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Why the Worlds Most Used Cryptocurrency isnt Bitcoin – NewsLogical

While Bitcoin may have achieved dominance of the cryptospace, indications have emerged that it may not be the worlds most used cryptocurrency. Even though data from the cryptospace is hard to get and for the most part opaque, recent data from sources have shown that Tether has the highest figures in terms of volume.

While Bitcoins total volume stands at around $28 Billion, while that of Tether is at around $34 Billion. According to coinmarketcap.com, the specific volume of Bitcoin stood at $28, 406, 752, 836 while Tethers stood at $34, 656, 168,080.

In terms of market capitalization though, Tether stands at $4,620,393,897 while that of Bitcoin is $146,552,636,036. This inverse relationship between trading volume and market capitalization is caused by a few factors.

Firstly, Tether is a stablecoin whose value is fixed to a specific set of assets (the US dollar and dollar-denominated assets). This allows for an increase in stablecoins and their use-case scenarios to become virtually unlimited. Due to the value peg as a digital asset, Tether and other stablecoins are also used in many cases in place of fiat currencies.

This occurs a lot of time when cryptocurrency exchanges hold assets in values of fiat currencies. In order to overcome regulatory hurdles such cryptocurrency exchanges usually use stablecoins instead of pure fiat currencies. This also makes Tether attractive as a stablecoin.

Although Tether and its parent company have had run-ins with regulators, it still has increased in popularity since the concept was first espoused about six years ago.

Since then, the cryptocurrency token has grown in leaps and bounds. Though in the past the cryptocurrency has been accused of market manipulation, most members of the cryptospace still tend to trust the cryptocurrency.

This has led many people to indicate that the cryptocurrency is being actively manipulated. While the exact process by which the cryptocurrency is issued and how its reserves are generated, the worlds highest cryptocurrency by volume has also made many to become skeptical of the cryptospace for now.

This also indicates that a lot more needs to be done as far as transparency is concerned. Public utility digital assets such as Bitcoin, Ethereum and others have a threshold when it comes to transparency.

Private issues of digital cryptocurrencies, however, have their own set of rules. This has created numerous murky circumstances. They range from the quasi-legal to outright frauds.

The governmental response hasnt been easy as well. Nation-states have restricted the use of certain types of digital assets to outrightly banning them.

In certain jurisdictions, all forms of cryptocurrency tokens are banned. This has also on the other side spurred some success and positive responses for the cryptospace.

Chinese President Xi Jinping had at the last politburo had encouraged all Chinese citizens to seize the opportunity that Blockchain technology offered. This was followed up by the passing into law of the Blockchain laws. Within a few months, the Worlds first blockchain public infrastructure (the blockchain service network) will run throughout China.

This will open up new frontiers of adoption for the cryptospace. The Chinese form almost a quarter of the Worlds population. New vistas of adoption are surely bound to occur on Chinese soil. As for stabecoins, the issuance of the Central Bank Digital currency will also make the Chinese to become the first in the world to do so.

Hence, Tethers volume advantage may be challenged in the next couple of months by a digital Renminbi.

This, of course, will also start a global conversation on the role of cryptocurrencies in humanitys future. This is how global adoption starts.

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Jeffrey Epstein scandal: MIT professor put on leave, he ‘failed to inform’ college that sex offender made donations – CNBC

Jeffrey Epstein in 2004.

Rick Friedman | Corbis News | Getty Images

The Massachusetts Institute of Technology said Friday that it had placed one of its tenured professors on paid administrative leave after finding that he "purposefully failed to inform MIT" that convicted sex offender Jeffrey Epstein was the source of two donations in 2012 to support the professor's research, and that the professor got a $60,000 personal gift from Epstein.

A scathing report released by MIT also found that the decision by three administrators to accept donations from Epstein, who pleaded guilty to sex crimes in Florida in 2008 one of which involved a minor girl "was the result of collective and serious errors in judgment that resulted in serious damage to the MIT community."

The report noted that even as its findings have been made public, "MIT is still without a clear and comprehensive gift policy or a process to properly vet donors." However, the university has begun to develop such a process.

Epstein, a former friend of Presidents Donald Trump and Bill Clinton, donated $850,000 to MIT from 2002 through 2017 in 10 separate gifts, the report said.

That was $50,000 more than the amount MIT has previously reported to have received from Epstein.

"The earliest gift was $100,000 given in 2002 to support the research of the late Professor Marvin Minsky, who died in 2016," MIT said as it released the report, which comes after four months of investigation of Epstein's ties to MIT conducted by the law firm Goodwin Procter.

