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North Korean Hackers Accused Of Biggest Cryptocurrency Theft Of 2020Their Heists Are Now Worth $1.75 Billion – Forbes

North Korea's hacking crews are causing carnage in the cryptocurrency market and one has been blamed for stealing $250 million-worth of virtual coins from one exchange in 2020.

A North Korean hacker crew called Lazarus Group has been accused of carrying out a heist on cryptocurrency exchange KuCoin, dubbed the biggest cryptocurrency theft of last year at $275 million worth of virtual money. That figure represented half of all cryptocurrency stolen in 2020, according to cryptocurrency tracker and law enforcement contractor Chainalysis, which exclusively revealed its attribution of the huge attack to Forbes ahead of the release of its own research report on Tuesday.

The hack of Singapore-based KuCoin, which lets people trade Bitcoin, Ethereum and other cryptocurrency, also took Lazarus illicit winnings up to $1.75 billion, Chainalysis claimed. Its feared that North Korea is using stolen cryptocurrency to fund its nuclear initiatives, whilst also causing serious losses to the burgeoning virtual economy. Meanwhile, the thefts are helping prop up North Koreas flagging economy, which has reportedly taken a severe hit thanks to the Covid-19 crisis. CNN reported on a confidential U.N. document on Tuesday, which suggested that North Korea had stolen a total of $316.4 million from financial institutions and virtual currency companies between 2019 and November 2020 to support its warfare and economic plans.

Chainalysis said it was able to attribute the KuCoin hack to the North Korean hacking group by looking at how the stolen funds were laundered. Lazarus Group, previously blamed for the infamous Sony Pictures hack of 2014 amongst many other attacks on cryptocurrency exchanges, has a unique way in which it sends money to mixers. Those mixers mix up cryptocurrency into different accounts in order to make tracking of funds more difficult. The size, and the way that funds are sent to mixers is extremely specific, and it's like a fingerprint, said Kim Grauer, who led Chainalysis research into the KuCoin attack.

Grauer thinks North Koreas cryptocurrency thefts could be filling huge holes in the countrys coffers. COVID in particular has further continued to devastate the North Korean economy and so we think that... the country may be becoming increasingly dependent on hacking for just funding, period, Grauer added. When you think about $1.75 billion, it's a very significant amount of money for that country considering their GDP.

The KuCoin breach took place in September 2020, and the exchange offered rewards of up to $100,000 to anyone who could provide valid information to us regarding this incident. Later, KuCoin CEO and founder Johnny Lyu claimed $201 million in cryptocurrency had been recovered as of October 3 and said perpetrators had been caught. This February, Lyu said in a blog post that it had cooperated with exchange and project partners to recover $222 million (78%), and cooperated with law enforcements and security institutions to recover $17.45 million (6%). At the same time, KuCoin and our insurance fund covered the remaining part, about $45.55 million (16%). In the end, we ensured that no users sustained any loss in this incident.

KuCoin, which claims to have over six million registered users, told Forbes that while its working with law enforcement and security agencies to track the suspects, no more details can be announced at the moment, per their request. Chainalysis said it had shared its findings relating to the North Korean attribution with KuCoin, but declined to provide any more detail on its work with the exchange.

The news comes hot on the heels of a Google warning that another crew of alleged North Korean hackers had attacked security researchers via what may have been a Chrome zero-day exploit - an attack on an unpatched vulnerability or string of vulnerabilities.

With a mix of more sophisticated digital attacks and huge thefts of cryptocurrency, North Koreas investment in offensive cybersecurity is proving to be reaping rewards for Kim Jong-uns regime, whilst costing victims their privacy and, in some cases, their crypto wealth.

