seize billions of dollars more in cryptocurrency in the next fiscal year. IRS Criminal Investigation Chief Jim Lee said on a call with reporters Thursday:

I expect a trend of crypto seizures to continue as we move forward into fiscal year 22 Were seeing crypto involved in a number of our crimes as we move forward.

Jarod Koopman, the acting executive director of the IRS Cyber and Forensic Services division, commented that large cryptocurrency seizures have become the new normal for IRS criminal investigations.

He was quoted as saying: Its a huge, huge number Certainly were seeing a shift in our investigative work. Koopman believes that the IRS Criminal Investigation unit could seize even more in cryptocurrency in the coming fiscal year, stating:

We do expect that to stay somewhat in that range, based off of some investigations were currently working on that are pretty large in size and scope We might be topping that figure next year.

The full report can be found here.

What do you think about the IRS expecting to seize billions of dollars in crypto next year? Let us know in the comments section below.

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Bitcoin Helps Poverty Rather Than Hides It – Bitcoin Magazine

It is often enough said, and not without a grain of truth, that the poorest man is in the end the happiest, although no one can envy him for that happiness. Throughout the ages, or perhaps from the very moment when Zeus blinded Pluto so that he would not always favor the good, people have tried to convince the poor that they were happy even though they had no money. In a thousand different ways they have been told that in the needy classes there are the cheerful and contented faces, while in the rich ones there are the morose, bitter, and dissatisfied ones; that only for the poor can life be a gift, even though it may sometimes seem to have all the characteristics of a debt contracted.

Some of us, however, are so revolted by few things as to hear philosophers and parish priests preaching humility and love of poverty to people who have nothing to drop dead on, for it is impossible for us to admit the idea that only a tenth part of men should have access to riches, while the other nine are relegated to serve as the material and means of getting them. There are those of us who believe, indeed, that nothing is so ugly as having no money, and that when one is in the power of misery one's hands are tied, and even one's tongue is chained. The humble man is convinced that poverty is the greatest good: this falsehood contains poison, gnaws at his soul, confuses him, fills him with torments; it pushes him against the rocks, chokes him and deprives him of many valuable things. Poverty is a painful, unbearable evil, which has nothing pleasant about it, which torments the one who suffers it together with its sister impotence, and which is not good for anything, even though it has often been said that it is the gateway to the blessed life. The hungry, let it be certain, are better pleased by filling their stomachs with food than by filling their heads with consolations, for it is not reasons, but food that they need to feel moderately satisfied. Do you not realize, you counterfeiters of good, that after not being thirsty it is best to drink, after not being hungry to have something to eat, and after not being cold to have something to wear? Poverty, a painful human illness, is not eliminated with hopes, nor is inequality, and even less so the lack of freedom; it is eliminated with wealth, with property, with the idea that, although its reality is not easy to refute, neither does one have to live with the resignation of thinking that one must accept it.

" My flock, now resting there, how happy thou,That knowest not, I think, thy misery!" -Leopardi, Night Song Of A Wandering Shepherd In Asia, 105.

But let us forgive the simplicity to which the idealization of poverty drags us. Everyone has the right to idealize whatever he wants: this is the first law of nature. Each poor shepherd, after all, counts his flock as he pleases, and values things according to his own interests, which he necessarily loves, even if the rich shepherds do not understand this in the same way. Just as every man has his own voice, and every man has his own face, so every man must have ideas which distinguish him from others. Otherwise, we who think that it is worth in any society, or in any state, to become the owner of some limited property, even if it be the fossil of a lizard, would have nothing to say. Poverty, for us, may be a very beautiful idea, but of no real use, while wealth may be as insecure as you like, but at least it has the advantage of being part of a force. And Bitcoin, as we have already said, we consider it a force; a force that alleviates poverty without encouraging indolence, that understands the concept of wealth more as an opportunity for action than as a pretext for laziness, and that wishes to test men in prosperity so that they do not have to appeal to it in need. We think of it, rather, as just the opposite of our absurd ultra-centralized economic world, which thinks it has enough with collective work in the service of the state, with the mechanical training of the hands, and which has not the slightest idea that wealth is reached by a completely opposite way: by including all peoples within the rules of a single currency, within single laws and a single financial decentralization, so that hopefully the whole earth may at last enjoy true economic justice. There is nothing more pitiful than to see our fellow men suffering evils that could easily be avoided, enduring continual economic losses, overburdened with debts, spending their days in search of means to earn a living, and inevitably dividing themselves into two great classes: between those who are hungrier than they have supper and those who have more supper than they are hungry. It is terrible to see how unjust poverty is, but the consolation lies in the fact that we are the creators of that poverty, and that we therefore suffer from our own miseries. Humanity has always repeated the same fault: that of seeking its only criterion of life in a lousy form of economy, invented and managed by institutions that could not be worse for the welfare and progress of men, for it is they who make them leave their homes to plunder and murder elsewhere, who turn their noble thoughts into shameful actions, who force them to turn their fellow men into victims of all kinds of outrages and wickedness.

"Necessary it is that you rise or fall, / That power and profit you acquire / Or that without profit you serve / That you succumb or triumph / That anvil or hammer you are." Goethe, Coptic Song.

There are those who celebrate men without wants, though it seems to me that no one who walks upon this world is without wants. Perhaps there are countries where nothing is lacking, but, to this day, no one has given me any news that such countries are to be found anywhere. It is true that I have not traveled much, but in this corner of the earth, at least, I have not seen a single person who has no more needs than means of satisfying them. I do not know of a single place where, because of how well things are going in society, no man is obliged to feed on bread that he must beg, nor where a little more comfort can be found than the eye can comprehend. Everywhere, it is true, there are many people sheltered by wealth, but there are always more who all their existence has been despised by it those who have missed it without ever having come to know it. Neither the Asians, who are the old men of the world, nor still less the Europeans, who are its mature men, live today under an economic system that can be called just, where each man can consider even one good as his own, and where the increase of what he carries in his pockets is not directly proportional to what is lacking in those of his neighbors. Whatever may be said, and even if he is the most humane person in the world, every man wants to have something that is not counted among the possessions of the common people. Those who desire financial equity are not easy to find, nor do they constitute a great multitude, for otherwise not only would wealth cease to be measured by pocket, by power, and by force, but the gullible and disorganized mass would have some chance to share in the profits, without having to go forever in debt to pay for them.

Since only Bitcoin does not share the injustice of the economists and is not affected by the debts of the poor, it is the only one who should take care of solving the ridiculous inequality that reigns today among men. Would that you, blind inequality, were no longer seen either on land or sea, but dwelt in Tartarus and Acheron, for you share in all the misfortunes of the poor. But, since we have no idea where the old Acheron went to, the only thing we hope for Bitcoin is that it will improve the prevailing inequality in our world, if possible, by a lot, if not, as much as possible, if not, at least a little. Just as violence and the ability to cheat made the first rich, it will help knowledge to make those of the following centuries, so that living according to mathematics no one will be poor, and living according to the misfortune of others, no one will be rich. May it be useless to look for masters or servants in the world, since those who command and those who receive wages from them are equal; that the opportunity to enrich one's neighbor may be found a hundred times a day, and the opportunity to ruin him once in a hundred years; so that whoever puts a little on top of a little, and does this frequently, soon the little will become a lot.And if so, at last it will be understood that what dignifies equity is the sacrifices it costs, and that having money is a small thing compared to doing the impossible so that others may also have it.

This is a guest post by Anderson Benprado. Opinions expressed are entirely their own and do not necessarily reflect those of BTC, Inc. or Bitcoin Magazine.

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