Artificial Intelligence for Rapid Exclusion of COVID-19 Infection – SciTechDaily

rtificial intelligence (AI) may offer a way to accurately determine that a person is not infected with COVID-19. An international retrospective study finds that infection with SARS-CoV-2, the virus that causes COVID-19, creates subtle electrical changes in the heart. An AI-enhanced EKG can detect these changes and potentially be used as a rapid, reliable COVID-19 screening test to rule out COVID-19 infection.

The AI-enhanced EKG was able to detect COVID-19 infection in the test with a positive predictive value people infected of 37% and a negative predictive value people not infected of 91%. When additional normal control subjects were added to reflect a 5% prevalence of COVID-19 similar to a real-world population the negative predictive value jumped to 99.2%. The findings are published in Mayo Clinic Proceedings.

COVID-19 has a 10- to 14-day incubation period, which is long compared to other common viruses. Many people do not show symptoms of infection, and they could unknowingly put others at risk. Also, the turnaround time and clinical resources needed for current testing methods are substantial, and access can be a problem.

If validated prospectively using smartphone electrodes, this will make it even simpler to diagnose COVID infection, highlighting what might be done with international collaborations, says Paul Friedman, M.D., chair of Mayo Clinics Department of Cardiovascular Medicine in Rochester. Dr. Friedman is senior author of the study.

The realization of a global health crisis brought together stakeholders around the world to develop a tool that could address the need to rapidly, noninvasively and cost-effectively rule out the presence of acute COVID-19 infection. The study, which included data from racially diverse populations, was conducted through a global volunteer consortium spanning four continents and 14 countries.

The lessons from this global working group showed what is feasible, and the need pushed members in industry and academia to partner in solving the complex questions of how to gather and transfer data from multiple centers with their own EKG systems, electronic health records and variable access to their own data, says Suraj Kapa, M.D., a cardiac electrophysiologist at Mayo Clinic. The relationships and data processing frameworks refined through this collaboration can support the development and validation of new algorithms in the future.

The researchers selected patients with EKG data from around the time their COVID-19 diagnosis was confirmed by a genetic test for the SARS-Co-V-2 virus. These data were control-matched with similar EKG data from patients who were not infected with COVID-19.

Researchers used more than 26,000 of the EKGs to train the AI and nearly 4,000 others to validate its readings. Finally, the AI was tested on 7,870 EKGs not previously used. In each of these sets, the prevalence of COVID-19 was around 33%.

To accurately reflect a real-world population, more than 50,000 additional normal EKGs were then added to reach a 5% prevalence rate of COVID-19. This raised the negative predictive value of the AI from 91% to 99.2%.

Zachi Attia, Ph.D., a Mayo Clinic engineer in the Department of Cardiovascular Medicine, explains that prevalence is a variable in the calculation of positive and negative predictive values. Specifically, as the prevalence decreases, the negative predictive value increases. Dr. Attia is co-first author of the study with Dr. Kapa.

Accuracy is one of the biggest hurdles in determining the value of any test for COVID-19, says Dr. Attia. Not only do we need to know the sensitivity and specificity of the test, but also the prevalence of the disease. Adding the extra control EKG data was critical to demonstrating how a variable prevalence of the disease as we have encountered with regions having widely different rates of disease at different stages of the pandemic would impact how the test would perform.

This study demonstrates the presence of a biological signal in the EKG consistent with COVID-19 infection, but it included many ill patients. While it is a hopeful signal, we must prospectively test this in asymptomatic people using smartphone-based electrodes to confirm that it can be practically used in the fight against the pandemic, notes Dr. Friedman. Studies are underway now to address that question.

Reference: 15 June 2021, Mayo Clinic Proceedings.

This study was designed and conceived by Mayo Clinic investigators, and the work was made possible in part by a philanthropic gift from the Lerer Family Charitable Foundation Inc., and by the voluntary support from participating physicians and hospitals around the world who contributed in an effort to combat the COVID-19 pandemic. Technical support was donated by GE Healthcare, Philips and Epiphany Healthcare for the transfer of EKG data.

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Artificial Intelligence for Rapid Exclusion of COVID-19 Infection - SciTechDaily

5 Uses of Artificial Intelligence to Improve Customer Experience Measurement – Small Business Trends

Customer experience plays an important role in the growth of your brand. Thats why its essential to not only offer a great experience but also understand if you truly are able to cater to your customers well. Thats where you can use artificial intelligence to improve your customer experience measurement.

But why is customer experience so important?

Nearly 84% of consumers say they go out of their way to spend more money on great experiences. So, its safe to say that a better customer experience translates into higher sales and revenue.

Image via Gladly

But to improve your customer experience, you must know where you stand in the first place. For this, its important to do customer experience measurement. Artificial intelligence (AI) plays a major role in automating and speeding up various marketing activities and it can help improve this process as well.

So, lets take a look at how you can use artificial intelligence to improve your customer experience measurement.

Here are the different ways through which you can use artificial intelligence to improve your customer experience measurement.

To truly get an idea of where you stand in terms of your customer experience, its essential to collect and analyze customer feedback. The idea here is to hear all about your customer experience from the customers themselves.

Its the best mode of understanding where youre excelling and or lagging in certain aspects of customer experience. Accordingly, you can understand what changes need to be implemented to improve the experience. This, in turn, can help boost the sales of your ecommerce or brick-and-mortar business.

So, how can artificial intelligence help with this?

Collecting customer feedback may be simple. However, analyzing the feedback can take a lot of time and effort, especially if youve got a lot of customers. Youd have to manually go through individual feedback and then analyze that unstructured data.

However, AI can speed up this process of measurement. Using text analytics platforms, you can seamlessly analyze large amounts of feedback data from your customers. This quick analysis will help you derive valuable insights that you can leverage to improve your customer experience strategy.

Another way in which artificial intelligence can help you collect, analyze, and improve your customer experience measurement is through the use of chatbots and live chat.

