How Artificial Intelligence is Revolutionizing Major Industries – United News of India

New Delhi, Jan 22, 2021: Artificial Intelligence (AI) is a catch-all term that refers to the simulation of human intelligence in machines, which results in traits like learning and problem-solving. On hearing these words, fans of science fiction might bring to mind images of intelligent robots intent on overthrowing or, at the very least, subjugating the human race. However, AI is a lot more varied and common than you might think. If youve experienced asking Siri to search for something online or used Google maps to make your way around a new place, then youve experienced just some of the benefits of artificial intelligence.

As technology becomes even more sophisticated, things which we once believed impossible are starting to become a reality. We owe a lot of this innovative progress to artificial intelligence and the brilliant people behind their programming. With such a powerful tool at their fingertips, many industries are continuously being revolutionized. As an example, here are a few of AIs applications to some of our major industries.

AI and Healthcare

Through studying and learning from large sets of data found in electronic health records, AI is able to expand physicians knowledge of similar symptomatic origins among numerous patients, even for rare diseases. AI is also able to speedily and thoroughly review medical literature and extract information about how the combination of certain types of drugs impacts the wellbeing of a patient who takes them together. This is a field in which the vast majority of us benefit greatly from any innovations. Therefore, it is wonderful to discover that AI has helped the medical field in better diagnosing diseases and in predicting possible complications from taking multiple medications simultaneously.

AI and The Automotive Industry

AI can be credited with changing not just what a vehicle can do, but also how it is made. AI has been utilized to alert drivers to dangerous situations and help them avoid accidents through monitoring dozens of sensors. Some companies like Google and Tesla have gone one step further and produced self-driving vehicles, which are constantly learning and improving their navigation systems, AI also protects the workers in manufacturing from injury. For instance, collaborative robots sense what their human counterparts are doing and adjust their movements to avoid injuring the people who work alongside them. Since most of us have driven, ridden in or been near a car at least once in our lives, it is indeed good news to hear that AI helps to make roads and production floors safer for everyone.

AI and Online Games

A pastime which is growing in popularity worldwide is online gaming. Avid gamers will surely thank AI when they find out just how much it contributes to a wonderful gaming experience. On a basic level, AI controls the non-player characters in each game such as enemy bots or even benign characters like helpful townspeople. The AI in some games even assesses a players ability and adjusts the level of difficulty accordingly. Most importantly, AI explores the patterns in how people use the game. This then helps developers determine how to improve it further. Whatever the online games platform we use, what is common among all of them is that they have been somehow transformed by AIs proverbial magic wand.

Those are just some of the positive changes that AI has brought into our lives. And this is only just the beginning. There are many upcoming innovations that we can look forward to.

Although artificial intelligence is certainly not without its drawbacks, one thing is abundantly clear: If used in the right way and for the right reasons, it can certainly change the world for the better.

(Disclaimer--Features may vary depending on the regions; subject to change without notice.)

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How Artificial Intelligence is Revolutionizing Major Industries - United News of India

Heres Why Investors Should Pay Close Attention to Artificial Intelligence – Baystreet.ca

Artificial intelligence is ingrained into our lives. Its influencing our shopping choices online, helping us book meetings, and even finding the best deals. The auto industry is using AI to create driverless cars. The financial industry uses it to help organize operations, for bookkeeping, and to help reduce fraud and potential crime. Physicians can use it to identify correct medications based on patient analysis, and can even use it to help identify medical issues before they present themselves. Google and Facebook use it to deliver better advertising to users. Thats just a fraction of how AI is revolutionizing life as we know it. All as global companies race to embrace machine learning, and deep learning that will force computers to perform tasks that typically rely on humans.

In addition, JP Morgan analysts believe the market will grow to $58 billion by 2021. Better, Microsoft CEO Satya Nadella says AI is the "defining technology of our times. As we see advances in AI, some of the top companies to keep an eye on include Datametrex AI Ltd. (TSXV:DM)(OTC:DTMXF), Palantir Technologies Inc. (NYSE:PLTR), Baker Hughes Co. (NYSE:BKR), Fortinet Inc. (NASDAQ:FTNT), and Palo Alto Networks Inc. (NYSE:PANW).

Datametrex AI Ltd. (TSXV:DM)(OTC:DTMXF) BREAKING NEWS:Datametrex AI Ltd. is pleased to announce that it has renewed and extended its current sales agreements on January 15, 2021, with LOTTE Global Logis, LOTTE Duty-Free Shops, and LOTTE Home Shopping, LOTTE Super, collectively LOTTE for technology services and maintenance. The aggregate gross revenue from these agreements is approximately $500,000 CAD with the gross margin of $259,000. Datametrex is a continued preferred vendor partner for LOTTE, and vendors on this platform have demonstrated quality, reliability, and trustworthiness.