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OLB Group Announces Plan to Offer Cryptocurrency Payment Options via Blockchain Technology on its OMNICOMMERCE Platform and SecurePay TM Gateway -…

OLBs SecurePay TM Payment Gateway to Enable Merchants to Seamlessly Offer Cryptocurrency Payments

The OLB Group, Inc. (NASDAQ: OLB), a provider of cloud-based omnicommerce and payment acceptance solutions for small and mid-size merchants, announced it has upgraded its SecurePay payment gateway system to support Cryptocurrencies including Bitcoin, Ethereum, USDC and DAI across all merchant platforms. Merchants utilizing the OLB SecurePay gateway service or the OmniSoft cloud-based business management platform will immediately have the option to accept these alternative contactless payment methods without any equipment changes. Our systems will be wallet agnostic and, integrating them with third-party software, customers will be able to seamlessly pay with Cryptocurrency wallets such as MetaMask TM, Coinbase Wallet TM, Crypto.com and Trust Wallets TM.

Ronny Yakov, CEO of OLB, said, "Providing all the latest technologies and tools to merchants is our top priority. It is imperative to adjust to these times as the world becomes further integrated with digital currencies. By enabling our merchants the ability to accept digital payments, it will also help enhance the funds available for every merchant that opts in, as these forms of payments settle instantly, providing small businesses with more flexibility and agility. By 2027, the global payments industry is projected to be 8.94 Trillion USD and according to Statista there are 66 million users of Cryptocurrency wallets, according to Fortune Business Insights"

SercurePay is compatible with mobile, tablet-based and cloud infrastructure and will be integrated into the merchants current payment ecosystem, in order to enable the acceptance of Cryptocurrency payments. Merchants interested in implementing omnicommerce services or accepting crypto within their existing payment infrastructure can set up an account at https://cryptoaccept.com

For more information about The OLB Group, please visit http://www.olb.com or http://www.olb.com/investors-data .

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Future OLB Press Releases and Updates

Interested investors or shareholders can be notified of future Press Releases and Industry Updates by e-mailing investorrelations@OLB.com .

Safe Harbor Statement

All statements from The OLB Group, Inc. in this news release that are not based on historical fact are "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995 and the provisions of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements include, but are not limited to, statements concerning the impact of COVID-19 on our operations and financial condition, our ability to implement our proprietary merchant boarding and CRM system and to roll out our Omni Commerce and SecurePay applications, including payment methods, to our current merchants and the integration of our secure payment gateway with our crowdfunding platform. While the Companys management has based any forward-looking statements contained herein on its current expectations, the information on which such expectations were based may change. These forward-looking statements rely on a number of assumptions concerning future events and are subject to a number of risks, uncertainties, and other factors, many of which are outside of our control, that could cause actual results to materially differ from such statements. Such risks, uncertainties, and other factors include statements regarding the expected revenue and income for operations to be generated by The OLB Group, Inc. For other factors that may cause our actual results to differ from those that are expected, see the information under the caption "Risk Factors" in the Companys most recent Form 10-K and 10-Q filings, and amendments thereto, as well as other public filings with the SEC since such date. The Company operates in a rapidly changing and competitive environment, and new risks may arise. Accordingly, investors should not place any reliance on forward-looking statements as a prediction of actual results. The Company disclaims any intention to, and undertakes no obligation to, update or revise any forward-looking statement.

About The OLB Group, Inc.

The OLB Group, Inc. is a payment facilitator and commerce service provider that delivers cloud-based merchant services for web-based and brick-and-mortar organizations. OLB provides a seamless, end-to-end digital commerce solution that includes site creation, hosting, transaction processing and payment gateway, order fulfillment, customer service, outbound marketing, sales reporting, and fundraising. With services from private label shopping sites designed to maintain the unique look or feel of the merchant website, to order fulfillment and customer service, OLB remains invisible to the user and promotes the merchants brand with market-leading technology and solutions. For more information about solutions, services, or to find a reseller, please visit http://www.olb.com . Investor information is available at http://www.olb.com/investors-data .

