Daily Archives: March 26, 2020

Is Machine Learning The Quantum Physics Of Computer Science ? – Forbes

Posted: March 26, 2020 at 6:43 am

Preamble: Intermittently, I will be introducing some columns which introduce some seemingly outlandish concepts. The purpose is a bit of humor, but also to provoke some thought. Enjoy.

atom orbit abstract

God does not play dice with the universe, Albert Einstein is reported to have said about the field of Quantum Physics. He was referring to the great divide at the time in the physics community between general relativity and quantum physics. General relativity was a theory which beautifully explained a great deal of physical phenomena in a deterministic fashion. Meanwhile, quantum physics grew out of a model which fundamentally had a probabilistic view of the world. Since Einstein made that statement in the mid 1950s, quantum physics has proven to be quite a durable theory, and in fact, it is used in a variety of applications such as semiconductors.

One might imagine a past leader in computer science such as Donald Knuth exclaiming, Algorithms should be deterministic. That is, given any input, the output should be exact and known. Indeed, since its formation, the field of computer science has focused on building elegant deterministic algorithms which have a clear view of the transformation between inputs and outputs. Even in the regime of non-determinism such as parallel processing, the objective of the overall algorithm is to be deterministic. That is, despite the fact that operations can run out-of-order, the outputs are still exact and known. Computer scientists work very hard to make that a reality.

As computer scientists have engaged with the real world, they frequently face very noisy inputs such as sensors or even worse, human beings. Computer algorithms continue to focus on faithfully and precisely translating input noise to output noise. This has given rise to the Junk In Junk Out (JIJO) paradigm. One of the key motivations for pursuing such a structure has been the notion of causality and diagnosability. After all, if the algorithms are noisy, how is one to know the issue is not a bug in the algorithm? Good point.

With machine learning, computer science has transitioned to a model where one trains a machine to build an algorithm, and this machine can then be used to transform inputs to outputs. Since the process of training is dynamic and often ongoing, the data and the algorithm are intertwined in a manner which is not easily unwound. Similar to quantum physics, there is a class of applications where this model seems to work. Recognizing patterns seems to be a good application. This is a key building block for autonomous vehicles, but the results are probabilistic in nature.

In quantum physics, there is an implicit understanding that the answers are often probabilistic Perhaps this is the key insight which can allow us to leverage the power of machine learning techniques and avoid the pitfalls. That is, if the requirements of the algorithm must be exact, perhaps machine learning methods are not appropriate. As an example, if your bank statement was correct with somewhat high probability, this may not be comforting. However, if machine learning algorithms can provide with high probability the instances of potential fraud, the job of a forensic CPA is made quite a bit more productive. Similar analogies exist in the area of autonomous vehicles.

Overall, machine learning seems to define the notion of probabilistic algorithms in computer science in a similar manner as quantum physics. The critical challenge for computing is to find the correct mechanisms to design and validate probabilistic results.

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Research by University of Chicago PhD Student and EPiQC Wins IBM Q Best Paper – Quantaneo, the Quantum Computing Source

Posted: at 6:43 am

The interdisciplinary team of researchers from UChicago, University of California, Berkeley, Princeton University and Argonne National Laboratory won the $2,500 first-place award for Best Paper. Their research examined how the VQE quantum algorithm could improve the ability of current and near-term quantum computers to solve highly complex problems, such as finding the ground state energy of a molecule, an important and computationally difficult chemical calculation the authors refer to as a killer app for quantum computing.

Quantum computers are expected to perform complex calculations in chemistry, cryptography and other fields that are prohibitively slow or even impossible for classical computers. A significant gap remains, however, between the capabilities of todays quantum computers and the algorithms proposed by computational theorists.

VQE can perform some pretty complicated chemical simulations in just 1,000 or even 10,000 operations, which is good, Gokhale says. The downside is that VQE requires millions, even tens of millions, of measurements, which is what our research seeks to correct by exploring the possibility of doing multiple measurements simultaneously.

Gokhale explains the research in this video.

With their approach, the authors reduced the computational cost of running the VQE algorithm by 7-12 times. When they validated the approach on one of IBMs cloud-service 20-qubit quantum computers, they also found lower error as compared to traditional methods of solving the problem. The authors have shared their Python and Qiskit code for generating circuits for simultaneous measurement, and have already received numerous citations in the months since the paper was published.