"The remaining nine donations, all made after Epstein's 2008 conviction, included $525,000 to the Media Lab and $225,000 to" mechanical engineering professor Seth Lloyd, the report said.

The report also found that, "Unbeknownst to any members of MIT's senior leadership ... Epstein visited MIT nine times between 2013 and 2017."

"The fact-finding reveals that these visits and all post-conviction gifts from Epstein were driven by either former Media Lab director Joi Ito or professor of mechanical engineering Seth Lloyd, and not by the MIT administration or the Office of Resource Development."

Ito resigned last year after revelations about Epstein's donations to the Media Lab.

Lloyd received two donations of $50,000 in 2012, and the remaining $125,000 in 2017, according to the report.

"Epstein viewed the 2012 gifts as a trial balloon to test MIT's willingness to accept donations following his conviction" in Florida, MIT said.

"Professor Lloyd knew that donations from Epstein would be controversial and that MIT might reject them," MIT said.

"We conclude that, in concert with Epstein, he purposefully decided not to alert the Institute to Epstein's criminal record, choosing instead to allow mid-level administrators to process the donations without any formal discussion or diligence concerning Epstein."

Seth Lloyd is a professor of mechanical engineering and physics at the Massachusetts Institute of Technology.

Photo:Dmitry Rozhkov | Wikipedia CC

Lloyd was put on paid leave after it was found that he "purposefully failed to" tell MIT that Epstein was the source of the two earliest donations to him.

The report also found that Lloyd had "received a personal gift of $60,000 from Epstein in 2005 or 2006, which he acknowledged was deposited into a personal bank account and not reported to MIT," the university said in a press statement.

Lloyd is an influential thinker in the field of quantum mechanical engineering.

Educated at Harvard College and Cambridge University in England, Lloyd was the first person to propose a "technologically feasible design for a quantum computer," according to his resume. His 2006 book, "Programming the Universe," argues that the universe is a giant quantum computer calculating its own evolution.

University President L. Rafael Reif had not been aware that MIT was accepting donations from Epstein, who killed himself in a Manhattan jail in August after being arrested the prior month on federal child sex trafficking charges, according to the report.

"But the review finds that three MIT vice presidents learned of Epstein's donations to the MIT Media Lab, and his status as a convicted sex offender, in 2013," the university said in a prepared statement.

"In the absence of any MIT policy regarding controversial gifts, Epstein's subsequent gifts to the Institute were approved under an informal framework developed by the three administrators, R. Gregory Morgan, Jeffrey Newton, and Israel Ruiz."

"Since MIT had no policy or processes for handling controversial donors in place at the time, the decision to accept Epstein's post-conviction donations cannot be judged to be a policy violation," the report said.

"But it is clear that the decision was the result of collective and significant errors in judgment that resulted in serious damage to the MIT community."

Reif, in a letter addressed to the university's community, said, "Today's findings present disturbing new information about Jeffrey Epstein's connections with individuals at MIT: how extensive those ties were and how long they continued. This includes the decision by a lab director to bring this Level 3 sex offender to campus repeatedly."

"That it was possible for Epstein to have so many opportunities to interact with members of our community is distressing and unacceptable; I cannot imagine how painful it must be for survivors of sexual assault and abuse," Reif said.

"Clearly, we must establish policy guardrails to prevent this from happening again."

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The teenager that’s at CES to network – Yahoo Singapore News

It's not that Alishba Imran isn't impressed by her tour of Zappos HQ, the Disneyland of corporate campuses, with its "zapponians" who earn "zollars" and play "zing zong" on breaks. But she might not see herself working at a big corporation like this.

Her goal is to be "influential." She describes herself as a blockchain and machine learning developer and researcher and sees her future in health care and finance infrastructure. She chats about fractional ownership and the direction of 5G as well as stoicism and first principles. She is 16 years old.

"I'm really interested in meaningful work, and I think the best way to do that is in a startup," Imran says. Eventually she wants to run her own company, perhaps serving the developing world. College may or may not be part of the equation, at least not before a gap year.

This is Imran's first time in Las Vegas, first CES and somewhere between her 10th and 15th tech conference in the past year, she thinks. She flew here from the suburbs of Toronto -- where her parents moved from Pakistan when Imran was six -- to receive an award as a "Young Innovator to Watch" from Living In Digital Times. Many of the winners turn out to be children of immigrants, says LIDT founder Robin Raskin, and this year's teenagers also developed screening for respiratory diseases and an app for sexual-assault survivors.