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Contacts

The OLB Group - Investor RelationsInvestorRelations@olb.com (212) 278-0900 EXT: 333

RedChip Companies Inc.Dave Gentry407-491-4498Dave@redchip.com

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5 Things To Consider When Choosing A Cryptocurrency Exchange – Yahoo Finance

InvestorPlace

As Im preparing my latest article about Nio (NYSE:NIO), the hard-charging Chinese manufacturer of electric vehicles (EVs), Nio stock trades for $60. That values the company at $93.6 billion, good for the fifth spot amongst the worlds largest automakers by market capitalization. Source: Sundry Photography / Shutterstock.com On Feb. 1o, Deutsche Bank analyst Edison Yu reiterated his buy rating and $70 price target. By hitting Yus target, Nio could become the third-largest automaker in the world. Heres why Volkswagen (OTCMKTS:VWAGY) and BYD (OTCMKTS:BYDDF) ought to be looking in their rearview mirrors. InvestorPlace - Stock Market News, Stock Advice & Trading Tips Much Has Changed for Nio Stock in the Past Year Approximately 15 months ago, I didnt have much good to say about the upstart EV manufacturer: As Taulli [InvestorPlace contributor Tom Taulli] points out, the companys burning through cash at such a rate, any future equity or debt financing arrangements will be highly one-sided for the entity providing the lifeline and terrible for current shareholders. Nios Altman Z-Score, a predictor of future bankruptcy, is -4.45 at the current moment. Thats nowhere near where it needs to be to give investors a warm, fuzzy feeling. I wish I had better news for shareholders of Nio stock. But you cant put lipstick on a pig. Of course, in hindsight, we know that Nio snagged $1 billion in critical financing less than five months later, and the rest is history. Forever, that will be known as the turning point for the company. So, by June 2020, I fully converted from skeptic to enthusiast, suggesting a double-digit stock price by the end of the year was totally realistic. It finished 2020, just shy of $50. Its amazing what a billion dollars will do for your confidence. A 17% Gain Puts Nio At or Near Third Spot Based on the analysts 12-month target price of $70, the price of Nio stock only has to appreciate by 17% over the next year to hit the target. At the rate its growing, that seems like a slam dunk. Nio recently announced further collaboration with the Hefei municipal government, the same people who rescued the company from crashing in April 2020. As part of this collaboration, the Hefei government plans to reinvest the returns from their equity investment in Nio to further support EV production in the city. Hefei is focusing on making the city a hotspot for all things EV. As part of this expansion, the city will build the Hefei Xinqiao Smart Electric Vehicle Industrial Park. Importantly, Nio plans to use this park as the foundation for building its global growth. Yu said: This lays the groundwork for capacity expansion to help NIO reach its +300k longer term volume target or nearly 3x current capacity. Details were not provided on financing sources, but we suspect there will be large support in the form of bank credit lines or arrangements similar in nature. A little success and the lenders are falling all over themselves to get in on the action. Whats the old saying? A banker will always give you an umbrella when the sun is shining and theres not a cloud in the sky. Anyway, a $70 share price puts Nios market cap at $109 billion, about the same value as BYDs current market cap. However, I think its fair to say that if Nio moves higher over the next 12 months, then BYD and Volkswagen, not too far behind at $107 billion, should too. Its Got to Go to $80 or Higher to Grab the Third Spot Based on 1.56 billion shares outstanding, an $80 share price by this time next year puts its market cap at $125 billion, giving it a little breathing room over its two peers. Can it get there? I think it can gain 34% over the next 12 months to get to the magic number. Heres how. In 2020, Nio delivered 43,728 vehicles. Based on its current market cap of $93.6 billion, thats $2.14 million per delivered vehicle. In 2019, it delivered 20,565 vehicles. It had 831.9 million shares outstanding as of Dec. 31, 2019, and a share price of $3.72. Thats $150,482 per delivered vehicle. Im going to assume that Nio doubles its deliveries once more in 2021. So, based on $93.6 billion, thats $1.07 million for each of the 87,456 estimated vehicle deliveries in 2021. However, Nio could have a fourth vehicle, the EE7 sedan, in production by the fourth quarter, most certainly adding to these numbers. Also, its got a fifth vehicle on the drawing board for 2022. So, based on $1.07 million per delivered vehicle, it will have to deliver 116,822 vehicles in 2021. While possible, I think thats pushing it. Assuming a vehicle delivery number roughly halfway between 87,456 and 113,636 and $1.65 million per delivered vehicle [halfway between $1.1 million and $2.2 million] and we get 100,546 vehicles delivered at $1.65 million for a market cap of $166 billion or $106.40 per share [1.56 billion outstanding]. I cant believe Im saying this, but I think its got an excellent chance of blowing through Yus target on its way to the third spot in the global pecking order. Long term, Nios a buy. On the date of publication, Will Ashworth did not have (either directly or indirectly) any positions in the securities mentioned in this article. Will Ashworth has written about investments full-time since 2008. Publications where hes appeared include InvestorPlace, The Motley Fool Canada, Investopedia, Kiplinger, and several others in both the U.S. and Canada. He particularly enjoys creating model portfolios that stand the test of time. He lives in Halifax, Nova Scotia. At the time of this writing Will Ashworth did not hold a position in any of the aforementioned securities. More From InvestorPlace Why Everyone Is Investing in 5G All WRONG Top Stock Picker Reveals His Next Potential Winner It doesnt matter if you have $500 in savings or $5 million. Do this now. #1 Play to Profit from Biden's Presidency The post An $80 Price Would Drive Nio To Become the Third-Largest Automaker appeared first on InvestorPlace.

