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Artificial Intelligence the new season is out – Jordan Times

Artificial Intelligence (AI) is changing computers from calculators to thinking, decision-making systems.

After years of being a more or less theoretical topic, AI has become reality. Forget about Steven Spielbergs A.I. Artificial Intelligence movie from 2001 that was merely entertainment, though with valid examples and illustrations of AI. The technology now is very much in self-driving vehicles, in the analysis of our online shopping and browsing habits on social media, and of course in advanced banking applications, to name only a few. Indeed, the sky is the limit when it comes to AI.

I still keep a copy of the excellent Artificial Intelligence textbook by Elaine Rich from the University of Texas in Austin, that got me to start reading and learning about the subject years ago. As enlightening, good, accurate, and genuinely scientific as it was back then, it seems like it was written centuries ago, given all the concrete progress achieved since!

There are a few, notable landmarks along the fascinating journey with computers and digital high-technology that started in the late 1940s.

The first was the personal computers revolution of the 1980s. Then came the Internet (cabled and slow at the beginning), almost in parallel with the early portable computers that had little to do with the current crop of laptops in terms of processing power, storage capability and weight. Today wireless, fast Internet, with powerful and truly portable devices, combined with the IoT (Internet of Things), and social media, constitute the most recent, most significant landmark on the digital timeline. By any measure, AI is the next big thing, one that is already upon us.

AI is more about software than it is about hardware, though it is common today to talk about AI chips. It simply means that the circuitry is hard-programmed with AI algorithms, Whereas traditional programming processes data and generates reports, in a rather straightforward manner, to put is simply, AI can go further by analysing data huge amounts of it more deeply, in a more intelligent way, and come up with decisions or suggestions, somewhat like a human being would hence the expression.

Tesla electric cars constitute a good example of AI applications. As explained on analyticssteps.com: The Tesla system consists of two AI chips in order to support it for better road performance. Each of the AI chips makes a separate assessment of the traffic situation for guiding the car accordingly.

In banking, AI solutions are helping banks and credit lenders make smarter underwriting decisions by utilising a variety of factors that more accurately assess traditionally underserved borrowers, like millennials, in the credit decision making process. (builtin.com/artificial-intelligence).

Just like old, traditional computing systems did, AI is now is raising a few questions, on the social side of things. The main one being, of course: To what extent will AI replace human work and negatively impact on unemployment?

Instead of trying desperately to answer this otherwise perfectly legitimate and justified question, one can be more pragmatic and think of all that AI can bring. If there is only one major advantage that AI will bring when it comes to smart self-driving cars, it will be a significant drop in road accidents and casualties. This alone is a priceless plus.

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Artificial Intelligence the new season is out - Jordan Times

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Europe Artificial Intelligence in Healthcare Diagnosis Markets, 2019-2020 & 2027 – AI in Epidemic Outbreak Prediction and Response Gaining…

DUBLIN, Nov. 30, 2020 /PRNewswire/ -- The "Europe Artificial Intelligence in Healthcare Diagnosis Market Forecast to 2027 - COVID-19 Impact and Regional Analysis by Diagnostic Tool; Application; End User; Service; and Country" report has been added to ResearchAndMarkets.com's offering.

The Europe Radiology Information Systems (RIS) market is projected to reach from US$ 315.32 million in 2019 to US$ 574.44 million by 2027. This represents a CAGR of 8.0% from 2020 to 2027.

The growth of the Europe Radiology Information Systems (RIS) market is primarily attributed to advancements in diagnostic imaging solutions coupled with rising number of diagnostic procedures, and increasing partnerships and collaborations are driving the adoption of radiology information systems.

The healthcare industry has always been a leader in innovation. The constant mutating of diseases and viruses makes it difficult to stay ahead of the curve. However, with the help of artificial intelligence and machine learning algorithms, it continues to advance, creating new treatments and helping people live longer and healthier. Medical imaging is a vital part of medical care and treatment across the globe. Rising awareness regarding early diagnosis of diseases has led to an increase in the total number of diagnostic tests procedures performed around the world.