Using AI-powered chatbots, you can converse with your customers in real-time. Using the power of machine learning and natural language processing, these chatbots can understand the questions posed by your customers and answer them.

Whats more?

Apart from chatbots, you should also use live chat platforms to offer customer service in case the chatbots arent able to answer the questions posed by the customers.

But how does customer experience measurement come into the picture here?

When your customers chat with your chatbot or customer support representatives, they can ask them to rate the interactions. The feedback data collected can be analyzed by artificial intelligence-based tools to help you understand how well you were able to service their questions.

To understand your customer experience, its important to get an idea of their emotions as well. You need to understand and predict them to find out if theyre satisfied with your brands services or not.

Until recently, there was no easy way of going about this. You had to rely on the customers telling you about their emotions, and such instances, unfortunately, arent many.

However, with the advent of artificial intelligence, its possible to detect the emotions of your customers from multiple channels.

For instance, artificial intelligence tools can seamlessly detect the customers emotions based on the messages theyve sent or the conversations theyve had with your customer support team.

Emotion AI tools can pick up emotional signals by observing the tone and pitch of the customers voice. They can also analyze the text written by your customers to understand if theyre happy, sad, stressed out, angry, etc.

Whats more?

Even if youve got videos of the customers, these tools can identify their emotions using their body language, changes in facial expressions, etc.

All of this analysis can help you identify how well youre performing when it comes to customer experience.

For instance, Grammarly, the popular writing tool, can recognize the emotions in the text thats written. This helps you better understand the customer experience and you can accordingly take steps to improve it.

Image via Grammarly

Most call center records are converted into transcripts for reviewing at a later stage. However, the one thing that transcripts cant help you identify is the emotions of the customer at each point in the conversation.

You wouldnt know if the customer raised their voice, had an angry tone, felt sad, or was elated by your service. Transcripts wont be able to tell these things to you and when it comes to customer experience, these are all important cues that you must not miss.

All of these cues would only be available if youve recorded the customers call in its audio format. By getting access to this speech, you would be better able to understand if your customer experience was positive or negative.

Artificial intelligence can help improve your customer experience measurement in this case too. Using AI-powered speech analysis tools, you can understand the tone of each customer. Also, these tools can help you find out the:

This measurement process would be quick too as artificial intelligence would be able to go through a large number of calls with ease as compared to listening to them manually. All this information would be extremely useful for helping you understand the customers current situation. Based on that, you would be able to determine the future course of action as well.

One of the toughest tasks that you might face as a customer experience professional is that of finding out the customer experience throughout the sales funnel.

But why is this task difficult?

The customers may go through numerous stages during the sales funnel and they may connect with you at various touchpoints too. As a result, all the customer data would be in different silos. These silos can act as deterrents to determining the customer experience as you wouldnt have a unified database for each customer.

Analytics and insights derived from such segregated data might not be very accurate and wont paint the whole picture for your customer experience.

However, customer journey analytics tools based on artificial intelligence can help you change this. They can unify your customer data from the entire customer journey and analyze it. This singular customer journey view will help you get an accurate measurement of the customer experience.

Customer experience plays a pivotal role in the success of your brand as it influences customer retention. Thats why its essential to measure your customer experience regularly and improve it.

Artificial intelligence can help with this by analyzing customer feedback and deriving insights from it. Also, you can use chatbots and live chat to collect and analyze customer feedback.

Whats more?

Tools powered by AI can also recognize customer emotions in text, voice, and videos. This can help you understand their experience and improve it. Finally, these tools can also help unify all your customer data from across their journey and analyze it. As a result, youll be able to get an accurate measurement of your customer experience.

Do you have any questions about the various methods of using artificial intelligence to improve customer experience measurement mentioned above? Ask them in the comments.

Image: Depositphotos

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Researchers ask industry for military technologies in artificial intelligence (AI) and unmanned aircraft – Intelligent Aerospace

ARLINGTON, Va. - U.S. military researchers are asking the defense industry to develop revolutionary enabling technologies for land, sea, air, and space applications that would put U.S. forces far ahead of any potential adversaries, John Keller reports for MIlitary & Aerospace Electronics.Continue reading original article.

The Intelligent Aerospace take:

June 16, 2021 -Potential U.S. adversaries such as Russia and China have developed ways to counter today's U.S. military systems that are built around exquisite, monolithic integrated systems. Instead, DARPA researchers want to develop revolutionary system architectures that are separate, dispersed, disruptive, and that instill doubt in U.S. adversaries.

DARPA experts want to identify promising technologies and move them quickly to the next phase of research and development. Technologies should improve resilience, responsiveness, range, lethality, access, endurance, and affordability to enable new joint force warfighting concepts.

For aircraft, researchers point out that stealth and low-observability technologies simply do not offer the advantages they used to. Adversaries have come up with generations of countermeasures since stealth was invented, and today the ability to make platforms survivable is approaching physical limits, which makes continuing the traditional path of stealth technologies impractical.

Related: Commercial aviation at forefront of innovation in artificial intelligence, digital twins, mobile applications, and unmanned aircraft

Related: Loyal Wingman combat drone powers up engine for the first time

Related: Northrop Grumman invests in artificial intelligence (AI) to promote onboard processing of satellite data

Jamie Whitney, Associate EditorIntelligent Aerospace

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The role of artificial intelligence in the fight against Covid-19 – SmartCitiesWorld

In early January of 2020, the US Centers for Disease Control and Prevention issued its first warnings about the potential spread of a flu-like pandemic. Days later, the World Health Organization notified the public of the dangers of the novel coronavirus Covid-19, and warned about the possibility of a dangerous outbreak.

Despite the far-reaching resources of both the CDC and the WHO, a Canadian health start-up called BlueDot had already broken news of the threat to its users. It was able to do this using artificial intelligence and machine learning to spot patterns and track the spread of the virus.

BlueDots tracking system was the first of many AI-influenced technologies that are now being employed to fight the first global public health crisis of the decade. But aside from tracking, tracing, and predicting the spread of the virus, how are todays modern smart cities leveraging AI to fight against Covid-19?