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If cleared, Cryptocurrency Bill will impose ban on cryptocurrency deals – India Legal

TheCryptocurrencyand Regulation of Official Digital Currency Bill, 2021, ifcleared by the parliament, willimpose a blanket ban on the transaction ofcryptocurrencyby corporations and individuals.The bill is likely to be placed before the ongoing budget session of the Parliament.

In May 2018, the RBI via a circular directed allinstitutions regulated by itnottodeal in virtualcurrenciesandnottoprovide any facility to persons dealing with them.

The Supreme Court, however, in March 2020 overturned the RBIs circular permitting banks to handle crypto transactions from individuals, corporations or any other entity.

This bill comes as a bold move as there are no other governments around the world that have expressed the intention to ban virtual currencies all-together as a strategy to maintain the stability of the economy.

There is no doubt that the new form of digital currency has posed different problems for the existing financial system while illuminating the possibility ofprivatisationof monetary systems around the world. This according to some experts is a threat to the stability of the economy.

In Parliament, Minister of State for Finance and Corporate Affairs AnuragThakur said,Regulatory bodies like Reserve Bank of India (RBI) and Securities and Exchange Board of India (Sebi) dont have a legal framework to directly regulatecryptocurrenciesas they are neither currencies nor securities or commodities issued by an identifiable user.

Thakurhasfurthersaidthat the existing laws are insufficient to deal with this matter and that an inter-ministerial panel has been formed by the government.

This committee has submitted a report, following which there will be a meeting of the empowered technology group. The committee of secretaries has also given its report, and now the bill is beingfinalizedbefore its sent to the Cabinet, saidThakur.

Crypto currencies exchange has seen a huge increase of over 310% in 2020 withbitcoinbeing the most popular (valued around INR 34,33,476.81)Crypto experts have given the good news to the crypto holders in India that even if the ban is implemented they will still have the option of international exchange to trade their holdings and there will be no loss of money. However, the experts have warned that the ban will significantly reduce the value ofcrypto currenciesas it will directly impact the demands. So, it could be a wise move for Indians to trade their crypto holdings as soon as possible to prepare for the eventuality of the ban coming into force and their being huge losses in terms of the value of their holdings.

An estimated 70,00,000Indians have crypto holdings worth over $1 Billion.