Imran's project HonestBlocks uses blockchain to track health care supply chains and prevent counterfeit medicine. She came to Vegas with her chaperone Navid Nathoo, co-founder of the Knowledge Society, a program for talented kids, which Imran credits with giving her a direction beyond the pointlessness of school clubs and grades.

In school, she even started a nonprofit for girls in STEM but soon realized she didn't want to be standing on stages instead of solving problems. "I didn't feel my work was making a real impact," she says. "Doing events will only go so far." She tells me it'd be good to write this article about what she was like then versus now.

"People are impressed by that?" she says, quite seriously. "The only cool thing is the quantum computer."

On Wednesday, Imran roams the convention center, an ocean of middle-aged men. Her prime goal is to network. "That's the only utility in conferences," she says. There's a concentration of experts on emerging tech here, and she has a list of relationships to build, with Google, Uber and IBM.

Also, she's psyched to see the quantum computer, a regular CES appearance. "It's gonna be an iconic picture," she says.

First, the networking. She meets a blockchain expert at IBM, gives her standard intro and listens with arms folded, legs crossed, standing upright. "You definitely know your stuff," says the man. "How old are you?"

She tells him. He tells her to apply to IBM.

"You definitely know your stuff," says the man. "How old are you?"

Off again, through the Las Vegas Convention Center. Imran walks past Sharp's 90-inch transparent TV, attendees buzzing all around.

"People are impressed by that?" she says, quite seriously. "The only cool thing is the quantum computer," she adds, more in jest this time.

Eventually, she finds the glistening chandelier of a machine. She takes the photos and texts Nathoo her excitement. She talks to a quantum consultant and notes down the name of a paper about lithium-sulphur batteries. A man appears -- several earrings, mildly spiked hair -- and says he helped assemble the quantum computer.

"Can you explain how it works?" Imran asks.

"What do you want to do first, qubits or cooling?" he says.

She replies: "Let's do qubits."

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Podcast: The Overhype and Underestimation of Quantum Computing – insideHPC

https://radiofreehpc.com/audio/RF-HPC_Episodes/Episode260/RFHPC260_QuantumQuantum.mp3In this podcast, the Radio Free HPC team looks at how Quantum Computing is overhyped and underestimated at the same time.

The episode starts out with Henry being cranky. It also ends with Henry being cranky. But between those two events, we discuss quantum computing and Shahins trip to the Q2B quantum computing conference in San Jose.

Not surprisingly, there is a lot of activity in quantum, with nearly every country pushing the envelop outward. One of the big concerns is that existing cryptography is now vulnerable to quantum cracking. Shahin assures us that this isnt the case today and is probably a decade away, which is another way of saying nobody knows, so it could be next week, but probably not.

We also learn the term NISQ which is a descriptive acronym for the current state of quantum systems. NISQ stands for Noisy Intermediate Scale Quantum computing. The conversation touches on various ways quantum computing is used now and where its heading, plus the main reason why everyone seems to be kicking the tires on quantum: the fear of missing out. Its a very exciting area, but to Shahin, it seems like how AI was maybe 8-10 years ago, so still early days.

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Google and IBM square off in Schrodingers catfight over quantum supremacy – The Register

Column Just before Christmas, Google claimed quantum supremacy. The company had configured a quantum computer to produce results that would take conventional computers some 10,000 years to replicate - a landmark event.

Bollocks, said IBM - which also has big investments both in quantum computing and not letting Google get away with stuff. Using Summit, the world's largest conventional supercomputer at the Oak Ridge National Laboratories in Tennessee, IBM claimed it could do the same calculation in a smidge over two days.

As befits all things quantum, the truth is a bit of both. IBM's claim is fair enough - but it's right at the edge of Summit's capability and frankly a massive waste of its time. Google could, if it wished, tweak the quantum calculation to move it out of that range. And it might: the calculation was chosen precisely not because it was easy, but because it was hard. Harder is better.

Google's quantum CPU has 54 qubits, quantum bits that can stay in a state of being simultaneously one and zero. The active device itself is remarkably tiny, a silicon chip around a centimetre square, or four times the size of the Z80 die in your childhood ZX Spectrum. On top of the silicon, a nest of aluminium tickled by microwaves hosts the actual qubits. The aluminium becomes superconducting below around 100K, but the very coldest part of the circuit is just 15 millikelvins. At this temperature the qubits have low enough noise to survive long enough to be useful

By configuring the qubits in a circuit, setting up data and analysing the patterns that emerge when the superpositions are observed and thus collapse to either one or zero, Google can determine the probable correct outcome for the problem the circuit represents. 54 qubits, if represented in conventional computer terms, would need 254 bits of RAM to represent each step of the calculation, or two petabytes' worth. Manipulating this much data many times over gives the 10 millennia figure Google claims.