Thanks to the abundance of modern smart devices located across cities, from IoT connected sensors to wearable tech and communication devices, cities now collect more data than ever. Small data can be processed by humans, but big data requires machines to make use of it. And thats where AI comes into play.

AI has been deployed across cities to help ease the damage caused by the Covid-19 pandemic. Diagnosing Covid-19 patients has been crucial in the first against the virus, and AI has played a leading role. Early on, it was assisting the detection of the virus using a deep learning tool that could identify the difference between Covid-19 and pneumonia using 2D and 3D modelling of CT scans.

By building on these models, doctors were able to learn more about the virus and track how it affects individual patients, and give researchers a better idea of the type of transmission and the scale of the spread of the virus. Early detection and diagnosis have been essential to preventing cities and other densely populated areas from being overwhelmed by the virus.

With early diagnosis and the ability to identify symptoms, cities have been able to harness the power of interconnected IoT networks, in partnership with other smart devices, from smart phones to smart bins, to help track, trace, and predict the potential spread of infection too.

Diagnosis is one thing, but actually alleviating the burden being placed on overcrowded hospitals has been an even bigger concern. Fortunately, AI has been able to step in and reduce that burden thanks to the introduction of AI triage systems that can automate medical processes and use the data supplied by patients to minimize the time that health professionals need to spend with individual patients. These triage systems have been able to classify patients depending on the severity and nature of their symptoms, allowing doctors and nurses to handle patients more effectively.

Telemedicine is another way that AI is being harnessed to reduce the burden on urban hospitals and provide better care to citizens in remoter regions. These intelligent platforms can be used reduce the need for unnecessary hospital trips, either by using consultation calls with real doctors, or via machine-learning enabled chatbots such as the CDCs Clara service.

Similarly, AI has also been used to optimize the use of ventilator settings to ensure that patients are being administered oxygen correctly. Prolonged ventilator use can cause lung damage to patients but any ventilator that is being used longer than necessary deprives another patient of its use, particularly in small hospitals with limited resources.

The use of AI has evolved beyond the realm of data analysis and optimization. In some hospitals, AI-enabled healthcare robots have been used to perform a number of tasks, such as cleaning and disinfecting rooms, monitoring patients, and carrying out other routine tasks. According to some experts, AI-enabled robots will become more prevalent in crisis management in the future, too.

The rapid development of successful Covid-19 treatments and vaccines can also be attributed to the use of artificial intelligence. Vaccines often take years to develop, however, thanks to new ways of analysing data, Covid-19 vaccines were developed relatively quickly. The most significant tool used in the development of these vaccines was the Vaxign reverse vaccinology machine learning platform. By examining vast amounts of data about existing medications and vaccines, AI deep learning processes were able to identify potentially effective drug molecules and combinations, greatly expediting the vaccine production process.

As with many urban and smart city processes, the data required to enact many solutions already exists. However, it requires machine learning and artificial intelligence to adequately process it. By deep diving into vast data repositories filled with information about existing, approved, and validated drugs, the time required to develop new vaccines by a significant margin.

Trawling through data to find existing solutions to potential problems is what AI excels at. However, the recent pandemic has also forced governments to respond to an entirely new threat: the infodemic that has grown and spread with Covid-19. With populations more connected than ever before, and the delivery of information being freely available, tools that governments have relied on to raise awareness of societal issues have been used to spread harmful misinformation too.

To help counter this, governments and social media platforms have harnessed the power of AI and machine learning to curtail the spread of rumours and false information. Machine learning programmes have successfully been able to identify information from dubious origins and promote accurate and correct information instead.

On top of that, AI software can accurately identify and predict the threat level and danger of the virus by considering historical data and incorporating a wide range of factors. This accurate information has helped reduce panic and fear within cities, allowing governments and service workers to concentrate their efforts on tackling the virus rather than calming the population during this highly dynamic and changeable situation.

The global pandemic has sparked a greater appreciation for artificial intelligence technologies within cities. While its easy to feel mistrustful of AI-governed decision-making processes, the pandemic has highlighted their value and the need for modern cities to embrace data to find practical and efficient solutions to present-day and future challenges.

The current situation wont usher in a blanket adoption of AI-enabled technologies, but it certainly helped to accelerate the trend towards embracing them.

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The role of artificial intelligence in the fight against Covid-19 - SmartCitiesWorld

5 Types of Artificial Intelligence that will Shape 2021 and Beyond – Analytics Insight

To dwell more into the future of technology, we have divided artificial intelligence into five types

Every day, researchers are marking new milestones in the technology sphere.Artificial intelligenceis reaching unprecedented heights, taking humankind along with it.Artificial intelligencedefines the ability of machines or models to think and learn from experience. Starting from smart home applications and delivery systems to giantrobotsin factories and robotic surgeon, everything in the digital era is powered byartificial intelligenceand its sub-technologies.

After the technologygot congested with many achievements, researchers divided it into differenttypes of artificial intelligencefor their ease. While some types represent the currentAI-powered modelswe live with, others talk about the future we are headed to. The common and recurring view of the latest breakthrough inartificial intelligenceresearch is that sentiment and intelligent machines orrobotsare just on the horizon. These disruptivetypes of artificial intelligenceare opening the door for two main theories. One is based on the fear of a dystopian future whererobotsbecome arrogant and create an apocalypse and the other one is an optimistic future where humans and machines work together. To dwell more into the future of technology, Analytics Insight has listed fivetypes of artificial intelligence.

Along with the evolution of trends and concepts, human preferences have also changed. Nobody likes a trend from a century ago. However, businesses today are working to attract consumers by providing customized or personalized solutions. In the modern world, businesses finally realized that not everyone has the same taste and peoples likes and dislikes differ. Therefore, they have sought help from technology to create recommendation engines through which companies can engage better with their customers. The recommendations are made following their browsing history, preference, and interests. In the future, all businesses starting from small to big will seek artificial intelligences help to unravel the much-needed customized products.