Kevin Lim, Assistant Professor of Economics,Universityof Toronto, believes the ban on crypto currencies would merely mean a ban on its usage in transactions in the real economy for exchange of goods and services and its usage for transferring value between persons.

This would mean it would be perfectly legal for individuals to hold and trade crypto as an investment transaction.

-India Legal Bureau

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Cryptocurrency Market to be Driven by Increasing Adoption of e-financial Services, says Fortune Business Insights – Yahoo Finance

List of the Companies Profiled in the Market: Microsoft Corporation, BitFury Group Limited, Advanced Micro Devices, Inc., Ripple Labs Inc., Intel Corporation, NVIDIA Corporation, Coinbase Ltd., AlphaPoint Corporation, Xilinx Inc., BitGo, and BTL Group Ltd

Pune, India, Feb. 11, 2021 (GLOBE NEWSWIRE) -- The global cryptocurrency market to gain from increasing Internet penetration worldwide. Recently Fortune Business Insights has announced a report titled, Cryptocurrency Market Size, Share and Global Trend by Component (Software, Services), Process (Transaction, Mining), Type (Bitcoin, Etherum, Litecoin, Ripple, Dashcoin), End User, and Geography Forecast till 2025. As per the report North America was leading the global cryptocurrency market in 2017. The growth witnessed is attributable to high adoption of digital currency in the region. The trend is unlikely to change and North America may lead the global cryptocurrency market through the forecast period.

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The rising demand for online financial services in the region is likely to contribute the growth of the market in North America. Besides this, North America holds 27% participants, 39% of wallets, 18% transactions, and 19% of cryptocurrency paymen companies. This is a primary reason behind the high demand witnessed in the region. It also facilitates the higher adoption of cryptocurrency. The cryptocurrency market in Asia pacific is anticipated to expand at a relatively higher CAGR. The growth witnessed is attributable to increasing number of cryptocurrency transactions taking place in the region. Japan is known for major investments in cryptocurrency. Rising investments cryptocurrency have resulted in the formation of new laws for legalization of cryptocurrency under financial service agency. This is a major step taken by Japan and is expected to boost the Asia Pacific cryptocurrency market.

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Europe is also amongst the leading regions in the global cryptocurrency market. The growth witnessed is attributable to high adoption of e-financial services in the region. Moreover, Germany issued a statement to consider cryptocurrency as private currency without any payable taxes, unless held for a year or more. Tax and other benefits from cryptocurrency is expected to fuel the demand for cryptocurrency and increase the number of owners globally.

Adoption of e-wallets to Drive Market

Government initiated awareness programs regarding cryptocurrency in developing and undeveloped nations are anticipated to enable growth in the global cryptocurrency market, said a lead analyst at Fortune Business Insights.

Some of the chief factors expected to drive the global cryptocurrency market during the forecast period 2018-2025 are rising adoption of e-wallets and consumer shift towards online platforms. Additionally, cashback, promotional, and other offers on e-currency is a factor anticipated to fuel the demand in the global market.

On the contrary, requirement of a good network connection and high cost data tariff plans are a few factors that may hamper the growth in the global cryptocurrency market.Click here to get the short-term and long-term impact of COVID-19 on this Cryptocurrency Market.

Please visit: https://www.fortunebusinessinsights.com/industry-reports/cryptocurrency-market-100149

Increasing Focus on Acquisitions aimed at Leading the Global Market

Rapid technological developments taking place in e-currency and its services is a factor anticipated to propel the growth in the global cryptocurrency market. Additionally, mergers and acquisitions taking place in the global market are likely to propel the growth rate. For instance, Tron acquired a California based company, BitTorrent in 2018 for US$ 150 Mn. In October, 2018 a Belgian based investment firm NXMH acquired Bitstamp a crypto exchange for US$ 350 Mn. The competition among the global cryptocurrency market players is very high.