IBM, on the other hand, says that it has just enough disk space on Summit to store the complete calculation. However you do it, though, it's not very useful; the only application is in random number generation. That's a fun, important and curiously nuanced field, but you don't really need a refrigerator stuffed full of qubits to get there. You certainly don't need the 27,648 NVidia Tesla GPUs in Summit chewing through 16 megawatts of power.

What Google is actually doing is known in the trade as "pulling a Steve", from the marketing antics of the late Steve Jobs. In particular, his tour at NeXT Inc, the company he started in the late 1980s to annoy Apple and produce idiosyncratic workstations. Hugely expensive to make and even more so to buy, the NeXT systems were never in danger of achieving dominance - but you wouldn't know that from Jobs' pronouncements. He declared market supremacy at every opportunity, although in carefully crafted phrases that critics joked defined the market as "black cubic workstations running NeXTOS."

Much the same is true of Google's claim. The calculation is carefully crafted to do precisely the things that Google's quantum computer can do - the important thing isn't the result, but the journey. Perhaps the best analogy is with the Wright Brothers' first flight: of no practical use, but tremendous significance.

What happened to NeXT? It got out of hardware and concentrated on software, then Jobs sold it - and himself - to Apple, and folded in some of that software into MacOS development. Oh, and some cat called Berners-Lee built something called the World Wide Web on a Next Cube.

Nothing like this will happen with Google's technology. There's no new web waiting to be borne on the wings of supercooled qubits. Even some of the more plausible things, like quantum decryption of internet traffic, is a very long way from reality - and, once it happens, it's going to be relatively trivial to tweak conventional encryption to defeat it. But the raw demonstration, that a frozen lunchbox consuming virtually no power in its core can outperform a computer chewing through enough wattage to keep a small town going, is a powerful inducement for more work.

That's Google's big achievement. So many new and promising technologies have failed not because they could never live up to expectations but because they cant survive infancy. Existing, established technology has all the advantages: it generates money, it has distribution channels, it has an army of experts behind it, and it can adjust to close down challengers before they get going. To take just one company - Intel has tried for decades to break out of the x86 CPU prison. New wireless standards, new memory technologies, new chip architectures, new display systems, new storage and security ideas - year after year, the company casts about for something new that'll make money. It never gets there.

Google's "quantum supremacy" isn't there either, but it has done enough to protect its infant prince in its superconducting crib. That's worth a bit of hype.

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Charles Hoskinson Predicts Economic Collapse, Rise of Quantum Computing, Space Travel and Cryptocurrency in the 2020s – The Daily Hodl

The new decade will unfurl a bag of seismic shifts, predicts the creator of Cardano and Ethereum, Charles Hoskinson. And these changes will propel cryptocurrency and blockchain solutions to the forefront as legacy systems buckle, transform or dissolve.

In an ask-me-anything session uploaded on January 3rd, the 11th birthday of Bitcoin, Hoskinson acknowledges how the popular cryptocurrency gave him an eye-opening introduction to the world of global finance, and he recounts how dramatically official attitudes and perceptions have changed.

Every central bank in the world is aware of cryptocurrencies and some are even taking positions in cryptocurrencies. Theres really never been a time in human history where one piece of technology has obtained such enormous global relevance without any central coordinated effort, any central coordinated marketing. No company controls it and the revolution is just getting started.

And he expects its emergence to coalesce with other epic changes. In a big picture reveal, Hoskinson plots some of the major events he believes will shape the new decade.

2020 Predictions

Hoskinson says the consequences of these technologies will reach every government service and that cryptocurrencies will gain an opening once another economic collapse similar to 2008 shakes the markets this decade.

I think that means its a great opening for cryptocurrencies to be ready to start taking over the global economy.

Hoskinson adds that hes happy to be alive to witness all of the changes he anticipates, including a reorganization of the media.

This is the last decade of traditional organized media, in my view. Were probably going to have less CNNs and Fox Newses and Bloombergs and Wall Street Journals and more Joe Rogans, especially as we enter the 2025s and beyond. And I think our space in particular is going to fundamentally change the incentives of journalism. And well actually move to a different way of paying for content, curating content.