For instance, as per NHS England report, in 2018, ~42.7 million imaging tests were performed in England, an increase of 1.4% than the previous year. X-ray was the most performed method with 22.9 million procedures, followed by diagnostic ultrasonography (9.51 million), CT Scan (5.15 million), and magnetic resonance imaging (3.46 million).

In 2019, the Integrated RIS segment held a considerable share of the for Europe Radiology Information Systems (RIS) market, by the product. This segment is also predicted to dominate the market by 2027 owing to rising demand for AI based application for radiology.

Key Topics Covered:

1. Introduction

1.1 Scope of the Study

1.2 Report Guidance

1.3 Market Segmentation

2. Europe Artificial Intelligence in Healthcare Diagnosis Market - Key Takeaways

3. Research Methodology

3.1 Coverage

3.2 Secondary Research

3.3 Primary Research

4. Europe Artificial Intelligence in Healthcare Diagnosis Market - Market Landscape

4.1 Overview

4.2 PEST Analysis

4.3 Expert Opinion

5. Europe Artificial Intelligence in Healthcare Diagnosis Market - Key Market Dynamics

5.1 Market Drivers

5.1.1 Rising Adoption of Artificial Intelligence (AI) in Disease Identification and Diagnosis

5.1.2 Increasing Investment in AI Healthcare Start ups

5.2 Market Restraints

5.2.1 Lack of skilled AI Workforce and Ambiguous Regulatory Guidelines for Medical Software

5.3 Market Opportunities

5.3.1 Increasing Potential in Emerging Economies

5.4 Future Trends

5.4.1 AI in Epidemic Outbreak Prediction and Response

5.5 Impact analysis

6. Europe Artificial Intelligence in Healthcare Diagnosis Market - By Diagnostic Tool

6.1 Overview

6.2 Europe Artificial Intelligence in Healthcare Diagnosis Market Revenue Share, by Diagnostic Tool (2019 and 2027)

6.3 Medical Imaging Tool

6.3.1 Overview

6.3.2 Medical Imaging Tools: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

6.4 Automated Detection System

6.4.1 Overview

6.4.2 Automated Detection System: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

6.5 Others

6.5.1 Overview

6.5.2 Others: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

7. Europe Artificial Intelligence in Healthcare Diagnosis Market Analysis, by Application

7.1 Overview

7.2 Artificial Intelligence in Healthcare Diagnosis Market Revenue Share, by Application (2019 and 2027)

7.3 Eye Care

7.3.1 Overview

7.3.2 Eye Care: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

7.4 Oncology

7.5 Radiology

7.6 Cardiovascular

8. Europe Artificial Intelligence in Healthcare Diagnosis Market - By End-User

8.1 Overview

8.2 Artificial Intelligence in Healthcare Diagnosis Market, by End-User, 2019 and 2027 (%)

8.3 Hospital and Clinic

8.3.1 Overview

8.3.2 Hospital and Clinic: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

8.4 Diagnostic Laboratory

8.5 Home Care

8.5.1 Overview

8.5.2 Home Care: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

8.5.3 Doctors

8.5.4 Patients

9. Europe Artificial Intelligence in Healthcare Diagnosis Market - By Service

9.1 Overview

9.2 Artificial Intelligence in Healthcare Diagnosis Market, by Service, 2019 and 2027 (%)

9.3 Tele-Consultation

9.3.1 Overview

9.3.2 Tele-Consultation: Artificial Intelligence in Healthcare Diagnosis Market - Revenue and Forecast to 2027 (US$ Million)

9.4 Tele-Monitoring

9.5 Others

10. Europe Artificial Intelligence in Healthcare Diagnosis Market - Country Analysis

11. Impact Of COVID-19 Pandemic on Europe Artificial Intelligence in Healthcare Diagnosis Market

11.1 Europe: Impact Assessment Of COVID-19 Pandemic

12. Company Profiles

12.1 Key Facts

12.2 Business Description

12.3 Products and Services

12.4 Financial Overview

12.5 SWOT Analysis

12.6 Key Developments

For more information about this report visit https://www.researchandmarkets.com/r/dj2zk7

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1907 Fax (outside U.S.): +353-1-481-1716

SOURCE Research and Markets

http://www.researchandmarkets.com

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Europe Artificial Intelligence in Healthcare Diagnosis Markets, 2019-2020 & 2027 - AI in Epidemic Outbreak Prediction and Response Gaining...