For more on the research and the IBM Q Best Paper Award, see the IBM Research Blog. Additional authors on the paper include Professor Fred Chong and PhD student Yongshan Ding of UChicago CS, Kaiwen Gui and Martin Suchara of the Pritzker School of Molecular Engineering at UChicago, Olivia Angiuli of University of California, Berkeley, and Teague Tomesh and Margaret Martonosi of Princeton University.

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Organisms grow in wave pattern, similar to ocean circulation – Big Think

Posted: at 6:43 am

When an egg cell of almost any sexually reproducing species is fertilized, it sets off a series of waves that ripple across the egg's surface.

These waves are produced by billions of activated proteins that surge through the egg's membrane like streams of tiny burrowing sentinels, signaling the egg to start dividing, folding, and dividing again, to form the first cellular seeds of an organism.

Now MIT scientists have taken a detailed look at the pattern of these waves, produced on the surface of starfish eggs. These eggs are large and therefore easy to observe, and scientists consider starfish eggs to be representative of the eggs of many other animal species.

In each egg, the team introduced a protein to mimic the onset of fertilization, and recorded the pattern of waves that rippled across their surfaces in response. They observed that each wave emerged in a spiral pattern, and that multiple spirals whirled across an egg's surface at a time. Some spirals spontaneously appeared and swirled away in opposite directions, while others collided head-on and immediately disappeared.

The behavior of these swirling waves, the researchers realized, is similar to the waves generated in other, seemingly unrelated systems, such as the vortices in quantum fluids, the circulations in the atmosphere and oceans, and the electrical signals that propagate through the heart and brain.

"Not much was known about the dynamics of these surface waves in eggs, and after we started analyzing and modeling these waves, we found these same patterns show up in all these other systems," says physicist Nikta Fakhri, the Thomas D. and Virginia W. Cabot Assistant Professor at MIT. "It's a manifestation of this very universal wave pattern."

"It opens a completely new perspective," adds Jrn Dunkel, associate professor of mathematics at MIT. "You can borrow a lot of techniques people have developed to study similar patterns in other systems, to learn something about biology."

Fakhri and Dunkel have published their results today in the journal Nature Physics. Their co-authors are Tzer Han Tan, Jinghui Liu, Pearson Miller, and Melis Tekant of MIT.

Previous studies have shown that the fertilization of an egg immediately activates Rho-GTP, a protein within the egg which normally floats around in the cell's cytoplasm in an inactive state. Once activated, billions of the protein rise up out of the cytoplasm's morass to attach to the egg's membrane, snaking along the wall in waves.

"Imagine if you have a very dirty aquarium, and once a fish swims close to the glass, you can see it," Dunkel explains. "In a similar way, the proteins are somewhere inside the cell, and when they become activated, they attach to the membrane, and you start to see them move."

Fakhri says the waves of proteins moving across the egg's membrane serve, in part, to organize cell division around the cell's core.

"The egg is a huge cell, and these proteins have to work together to find its center, so that the cell knows where to divide and fold, many times over, to form an organism," Fakhri says. "Without these proteins making waves, there would be no cell division."

MIT researchers observe ripples across a newly fertilized egg that are similar to other systems, from ocean and atmospheric circulations to quantum fluids. Courtesy of the researchers.

In their study, the team focused on the active form of Rho-GTP and the pattern of waves produced on an egg's surface when they altered the protein's concentration.

For their experiments, they obtained about 10 eggs from the ovaries of starfish through a minimally invasive surgical procedure. They introduced a hormone to stimulate maturation, and also injected fluorescent markers to attach to any active forms of Rho-GTP that rose up in response. They then observed each egg through a confocal microscope and watched as billions of the proteins activated and rippled across the egg's surface in response to varying concentrations of the artificial hormonal protein.

"In this way, we created a kaleidoscope of different patterns and looked at their resulting dynamics," Fakhri says.

The researchers first assembled black-and-white videos of each egg, showing the bright waves that traveled over its surface. The brighter a region in a wave, the higher the concentration of Rho-GTP in that particular region. For each video, they compared the brightness, or concentration of protein from pixel to pixel, and used these comparisons to generate an animation of the same wave patterns.