Similar to customized services, artificial intelligence is making a breakthrough in suggestions, especially to those on social media pages. For example, if you have searched on Google to buy a sofa, then your social media apps like Instagram, Facebook, etc are likely to show a lot of furniture selling sites with sophisticated sofas. The same thing happens with your social media feed. On Instagram, artificial intelligence takes account of your likes and views and determines what posts might steal your eyes. It only shows posts that are similar to your area of interest. Facebook is partnering its feature with a tool called Deep Text, which helps in translating posts from different languages automatically. Twitter is also using a futuristic artificial intelligence algorithm to detect frauds, remove propaganda, and hateful comments on the microblogging platform.

So far, artificial intelligence-powered machines were having a hard time conversing with humans. Most of the robots or AI models were capable of doing either reading or writing or abstracting the content by using speech recognition. However, GPT-3 (Generative Pre-trained Transformer-3) changed the tailwind of human-machine interaction. Developed by OpenAI, the language processing tool trains an AI model to converse with humans, and read and write texts. The mechanism has extended its capabilities from just conversing with humans to doing other things like reading and writing. The company has trained GPT-3 with millions of data, making it capable of understanding everything that humans can when it comes to text and speech analysis.

It all started when humans wanted to create something similar to them. Yes, the whole concept of robots and artificial intelligence was born out of peoples curiosity to make a mechanism that thinks and functions like humans. Unfortunately, we are still at the first step when it comes to achieving that sophistication. Owing to the technological developments, researchers are putting immense efforts to unravel reciprocating machines that can respond to various types of simulations. Even though this oldest form of artificial intelligence system doesnt function through a memory base, it uses its reproductive ability to think like humans. Generally, machines are fed with data. When they are assigned a task, they go through the dataset and find similar tasks and carry out the same. However, instead of using previous experience or dataset, these reciprocating machines respond to the circumstance immediately. Unlike many AI models, this type of artificial intelligence system doesnt learn things and implement them, instead reacts to the situation. Besides, the reciprocating machines cant store their learning experience and use it for future endeavours. Every time, they have to come up with a solution themselves.

The recent developments in artificial intelligence are pointing to a future where machines can have a sixth sense like humans. Humans are the only living beings who fall under this category and experience emotions and get to think. The future of technology will unravel machines, especially, artificial intelligence-powered machines that can show emotions, have beliefs, sort what is right and wrong, think, know the situation, etc. In order to make this a reality, researchers are on their way to implement a multi-dimensional AI development concept called Theory of Mind. By attaching Theory of Mind to machines, they get the ability to understand entities they deal with. It will also unravel a whole new world of human-machine understanding that no one has ever seen.

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Why this crypto CEO uses a simple and traditional investment strategy to build his bitcoin holdings – CNBC

Bitcoin has had a whirlwind few months, surpassing the $60,000 mark for the first time ever in March before promptly tumbling down near $30,000 in less than three months.

The volatility, stemming from a wide range of factors including Elon Musk's tweets and a FBI raid on Russian hackers, has pummeled the value of the digital token, which was drawing in waves of newcomers with its lightning-fast growth.

But despite the volatility of the coin, some investors have continued to steadily build their holdings. That includes Adam Traidman, CEO and co-founder of BRD, a popular crypto wallet with more than 7 million users. Traidman is a veteran of bitcoin's massive price swings, which is why he doesn't try to time the market.

Rather, Traidman uses a more conventional investment strategy: dollar-cost averaging.

To take advantage of dollar-cost averaging, you invest a fixed amount on a regular basis instead of buying a lump sum of stock all at once. This allows investors to avoid trying to time the market and takes the emotion out of investing.

For Traidman, that means buying a little bit of bitcoin every few days, no matter the price at the time. This, he says, helps him avoid the psychological stress of buying at, say, $60,000 only to see his investment lose 20% of its value in a day.

BRD Wallet CEO Adam Traidman

BRD

"Casual investors have a tendency to buy into the hype cycle and sell when the losses become a reality," Traidman tells CNBC Make It. "It's crazy, illogical thinking, but it happens all the time. Why would people buy high and sell low? Well, they don't want to, but they sell out of fear."

Although dollar-cost averaging is typically used for more traditional investments, like stocks and index funds, it makes sense to apply it to crypto too. Throughout its more than 10-year lifespan, bitcoin has seen several massive price rallies followed by steep drops. Each drop, however, has left bitcoin's floor price higher than it was before the rally.

"Before this run up, we were looking at bitcoin prices that were at $8,000, $9,000, $10,000," Traidman says. "Now we're upset when it's three times higher than that."

Before this run up, we were looking at bitcoin prices that were at $8,000, $9,000, $10,000. Now we're upset when it's three times higher than that.

Adam Traidman

CEO, BRD Wallet

Still, Traidman is quick to note that putting your money in alternative investments like bitcoin is akin to "professional gambling" and advises people to only invest money that they are willing to lose entirely.

He looks at bitcoin as a long-term investment, rather than a way to get rich quick. "I'm not letting [the price drop] bother me, because I'm confident that the price performance charts have shown that it's going to return in the long term."

Traidman has a portion of every paycheck converted to bitcoin, regardless of the price, and doesn't worry about whether he's buying at the top or bottom on a given day.

"Dollar-cost averaging ends up making sense in the long term," he says. "If you contribute a little bit every time, in the long term you end up with a pretty darn good return if you an weather all the ups and downs."

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Why this crypto CEO uses a simple and traditional investment strategy to build his bitcoin holdings - CNBC

Bitcoin continues slide to end the week – Fox Business

CoinShares chief strategy officer Meltem Demirors and Defiance ETF CIO Sylvia Jablonski on the latest headlines surrounding Bitcoin and cryptocurrencies.

Bitcoin was trading more than 3% lower on Friday morning.

The price was around $37,934 per coin, while rivals Ethereum and Dogecoin were trading lower at around $2,356 and 30 cents per coin, respectively, according to Coindesk.