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Artificial intelligence solved a protein puzzle; why it matters – Business Standard

Theres long been speculation if artificial intelligence (AI) could perform scientific tasks beyond the understanding of human beings. A paper in Nature indicates this may now have happened. Since 1994, bio-scientists have held a biennial contest called CASP (Critical Assessment of Structure Prediction).

Teams use computers to predict the ways in which given proteins will fold. The 100 or so problems presented at each CASP are those of proteins where the structure has already been determined, but not yet made public. The participating computer programs are judged on the basis of ...

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First Published: Thu, December 03 2020. 06:08 IST

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Artificial intelligence solved a protein puzzle; why it matters - Business Standard

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Drones and artificial intelligence show promise for conservation of farmland bird nests – Jill Lopez

Farmland bird species are declining over most of Europe. Birds breeding on the ground, are particularly vulnerable because they are exposed to mechanical operations, like ploughing and sowing, which take place in spring and often accidentally destroy nests.

Locating nests on the ground is challenging for the human eye, and highly time-consuming

Researchers flew a drone carrying a thermal camera over agricultural fields to record images. These were then fed to an artificial intelligence algorithm capable of accurately identifying nests, a first step to aid their protection. Researchers tested the system in Southern Finland near University of Helsinki's Lammi Biological Station, using wild nests with eggs of the Lapwing Vanellus vanellus.

"We have been involved in conservation of ground-nesting farmland birds for years, and realized how difficult it is to locate nests on the ground. At least at high latitudes, the temperature of these nests is typically higher than that of the surrounding environment. Hence, we thought that thermal cameras could assist. A small pilot study indicated that thermal vision is hampered by vegetation and objects on the ground. Therefore to make this an efficient system, we thought that the camera could be flown using a drone, and artificial intelligence could help to analyse the resulting thermal images. We show that this works. However, the system performed best under cloudy and cold conditions, and on even grounds," says Andrea Santangeli, an Academy of Finland fellow at the Finnish Museum of Natural History Luomus, University of Helsinki.

Drone technology becoming rapidly popular in conservation

It is possible to map in near real-time the spread of diseases on crops in agricultural areas using drones with various sensors. The latter is an integral part of precision agriculture, a new way of crop production that makes large use of drone technology to monitor crops and maximize production efficiency.

Studies like this one can help pave the way to integrate bird nest detection within the drone borne sensors used in precision agriculture, and automate a system for saving those nests.

"The conservation community must be ready to embrace technology and work across disciplines and sectors in order to seek efficient solutions. This is already happening, with drone technology becoming rapidly popular in conservation. A next and most challenging step will be to test our system in different environments and with different species. Our auspice is that this system will be, one day, fully integrated into agricultural practices, so that detecting and saving nests from mechanical destruction will become a fully automated part of food production," says Andrea Santangeli.

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Drones and artificial intelligence show promise for conservation of farmland bird nests - Jill Lopez

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NWA funding for taking quantum technology to the public Bits&Chips – Bits&Chips

1 December

The Quantum Inspire consortium has received a 4.5 million euro grant from the Dutch Research Council (NWO) to bring quantum technology closer to potential users. We hope that different people from all parts of society will interact with Quantum Inspire, so that we can work together to figure out the full range of possibilities offered to our society by quantum computing including which societal challenges it will be able to solve, said Lieven Vandersypen, coordinator of the grant application and research director of Qutech.

Quantum technology is expected to find applications in many different fields, such as energy, food supply, security and health care. Being an emerging technology, however, not much people in these fields are actively investigating its potential yet. And even if they wanted to, where would they go? Getting access to a quantum computer is not exactly easy.

This why Quantum Inspire was started: people can run their own quantum algorithms on Quantum Inspires simulators or hardware backends and experience the possibilities of quantum computing. Qutech launched a first version of Quantum Inspire in April 2020, and the grant will allow the consortium to develop it further.