From their videos, the team observed that waves seemed to oscillate outward as tiny, hurricane-like spirals. The researchers traced the origin of each wave to the core of each spiral, which they refer to as a "topological defect." Out of curiosity, they tracked the movement of these defects themselves. They did some statistical analysis to determine how fast certain defects moved across an egg's surface, and how often, and in what configurations the spirals popped up, collided, and disappeared.

In a surprising twist, they found that their statistical results, and the behavior of waves in an egg's surface, were the same as the behavior of waves in other larger and seemingly unrelated systems.

"When you look at the statistics of these defects, it's essentially the same as vortices in a fluid, or waves in the brain, or systems on a larger scale," Dunkel says. "It's the same universal phenomenon, just scaled down to the level of a cell."

The researchers are particularly interested in the waves' similarity to ideas in quantum computing. Just as the pattern of waves in an egg convey specific signals, in this case of cell division, quantum computing is a field that aims to manipulate atoms in a fluid, in precise patterns, in order to translate information and perform calculations.

"Perhaps now we can borrow ideas from quantum fluids, to build minicomputers from biological cells," Fakhri says. "We expect some differences, but we will try to explore [biological signaling waves] further as a tool for computation."

This research was supported, in part, by the James S. McDonnell Foundation, the Alfred P. Sloan Foundation, and the National Science Foundation.

Reprinted with permission of MIT News. Read the original article.

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Tech incubator Fountech.Ventures launches in US and UK – UKTN

Posted: at 6:43 am

Fountech.Ventures, a next generation incubator for deep tech startups, has launched in the US and UK.

The subsidiary company ofFountech.ai, a four-year-old international AI think tank and parent company to a number of specialist AI and deep tech firms, is based in Austin, Texas, US and originated in London, UK.

Fountech.Ventures goes above and beyond a standard incubator it provides broader services over a longer timeframe so founders of deep tech startups can fast-track their businesses from ideation to commercial success.

Fountech.Ventures develops tailored programmes for members, sharing technical and commercial knowledge, along with the provision of interim CEOs, funding, business advice, office space and international networking opportunities.

Headed by Salvatore Minetti, a team of experienced tech experts will work with deep tech startups spanning artificial intelligence (AI), robotics, quantum computing and blockchain.

Based on progress and continuous assessments, Fountech.Ventures will invest its own funds into its portfolio companies, from pre-seed level right through to Series B.

Banking alternative fintech company Lanistar launches

Salvatore Minetti, CEO of Fountech.Ventures, said: The US and UK are home to a vast number of deep tech startups that have immense growth potential. However, reaching that potential is difficult tech experts and PhD graduates have incredible ideas for how to use new and advanced technologies but often lack the skills and experience to transform them into successful businesses.

Fountech.Ventures will change all this by delivering the commercial expertise and infrastructure that is sorely needed. Whats more, the fact that our members can also access vital funding and our international hubs means we have a unique ability to bring products and services grounded in leading edge technologies to huge markets.

It is this end-to-end offering that makes us more than a typical incubator Fountech.Ventures is a next generation incubator.

Fountech.Ventures already has six portfolio companies. These include Soffos, an AI TutorBot; Prospex, an AI-powered lead generation tool; and Dinabite, a restaurant app built on an AI platform.

Advanced acquires Tikit from BT Group

Rebecca Taylor and Joseph McCall have joined the Fountech.Ventures board as directors. The board is to be bolstered further with additional appointments in the coming weeks.

Nikolas Kairinos, CEO and founder of the parent company Fountech.ai, commented: We are delighted to unveil Fountech.Ventures today.

This next gen incubator is going to propel the growth of deep tech startups across both sides of the Atlantic. In doing so, we will enable innovative leading edge tech solutions to thrive and consequently improve the lives of consumers, businesses and societies.

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Recent PDF Report : Quantum Computing Market 2020: In-depth Industry Analysis By Size, Share, Competition, Opportunities And Growth By 2029 – Sound On…

Posted: at 6:43 am

MarketResearch.biz sets out the latest report on the Global Quantum Computing Market that includes an in-depth analysis of competition, segmentation, regional expansion, market dynamics and forecast 2020-2029.