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List of the Companies Profiled in the Cryptocurrency Market:

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Blockchain in BFSI Market Size, Share And Global Trend By Type (Private Blockchain, Public Blockchain, Consortium Blockchain), By Application (Smart Contracts, Security, Trade Finance, Digital Currency, Record Keeping, GRC Management, Identity Management and Fraud Detection), And Geography Forecast Till 2021-2028

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Our reports contain a unique mix of tangible insights and qualitative analysis to help companies achieve sustainable growth. Our team of experienced analysts and consultants use industry-leading research tools and techniques to compile comprehensive market studies, interspersed with relevant data.

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Mental health diagnoses and the role of machine learning – Health Europa

It is common for patients with psychosis or depression to experience symptoms of both conditions which has meant that traditionally, mental health diagnoses have been given for a primary illness with secondary symptoms of the other.

Making an accurate diagnosis often poses difficulties to mental health clinicians and diagnoses often do not accurately reflect the complexity of individual experience or neurobiology. For example, a patient being diagnosed with psychosis will often have depression regarded as a secondary condition, with more focus on the psychosis symptoms, such as hallucinations or delusions; this has implications on treatment decisions for patients.

A team at the University of Birminghams Institute for Mental Health and Centre for Human Brain Health, along with researchers at the European Union-funded PRONIA consortium, explored the possibility of using machine learning to create extremely accurate models of pure forms of both illnesses and using these models to investigate the diagnostic accuracy of a cohort of patients with mixed symptoms. The results of this study have been published in Schizophrenia Bulletin.

Paris Alexandros Lalousis, lead author, explains that the majority of patients have co-morbidities, so people with psychosis also have depressive symptoms and vice versa That presents a big challenge for clinicians in terms of diagnosing and then delivering treatments that are designed for patients without co-morbidity. Its not that patients are misdiagnosed, but the current diagnostic categories we have do not accurately reflect the clinical and neurobiological reality.

The researchers analysed questionnaire responses and detailed clinical interviews, as well as data from structural magnetic resonance imaging from a cohort of 300 patients taking part in the study. From this group of patients, they identified small subgroups of patients, who could be classified as suffering either from psychosis without any symptoms of depression, or from depression without any psychotic symptoms.

With the goal of developing a precise disease profile for each patient and testing it against their diagnosis to see how accurate it was, the research team was able to identify machine learning models of pure depression, and pure psychosis by using the collected data. They were then able to use machine learning methods to apply these models to patients with symptoms of both illnesses.

The team discovered that patients with depression as a primary illness were more likely to have accurate mental health diagnoses, whereas patients with psychosis with depression had symptoms which most frequently leaned towards the depression dimension. This may suggest that depression plays a greater part in the illness than had previously been thought.

Lalousis added: There is a pressing need for better treatments for psychosis and depression, conditions which constitute a major mental health challenge worldwide. Our study highlights the need for clinicians to understand better the complex neurobiology of these conditions, and the role of co-morbid symptoms; in particular considering carefully the role that depression is playing in the illness.

In this study we have shown how using sophisticated machine learning algorithms, which take into account clinical, neurocognitive, and neurobiological factors can aid our understanding of the complexity of mental illness. In the future, we think machine learning could become a critical tool for accurate diagnosis. We have a real opportunity to develop data-driven diagnostic methods this is an area in which mental health is keeping pace with physical health and its really important that we keep up that momentum.

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There Is No Silver Bullet Machine Learning Solution – Analytics India Magazine

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A recommendation engine is a class of machine learning algorithm that suggests products, services, information to users based on analysis of data. Robust recommendation systems are the key differentiator in the operations of big companies like Netflix, Amazon, and Byte Dance (TikTok parent) etc.

Alok Menthe, Data Scientist at Ericsson, gave an informative talk on building Custom recommendation engines for real-world problems at the Machine Learning Developers Summit (MLDS) 2021. Whenever a niche business problem comes in, it has complicated intertwined ways of working. Standard ML techniques may be inadequate and might not serve the customers purpose. That is where the need for a custom-made engine comes in. We were also faced with such a problem with our service network unit at Ericsson, he said.