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World High Performance Computing (HPC) Markets to 2025 – AI, IoT, and 5G will be Major Drivers for HPC Growth as they Facilitate the Need to Process…

DUBLIN, Jan. 9, 2020 /PRNewswire/ -- The "High Performance Computing (HPC) Market by Component, Infrastructure, Services, Price Band, HPC Applications, Deployment Types, Industry Verticals, and Regions 2020-2025" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the HPC market including companies, solutions, use cases, and applications. Analysis includes HPC by organizational size, software and system type, server type, and price band, and industry verticals. The report also assesses the market for integration of various artificial intelligence technologies in HPC. It also evaluates the exascale-level HPC market including analysis by component, hardware type, service type, and industry vertical.

High Performance Computing (HPC) may be provided via a supercomputer or via parallel processing techniques such as leveraging clusters of computers to aggregate computing power. HPC is well-suited for applications that require high performance data computation such as certain financial services, simulations, and various R&D initiatives.

The market is currently dominated on the demand side by large corporations, universities, and government institutions by way of capabilities that are often used to solve very specific problems for large institutions. Examples include financial services organizations, government R&D facilities, universities research, etc.

However, the cloud-computing based as a Service model allows HPC market offerings to be extended via HPC-as-a-Service (HPCaaS) to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems. Industry use cases are increasingly emerging that benefit from HPC-level computing, many of which benefit from split processing between localized device/platform and HPCaaS.

In fact, HPCaaS is poised to become much more commonly available, partially due to new on-demand supercomputer service offerings, and in part as a result of emerging AI-based tools for engineers. Accordingly, up to 45% of revenue will be directly attributable to the cloud-based business model via HPCaaS, which makes High-Performance Computing solutions available to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems.

In a recent study, we conducted interviews with major players in the market as well as smaller, lesser known companies that are believed to be influential in terms of innovative solutions that are likely to drive adoption and usage of both cluster-based HPC and supercomputing.

In an effort to identify growth opportunities for the HPC market, we investigated market gaps including unserved and underserved markets and submarkets. The research and advisory firm uncovered a market situation in which HPC currently suffers from an accessibility problem as well as inefficiencies and supercomputer skill gaps.

Stated differently, the market for HPC as a Service (e.g. access to high-performance computing services) currently suffers from problems related to the utilization, scheduling, and set-up time to run jobs on a supercomputer. We identified start-ups and small companies working to solve these problems.

One of the challenge areas identified is low utilization but (ironically) also high wait times for most supercomputers. Scheduling can be a challenge in terms of workload time estimation. About 20% of jobs are computationally heavy 30% of jobs cannot be defined very well in terms of how long jobs will take (within 3-minute window at best). In many instances, users request substantive resources and don't actually use computing time.

In addition to the scheduling challenge, we also identified a company focused on solving additional problems such as computational planning and engineering. We spoke with the principal of a little-known company called Microsurgeonbot, Inc. (doing business as MSB.ai), which is developing a tool for setting up computing jobs for supercomputers.

The company is working to solve major obstacles in accessibility and usability for HPC resources. The company focuses on solving a very important problem in HPC: Supercomputer job set-up and skills gap. Their solution known as "Guru" is poised to make supercomputing much more accessible, especially to engineers in small to medium-sized businesses that do not have the same resources or expertise as large corporate entities.

Key Topics Covered

1 Executive Summary1.1 Companies in Report1.2 Target Audience1.3 Methodology

2 Introduction2.1 Next Generation Computing2.2 High Performance Computing2.2.1 HPC Technology2.2.1.1 Supercomputers2.2.1.2 Computer Clustering2.2.2 Exascale Computation2.2.2.1 United States2.2.2.2 China2.2.2.3 Europe2.2.2.4 Japan2.2.2.5 India2.2.2.6 Taiwan2.2.3 High Performance Technical Computing2.2.4 Market Segmentation Considerations2.2.4.1 Government, NGOs, and Universities2.2.4.2 Small Companies and Middle Market2.2.5 Use Cases and Application Areas2.2.5.1 Computer Aided Engineering2.2.5.2 Government2.2.5.3 Financial Services2.2.5.4 Education and Research2.2.5.5 Manufacturing2.2.5.6 Media and Entertainment2.2.5.7 Electronic Design Automation2.2.5.8 Bio-Sciences and Healthcare2.2.5.9 Energy Management and Utilities2.2.5.10 Earth Science2.2.6 Regulatory Framework2.2.7 Value Chain Analysis2.2.8 AI to Drive HPC Performance and Adoption