The demand for Global Quantum Computing Market is anticipated to be high for the next ten years. By considering this demand we provide the latest Quantum Computing Market Report which gives complete industry analysis, market outlook, size, shares, restains, drivers, challenges, risk factors, growth, and forecast till 2029. This report also provides assistance in analyzing the current and future business trends, sales and revenue forecasts.

This research report provides a collective data on the Quantum Computing market, that also contains an intricate valuation of this business vertical. This report clearly explained the segments of the Quantum Computing market. This report provides a basic overview of the market in terms of its current status as well as market size, in terms of returns and volume parameters.

A basic outline of the competitive landscape:

The Quantum Computing market report includes a thorough analysis of the competitive landscape of this industry.

The report also encompasses a thorough analysis of the markets competitors scope based on the segmentation of the same into companies such as International Business Machines (IBM) Corporation, Google Inc, Microsoft Corporation, Qxbranch LLC, Cambridge Quantum Computing Ltd, 1QB Information Technologies Inc, QC Ware Corp., Magiq Technologies Inc, D-Wave Systems Inc, Rigetti Computing.

The study covers details on the individual market share of each industry contributor, the region served and more.

Key players Profiles covered in the report alongside facts concerning its futuristic strategies, financials, technological developments, supply chain study, collaboration & mergers, gross margins and price models.

To Obtain All-Inclusive Information On Forecast Analysis Of GlobalQuantum ComputingMarket, Download FREE SamplePDF Report Herehttps://marketresearch.biz/report/quantum-computing-market/request-sample

A complete outline of the regional spectrum:

A crisp outline of the market segmentation:

The Quantum Computing market is segmented on the basis of component, application, end-use industry, and region.

Segmentation by Component:

GeneratorConversion DevicesDistribution DevicesBattery Management SystemsOthers (Alternators, etc.)Segmentation by System:

Power GenerationPower DistributionPower ConversionEnergy StorageSegmentation by Platform:

Military AviationCommercial AviationBusiness & General AviationSegmentation by Application:

Cabin SystemFlight Control & OperationConfiguration ManagementPower Generation ManagementAir Pressurization & Conditioning

Inquire/Speak To Expert for Further Detailed Information About Quantum Computing Report:https://marketresearch.biz/report/quantum-computing-market/#inquiry

Different questions addressed through this research report:

What are the affecting factors for the growth of the market?

What are the major restraints and drivers of market?

What will be the market size in 2029?

Which are the most demanding regions in terms of consumption and production?

key outcomes of industry analysis techniques?

What are the successful key players in market?

Table of Content

1 Introduction of Quantum Computing Market

1.1 Overview of the Market

1.2 Scope of Report

1.3 Assumptions

2 Executive Summary

3 Research Methodology of MarketResearch.biz

3.1 Data Mining

3.2 Validation

3.3 Primary Interviews

3.4 List of Data Sources

4 Quantum Computing Market Outlook

4.1 Overview

4.2 Market Dynamics

4.2.1 Drivers

4.2.2 Restraints

4.2.3 Opportunities

4.3 Porters Five Force Model

4.4 Value Chain Analysis

5 Quantum Computing Market , Segmentation

5.1 Overview

6 Quantum Computing Market , By Geography

6.1 Overview

6.2 North America

6.2.1 U.S.

6.2.2 Canada

6.2.3 Mexico

6.3 Europe

6.3.1 Germany

6.3.2 U.K.

6.3.3 France

6.3.4 Rest of Europe

6.4 Asia Pacific

6.4.1 China

6.4.2 Japan

6.4.3 India

6.4.4 Rest of Asia Pacific

6.5 Rest of the World

6.5.1 Latin America

6.5.2 Middle East

7 Quantum Computing Market Competitive Landscape

7.1 Overview

7.2 Company Market Ranking

7.3 Key Development Strategies

8 Company Profiles

8.1.1 Overview

8.1.2 Financial Performance

8.1.3 Product Outlook

8.1.4 Key Developments

9 Appendix

9.1 Related Research

Get Complete Table of Contents @https://marketresearch.biz/report/quantum-computing-market/#toc

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Why this cryptocurrency just surged 16% on news of a key Binance partnership – CryptoSlate

Posted: at 6:41 am

Basic Attention Token (BAT), the native cryptocurrency of the Brave Browser, spiked by more than 16 percent following a Binance trading widget integration.