Quantum Inspires capital infusion is funded by the Dutch National Research Agenda (NWA) program Research along routes by consortia (NWA-ORC). In total, NWO distributed 93 million euros over 21 interdisciplinary research projects.

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01 Communique to Present at the Benzinga Global Small Cap Conference on December 8 – IT News Online

ACCESSWIRE2020-11-30

TORONTO, ON / ACCESSWIRE /November 30, 2020 /01 Communique Laboratory Inc. (TSXV:ONE)(OTCQB:OONEF) (the "Company") one of the first-to-market, enterprise level cybersecurity providers for the quantum computing era today announced that the Company will be presenting at the upcoming virtual Benzinga Global Small Cap Conferenceon Tuesday, December 8th at 12:00PM ET and will also be hosting virtual one-to-one investor meetings with management. Complimentary investor registration and virtual one-to-one meeting requests can be accessed through the conference link above.

The inaugural Benzinga Global Small Cap Conference is planned for December 8th and 9th in an entirely virtual setting. Designed to bridge the gap between publicly traded companies, investors and traders, the Conference will enable small-cap companies to network and communicate with a broad and diverse investor base.

About IronCAP and IronCAP X:

IronCAP is at the forefront of the cyber security market and is designed to protect our customers from cyber-attacks. IronCAP's patent-pending cryptographic system is designed to protect users and enterprises against the ever-evolving illegitimate and malicious means of gaining access to their data today as well as in the future with the introduction of powerful quantum computers. Based on improved Goppa code-based encryption it is designed to be faster and more secure than current standards. It operates on conventional computer systems, so users are protected today while being secure enough to safeguard against future attacks from the world of quantum computers. An IronCAP API is available which allows vendors of a wide variety of vertical applications to easily transform their products to ensure their customers are safe from cyber-attacks today and from quantum computers in the future.

IronCAP X, a new cybersecurity product for email/file encryption, incorporating our patent-pending technology was made available for commercial use on April 23, 2020. The new product has two major differentiations from what is in the market today. Firstly, many offerings in today's market store users secured emails on email-servers for recipients to read, making email-servers a central target of cyber-attack. IronCAP X, on the other hand, delivers each encrypted message end-to-end to the recipients such that only the intended recipients can decrypt and read the message. Consumers' individual messages are protected, eliminating the hackers' incentive to attack email servers of email providers. Secondly, powered by our patent-pending IronCAP technology, we believe IronCAP Xis the world's first quantum-safe end-to-end email encryption system; secured against cyberattacks from today's systems and from quantum computers in the future. Consumers and businesses using our new products will have tomorrow's cybersecurity today.

About 01 Communique

Established in 1992, 01 Communique (TSX-V: ONE; OTCQB: OONEF) has always been at the forefront of technology. The Company's cyber security business unit focuses on post-quantum cybersecurity with the development of its IronCAP technology. IronCAP's patent-pending cryptographic system is an advanced Goppa code-based post-quantum cryptographic technology that can be implemented on classical computer systems as we know them today while at the same time can also safeguard against attacks in the future post-quantum world of computing. The Company's remote access business unit provides its customers with a suite of secure remote access services and products under its I'm InTouch and I'm OnCall product offerings. The remote access offerings are protected in the U.S.A. by its patents #6,928,479 / #6,938,076 / #8,234,701; in Canada by its patents #2,309,398 / #2,524,039 and in Japan by its patent #4,875,094. For more information, visit the Company's web site at http://www.ironcap.ca and http://www.01com.com.