These extended agreements with LOTTE further confirm Datametrexs business strategy for generating revenue from its diverse portfolio of AI technology and cybersecurity products, commented Marshall Gunter, CEO of Datametrex.

Other related developments from around the markets include:

Palantir Technologies Inc. (NYSE:PLTR) announced the Army (PEO IEW&S) down-selected it to deliver a prototype for the first phase of the Armys Ground Station modernization in support of the Armys Tactical Intelligence Targeting Access Node (TITAN) program. The contract value for this phase is $8.5 million, with a potential contract value of approximately $250 million over all 4 phases. Palantir was awarded a Phase 1 Project Agreement through an Other Transaction Agreement (OTA) with Consortium Management Group, Inc. (CMG) on behalf of Consortium for Command, Control and Communications in Cyberspace (C5).

Baker Hughes Co. (NYSE:BKR) will hold a webcast onThursday, January 21, 2021to discuss the results for the fourth quarter and full year endingDecember 31, 2020. The webcast is scheduled to begin at9:00 a.m. Eastern Time(8:00 a.m. Central Time). A press release announcing the results will be issued at7:00 a.m. Eastern Time(6:00 a.m. Central Time).

Fortinet Inc. (NASDAQ:FTNT), a global leader in broad, integrated, and automated cybersecurity solutions, announced that it will hold a conference call to discuss its fourth quarter 2020 financial results onThursday, February 4at1:30 p.m. Pacific Time(4:30 p.m. Eastern Time).

Palo Alto Networks Inc. (NYSE:PANW) launched a rapid response program to help SolarWinds Orion customers navigate risks from cyberattacks. SolarWinds Orion products are currently being exploited by malicious actors to gain access to the company's systems, activity being tracked by Palo Alto Networks' Unit 42 as SolarStorm. In launching the program, Palo Alto Networks shared that its Cortex XDR platform had successfully prevented an attempted SolarStorm attack. As well as instantly blocking the attempt, the company's systems deployed a set of indicators of compromise to customer-facing Palo Alto Networks' products.

Legal Disclaimer / Except for the historical information presented herein, matters discussed in this article contains forward-looking statements that are subject to certain risks and uncertainties that could cause actual results to differ materially from any future results, performance or achievements expressed or implied by such statements. Winning Media is not registered with any financial or securities regulatory authority and does not provide nor claims to provide investment advice or recommendations to readers of this release. For making specific investment decisions, readers should seek their own advice. Winning Media is only compensated for its services in the form of cash-based compensation. Pursuant to an agreement Winning Media has been paid three thousand five hundred dollars for advertising and marketing services for Datametrex AI Ltd. by a third party. We own ZERO shares of Datametrex AI Ltd. Please click here for full disclaimer.

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Heres Why Investors Should Pay Close Attention to Artificial Intelligence - Baystreet.ca

Artificial Intelligence is the Pharmaceutical Expert in Drug Development – Analytics Insight

Thepharmaceutical industryis a slow learner when it comes to implying digital health technology. Pharma companies have so far delayed the idea of usingartificial intelligence and machine learningstrategies to develop drugs. Artificial intelligence has the potential to make extraordinary innovation wave in drug discovery. However, the pharmaceutical sector should work on filling the gap between understanding these possibilities and applying them tothe drug discovery and developmentprocess.

Healthcare industry hasrapidly embraced artificial intelligenceinto the working system. AI and its sub-technologies are helping the medical industry on a large scale. However, the pharmaceutical industry is still on the initial stage of leveraging digital technologies to accelerate the drug development process. The main goal of drug discovery is to identify the medicine that acts beneficially on the body. Finding the right drug involves a lengthy process of carrying out large screen libraries of molecules that can specifically bind to a target molecule involved in a disease. The mission to find the right drug goes through numerous rounds of tests to develop it into a promising compound. According toTaconic Biosciencesstally, an incredible amount of time and money goes into drug development and bringing a drug to market costs about US$2.8 billion over 12+ years. Fortunately, artificial intelligence can help pharmaceutical industry to find the right drug and develop it. Artificial intelligence uses personified knowledge and learns from solutions it produces to address not only specific but also complex problems in medicine.

Drug development is a long process if conducted manually. Initially, researchers have to identify the target protein that is causing the disease and study it for a long time. Next, they try to find which component or a molecule would influence the protein. During this process, researchers make sure that inefficient components are kept aside and only safe, efficient components are taken further. The role of AI in drug discovery starts with finding the molecule that better address the protein. Researchers cant test the hundreds and thousands of molecules in market. It is both lengthy and expensive. Fortunately, AI platforms replace the long testing process with a simple analysis. Researchers feed in parameters into the AI platforms and make them run an analysis on the molecules. AI platform identifies the right component that can be used for drug development.