The Brave team said:

Brave Software and Binance, the global blockchain company behind the worlds largest cryptocurrency exchange by trading volume and users, today announced a partnership that enables Brave browser users to seamlessly trade cryptocurrency assets through Binance.

The partnership allows users of Brave Browser to trade cryptocurrencies on Binance on the new tab page of the browser.

The Brave Browser remains as one of the few products with a native cryptocurrency to have millions of active users on a monthly basis.

In January 2020, Brave Software co-founder and CEO Brendan Eich said that the number of active monthly users using the Brave Browser surpassed 11.2 million.

He said:

Brave finished 2019 with 11.2M MAU & 3.5M DAU. Since then DAU has passed 3.7M DAU, and growth continues.

That is more than a 10 percent increase in user growth within a two-month span, after seeing 8.7 million users in October 2019.

Changpeng Zhao, the CEO of Binance, said that the long-term partnership with Brave will increase the utility of cryptocurrencies.

Zhao said:

The Binance widget on Braves privacy-oriented browser instills a safer way to buy and sell crypto and also reduces user friction to onboard, trade and interact with the Binance ecosystem. We are looking forward to our long-term partnership with Brave to make it even easier to interact with crypto and encourage more utility in the near future.

The recovery in the price of BAT comes at a much needed time of the year; since January 1, the price of the BAT cryptocurrency fell by nearly 50 percent against the USD.

It fell substantially as the Bitcoin price dropped sharply from $8,000 to sub-$4,000 on March 12, in one of the steepest pullbacks in the markets history.

Since bottoming out at $0.099 in mid-March, the price of BAT has increased by around 70 percent to $0.162.

The sharp correction of the U.S. stock market and the global financial sector led to a short-term decline in the valuation of the entire cryptocurrency market.

But, the industry has seen significant positive developments over the past three months. Most notably, the Supreme Court of India dismissed the circular issued by the Reserve Bank of India to prohibit cryptocurrency trading.

Investments in the cryptocurrency and blockchain industry have declined year-over-year, primarily due to the economic consequences of the coronavirus pandemic in key cryptocurrency markets such as China, South Korea, the U.S., and Europe.

Yet, industry leaders and major companies within the sector are working toward strengthening the infrastructure supporting cryptocurrencies, similar to every previous bear cycle in the last ten years.

Since 2009, Bitcoin has seen a repeated cycle of a bear market-build phase-accumulation phase-bull market many times over. Following every bear cycle, the industry had come out stronger in terms of fundamentals.

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The Role of Cryptocurrencies in the Rise of Ransomware – Cointelegraph

Posted: at 6:41 am

Cryptocurrency and ransomware have had a long history together. They are so closely intertwined, in fact, that many have blamed the rise of cryptocurrency for a parallel rise in ransomware attacks.

Ransomware attacks are certainly increasing they rose by 118% in 2018 but its not clear that this is due to cryptocurrency. While the vast majority of ransoms are paid in crypto, the transparent nature of these currencies actually means that they are a pretty bad place to hide stolen funds.

In this article, well take a look at the relationship between cryptocurrency and ransomware, as well as what the future holds.

There are at least two ways in which cryptocurrency is important for ransomware attacks. The first one is the most obvious the majority of the ransoms paid during these kinds of attacks are generally in cryptocurrency. This was the case, for instance, in the WannaCry ransomware attacks, still the largest attack of its kind in history. Victims of the attack were instructed to send roughly $300 of Bitcoin (BTC) to their attackers.

There is another way in which crypto and ransomware are intertwined, though. Today, plenty of hackers are offering ransomware as a service, essentially letting anyone hire a hacker from online marketplaces. If you are so inclined, you can even buy ransomware off-the-shelf from these marketplaces. Both of these services can be paid for in youve guessed it cryptocurrency.

Cryptocurrency is also implicated in many other forms of cyberattack. Cryptojacking a form of attack that uses victims computers to mine cryptocurrencies is also on the rise, and new forms of malware such as Adylkuzz can be used by almost anyone with even a slight level of technical knowledge. Though these forms of attack are not technically ransomware, they further suggest the deep relationship between cryptocurrency and cybercrime.