Menthe said the unit wanted to implement a recommendation system to provide suggestions for assignment workflow a model to delegate the incoming projects to the most appropriate team or resource pool

Credit: Alok Menthe

There were three kinds of data available:

Pool definition data: It relates to the composition of a particular resource poolthe number of people, their competence, and other metadata.

Historical demand data: This kind of data helps in establishing a relationship between the feature demand and a particular resource pool.

Transactional data: It is used for operational purposes.

Menthe said building a custom recommendation system in this context involves the following steps:

Credit: Alok Menthe

After building our model, the most difficult part was feature engineering, which is imperative for building an efficient system. Among the two major modules classification and clusteringwe faced challenges with respect to the latter. We had only categorical information making it difficult to find distances within the objects. We went out of the box to see if we can do any special encoding for the data. We adopted data encoding techniques and frequency-based encoding in this regard, said Menthe.

Clustering module: For this module, initially the team implemented K-modes and agglomerative. However, the results were far from perfect, prompting the team to consider the good-old K-means algorithm. For evaluation purposes, it was done manually with the help of subject matter experts.

The final model had 700 resource pools condensed to 15 pool clusters.

Classification module: For this module, three kinds of algorithm iterations were usedRandom Forest, Artificial Neural Network, XGBoost. Classification accuracy was used as an evaluation metric. Finally, upon 50,00,000 training records, this module demonstrated an accuracy of 71 percent.

Menthe said this recommendation model is monitored on a fortnightly basis by validating the suggested pools against the allocated pools for project demands:

The model has proved to be successful on three fronts:

Menthe summarised the three major takeaways from this project in his concluding remarks: the need to preserve business nuances in ML solutions; thinking beyond standard ML approaches; and understanding that there is no silver bullet ML solution.

I am a journalist with a postgraduate degree in computer network engineering. When not reading or writing, one can find me doodling away to my hearts content.

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Quantum Theory Proposes That Cause and Effect Can Go In Loops – Universe Today

Causality is one of those difficult scientific topics that can easily stray into the realm of philosophy. Sciences relationship with the concept started out simply enough: an event causes another event later in time. That had been the standard understanding of the scientific community up until quantum mechanics was introduced. Then, with the introduction of the famous spooky action at a distance that is a side effect of the concept of quantum entanglement, scientists began to question that simple interpretation of causality.

Now, researchers at the Universit Libre de Bruxelles (ULB) and the University of Oxford have come up with a theory that further challenges that standard view of causality as a linear progress from cause to effect. In their new theoretical structure, cause and effect can sometimes take place in cycles, with the effect actually causing the cause.

The quantum realm itself as it is currently understood is inherently messy. There is no true understanding of things at that scale, which can be thought of better as a set of mathematical probabilities rather than actualities. These probabilities do not exactly lend themselves well to the idea of a definite cause and effect interaction between events either.

The researchers further muddied the waters using a tool known as a unitary transformation. Simply put, a unitary transformation is a fudge used to solve some of the math that is necessary to understand complex quantum systems. Using it makes solving the famous Schrodinger equation achievable using real computers.

To give a more complete explanation requires delving a bit into the space that quantum mechanics operates in. In quantum mechanics, time is simply another dimension that must be accounted for similarly to how the usual three dimensions of what we think of as linear space are accounted for. Physicists usually use another mathematical tool called a Hamiltonian to solve Schrodingers equation.

A Hamiltonian, though a mathematical concept, is often time dependent. However, it is also the part of the equation that is changed when a unitary transformation is introduced. As part of that action, it is possible to eliminate the time dependency of the Hamiltonian, to make it such that, instead of requiring time to go a certain direction (i.e. for action and reaction to take place linearly), the model turns more into a circle than a straight line, with action causing reaction and reaction causing action.