Even though deep neural network has been around the tech radar for decades, it got a wide range of attention only in 2012. Researchers from the University of Toronto won the ImageNet Large Scale Visual Recognition Challenge (ILSVR) are using deep neural network. Currently, pharmaceutical companies are using various types of deep neural networks to explore classical statistical techniques. The technology helps in finding the right molecule that is responsible for certain activities. Deep neural network gives an immediate indication to chemists of what to do in order to remove certain unwanted activities. This deep neural network model is also used by chemists to judge their compound ideas before deciding on whether to synthesize them or not

Healthcare data is huge and critical. Today, millions of research, feedback, reports, patient records and a whole lot of other things related to the healthcare industry are fed into AI in form of big data. Even though healthcare sector is pretty slow in availing solutions from them, medical institutions are trying their best to stay ahead in the race. Artificial intelligence systems are featured with an apt mechanism to go through data and make meaningful interpretations out of that. Deep learning programs run on the data and learn more about the proteins whose presence makes a difference between healthy patients and an ill one. Meanwhile, machine learning abilities strive to find and establish connections between proteins and diseases.

Before theCovid-19 pandemic outbreak, no one thought that a vaccine process could be fast-tracked so much. Generally, making a vaccine and testing it on a trial basis involves years of research and observation. However, the pandemic has broken the routine. Governments across the globe were running a race to come up with an effective vaccine as soon as possible. The funding into pharmaceutical industry also skyrocketed during the period. With accelerating the trials and emergency approvals on the bag, pharmaceutical companies leveraged AI to complement the vaccine making process.

AI in drug discovery (Phase 1): Discovering the right drug involves reading and analysing already existing literature and testing the ways potential drugs interact with targets. AI performs the tasks faster than humans and provides rapid results.

AI in preclinical development (Phase 2): During the preclinical development phase, the drug is tested on animals to see how they perform. Unveiling AI in this phase will help trials run smoothly and enable researchers to more quickly and successfully predict how a drug might interact with the animal model.

AI in clinical trials (Phase 3): Researchers begin testing the drug on human bodies during the clinical trial. AI can facilitate participant monitoring during clinical trials, generating a larger set of data more quickly and aid in participant retention by personalizing the trial experience.

Even though AI is helping drug discovery to a large range, it also raises some remarkable ethical questions. Patient data are hectic in healthcare industry. If these critical data gets to the hands of hackers, there are chances that itll be used for evil purposes. Henceforth, patient privacy needs to be maintained. Unlike many other sectors, there are no regulations or policies that direct drug makers to go on a drawn line. It is up to the pharmaceutical companies tosecure patient dataand use it in the right way.

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Government Will Increase Scrutiny on AI in Screening – ESR NEWS

Written By Employment Screening Resources (ESR)

Government agencies in the United States such as the Federal Trade Commission (FTC), the Consumer Financial Protection Bureau (CFPB), and the Equal Employment Opportunity Commission (EEOC) will increase scrutiny on how Artificial Intelligence (AI) is used in background screening, according to the ESR Top Ten Background Check Trends for 2021 compiled by leading global background check firm Employment Screening Resources (ESR).

In April 2020, the FTC the nations primary privacy and data security enforcer issued guidance to businesses on Using Artificial Intelligence and Algorithms written by Director of FTC Bureau of Consumer Protection Andrew Smith on the use of AI for Machine Learning (ML) technology and automated decision making with regard to federal laws that included the Fair Credit Reporting Act (FCRA) that regulates background checks.

Headlines tout rapid improvements in artificial intelligence technology. The use of AI technology machines and algorithms to make predictions, recommendations, or decisions has enormous potential to improve welfare and productivity. But it also presents risks, such as the potential for unfair or discriminatory outcomes or the perpetuation of existing socioeconomic disparities, Director Smith wrote in the FTC guidance.

The good news is that, while the sophistication of AI and machine learning technology is new, automated decision-making is not, and we at the FTC have long experience dealing with the challenges presented by the use of data and algorithms to make decisions about consumers, Smith wrote. In 2016, the FTC issued a report on Big Data: A Tool for Inclusion or Exclusion? In 2018, the FTC held a hearing to explore AI and algorithms.

In July 2020, the Consumer Financial Protection Bureau (CFPB) a government agency that helps businesses comply with federal consumer financial law published a blog on Providing adverse action notices when using AI/ML models that addressed industry concerns about how the use of AI interacts with the existing regulatory framework. One issue is how complex AI models address the adverse action notice requirements in the FCRA.