At first glance, it seems obvious that ransomware hackers would demand payment in cryptocurrency. Surely these currencies, based on anonymity and encryption, offer the best place to store stolen funds?

Well, not really. There is actually a different reason why ransomware attacks make use of cryptocurrencies. As Coin Center director of research Peter Van Valkenburgh wrote in 2017, it is the efficiency of cryptocurrency networks, rather than their secrecy, that attracts hackers. As he later put it:

Its electronic cash, so its easy to write software that can automatically demand payment and automatically demand that payment has been made.

The value of cryptocurrency during a ransomware attack is actually the transparency of cryptocurrency exchanges. A hacker can simply watch the public blockchain to see if victims have paid up, and can automate the process of giving a victim their files back once this payment has been received.

This point also suggests a slightly curious aspect of the role of crypto in ransomware attacks: Cryptocurrency is, perhaps, the worst place to store ransom money. The open, transparent, nature of Bitcoin blockchain transactions means that the global community is closely watching the ransom money. That makes it extremely difficult to convert these funds into another currency, and means that they can be tracked by law enforcement.

As the director of research at Coin Center, Peter Van Valkenburgh, stated:

In the U.S., every major bitcoin exchange is regulated by FINCEN. Right now the $50,000 extorted from victims is just sitting on the bitcoin network. ... That [exchange into local currency] is where youre vulnerable to being identified.

The fact that stolen funds can be tracked in this way doesnt necessarily mean that the hackers who stole them can be brought to justice, of course. The anonymity of cryptocurrency means that it is often impossible for law enforcement agencies to uncover the true identity of ransomware hackers, though of course there are exceptions.

Chief among these, according to Coin Center, is that the blockchain allows one to trace all transactions involving a given bitcoin address, all the way back to the first transaction. That gives law enforcement the records it needs to follow the money in a way that would never be possible with cash.

Because of that, and also in response to a number of recent high-profile ransomware attacks, some have called for cryptocurrency to be regulated more closely. Regulation will need to be implemented carefully, however, because one of the major attractions of cryptocurrency for ordinary citizens and hackers alike is the fact that it is anonymous.

This means that attempts to regulate the space may make catching criminals even more difficult. As pointed out by Will Ellis, head of research at community advocacy group Privacy Australia, cryptocurrency bans led to a rise in VPN use, as investors seek to circumvent Know Your Customer and Anti-Money Laundering requirements in their home countries.

In addition, most governments simply dont have the understanding or the resources to regulate the crypto space effectively. Some are so far behind that they arent even certain how to define what cryptocurrencies are. In this context, it is difficult to see how the close link between ransomware and cryptocurrency can ever be broken.

Related: From the UK to Malaysia: How Countries Have Been Classifying Crypto Across the World

The lack of governmental oversight of cryptocurrency, combined with the rapid rise in ransomware attacks, means that individuals need to protect themselves.

Some companies and individuals have taken unusual approaches. Companies have stockpiled Bitcoin not as an investment, but rather in case they need to pay a ransom as part of a future attack. Some enterprising individuals have even taken matters into their own hands, such as the German programmer who hacked back following a cyberattack using his own systems.

For most of us, though, protecting against ransomware attacks means doing the basics correctly. You should ensure that all of your systems are up to date, subscribe to a secure cloud storage provider and backup frequently. Companies of all sizes should partner with a managed security services provider to monitor enterprise networks, perform risk assessments and make recommendations specific to their data environment.

Ultimately, the relationship between cryptocurrency and ransomware is unlikely to be broken anytime soon. And while cryptocurrencies are certainly involved in the majority of ransomware attacks, we should not make the mistake of blaming crime on the currency it is conducted in.

The views, thoughts and opinions expressed here are the authors alone and do not necessarily reflect or represent the views and opinions of Cointelegraph.

Sam Bocetta is a freelance journalist specializing in U.S. diplomacy and national security, with an emphasis on technology trends in cyber warfare, cyber defense and cryptography. Previously, Sam was a defense contractor for the United States Department of Defense, working in partnership with architects and developers to mitigate controls for vulnerabilities identified across applications.

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Cryptocurrency Market Update: Dash and Monero edge above Bitcoin to lead a remarkable recovery – FXStreet

Posted: at 6:41 am

Digital assets in the cryptocurrency market are maintaining a bullish momentum and trend for the second day in a row. Although there were setbacks over the weekend as prices retreated from Fridays highs, this weeks potential and recovery optimism remain high.