Cautionary Note Regarding Forward-looking Statements

Certain statements in this news release may constitute "forward-looking" statements which involve known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements of the Company, or industry results, to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. When used in this news release, such statements use such words as "may", "will", "expect", "believe", "anticipate", "plan", "intend", "are confident" and other similar terminology. Such statements include statements regarding the business prospects of IronCAP X, the future of quantum computers and their impact on the Company's product offering, the functionality of the Company's products and the intended product lines for the Company's technology. These statements reflect current expectations regarding future events and operating performance and speak only as of the date of this news release. Forward-looking statements involve significant risks and uncertainties, should not be read as guarantees of future performance or results, and will not necessarily be accurate indications of whether or not such results will be achieved. A number of factors could cause actual results to differ materially from the matters discussed in the forward-looking statements, including, but not limited to, a delay in the anticipated adoption of quantum computers and a corresponding delay in Q day, the ability for the Company to generate sales, and gain adoption of, IronCAP X, the ability of the Company to raise financing to pursue its business plan, competing products that provide a superior product, competitors with greater resources and the factors discussed under "Risk and Uncertainties" in the company's Management`s Discussion and Analysis document filed on SEDAR. Although the forward-looking statements contained in this news release are based upon what management of the Company believes are reasonable assumptions, the company cannot assure investors that actual results will be consistent with these forward-looking statements. These forward-looking statements are made as of the date of this news release, and the company assumes no obligation to update or revise them to reflect new events or circumstances.

INVESTOR CONTACT:

Brian StringerChief Financial Officer01 Communique(905) 795-2888 x204Brian.stringer@01com.com

SOURCE:01 Communique Laboratory, Inc.

View source version on accesswire.com: https://www.accesswire.com/618717/01-Communique-to-Present-at-the-Benzinga-Global-Small-Cap-Conference-on-December-8

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01 Communique to Present at the Benzinga Global Small Cap Conference on December 8 - IT News Online

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Quantum Computing Market : Analysis and In-depth Study on Size Trends, and Regional Forecast – Cheshire Media

Kenneth Research has published a detailed report on Quantum Computing Market which has been categorized by market size, growth indicators and encompasses detailed market analysis on macro trends and region-wise growth in North America, Latin America, Europe, Asia-Pacific and Middle East & Africa region. The report also includes the challenges that are affecting the growth of the industry and offers strategic evaluation that is required to boost the growth of the market over the period of 2019-2026.

The report covers the forecast and analysis of the Quantum Computing Market on a global and regional level. The study provides historical data from 2015 to 2019 along with a forecast from 2019-2026 based on revenue (USD Million). In 2018, the worldwide GDP stood at USD 84,740.3 Billion as compared to the GDP of USD 80,144.5 Billion in 2017, marked a growth of 5.73% in 2018 over previous year according to the data quoted by International Monetary Fund. This is likely to impel the growth of Quantum Computing Marketover the period 2019-2026.

The Final Report will cover the impact analysis of COVID-19 on this industry.

Request To Download Sample of This Strategic Report:https://www.kennethresearch.com/sample-request-10307113The report provides a unique tool for evaluating the Market, highlighting opportunities, and supporting strategic and tactical decision-making. This report recognizes that in this rapidly-evolving and competitive environment, up-to-date marketing information is essential to monitor performance and make critical decisions for growth and profitability. It provides information on trends and developments, and focuses on markets capacities and on the changing structure of the Quantum Computing.

The quantum annealing category held the largest share under the technology segment in 2019. This is attributed to successful overcoming of physical challenges to develop this technology and further incorporated in bigger systems. The BFSI category held the largest share in the quantum computing market in 2019. This is owing to the fact that the industry is growing positively across the globe, and large banks are focusing on investing in this potential technology that can enable them to streamline their business processes, along with unbeatable levels of security

Automotive to lead quantum computing market for consulting solutions during forecast periodAmong the end-user industries considered, space and defense is the largest contributor to the overall quantum computing market, and it is expected to account for a maximum share of the market in 2019. The need for secure communications and data transfer, with the demand in faster data operations, is expected to boost the demand for quantum computing consulting solutions in this industry. The market for the automotive industry is expected to grow at the highest CAGR

Quantum computing can best be defined as the use of the attributes and principles of quantum mechanics to perform calculations and solve problems. The global market for quantum computing is being driven largely by the desire to increase the capability of modeling and simulating complex data, improve the efficiency or optimization of systems or processes, and solve problems with more precision. A quantum system can process and analyze all data simultaneously and then return the best solution, along with thousands of close alternatives all within microseconds, according to a new report from Tractica.

2018 was a growth year for the market, as businesses from the BFSI sector showed tremendous interest in quantum computing and the trend is likely to continue in 2019 and beyond. Moreover, the public sector presents significant growth opportunity for the market. In the forthcoming years, the application opportunities for quantum computing is expected to expand further, which may lead to a higher commercial interest in the technology.