FCRA also includes adverse action notice requirements. For example, when adverse action is based in whole or in part on a credit score obtained from a consumer reporting agency (CRA), creditors must disclose key factors that adversely affected the score, the name and contact information of the CRA, and additional content. These notice provisions serve important anti-discrimination, educational, and accuracy purposes, the blog stated.

There may be questions about how institutions can comply with these requirements if the reasons driving an AI decision are based on complex interrelationships. Industry continues to develop tools to accurately explain complex AI decisions These developments hold great promise to enhance the explainability of AI and facilitate use of AI for credit underwriting compatible with adverse action notice requirements, the blog concluded.

In December 2020, ten Democratic members of the United States Senate sent a letter requesting clarification from the U.S. Equal Employment Opportunity Commission (EEOC) Chair Janet Dhillon regarding the EEOCs authority to investigate bias in AI driven hiring technologies, according to a press release on the website of U.S. Senator Michael Bennet (D-Colorado), one of the Senators who signed the letter.

While hiring technologies can sometimes reduce the role of individual hiring managers biases, they can also reproduce and deepen systemic patterns of discrimination reflected in todays workforce data Combatting systemic discrimination takes deliberate and proactive work from vendors, employers, and the Commission, Bennet and the other nine Senators wrote in the letter to EEOC Chair Dhillon.

Today, far too little is known about the design, use, and effects of hiring technologies. Job applicants and employers depend on the Commission to conduct robust research and oversight of the industry and provide appropriate guidance. It is essential that these hiring processes advance equity in hiring, rather than erect artificial and discriminatory barriers to employment, the Senators continued in the letter.

Machine learning is based on the idea that machines should be able to learn and adapt through experience and Artificial Intelligence refers to the broader idea that machines can execute tasks intelligently to simulate human thinking and capability and behavior to learn from data without being programmed explicitly, explained Attorney Lester Rosen, founder and chief executive officer (CEO) of ESR.

There have certainly been technological advances including back-office efficiencies and strides towards better integrations that streamline the employment screening process. However, does that qualify as machine learning or AI? In reality, true machine learning and artificial intelligence and the role it is likely to play in the future could fuel a new source of litigation for plaintiffs class action attorneys, said Rosen.

Proponents of AI argue that it will make the processes faster and take bias out of hiring decisions. It is doubtful that civil rights advocates and the EEOC will see it that way. The use of AI for decision making is contrary to one of the most fundamental bedrock principles of employment that each person should be treated as an individual, and not processed as a group or based upon data points, Rosen concluded.

Employment Screening Resources (ESR) a leading global background check provider that was ranked the number one screening firm by HRO Today in 2020 offers the award-winning ESR Assured Compliance system, which is part of The ESRCheck Solution, for real-time compliance that offers automated notices, disclosures, and consents for employers performing background checks. To learn more about ESR, visit http://www.esrcheck.com.

Since 2008, Employment Screening Resources (ESR) has annually selected the ESR Top Ten Background Check Trends that feature emerging and influential trends in the background screening industry. Each of the top background check trends for 2021 will be announced via the ESR News Blog and listed on the ESR background check trends web page at http://www.esrcheck.com/Tools-Resources/ESR-Top-Ten-Background-Check-Trends/.

NOTE: Employment ScreeningResources (ESR) does not provide or offer legal services or legal advice ofany kind or nature. Any information on this website is for educational purposesonly.

2021 Employment Screening Resources (ESR) Making copies of or using any part of the ESR News Blog or ESR website for any purpose other than your own personal use is prohibited unless written authorization is first obtained from ESR.

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Why people are so obsessed with bitcoin: The psychology of crypto explained – CNBC

Bitcoin fever is back.

Bitcoin hit a new high in early January, reaching a price of nearly $42,000. On Friday morning, the price of the notoriously volatile cryptocurrency was about 32,500, according to CoinDesk.

Even mainstream financial instituions are warming up: JP Morgan said, in the long-term, if the market cap gets high enough that it competes with gold, the price of bitcoin could reach $146,000, in a note published in January. (Bitcoin currently has a market value of over $600 billion.)

But more than just a cryptocurrency, bitcoin has become an obsession for many. Here are some of the behavioral and psychological reasons why.

Bitcoin is "more religion than solution to any problem," billionaire Mark Cuban told Forbes in December.

In fact, bitcoin aficionados have their own jargon full of acronyms and phrases from "HODL" to "whale," and (pre-Covid) bitcoin conferences would attract thousands of attendees. The crypto crow even has a preferred car to buy with their bitcoin: the Lambo (aka Lamborghini).

"The culture around bitcoin is part of the appeal," says Finn Breton, professor of science and technology at the University of California Davis and author of "Digital Cash: The Unknown History of the Anarchists, Utopians, and Technologists Who Created Cryptocurrency."