3 High Performance Computing Market Analysis and Forecast 2020-20253.1 Global High Performance Computing Market 2020-20253.1.1 Total High Performance Computing Market 2020-20253.1.2 High Performance Computing Market by Component 2020-20253.1.2.1 High Performance Computing Market by Hardware and Infrastructure Type 2020-20253.1.2.1.1 High Performance Computing Market by Server Type 2020-20253.1.2.2 High Performance Computing Market by Software and System Type 2020-20253.1.2.3 High Performance Computing Market by Professional Service Type 2020-20253.1.3 High Performance Computing Market by Deployment Type 2020-20253.1.4 High Performance Computing Market by Organization Size 2020-20253.1.5 High Performance Computing Market by Server Price Band 2020-20253.1.6 High Performance Computing Market by Application Type 2020-20253.1.6.1 High Performance Technical Computing Market by Industry Vertical 2020-20253.1.6.2 Critical High Performance Business Computing Market by Industry Vertical 2020-20253.1.1 High Performance Computing Deployment Options: Supercomputer vs. Clustering 2020-20253.1.2 High Performance Computing as a Service (HPCaaS) 2020-20253.1.3 AI Powered High Performance Computing Market3.1.3.1 AI Powered High Performance Computing Market by Component3.1.3.2 AI Powered High Performance Computing Market by AI Technology3.2 Regional High Performance Computing Market 2020-20253.3 Exascale Computing Market 2020-20253.3.1 Exascale Computing Driven HPC Market by Component 2020-20253.3.2 Exascale Computing Driven HPC Market by Hardware Type 2020-20253.3.3 Exascale Computing Driven HPC Market by Service Type 2020-20253.3.4 Exascale Computing Driven HPC Market by Industry Vertical 2020-20253.3.1 Exascale Computing as a Service 2020-2025

4 High Performance Computing Company Analysis4.1 HPC Vendor Ecosystem4.2 Leading HPC Companies4.2.1 Amazon Web Services Inc.4.2.2 Atos SE4.2.3 Adavnced Micro Devices Inc.4.2.4 Cisco Systems4.2.5 DELL Technologies Inc.4.2.6 Fujitsu Ltd.4.2.7 Hewlett Packard Enterprise (HPE)4.2.8 IBM Corporation4.2.9 Intel Corporation4.2.10 Microsoft Corporation4.2.11 NEC Corporation4.2.12 NVIDIA4.2.13 Rackspace Inc.4.1 Companies to Watch4.1.1 Braket Inc.4.1.1 MicroSurgeonBot Inc. (MSB.ai)

5 Conclusions and Recommendations5.1 AI to Support Adoption and Usage of HPC5.2 5G and 6G to Drive Increased Demand for HPC

6 Appendix: Future of Computing6.1 Quantum Computing6.1.1 Quantum Computing Technology6.1.2 Quantum Computing Considerations6.1.3 Market Challenges and Opportunities6.1.4 Recent Developments6.1.5 Quantum Computing Value Chain6.1.6 Quantum Computing Applications6.1.7 Competitive Landscape6.1.8 Government Investment in Quantum Computing6.1.9 Quantum Computing Stakeholders by Country6.1 Other Future Computing Technologies6.1.1 Swarm Computing6.1.2 Neuromorphic Computing6.1.3 Biocomputing6.2 Market Drivers for Future Computing Technologies6.2.1 Efficient Computation and High Speed Storage6.2.2 Government and Private Initiatives6.2.3 Flexible Computing6.2.4 AI-enabled, High Performance Embedded Devices, Chipsets, and ICs6.2.5 Cost Effective Computing powered by Pay-as-you-go Model6.3 Future Computing Market Challenges6.3.1 Data Security Concerns in Virtualized and Distributed Cloud6.3.2 Funding Constrains R&D Activities6.3.3 Lack of Skilled Professionals across the Sector6.3.4 Absence of Uniformity among NGC Branches including Data Format

For more information about this report visit https://www.researchandmarkets.com/r/xa4mit

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

Media Contact:

Research and Markets Laura Wood, Senior Manager press@researchandmarkets.com

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More Altcoin Mining to be Integrated by Mining Pools in 2020 – Report – Cryptonews

Source: iStock/Vitalij Sova

2020 will see the mining pools start to integrate more altcoin mining with huge market potential and risks, says token data and rating agency TokenInsight.

The agency's 2019 mining industry report claims that there are only 64 mineable coins including Bitcoin (BTC) with more than USD 100,000 trading volume in 24 hours, and these (with BTC) account for 82% of total crypto market capitalization. What we're seeing now is altcoin mining and staking entering the main stage, says the report. These will get more market attention, and an increasing number of mining pools will start to integrate them, wanting to differentiate their services, diversify revenue streams and compete with other mining pools.