Market SegmentationThe report focuses on the following end-user sectors and applications for quantum computing:By Based on offering*Consulting solutions*Systems

By End-user sectors*Government.*Academic.*Healthcare.*Military.*Geology/energy.*Information technology.*Transport/logistics.*Finance/economics.*Meteorology.*Chemicals.

By Applications*Basic research.*Quantum simulation.*Optimization problems.*Sampling.

By Regional AnanlysisNorth America*U.S.*Canada

Europe*Germany*UK*France*Italy*Spain*Belgium*Russia*Netherlands*Rest of Europe

Asia-Pacific*China*India*Japan*Korea*Singapore*Malaysia*Indonesia*Thailand*Philippines*Rest of Asia-Pacific

Latin America*Brazil*Mexico*Argentina*Rest of LATAM

Middle East & Africa*UAE*Saudi Arabia*South Africa*Rest of MEA

The quantum computing market is highly competitive with high strategic stakes and product differentiation. Some of the key market players include International Business Machines (IBM) Corporation, Telstra Corporation Limited, IonQ Inc., Silicon Quantum Computing, Huawei Investment & Holding Co. Ltd., Alphabet Inc., Rigetti & Co Inc., Microsoft Corporation, D-Wave Systems Inc., Zapata Computing Inc., and Intel Corporation.

Click Here to Download Sample Report >>https://www.kennethresearch.com/sample-request-10307113

Competitive Analysis:The Quantum Computing Market report examines competitive scenario by analyzing key players in the market. The company profiling of leading market players is included in this report with Porters five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.

About Kenneth Research:

Kenneth Research is a reselling agency which focuses on multi-client market research database. The primary goal of the agency is to help industry professionals including various individuals and organizations gain an extra edge of competitiveness and help them identify the market trends and scope. The quality reports provided by the agency aims to make decision making easier for industry professionals and take firm decisions which helps them to form strategies after complete assessment of the market. Some of the industries under focus include healthcare & pharmaceuticals, ICT & Telecom, automotive and transportation, energy and power, chemicals, FMCG, food and beverages, aerospace and defense and others. Kenneth Research also focuses on strategic business consultancy services and offers a single platform for the best industry market research reports.

Contact UsKenneth ResearchEmail: [emailprotected]Phone: +1 313 462 1072Connector MarketOffshore Support Vessels MarketAtorvastatin MarketPool Alarms MarketGlutathione MarketAnalog-to-Digital Converters MarketWrist Dive Computers MarketSugar Sphere MarketRadio Modem MarketGolf GPS Devices MarketFiber Optics Market

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Quantum Computing Market : Analysis and In-depth Study on Size Trends, and Regional Forecast - Cheshire Media

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Bitcoin Price Targets by Analysts for 2021 and Beyond – Barron’s

Text size

Bitcoin hit another new all-time high Tuesday, touching $19,920 in the morning before slipping to the low $19,000s later in the day. Analysts and investors have been issuing new price targets for the cryptocurrency, often predicting that it will skyrocket to many multiples of the current price.

But the underpinning of those estimates is still hazyBitcoin produces no cash flows and is hardly used for transactions. Its a software that allows people to transact, and is controlled by no single entitythe software operates on computers set up around the world.

Although Bitcoin still sometimes moves as much 5% in an hour, it can be hard to pinpoint exactly why.

Analysts used to claim the price had something to do with the difficulty of mining Bitcointhe cost of the electricity and equipment it takes to complete the equations necessary to create new Bitcoins. Given the assets volatility and unpredictability, however, few still cite this metric.

New metrics are emerging. BTIG analyst Julian Emanuel analyzed Bitcoins price in part by comparing it to the Nasdaq 100 (NDX), which first peaked in the dot-com bubble and then took years to reach that peak again. With that in mind, he thinks its feasible the price goes to $50,000 by the end of next year.

It took NDX 14 years to rise above its parabolic blowoff top, then 6 years to rise a further 150%, he wrote. Bitcoin appears poised to exceed its 2017 parabolic blowoff top in a mere 3 years. Should Bitcoins speed of ascent keep pace with the past three years and the degree of the rally approximate that of NDX, $50,000 per Bitcoin is a reasonable year end 2021 Price Target.