"When you buy bitcoin, you're actually buying into a whole scene," Breton says. "And it's a scene that can be a part of your identity."

Though bitcoin is getting more attention from some serious investors and mainstream financial institutions, it's still a somewhat subversive concept, so people who invest in it can view themselves as radical or participating in counterculture, Breton says.

From celebrities who invest in bitcoin, to a highly-engaged bitcoin community on Twitter, TikTok and Reddit, social media feeds into bitcoin's popularity.

"Suddenly, there's like a new way to see, finance and to have an identity of yourself as an actor in like the financial space," says Lana Swartz, assistant professor of media studies at the University of Virginia and author of "New Money: How Payment Became Social Media," tells CNBC Make It.

These social platforms can also drive behaviors, according to Utpal Dholakia professor of marketing at Rice University, who studies consumer financial decision-making. Research has shown that when people talk about their investments in online social environments, they tend to become more risk-seeking in the types of investments they make, he tells CNBC Make It.

"The same dynamic applies to a lot of investment decisions which are being made right now," Dholakia says.

Many smart investors, from Kevin O'Leary to CNBC's Jim Cramer, have likened buying bitcoin to going to Vegas. Berkshire Hathaway CEO and chairman Warren Buffett has been a longtime critic of bitcoin, saying that "cryptocurrencies basically have no value" and are a "gambling device."

And as with gambling, "some people certainly enjoy that thrill," Dholakia says.

Checking the price of stocks regularly is an activity that could get boring, says Tom Meyvis, professor of marketing at New York University's Leonard N. Stern School of Business. "With something like bitcoin, it's exciting because there's constantly something happening," he says. "You can check it 10 times a day and the price can vary wildly."

Also, many young people especially, who have grown up with video games and social media, are conditioned to want instant gratification and fast-paced cycles, Swartz says. Being drawn to high-risk high-reward investments like bitcoin "makes perfect sense," she says.

People get excited by the prospect of bringing a new, potentially life-changing, technology into the world. And with bitcoin bulls predicting the crypto's price couldgo as high $200,000 over the next decade, and with mainstream financial businesses from Paypal to Square getting into bitcoin, it's hard not to fear missing out.

Add to that the viral stories about people who have had success with bitcoin: There are enviable windfalls, from instant bitcoin millionaires to stories like the "Bitcoin Family," a Dutch family of five who liquidated their assets in 2017 in exchange for bitcoin (when bitcoin was priced at $900), moved into a van and traveled the world.

"People focus more on the upside than the downside," says Meyvis. So it's easy to get swept up in the possibilities that could come from bitcoin.

"Money is a technology that allows us to imagine futures," Swartz says.

The bitcoin excitement, particularly among young people, illustrates that people feel "locked out of the ability to have the kind of assets that would let them generate any form of wealth," Breton says. Millennials, those born between 1981 and 1996, controlled just 4.6% of U.S. wealth through the first half of 2020, according todata from the Federal Reserve.

"When we look at the fever around bitcoin, we really need to see it like in part as a demonstration of the fact that this is happening because there are not reliable, non-speculative mechanisms whereby people who don't already have access to a chunk of wealth could produce wealth over time," he says. "And that's a real indictment of the way things are currently set up for younger people."

Check out:Thinking of buying bitcoin? What experts say about big crypto concerns: You have to be mentally prepared

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Why people are so obsessed with bitcoin: The psychology of crypto explained - CNBC

Janet Yellen Will Consider Limiting the Use of Cryptocurrency – WIRED

Cryptocurrencies could come under renewed regulatory scrutiny over the next four years if Janet Yellen, Joe Biden's pick to lead the Treasury Department, gets her way. During Yellen's confirmation hearing on Tuesday before the Senate Finance Committee,Senator Maggie Hassan (D-New Hampshire) asked Yellen about the use of cryptocurrency by terrorists and other criminals.

"Cryptocurrencies are a particular concern," Yellen responded. "I think many are usedat least in a transactions sensemainly for illicit financing."

She said she wanted to "examine ways in which we can curtail their use and make sure that [money laundering] doesn't occur through those channels."

Blockchain-based financial networks are attractive to criminals because they do not require users to identify themselvesas the law requires most conventional financial networks to do. Because no individual or organization controls these networks, there's no easy way for governments to force them to comply with money-laundering laws.

So instead of trying to force the networks themselves to comply, regulators in the USand many other jurisdictionshave focused on regulating bitcoin exchanges that help users trade between dollars and cryptocurrencies. Once a bitcoin exchange identifies who initially received a particular bitcoin payment, law enforcement can often trace subsequent payments through a blockchain network's open payment ledger.