ELON MUSK QUESTIONS ASSERTIONS BITCOIN IS SUSTAINABLE

Tesla CEO Elon Musk continues the Bitcoin debate, On Thursday he tried to refute claims that Bitcoin is "greener than critics say."

As part of a string of tweets Thursday, Bitcoin Magazine cited Kraken CEO Jesse Powell saying not only that the digital currency is green but that Musk who has recently questioned the digital currency's environmental impact "has some more studying to do."

"Based on what data," Musk replied.

To bolster their point, Bitcoin Magazine released a round of back-to-back tweets citing information from its latest article using data from The Cambridge Centre For Alternative Finance.

"The Cambridge Centre For Alternative Finance estimates that 76% of all miners use renewable energies as part of their mix. CoinShares estimates that total share of renewables may even be as high as 73%," the magazine tweeted.

In recent months, Musk has drawn attention to cryptocurrency, expressing concern over its mining process the process of creating the cryptocurrency. Bitcoin mining is done by solving mathematical puzzles on powerful computers that require large amounts of energy.

NRCC BEGINS ACCEPTING CRYPTOCURRENCY CAMPAIGN DONATIONS

The National Republican Congressional Committee, the financing arm for House Republicans, will become the first national party committee to begin acceptingcryptocurrency for campaign contributions.

"The NRCC is proud to lead the charge in acceptingcryptocurrency campaign contributions," NRCC Chairman and Republican Minnesota Congressman Tom Emmer said in a statement. "We are focused on pursuing every avenue possible to further our mission of stopping Nancy Pelosis socialist agenda and retaking the House majority, and this innovative technology will help provide Republicans the resources we need to succeed."

The NRCC will accept cryptocurrency contributions using payment service Bitpay, which will convert the donations into dollars prior to landing in the organization's account.

Axios, the first to report the story,

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Bitcoin just got its first makeover in four years – CNBC

The first bitcoin upgrade in four years has just been approved by miners around the world. It is a rare moment of consensus among stakeholders, and crypto experts tell CNBC it's a pretty big deal for the world's most popular cryptocurrency.

The upgrade is called Taproot, and it's due to take effect in November. When it does, it will mean greater transaction privacy and efficiency and crucially, it will unlock the potential for smart contracts, a key feature of its blockchain technology which eliminates middlemen from even the most complex transactions.

"Taproot matters, because it opens a breadth of opportunity for entrepreneurs interested in expanding bitcoin's utility," said Alyse Killeen, founder and managing partner of bitcoin-focused venture firm Stillmark.

Unlike bitcoin's 2017 upgrade referred to as the "last civil war" because of the contentious ideological divide separating adherents Taproot has near universal support, in part because these changes are fairly incremental improvements to the code.

Bitcoin's makeover has to do with digital signatures, which you can think of as the fingerprint an individual leaves on every transaction they make.

Right now, the cryptocurrency uses something called the "Elliptic Curve Digital Signature Algorithm," which is created from the private key which controls a bitcoin wallet and ensures that bitcoin can only be spent by the rightful owner. Taproot will switch over to something known as Schnorr signatures, which essentially makes multi-signature transactions unreadable, according to Alejandro De La Torre, vice president at Hong Kong-headquartered major mining pool Poolin.

In practice, that means greater privacy, because your keys won't have as much exposure on the chain. "You can kind of hide who you are a little bit better, which is good," said Brandon Arvanaghi, previously a security engineer at crypto exchange Gemini.

It won't translate to greater anonymity for your individual bitcoin address on the public blockchain, but it will make simple transactions indistinguishable from those that are more complex and comprised of multiple signatures.

These souped-up signatures are also a game changer for smart contracts, which are self-executing agreements that live on the blockchain. Smart contracts can theoretically be used for practically any kind of transaction, from paying your rent each month, to registering your vehicle.

Taproot makes smart contracts cheaper and smaller, in terms of the space they take up on the blockchain. Killeen says that this enhanced functionality and efficiency presents "mind blowing potential."

Currently, smart contracts can be created both on bitcoin's core protocol layer and on the Lightning Network, a payments platform built on bitcoin, which enables instant transactions. Smart contracts executed on the Lightning Network typically lead to faster and less costly transactions.

"Lightning transactions can be fractions of a penny...while a bitcoin transaction at the core protocol layer can be much more expensive than that," explained Killeen.

Developers have already begun to build on Lightning, in anticipation of the upgrade, which will allow for highly specific contracts.

"The most important thing for Taproot is...smart contracts," saidFred Thiel, CEO of cryptocurrency mining specialist Marathon Digital Holdings. "It's already the primary driver of innovation on the ethereum network. Smart contracts essentially give you the opportunity to really build applications and businesses on the blockchain."

As more programmers build smart contracts on top of bitcoin's blockchain, there is also the potential for bitcoin to become more of a player in the world of DeFi, or decentralized finance, a term used to describe financial applications designed to cut out the middleman.

Today, ethereum dominates as the blockchain of choice for these apps, also referred to as "dapps."

Though the bitcoin community has agreed to the upgrade, the rollout itself won't happen until probably November. A lot of testing ahead of time will reduce the likelihood of something going wrong during an upgrade.

"Upgrades allow the extremely remote possibility of a bug entering the system, which would destroy confidence in the whole cryptocurrency system, effectively wiping it out a 'self-inflicted wound' if you like," said Jason Deane, an analyst at Quantum Economics.

Deane says this is why upgrade processes are so carefully tested, retested, and vetted, again and again, over very long periods of time, prior to being deployed.

Many also remember the disastrous migration of 2013, when an upgrade gone wrong resulted in bitcoin temporarily splitting in half.

"You don't want different clients or miners in the protocol out of sync. That's how catastrophic stuff happens," Nic Carter,founding partner at Castle Island Ventures, told CNBC. "Because we don't want a repeat of 2013, we have these extremely long lead times."