Tyler and Cameron Winklevoss, large Bitcoin holders who founded cryptocurrency exchange and custodian Gemini, recently predicted that the price could go to $500,000 one day on the theory that it eventually replaces gold, which is now worth over $10 trillion.

Others also see the total value of Bitcoin one day rising into the trillions, from its current levels around $350 billion. Michael Saylor, CEO of software firm Microstrategy (MSTR) and a recent Bitcoin bull, said in an interview with Barrons that Bitcoin solves a $250 trillion problem -- thats the total value of fiat currency in the world, which he thinks is being devalued rapidly because governments are printing money.

If Bitcoin ends up becoming the trusted financial mechanism for solving that devaluation problem it could be worth half of that $250 trillion, he contends. If its total value was $125 trillion, each Bitcoin would be worth about $6 million. I think its possible, Saylor said.

Justin dAnethan, a sales manager at digital asset firm Diginex, said he doesnt like to put a price target on Bitcoin, because he believes the price is simply based on public sentiment about the value of having a decentralized, scarce digital asset. Gold is the closest corollary. If we take that approach, the potential for BTC is huge, not only because there is plenty of room to catch up to golds total value, but because it could outgrow it, he wrote in an email to Barrons.

That is why valuing Bitcoin can feel like a circular argument. Its worth more because people think its worth moreand even discussing such big numbers can egg investors on. That, of course, makes it dangerous too. Reversals in sentiment happen fast. And its why many fund managers continue to tell clients that there is a number they also need to consider when looking at Bitcoin: $0. It isnt inconceivable that their investment could be completely wiped out, either because of government action or a catastrophic software issue like a hack (although attempts to hack Bitcoin so far have been unsuccessful). Unlike a real asset, there would be nothing left to sell for scrap.

Write to Avi Salzman at avi.salzman@barrons.com

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Why Ethereum and Bitcoin Are Very Different Investments – CoinDesk – CoinDesk

Those new to crypto, such as the institutional investors recently buying into bitcoins digital gold narrative, might now be looking around for the next big thing.

With the long-anticipated arrival of the Ethereum 2.0 upgrade on Dec. 1, that could be the networks native token, ether. But analysts say ether should be judged on its own merits and not as a bitcoin replacement.

Ive always thought this digital asset space is huge and its not just bitcoin because there are going to be different applications for different things, Raoul Pal, CEO and co-founder of financial media group Real Vision, said in Real Visions documentary Ethereum An Investigation, which was released on Nov. 30. I think of the two [bitcoin and ether] as having a very nice combined asset allocation.

For Pal, an early bitcoin investor, the rationale seems even more plausible these days: As bitcoins price hits a new all-time high, the number one cryptocurrency by market capitalization is now more expensive and thus potentially a riskier bet for new investors.

It can be expected investors are looking for a new opportunity in crypto at affordable prices. Given that ether is trading roughly 59% below its all-time high of $1,432.88, it is tempting to believe theres a bargain to be had. Whats more, the Ethereum 2.0 upgrade to increase the networks scalability, security and energy efficiency has generated a lot of hype.

However, at least for now, analysts and traders who spoke with CoinDesk dont think ether will replace the FOMO over bitcoin.

For institutional investors, they are buying BTC for the digital gold narrative, Ryan Watkins, senior research analyst at Messari told CoinDesk. ETH just isnt in that conversation yet.

Ether benefits from spillover and likely has more conversation around it from crypto-natives, Vishal Shah founder of derivatives exchange Alpha5 told CoinDesk. For the uninitiated, [it is] hard to see how bitcoin is not the sole on-ramp.

Weakening correlation between bitcoin and ether

Some analysts say that as more institutions pour money into bitcoin and push up its price, ether and other cryptocurrencies will gradually decouple from bitcoin.

Indeed, while bitcoin this week logged a record high price, ether isnt even close to its all-time high of $1,448.18. Data from CoinDesk shows the 90-day correlation coefficient between the prices of the top two cryptocurrencies, while still strong, has gradually weakened a bit since the summer from as high as 0.93 to nearly 0.7 at the beginning of December.