In December, Trump's outgoing team at the Financial Crimes Enforcement Networka unit of the Treasury Department focused on money launderingproposed a new set of rules to tighten the screws on cryptocurrency-based money laundering.

Under the new rules, cryptocurrency-based exchanges would need to file transaction reports with FinCEN any time a customer made a cryptocurrency transaction worth more than $10,000. This would mirror existing rules requiring conventional banks to report when customers make cash withdrawals or deposits worth more than $10,000.

Even more controversial in the cryptocurrency world, FinCEN wants to impose new record-keeping requirements for transactions involving users who manage their own private keysdubbed "unhosted wallets" by FinCEN. Under FinCEN's proposal, if a cryptocurrency exchange's customer sends more than $3,000 to an unhosted wallet, the exchange would be required to keep a record of the transaction, including the identity of the customer who initiated the payment.

These new rules didn't take effect before Trump left office, so theincoming Biden team will need to decide what to do with them. The Biden administration couldsign off on the existing rules, rewrite them, or scrap them altogether. Yellen's comments on Tuesday suggest that she is unlikely to scrap the rules. If anything, the Treasury Department is likely to consider additional regulations of the blockchain economy over the next four years.

This story originally appeared on Ars Technica.

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Janet Yellen Will Consider Limiting the Use of Cryptocurrency - WIRED

Crypto Crime Fell Sharply to Only 0.3% of All Cryptocurrency Activity in 2020 Featured Bitcoin News – Bitcoin News

A study by blockchain analytics firm Chainalysis finds that cryptocurrency-related crime has fallen significantly. The criminal share of all crypto activity fell to just 0.34% in 2020. This contradicts recent statements by U.S. Treasury Secretary nominee Janet Yellen and ECB President Christine Lagarde that cryptocurrencies are mostly used for illicit financing.

Chainalysis shared some findings from its 2021 Crypto Crime Report this week. While acknowledging that cryptocurrency remains appealing for criminals as well due primarily to its pseudonymous nature and the ease with which it allows users to send funds anywhere in the world instantly, the blockchain analytics firm detailed:

The good news is that cryptocurrency-related crime fell significantly in 2020 In 2020, the criminal share of all cryptocurrency activity fell to just 0.34%, or $10.0 billion in transaction volume.

In comparison, the firm explained that in 2019, criminal activity represented 2.1% of all cryptocurrency transaction volume, or roughly $21.4 billion worth of transfers. Last year, One reason the percentage of criminal activity fell is because overall economic activity nearly tripled between 2019 and 2020, the company noted.

Chainalysis noted that darknet markets were the second-largest crime category. It accounted for $1.7 billion worth of cryptocurrency activity, which was an increase from $1.3 billion in the previous year. Ransomware accounted for just 7% of all funds received by criminal addresses, which was just under $350 million worth of cryptocurrency. While small, ransomware saw a 311% jump over 2019.

The findings by Chainalysis contradict the recent statements made by Joe Bidens pick for the U.S. Treasury Secretary, Janet Yellen, and ECB President Christine Lagarde. Yellen said Tuesday that many cryptocurrencies are used mainly for illicit financing. Meanwhile, Lagarde said last week that bitcoin has conducted some funny business and some totally reprehensible money laundering activity.

Several people in the crypto industry have pointed out the error of their statements, including a well-known economist who called Lagardes statement outrageous. He emphasized, we all know that the vast majority of money laundering globally is conducted in fiat currencies, particularly in U.S. dollars and euros.

What do you think about the falling rate of crypto crime? Let us know in the comments section below.

Image Credits: Shutterstock, Pixabay, Wiki Commons

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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What’s the Best Cryptocurrency Stock? It Might Be CME Group – The Motley Fool

2020 was a seeming conundrum in financial markets. In the midst of the pandemic, many investors turned a tidy profit. In particular, owners of bitcoin and other cryptocurrencies had a banner year. Bitcoin increased over 300% in value. Congrats if you called it and got in ahead of the boom. And as cryptocurrencies are a scarce resource, there could be more long-term upside in crypto prices.

But I'm not here to make that call. Instead, I'm talking about stocks that will benefit from the long-term increase in usage of digital assets. And CME Group (NASDAQ:CME) could be the best business for investing in the trend.

Image source: Getty Images.

Cryptocurrency prices are not the best measure of how useful a digital currency actually is. Rather, they're a short-term measure of supply and demand. This is the case with any asset price in the short term, stocks included. Think back to your Econ 101 class: All resources are finite in supply, so changes in demand dictate the price of said resource. If demand exceeds supply, then prices go up; if demand dips below available supply, prices go down. Cryptocurrencies -- embodied by bitcoin -- were in very high demand in 2020 relative to the limited supply of digital coins in actual circulation. (Of note, most bitcoins in existence are not actually in circulation, as explained by fellow Fool.com contributor Sean Williams.) In 2018, it was the opposite situation.