According to the data provided by CoinMarketCap, the recovery across the board has seen the total market cap grow by $22 billion from $163 billion recorded on Monday to $185 billion at the time of writing. The trading volume has also grown significantly from $131 billion to $162 in the same period. Bitcoins dominance has also grown by 0.7% from 65% as reported on Monday to 65.7%.

While Bitcoin is in the green with gains more than 3%, it is not the best performing cryptocurrency. Monero(XMR) is leading the recovery in the market with over 15% in gains followed closely by Dash (DASH) with gains more than 12%. Ethereum Classic (ETC) and Ripple (XRP) are not very far behind due to their 7.7% and 7.39% respective growth on the day.

BTC/USD is trading at $6,744 after touching $6,861 (intraday high). Bulls are largely in control but the sellers are keen to ensure that Bitcoin does not break above $7,000. If the critical resistance at $7,000 is overcome, I expect a technical breakout with gains eyeing $8,000.

DASH/USD is trading at $70.27 after adjusting lower from an intraday high of $71.57. The prevailing trend is strongly bullish. At the same time, the bullish momentum is supported by the expanding volatility and volume. In other words, Dash price is likely to soar especially if the rest of the market is moving higher.

XMR/USD remains at the helm of the crypto market recovery on Tuesday. It is trading at $44.10 after correcting from $44.4 (intraday high). The bulls are in the driver seat owing to the strong bullish momentum and a sustained uptrend. Stability is expected in the coming sessions but bulls will most certainly push for more action above $50.

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Ranked: US cities with the most crypto owners – Decrypt

Posted: at 6:41 am

The city of Ashburn, Virginia has more cryptocurrency users per capita than anywhere else in the United States, but users in San Francisco are the wealthiest according to new research published last week by tax software startup CoinTracker.

The startup said it examined tens of thousands of anonymized user accounts to present a snapshot of US crypto users by location, wealth and their favorite cryptocurrencies.

The data suggest that more than 50% of cryptocurrency users hold Bitcoin, and nearly 30% have Ether, the second-most popular cryptocurrency by market cap.

The mid-Atlantic tech hub Ashburn, VA had the most users per capita, followed by Redmond, Washington, the headquarters of Microsoft.

US cities with most crypto owners per capita. Source: CoinTracker

But larger cities dominated when it came to total number of crypto holders, with San Francisco coming first, followed by New York and Los Angeles.

US cities with most crypto owners. (Image: CoinTracker)

San Francisco is also home to the wealthiest cryptocurrency holders. The average user has over $55,000 in their crypto portfolio. In fact, the Bay Area dominates the list of places with the wealthiest users, with San Francisco, Palo Alto, Santa Clara and San Mateo capturing each of the top four spots.

US cities with the richest crypto owners. (Image: CoinTracker)

San Francisco users also standout as having made over half of their crypto wealth from Ethereum, according to the CoinTracker data. But San Diego leads the country in concentration of Ether wealth, with 66% of users owning the cryptocurrency.

CoinTracker said its data was obtained from people who used the companys services for calculating crypto taxes between 2013 and 2020. The startup was launched in 2017 and is backed by investors including former Coinbase CTO Balaji S. Srinivasan, tennis ace Serena Williams. YCombinator, and Initialized Capital.

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Thousands of These Computers Were Mining Cryptocurrency. Now They’re Working on Coronavirus Research – CoinDesk

Posted: at 6:41 am

CoreWeave, the largest U.S. miner on the Ethereum blockchain, is redirecting the processing power of 6,000 specialized computer chips toward research to find a therapy for the coronavirus.

These graphics processing units (GPUs) will be pointed toward Stanford University's Folding@home, a long-standing research effort that unveiled a project on Feb. 27 specifically to boost coronavirus research by way of a unique approach to developing pharmaceutical drugs: connecting thousands of computers from around the world to form a distributed supercomputer for disease research.

CoreWeave co-founder and Chief Technology Officer (CTO) Brian Venturo said the project has at least a shot at finding a drug for the virus. As such, CoreWeave has responded by doubling the power of the entire network with its GPUs, which are designed to handle repetitive calculations.