Also, as the industry faces the issues of transparency and supervision, major mining pools are actively building brand credibility, and its likely that the future will bring inspection and reporting in cooperation with independent third parties and decentralized mining pool protocol.

This year, we might also see more cloud mining products launched targeting the broader market. However, the future of the cloud mining market is outside of China, particularly in Russia, TokenInsight finds, adding that the number of users in Russia is staggering. The countrys development and participation in BTC mining will increase in 2020 with the ease of policies on crypto, but also the weather advantages.

According to the researchers, cloud mining platforms are relatively concentrated, with nine platforms sharing more than 80% of the market, while most of the cloud mining products are currently unprofitable.

Taking the Bitcoin mining reward halving in May into account, under the current mining difficulty and BTC price, most of the cloud mining products on the market are not worth investing in. When the block reward is halved, if the hashrate, or the computing power of the entire network, is reduced by the same proportion, then less than half of the cloud mining products tracked by TokenInsight cant make a positive ROI (return on investment), says the agency.

Also, the researchers claim that the whole mining industry is extremely concentrated, with the top four companies accounting for c. 95% of the market. The agency made 2020 predictions for SHA-256 ASIC mining hardware market shares, finding that Bitmain will continue its reign with 63%, Canaan will climb up, back to the 2nd place, with 18% of the market share. If Eband goes public in 2020, it will have a positive impact on its market share and will squeeze out other players. Whatsminer has more than 20% of the market share in 2019, but its founder Yang Zuoxing, was arrested in 2019.

Nonetheless, what will largely determine the success or failure of mining hardware manufacturers, says the report, is the support of chip makers. The chip supply is relatively in shortage, and mining hardware manufacturers have to compete with mobile phones for it.____

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Watch Bitcoin educator, entrepreneur Andreas M. Antonopoulos, discussing the economics of mining pools and is it possible that certain wallets are collaborating with mining pools to propagate there first.

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Ethereum, Monero hashrate mainly concentrated in Europe – AMBCrypto

The world of cryptocurrencies is often talked about in the context of future developments, which is why Bitcoin mining has been largely spoken of in the background of the upcoming halving. However, altcoin mining has been fairly unnoticed. Unlike Bitcoin mining, altcoin mining is considered more complex. Thus, it is still at a relatively nascent stage, said a report by TokenInsight.

As per CoinMarketCaps listing, there are over 400 mineable coins in the market, out of which only 63 coins, excluding BTC, have a ~$100k+ 24-hours trading volume. The mineable coins, including BTC, account for roughly 81.9% of the total market cap. Bitcoin miners used ASIC chips, whereas smaller altcoins are still using GPUs and unlike the king coin, they are not concentrated in China.

Grin, among other mineable coins, has 13 mining pools with top 2 pools contributing over >50% of the total hashrate while using ASICs and GPUs. The hashrate for Grin mining was concentrated largely in the Asia-Pacific, along with Europe and North America. On the other hand, Monero and Ethereum had 43 and 71 mining pools, respectively, with the hash rates mainly concentrated in Europe.

Source: TokenInsight

Among the mineable coins and miners, Bitcoins PoW miners dominated the market in terms of industry value and industry revenue. However, the altcoin PoW mining market has been growing significantly. The report added,

Surveys have shown that 60% surveyed large companies mine multiple crypto assets whereas small scale miners tend to mine a very limited number of crypto assets, possible due to,1. Information asymmetric between the miners2. Learning and research costs are significantly high in the small scale miner groups3. High barrier to entries due to time, knowledge, information and data.

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Ethereum, Monero hashrate mainly concentrated in Europe - AMBCrypto

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4 Signs the Cryptocurrency Altcoin Market May Have Finally Bottomed – Cointelegraph

Bitcoin (BTC) made a sudden jump of 9% in the past 24 hours. However, altcoin cryptocurrencies have been showing strength recently as well.

Recent surges from large caps have been in the double digits with Dash (DASH) surging 50% and Bitcoin Cash (BCH) 30% in the past four days. Is it possible to draw a conclusion that the altcoin market capitalization is potentially bottoming? Lets find out.

Crypto market daily performance. Source: Coin360

Many altcoins have reached their cycle low levels, which means that many of them hit levels not seen since before the bull market in 2017, and some have even dropped to their January 2016 levels. One example is Dash.