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Bitcoin just got its first makeover in four years - CNBC

China is kicking out more than half the worlds bitcoin miners and a whole lot of them could be headed to Texas – CNBC

Technicians make repairs to bitcoin mining machines at a mining facility operated by Bitmain in Ordos, Inner Mongolia, China, on Friday, Aug. 11, 2017.

Qilai Shen | Bloomberg | Getty Images

China has long been home to more than half the world's bitcoin miners, but now, Beijing wants them out ASAP.

In May, the government called for a severe crackdown on bitcoin mining and trading, setting off what's being dubbed in crypto circles as "the great mining migration." This exodus is underway now, and it could be a game changer for Texas.

Mining is the energy-intensive process which both creates new coins and maintains a log of all transactions of existing digital tokens.

Despite a lack of reserves that caused dayslong blackouts last winter, Texas often has some of the world's lowest energy prices, and its share of renewables is growing over time, with 20% of its power coming from wind as of 2019. It has a deregulated power grid that lets customers choose between power providers, and crucially, its political leaders are very pro-crypto dream conditions for a miner looking for a kind welcome and cheap energy sources.

"You are going to see a dramatic shift over the next few months," said Brandon Arvanaghi, previously a security engineer at crypto exchange Gemini. "We have governors like Greg Abbott in Texas who are promoting mining. It is going to become a real industry in the United States, which is going to be incredible."

2021 data for the global distribution of mining power is not yet available, but past estimates have shown that 65% to 75% of the world's bitcoin mining happened in China mostly in four Chinese provinces: Xinjiang, Inner Mongolia, Sichuan and Yunnan. Sichuan and Yunnan's hydropower make them renewable energy meccas, while Xinjiang and Inner Mongolia are home to many of China's coal plants.

The drawdown in miners has already begun in Inner Mongolia. After failing to meet Beijing's climate targets, province leaders decided to give bitcoin miners two months to clear out, explicitly blaming its energy misses on crypto mines.

Castle Island Ventures founding partner Nic Carter says that while it's not totally clear how China will handle next steps, a phased rollout is likely. "It seems like we're going from policy statement to actual implementation in relatively short order," he said.

The way this exodus is measured is by looking at hashrate, an industry term used to describe the computing power of all miners in the bitcoin network.

"Given the drop in hashrate, it appears likely that installations are being turned off throughout the country," continued Carter, who also thinks that probably 50% to 60% of bitcoin's entire hashrate will ultimately leave China.

Although China's announcement hasn't been cemented in policy, that isn't stopping miners like Alejandro De La Torre from cutting their losses and making an exit.

"We do not want to face every single year, some sort of new ban coming in China," said De La Torre, vice president of Hong Kong-headquartered mining pool Poolin. "So we're trying to diversify our global mining hashrate, and that's why we are moving to the United States and to Canada."

One of bitcoin's greatest features is that it is totally location agnostic. Miners only require an internet connection, unlike other industries that must be relatively close to their end users.

"The cool thing about bitcoin that is underappreciated by a lot of the naysayers is that it's a portable market; you can bring it right to the source of energy," said Steve Barbour, founder of Upstream Data, a company that manufactures and supplies portable mining solutions for oil and gas facilities.

That said, the exodus won't be instantaneous, in part, because it will take miners some time to either move their machines out of China or liquidate their assets and set up shop elsewhere.

Because miners at scale compete in a low-margin industry, where their only variable cost is typically energy, they are incentivized to migrate to the world's cheapest sources of power.

"Every Western mining host I know has had their phones ringing off the hook," said Carter. "Chinese miners or miners that were domiciled in China are looking to Central Asia, Eastern Europe, the U.S. and Northern Europe."

One likely destination is China's next-door neighbor, Kazakhstan. The country's coal mines provide a cheap and abundant energy supply. It also helps that Kazakhstan has a more lax attitude about building, which bodes well for miners who need to construct physical installations in a short period of time.

Didar Bekbauov runs Xive, a company that provides hosting services to international miners. Xive also sells the specialized equipment needed for mining.

Bekbauov says that he's stopped counting the number of Chinese miners who have called him to ask about relocation options, ranging from operations with 15 rigs to thousands.

"One miner told us that only government electricity plants have restricted mining and private ones will continue to service miners," Bekbauov told CNBC.

"But most of the electricity is generated by government power plants, so miners will have to move. That makes them uncertain and desperate to find other locations," he said.

Whether Kazakhstan is a destination or simply a stopover on a longer migration west remains to be seen.

Arvanaghi is bullish on North America and thinks the hashrate there will grow over the next few months.

"Texas not only has the cheapest electricity in the U.S. but some of the cheapest in the globe," he said. "It's also very easy to start up a mining company ... if you have $30 million, $40 million, you can be a premier miner in the United States."

Wyoming has also trended toward being pro-bitcoin and could be another mining destination, according to Arvanaghi.

There are, however, a few major limitations to the U.S. becoming a global mining destination.

For one, the lead time to build the actual physical infrastructure necessary to host miners is likely six to nine months, Carter told CNBC. "The U.S. probably can't be as nimble as other countries in terms of onshoring these stray miners," he said.

The move logistics may also prove difficult. There is a shipping container shortage, thanks to the tail winds of the Covid pandemic.

But perhaps the biggest question is the reliability of the Texas power grid. A storm that devastated large swaths of the state in 2021 has reignited a debate over whether Texas should winter-proof its systems, a potentially costly project that might affect taxes or other fees for those looking to tap into the state's power grid.More recently, ERCOT, the organization that operates Texas' grid, asked consumers to conserve energy amid what officials called an unusual number of "forced generation outages" and an upcoming heat wave.

Tesla CEO Elon Musk has bashed bitcoin mining, claiming that it is bad for the environment. It's not a new criticism.

For years, skeptics have maligned the world's most popular digital token for polluting the planet, while supporters have extolled the virtues of bitcoin and its role in accelerating the rise of renewable energy.