Data by YCharts.

But these wild fluctuations in price don't exactly measure digital money's (and the underlying blockchain technology's) usefulness -- that is to say, how many (or how few in this case) consumers and businesses are using bitcoin in their daily activities. For many investors, myself included at the moment, a lack of utility makes cryptocurrencies a hard pass after their epic run in the last year.

But is there a way to bet on the long-term growth in acceptance of digital currency (the true measure of any currency's worth as a storage of value) without needing to worry about wild swings in cryptocurrency prices themselves? Yes, and I think the ticket is CME Group.

CME Group is the world's largest marketplace of derivatives contracts -- options and futures (a pre-agreed-upon price for delivery of an asset at a future date) for a long list of things from company stock to commodities like oil and agricultural products to fiat currencies like the U.S. dollar. While derivatives have a bad rap in some investors' minds (thanks to the wild speculation they can help enable), contracts like options and futures have been in use for centuries as a way for people and organizations to manage risk and from which to discover information about expectations within the economy.

By and large, it's for this risk mitigation that options and futures contracts are used. And CME is an efficient and very profitable facilitator of risk transference. The marketplace generated free cash flow (revenue minus cash operating expenses and capital expenditures) of $1.77 billion on revenue of $3.73 billion through the first nine months of 2020 -- an incredible margin of 47%. The company has a nearly two-decade-long track record paying a steadily rising quarterly dividend (currently $0.85 per share each quarter in 2020, yielding 1.8% at Friday's prices) and often pays a special dividend at the end of the year to distribute excess cash. For 2020, the one-time special dividend was $2.50 per share, boosting the stock's effective annual yield to 3.1%.

But what's all this to cryptocurrency? CME launched futures contracts on bitcoin in 2017, expanded the market to include bitcoin futures options in early 2020, and will add a new cryptocurrency marketplace via Ether futures (a unit of Ethereum, the second-largest crypto behind bitcoin) in February 2021. Derivatives contracts on the two largest crypto assets are a big deal if you believe adoption of digital currency will increase over time. Derivatives can help make a market for an asset more stable and could encourage businesses and organizations to accept their use. And CME earns a small fee every time a contract is traded.

For example, let's say a retailer wants to begin accepting bitcoin or Ethereum as a form of payment from customers, but it needs to report financial results and pay its bills (including taxes) in U.S. dollars. Derivatives can help it hedge against loss from possible declines in crypto prices on the revenue it collects. CME is helping make such risk mitigation possible, and adding legitimacy for bitcoin and Ethereum as a form of payment along the way.

By expanding its steadily growing marketplace into digital assets, CME Group could benefit from continual adoption of cryptocurrencies in the economy -- not just yielding its growth from how many investors want to buy or trade the digital currencies themselves at any given point in time. Over the long term, this could be an important area of growth for CME if digital assets like bitcoin and Ethereum gain momentum as a form of payment and blockchain technology finds other areas of use.

It would be a mistake to draw a hard comparison between the current phenomenon occurring with bitcoin prices and bubbles in the past (like, say, the tech bubble of the late 1990s). However, a current lack of mainstream adoption of digital assets gives me pause before investing directly in bitcoin and other cryptocurrencies. That isn't to say there isn't actual use of cryptocurrency in the economy -- and I think there's a very high chance adoption will continue to expand in the decades to come. But if you want to bet digital currency usefulness will increase over time, I think CME Group is a great place to start.

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What's the Best Cryptocurrency Stock? It Might Be CME Group - The Motley Fool

Bitcoin briefly tumbles below $30,000, falling 12% so far this week – CNBC

Bitcoin prices fell sharply amid the global sell-off in equities.

Luke MacGregor | Bloomberg | Getty Images

Bitcoin briefly tumbled below $30,000 on Thursday, as the cryptocurrency continued a slide from record levels.

The digital currency dropped as much as 17% to $29,246.77, wiping out about $100 billion from the market, according to data from CoinDesk. It's since pared losses slightly Friday, climbing back above $30,000 after trading beneath that level for over an hour.

Bitcoin was last trading down around 3% at a price of $31,668. It's fallen more than 12% so far this week, and is now down roughly 25% since peaking at $41,940 earlier this month.

The latest plunge, which comes without any clear reason, underscores the volatility of a currency that's become a popular investment for day traders in recent years even as it still has limited real-world application. Bitcoin rose over 300% in 2020, closing the year just above $29,000.