Dash BTC 5-day chart. Source: TradingView

Markets tend to move in cycles, through which data accumulates from previous periods. The Dash chart is showing a cycle low in 2016 at the green rectangle.

A similar level and bounce are spotted from this price through the past weeks, combined with bullish divergence. This bullish divergence was also spotted on smaller time frames in January 2016.

XMR BTC 5-day chart. Source: TradingView

At the same time, a full retrace to these levels is not always necessary. It can also retrace towards the cycle lows in 2017. An example of such a chart is Monero (XMR). This privacy-focused coin retraced back to the first support of the last cycle, found around 0.00600000 satoshis.

The same phenomenon is spotted here, which means that theres another bullish divergence marking a local bottom.

So is a new cycle is going to start? If we would do a survey of sentiment between regular altcoin investors, then it would currently be depression, as the majority of the altcoins have been crushed in the last months against their BTC pair.

Moreover, a similar view is found on USD pairs with XRP (XRP), in particular, demonstrating major weakness in recent months.

XRP USD 5-day chart. Source: TradingView

XRP lost major support at $0.30 and retraced towards the next major support, seemingly the last crucial one. The same views were found in the previous cycle, through which similar support was tested before continuation and a bull market started. That period was in January 2016 when the breakdown occurred, and now its January 2020.

Remarkably, the best period for altcoins is when Bitcoin makes a slow, upwards grind. People tend to have Bitcoin as their safe haven and trade altcoins a bit more. However, when Bitcoin starts to turn parabolic (like we saw in June 2019), altcoins are being sold for Bitcoin. And when Bitcoin decides to move downwards, people and traders sell their cryptocurrencies for USD.

Hence, Bitcoin has to now find a cycle low for altcoins to gain some upward momentum.

BTC USD 5-day chart. Source: TradingView

Given this chart, the price of Bitcoin hit a 4-year old trendline and bounced from it. Aside from that, the golden pocket Fibonacci ratio held as well, which is showing signals of a possible bottom formation.

Similar, in January 2016, a bottom formation was found as well, which gave altcoins freedom to grow, as the price of Bitcoin was making slow movements to the upside.

A similar thought and expectation could be the case here, in which Bitcoin is slowly grinding upwards in the coming months, giving altcoins space to continue.

Another significant sign is the stoppage of downtrends. Some large caps have broken out of their 2-year old downtrends while some of them still have to break upwards. One example is Bitcoin Cash.

BCH BTC 5-day chart. Source: TradingView

This chart shows that the price broke a 2-year old downtrend, which could signal the start of an uptrend from here. A similar breakout is seen in the Ethereum Classic (ETC) chart, though, admittedly, Ether (ETH) is not quite there yet.

ETH BTC 4-day chart. Source: TradingView

Nevertheless, Ether is close to breaking it. If we analyze this chart, it shows that ETH fully retraced to the 2016 lows as well. Additionally, the low in September 2019 at 0.01645000 satoshis marked a bullish divergence.

This pattern also marked the beginning of previous bullish reversals. For example, as of January 2016, a slightly higher low led to a breakout of the downtrend, comparable with the movements of January 2017 and January 2018.

Thus, another 2-year old downtrend is on the table here, ready to be broken to the upside. If that occurs, a significant move should occur for altcoins if the biggest altcoin finally breaks out of its downtrend.

Indeed, the first quarter of the year once again looks like a good period for trading altcoins. In fact, Ether has been reversing these downtrends almost always in Q1.

Total altcoin market capitalization chart. Source: TradingView

A significant sign is a bounce in the green zone from the total altcoin market capitalization. This level was the support zone in 2017 before the big bull market. The level also served as support in April 2019 before the significant surge of altcoins occurred (and ETH rallied towards $360).

However, the total altcoin capitalization needs to show strength and break the downtrend. If that occurs, total altcoin capitalization could then see $80 and $125 billion as the next levels.

Total altcoin market capitalization chart of 2015. Source: TradingView

A similar retest occurred from November 2015 to January 2016, the last cycles low. A retest was necessary to confirm support before the altcoins started to make their moves.

Therefore, there are more arguments for potential long entries and possible bottom formations on altcoins rather than further downwards pressure. However, the crypto market is highly unpredictable, so tread carefully. If Bitcoin decides to make a move towards $9,500, altcoins may likely be crushed further against their BTC pairs.

The views and opinions expressed here are solely those of the author and do not necessarily reflect the views of Cointelegraph. Every investment and trading move involves risk. You should conduct your own research when making a decision.

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