The thing about correlation is it can disappear at any time, Ashwath Balakrishnan, research analyst at digital asset research firm Delphi Digital, told CoinDesk. In that case, you want to understandthe core fundamentals of what you hold because if you hold ether as a proxy [to your] bitcoin exposure, and [when] prices decouple, you are now exposed to something very different.

Bitcoin has been used by many investors this year as a hedge against a drop in the purchasing power of U.S. dollars. Ether is considered the currency of the world computer, which aims to build an ecosystem of decentralized applications, according to Balakrishnan.

The close historical correlation between bitcoin and other cryptocurrencies may be due to how tiny the digital-asset ecosystem is relative to the global economy. The total market capitalization of crypto assets is estimated at $562 billion, a mere 1.7% of the S&P 500 stock indexs combined market cap of $32.2 trillion. With almost every crypto asset built on different fundamentals, non-bitcoin cryptocurrencies may be trending with bitcoin prices simply because the nascent market is still so small and insular.

Correlation data doesnt tell the whole story. Prices may move in tandem but the degree to which that happens is another matter. When the explosive decentralized finance (DeFi) boom hit the market during the summer, ethers price rallied to its highest in more than two years because most DeFi projects are built on the Ethereum blockchain. At the time, bitcoin was struggling to break a similar two-year record.

What Ethereum 2.0 could mean for investors

The market will have to wait and see what kind of real impact the ongoing Ethereum upgrade could have on its native currency because the final phase of the process is scheduled to be completed in 2023. But a major fundamental upgrade on the network underpinning ether could lead its price to move on its own fundamentals, instead of merely following bitcoins price.

The heart of ETH 2.0, which makes the entire system possible, is ether, according to a report by Messari. ETH will not only be Ethereums native store of value asset and fuel for transactions, but will also be Ethereums ultimate source of security from its role in the [proof-of-stake] system.

Thus, while bitcoin can be seen as somewhere between a store of value and a commodity on the asset superclass triangle, ether could ultimately become the first asset to be a combination of all three classes of assets: capital assets, commodities and stores of value.

When ethers price starts to be driven by its own catalysts, holding it as a proxy to having BTC exposure will not work as expected, Balakrishnan added.

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Bitcoin Sees Record Number of Active Users as Price Almost Hits $20K – CoinDesk – CoinDesk

As bitcoin continues to set new price highs, its network is also seeing record-breaking user activity.

As of Tuesday, there were 432,451 active entities wallet clusters controlled by a single participant that sent or received funds in a 24-hour period. Thats an all-time high, according to data provided by blockchain analytics firm Glassnode. The previous peak of 410,972 was registered on Dec. 9, 2017.

The number of active entities has been increasing steadily since the halving and signifies a large increase in network adoption by participants, said Matthew Dibb, co-founder of Stack, a provider of cryptocurrency trackers and index funds.

Bitcoin underwent its third mining reward halving on May 11 of this year. Since then, the number of active entities has increased by 70% and bitcoins price has more than doubled to nearly $20,000.

The cryptocurrency printed a record high of $19,920,53 on Tuesday before falling back. Bitcoin was trading around $19,130 at time of writing, representing a 1.7% gain on the day.

While bitcoins price gains have been relatively sharp over the past eight weeks, the number of active entities has charted relatively steady growth. While the metric has breached highs not seen since 2017, it has done so gradually without bubble-like growth, Dibb told CoinDesk. We take comfort in this when correlating address clusters with forward-looking price action.

Analysts consider increased activity as a bullish sign. When theres greater usage, theres more demand for the cryptocurrency, and that drives the price up, Philip Gradwell, chief economist at blockchain intelligence firm Chainalysis, previouslytold CoinDesk.

The number of active entities rose to multi-month highs in early September, despite the multi-week sideways price action in the range of $10,000 to $12,500, signaling a continued increase in adoption and warning of a price breakout. The rise in activity to record highs suggests bitcoins rally is sustainable.

Our expectation is that this metric will continue to rapidly outpace previous highs as bitcoin breaches through $20,000, Dibb said.

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