Ether, the digital currency that's second to bitcoin in total value, dropped even more on Thursday, declining 22% to $1,053.80. It's since recouped some of its losses, off 3% at a price of $1,204, but still 16% below its high from earlier this week, according to CoinDesk. Ether rose 471% last year.

President Joe Biden picked Gary Gensler, the former chairman of the Commodity Futures Trading Commission and an ex-Goldman Sachs banker, to be the next chair of the Securities and Exchange Commission. Gensler taught about cryptocurrencies at the Massachusetts Institute of Technology, starting in 2018.

However, Biden's choice of Treasury Secretary, formerFederal ReserveChair Janet Yellen, is a crypto skeptic who warned earlier this week that the government may need to "curtail" the use of virtual currencies to prevent illicit activity.

- CNBC's Ryan Browne contributed to this report.

WATCH: Crypto market sheds $100B as investors await Biden's regulatory approach

Nominations are open for the 2021 CNBC Disruptor 50, a list of private start-ups using breakthrough technology to become the next generation of great public companies. Submit by Friday, Feb. 12, at 3 pm EST.

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Bitcoin briefly tumbles below $30,000, falling 12% so far this week - CNBC

7 SPACs To Play The Rise Of Bitcoin, Cryptocurrency Stocks – Benzinga

The rise in the value of Bitcoin and media coverage of cryptocurrencies could make the industry ripe for startups going public in 2021. One of the methods for cryptocurrency companies to go public could be through a special purpose acquisition company.

Coinbase is considering a 2021 initial public offering, but could also be a candidate for a SPAC deal. Here is a look at some SPACs that could target cryptocurrency companies or have already announced a deal in the space.

GS Acquisition Holdings II (NYSE: GSAH): The Goldman Sachs (NYSE: GS) SPAC raised more than$700 million in its offering. The company has been linked to eToro after the cryptocurrency exchange talked to Goldman about a potential IPO. Goldman is also said to beexploring entering the cryptocurrency market soon, which could mean it pursues partial ownership of a cryptocurrency-related company via this SPAC.

Related Link: 10 SPACs Trading Under $11 For Investors To Consider In 2021

Burgundy Technology Acquisition Corp(NASDAQ: BTAQ): Led by the former CEO of Hewlett Packard and SAP SE (NYSE: SAP), Burgundy Technology Acquisitionis targeting technology or enterprise software. The company has mentioned Israel as an area of focus, which could make eToro a potential target company for this SPAC.

Lefteris Acquisition Corp (NASDAQ: LFTR): Targeting the fintech space, Lefteris Acquisitioncould merge with a cryptocurrency-focused company. The management team includes former management from TD Ameritrade and Etrade. Asiff Hirji, who is attached to the SPAC, was the Coinbase COO from December 2017 to June 2019. Hirji also works for blockchain startup Figure as its president since January 2020.

Ribbit Leap(NYSE: LEAP):This SPAC from Ribbit Capital is targeting a company in the fintech space. Ribbit Capital is an investor in several fintech companies yet to go public including Coinbase and Robinhood. The SPAC is led by two current Ribbit Capital executives and couldconsidera cryptocurrency company.

Far Peak Acquisition Corporation(NYSE: FPAC): Led by former New York Stock Exchange President Tom Farley, Far Peak Acquisitioncould be a SPAC that goes after a cryptocurrency company. The NYSE invested $75 million in Coinbase in 2015, which was the largest investment ever made in a Bitcoin company at the time. The NYSE also launched a Bitcoin Index that same year. Farley called Bitcoin a growth market then and could still be bullish on the industry.

VPC Impact Acquisition Holdings (NASDAQ: VIH): Shares of VPC Impact Acquisition Holdings surged on reports it was acquiring cryptocurrency exchange Bakkt. The companies formally announced the merger being done at a $2.1 billion valuation. Bakkt launched the first regulated Bitcoin futures exchange and first fully-regulated options contract for Bitcoin. Shareholders of the SPAC will own 8% of the new company. Intercontinental Exchange (NYSE: ICE) will own 65% of Bakkt after the merger.

Diginex (NASDAQ: EQOS): Former SPAC, now trading as Diginex, is the first full digital asset ecosystem comprising a cryptocurrency exchange to be listed on the Nasdaq. Diginex traded under $10 after the SPAC merger until December when it was seen as a Bitcoin play. The company offers a cryptocurrency exchange and OTC trading operation. Diginex is launching a derivative product with Bitcoin perpetual futures contract in January. The company is planning on expanding its operations from Europe and Asia to enter the United States market.

Disclosure: The author hasa long position in shares of GSAH andBTAQ.

Related Link (You Tube Video):What SPAC Could Take Coinbase Public?

2021 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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7 SPACs To Play The Rise Of Bitcoin, Cryptocurrency Stocks - Benzinga