It is unclear whether the China mining exodus will make or break the case for bitcoin enthusiasts in the debate around the token's carbon footprint. The dominant narrative, to date, has been that much of the world's bitcoin is mined with Chinese goal.

"From a narrative perspective, it's definitely an improvement," said Carter. "But China also has the most abundant stranded hydro resources in the world."

The country offers significant energy vectors from wind, solar and especially hydropower in the south. Xinjiang's grid, for example, is 35% powered by wind and solar energy inputs.

If all the miners do end up leaving China, it will mean less fossil fuel-powered mining, but it will also mean that the network's share of renewable energy-powered mining will drop. This is why the question of where these migrant miners end up could prove critical to bitcoin's future. "It's the biggest story of the year for bitcoin," said Carter.

De La Torre says they're looking to expand operations using green energy, a trend that is already years in the making. He says that hydro plants are generally cheaper than fossil fuels in most parts of the world.

"Mining is price sensitive, so as to seek out the lowest cost power and the lowest cost power tends to be renewable because if you're burning fossil fuels .. .it has extraction, refinement and transport costs," explained Blockstream CEO Adam Back.

Each year, investment bank Lazard releases a breakdown of energy costs by source. Its 2020 report shows that many of the most common renewable energy sources are either equal to or less expensive than conventional energy sources like coal and gas. And the cost of renewable power keeps going down.

But there are limitations to running crypto mines purely on renewable energy.

Though solar and wind are now the world's least expensive energy sources, both power supplies face limitations at scale, so there is concern over the viability of miners turning exclusively to wind or solar energy.

For the time being, there isn't that much mining capacity worldwide that is ready to absorb the Chinese miner diaspora. While they scramble to find a new home, we could see hashrate go offline and stay offline.

In practice, that would mean all the remaining miners are more profitable for a period of time.

Having more geographic dispersion would even out the global balance of power, and it would also reduce the ability of any one sovereign nation to co-opt or control the network.

We may also see special crypto economic zones pop up in the next few months.

"You will see jurisdictions adopting a very favorable stance and creating the equivalent of special zones to encourage miners to host locally," said Carter. "We're seeing it at the state level here. You're also going to see it at the country level, you might even see subsidized electricity for mining."

Correction: A storm devastated large swaths of Texas in 2021. An earlier version misstated the year.

Originally posted here:
China is kicking out more than half the worlds bitcoin miners and a whole lot of them could be headed to Texas - CNBC

Bitcoin and the wealthy – Financial Times

Ten years ago, Sandra Ro was working in finance in London when some currency-trading friends told her about bitcoin. The cryptocurrency had been released only a couple of years previously and was still far from a global phenomenon.

Bitcoin was only really known in geeky tech circles and eventually currency traders in London found out about it around 2010, says Ro. She invested in the cryptocurrency, made a substantial fortune and is now chief executive of the Global Blockchain Business Council, a Swiss non-profit organisation that promotes the technology behind cryptocurrencies.

With a background in markets at global banks such as Deutsche Bank and Morgan Stanley, Ro was quick to grasp blockchains revolutionary potential. What really piqued my interest was whether the tech could disintermediate financial markets. I thought, what the heck? she recalls. Bitcoin was trading at a couple of hundred bucks at the time and I bought a bunch thinking, what if it works? And guess what? It did!

Today, bitcoin and its digital peers are becoming mainstream. The hype reached new heights this year after the cryptocurrency gained 600 per cent in value in 12 months. The mania has swept up not only retail investors but also very wealthy people. Ultra-high-net-worth individuals (UHNWs people with assets of $30mormore) such as Paul Tudor or Stanley Druckenmiller were among the earliest backers of bitcoin,the biggest cryptocurrency, and are prominent in the market today.

Bitcoin and other cryptocurrencies are also gaining traction as a store of value for financial institutions. Banksare queueing up to compete Goldman Sachs is trading cryptocurrencies while Citigroup is considering providing trading, custody and financing services. Billionaire investors openly discuss their cryptocurrency-related investments, while some large publicly listed companies, such as software company MicroStrategy, hold billions of dollars worth of bitcoin on their balance sheets.

Neither the sharp sell-off that hit cryptocurrencies last month nor the surrounding turmoil should obscure the fact that these are now huge markets, with a combined value of $1.6tn. That is big enough as an investment pool for even the richest private investors and largest family offices.

But bitcoin still divides opinion. For some it is an obsession,for others a speculative bubble. Yet financial industry analysts say that few people really understand how it works. To make life more complicated, it has spawned scores of other cryptocurrencies, all based on complex computer-driven calculations but with different levels of liquidity and transparency. We have seen UHNW individuals and family offices looking into cryptocurrencies and becoming interested in allocating some portion of their investments into crypto, says Calvin Koo, a Hong Kong-based lawyer at Kobre & Kim. But its important to make sure investors dont inadvertently step into a minefield.

Clearly, what makes the crypto field tempting are the stories of those who have struck gold. Ro is reluctant to say how much she is worth as a result of her bitcoin punt, as she has been targeted by scammers and has received death threats after talking about the subject. But she was able to leave full-time banking in 2017 the year of bitcoins first significant rally, when prices rose from just above $800 to almost $20,000. Bitcoins surge to $63,000 earlier this year increased Ros fortune.

Lets just say, I have done very well. I have gone from being a banker to working at a non-profit, says Ro, who studied at Yale and Columbia universities. Getting in early because the tech seemed really cool also worked out as an investment, so thats also pretty cool. Being an early investor meant she has had to try a dozen exchanges, suffered hacks and been locked out of investments. Her friends have also done well from her foray, as she recalls giving them bitcoin just to test out how it works.

I wasnt surprised by bitcoin doing well, but there were always a lot of risks. There were hacks, regulatory risks and exchanges going bust, she says. Crypto used to be messy. Now there are multimillion-dollar companies being built.