According to Venturo, those 6,000 GPUs made up about 0.2 percent of Ethereum's total hashrate, earning roughly 28 ETH per day, worth about $3,600 at press time.

There is no cure for the coronavirus just yet (though various groups are working on vaccines and research to combat the disease, including IBM's supercomputer). Venturo noted that Folding@home has been used to contribute to breakthroughs in the creation of other important drugs.

"Their research had profound impacts on the development of front-line HIV defense drugs, and we are hoping our [computing power] will aid in the fight against coronavirus," Venturo said.

The coronavirus is taking a toll across the world. Italy and Spain are on lockdown. Conferences, stores and restaurants are closing to stem the spread of the disease; by stoking fears, it's slamming the financial markets in the process.

World computer

When the idea of using GPUs for coronavirus research was mentioned to CoreWeave, the team didn't think twice.

They had a test system up and running "within minutes," Venturo said. Since then, the project quickly snowballed. CoreWeave has been contributing over half of the overall computing power going into the coronavirus wing of Folding@home.

"The idea of 'should we do this?' was never really brought up, it kind of just happened. We were all enthusiastic that we might be able to help," Venturo added.

Folding@home is a decentralized project in the same vein as Bitcoin. Instead of one research firm alone using a massive computer to do research, Folding@home uses the computing power of anyone who wants to participate from around the world even if it's just a single laptop with a little unused computing power to spare.

In this case, the computing power is used to find helpful information relating to the coronavirus. Much like in bitcoin mining, one user might detect a "solution" to the problem at hand, distributing this information to the rest of the group.

"Their protein simulations attempt to find potential 'pockets' where existing [U.S. federal agency Food and Drug Administration (FDA)] approved drugs or other known compounds could help inhibit or treat the virus," Venturo said.

Viruses have proteins "that they use to suppress our immune systems and reproduce themselves. To help tackle coronavirus, we want to understand how these viral proteins work and how we can design therapeutics to stop them," a Folding@home blog post explains.

Simulating these proteins and then looking at them from different angles helps scientists to understand them better, with the potential of finding an antidote. Computers accelerate this process by shuffling through the variations very quickly.

"Our specialty is in using computer simulations to understand proteins moving parts. Watching how the atoms in a protein move relative to one another is important because it captures valuable information that is inaccessible by any other means," the post reads.

Long shot

Folding@home could use even more power. Venturo urges other GPU miners to join the cause.

Even without these calls for participation, though, miners of other cryptocurrencies are already independently taking action. Tulip.tools founder Johann Tanzer put out a call to action to Tezos bakers (that blockchains equivalent of miners) last week, promising to send the leading contributor to Folding@home a modest 15 XTZ, worth roughly $20 at press time.

The initiative blew up, to Tanzer's surprise. Though they might not be contributing as much power as CoreWeave, 20 groups of Tezos miners are now contributing a slice of their hashing power to the cause. Tanzer's pot has swelled to roughly $600 as Tezos users caught wind of the effort and donated.

But that's not to say all miners can participate. While GPUs are flexible, application-specific integrated circuits (ASICs), a type of chip designed specifically for mining, aren't, according to Venturo. Though ASICs are more powerful than GPUs, they're really only made for one thing: To mine cryptocurrency. This is one advantage Venturo thinks Ethereum has over Bitcoin, since GPU mining still works on the former, whereas the latter is now dominated by ASICs.

"This is one of the great things about the Ethereum mining ecosystem, it's basically the largest GPU compute resource on the planet. We were able to redeploy our hardware to help fight a global pandemic in minutes," Venturo said. (However, it's worth noting that Ethereum has seen ASICs enter the fray. Not to mention, ether miners might soon go extinct when a pivotal upgrade makes its way into the network.)

ASICs are useless for the Folding@Home effort, but if bitcoin miners have old GPUs lying around from the early days that they could contribute, too.

Even if other miners join up, though, it's still a long shot that the effort will lead to a helpful drug.

"After discussing with some industry experts [...] we believe the chance of success in utilizing the work done on Folding@Home to deliver a drug to market to be in the 2-5% range," Venturo said.

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Thousands of These Computers Were Mining Cryptocurrency. Now They're Working on Coronavirus Research - CoinDesk

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