Another early believer is Olivier Janssens, a Belgian-born entrepreneur who states his profession on LinkedIn as an investor in bitcoin since 2010. He is also proudly self-educated with an attraction to libertarian and voluntarist ideas and forged a career as a software entrepreneur. In 2014, when bitcoin was trading at around 600, he became the first person to pay for a flight by private jet with the cryptocurrency. He settled the bill for the trip from Brussels to Nice with, he estimates, 15 bitcoin in hindsight, a pretty costly trip. [That] would be worth about 400,000 today, he says.

Crypto used to be messy. Now there are multimillion-dollar companies being built

Janssens has also realised actual losses in the volatile world of cryptocurrencies, notably in the saga of the collapsed exchange Mt. Gox, one of the largest crypto-linked financial failures.

More recently, the huge gain in the price has left early investors like Janssens dealing with the problem of having too much bitcoin as a proportion of their overall portfolio. Some bitcoin investors who vow never to sell their cryptocurrencies are known as hodlers (holding on for dear life). I sometimes rebalance my portfolio when it becomes 50 per cent of my assets. Im smart enough to sell sometimes Im not a hardcore hodler, says Janssens.

Seven years after the Belgians historic trip, paying for private charters by bitcoin is not quite mainstream but no longer newsworthy. More than one in 10 flights were settled with bitcoin in January at jet-hire company PrivateFly, where the share of cryptocurrency revenues grew to a fifth of the total. Denison, a US luxury yacht charter company, published a list of its 372-strong fleet in February with prices in bitcoin.

However, Janssens is slightly disappointed in bitcoins evolution from a peer-to-peer means of payment to a perceived store of value, which he says is completely against the original aim of the cryptocurrency. Its interesting to see big companies buy bitcoin as a digital gold, but I have personally shifted my focus to currencies like ethereum, he says.

There are hundreds if not thousands of alternative coins with varying characteristics. Like bitcoin, all are created by computers solving complex mathematical equations, churning out digital code. Some, known as shitcoins, are created purely as get-rich-quick schemes.

Janssens is among wealthy investors who think ethereum, launched in 2015 and now the second-most traded cryptocurrency, could be bigger than its erstwhile peer. Supporters say it could rewire the financial infrastructure. Billionaire financiers Mike Novogratz, Peter Thiel and Alan Howard are among investors who recently announced their backing of a venture that relies on ethereum.

Bitcoin might drop 20% in a day but its still up 85% this year; its about how far out you see the big picture

While bitcoin is just a piece of digital code, ethereum acts as a store of data and a marketplace for assets as well. It can perform the tasks of brokers, exchanges and other intermediaries, with the help of so-called embedded smart contracts. These ensure transaction details are correct, funds are paid and assets change hands as set out in a preprogrammed piece of code.

Ethereum is also behind most non-fungible tokens, which are digital representations of things, people or concepts that investors can buy in the form of units of data stored on a secure computer ledger artworks, for example. Christies, the UK auction house, is preparing for the sale of digital tokens created around the works of American artist Andy Warhol. Digital art is gaining momentum, says Emma Cunningham, a Christies spokesperson.

But not everyone is convinced the future is bitcoin-shaped. The cryptocurrencys volatility might be attractive to investors seeking fortunes. Those who are already wealthy, though, often avoid the rough and tumble. Our clients have already created substantial wealth, so theyre in preservation mode and only a very small proportion of clients have the high risk tolerance required for crypto, says Mohammed Kamal Syed, head of asset management at Coutts, the UK bank.

That does not mean UHNW individuals will ignore the siren call of extreme profits, says Syed. All clients have Fomo [fear of missing out], all the time. But with crypto, if anything, theyre bewildered; they dont understand why its gone up or down because no one knows, he says.

Sky-high valuations this year have raised fears of a bubble an outcome some hedge funds backed by wealthy investors are betting on. I believe we have passed the point of peak speculation crypto and bitcoin have this glamorous image, but that will get questioned ultimately, says Barry Norris, chief executive and fund manager at Argonaut Capital, a London-based equity specialist. He has started shorting crypto exchange Coinbase and software company MicroStrategy, a corporate holder of bitcoin.

Cryptocurrencies also face broader challenges. A growing concern is their environmental impact a Cambridge university study suggests the computers used to generate bitcoin consume more electricity than Sweden.

Meanwhile, governments in the US, China and the EU are raising questions about the sectors potential instability and lack of transparency. Criminal investigators say cryptocurrencies can be used for financing terrorism or other illegal activities, while tax inspectors are focusing on investors huge capital gains. Koo at Kobre & Kim says that despite a reputation for anonymity, cryptocurrency transactions are a lot more traceable than most investors think. Many UHNW individuals value privacy for different reasons, so they often have to make a choice between privacy and security, he says.

But despite these concerns, the potential returns keep the investors coming, including family offices. You cant find alpha like this in any other asset class, says Kevin Kang, founding principal of New York-based cryptocurrency hedge fund BKCoin, whose clients include rich individuals. Kang and his co-founder, Carlos Betancourt, manage $50m of assets in the fund they established in 2018.

Among the better-known individual cryptocurrency enthusiasts is Derrick Brown, a former NBA basketball player. Now chief executive of US venture company Free Fenix, he says he is an investor first and foremost, who also happened to play sports in the past. He adds that were he starting his sporting career now, he would ask for part of his pay to be in crypto.

Brown first invested in cryptocurrencies partly through an allocation in specialist hedge fund BlockTower. I look at everything from a diversification standpoint, he says, noting that less than 5 per cent of his portfolio is allocated to cryptocurrency. Bitcoin might drop 20 per cent in a day, but year to date its still up 85 per cent; its about how far out you see the big picture, he adds.

Ro agrees. This is a market at an experimental stage and this is what happens, she says. Im a typical hodler. I believe in crypto in the long run, but Im not going to put all my life savings in it. I have stocks, real estate, jewellery, art...its about diversification.

This article is part ofFT Wealth, a section providing in-depth coverage of philanthropy, entrepreneurs, family offices, as well as alternative and impact investment

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Bitcoin and the wealthy - Financial Times