If this isnt all confusing enough, there are some extremely difficult to conceive of implications of this model (and to be clear, from a macro level, it is just a model). One important facet is that this finding has little to no relevance to every day cause and effect. The causes and effects that would be cyclical in this framework are not local in spacetime, according to the press release from ULB, so they are unlikely to have any impact on day to day life.

Even if it doesnt have any everyday impact now, this framework could hint at a combined theory of quantum mechanics and general relativity that has been the most sought after prize in physics for decades. If that synthesis is ever fully realized, there will be more implications for everyday life than just the existential questions of whether we are actually in control of our own actions or not.

Learn More:Eureka Alert: Quantum Causal LoopsNature Communications: Cyclic Quantum Causal ModelsFlorida News Times: Quantum Causal LoopUT: The three-body problem shows us why we cant accurately calculate the past

Lead Image:Artist depiction of quantum causal loopsCredit: ULB

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The search for dark matter gets a speed boost from quantum technology – The Conversation US

Nearly a century after dark matter was first proposed to explain the motion of galaxy clusters, physicists still have no idea what its made of.

Researchers around the world have built dozens of detectors in hopes of discovering dark matter. As a graduate student, I helped design and operate one of these detectors, aptly named HAYSTAC. But despite decades of experimental effort, scientists have yet to identify the dark matter particle.

Now, the search for dark matter has received an unlikely assist from technology used in quantum computing research. In a new paper published in the journal Nature, my colleagues on the HAYSTAC team and I describe how we used a bit of quantum trickery to double the rate at which our detector can search for dark matter. Our result adds a much-needed speed boost to the hunt for this mysterious particle.

There is compelling evidence from astrophysics and cosmology that an unknown substance called dark matter constitutes more than 80% of the matter in the universe. Theoretical physicists have proposed dozens of new fundamental particles that could explain dark matter. But to determine which if any of these theories is correct, researchers need to build different detectors to test each one.

One prominent theory proposes that dark matter is made of as-yet hypothetical particles called axions that collectively behave like an invisible wave oscillating at a very specific frequency through the cosmos. Axion detectors including HAYSTAC work something like radio receivers, but instead of converting radio waves to sound waves, they aim to convert axion waves into electromagnetic waves. Specifically, axion detectors measure two quantities called electromagnetic field quadratures. These quadratures are two distinct kinds of oscillation in the electromagnetic wave that would be produced if axions exist.

The main challenge in the search for axions is that nobody knows the frequency of the hypothetical axion wave. Imagine youre in an unfamiliar city searching for a particular radio station by working your way through the FM band one frequency at a time. Axion hunters do much the same thing: They tune their detectors over a wide range of frequencies in discrete steps. Each step can cover only a very small range of possible axion frequencies. This small range is the bandwidth of the detector.

Tuning a radio typically involves pausing for a few seconds at each step to see if youve found the station youre looking for. Thats harder if the signal is weak and theres a lot of static. An axion signal in even the most sensitive detectors would be extraordinarily faint compared with static from random electromagnetic fluctuations, which physicists call noise. The more noise there is, the longer the detector must sit at each tuning step to listen for an axion signal.

Unfortunately, researchers cant count on picking up the axion broadcast after a few dozen turns of the radio dial. An FM radio tunes from only 88 to 108 megahertz (one megahertz is one million hertz). The axion frequency, by contrast, may be anywhere between 300 hertz and 300 billion hertz. At the rate todays detectors are going, finding the axion or proving that it doesnt exist could take more than 10,000 years.

On the HAYSTAC team, we dont have that kind of patience. So in 2012 we set out to speed up the axion search by doing everything possible to reduce noise. But by 2017 we found ourselves running up against a fundamental minimum noise limit because of a law of quantum physics known as the uncertainty principle.

The uncertainty principle states that it is impossible to know the exact values of certain physical quantities simultaneously for instance, you cant know both the position and the momentum of a particle at the same time. Recall that axion detectors search for the axion by measuring two quadratures those specific kinds of electromagnetic field oscillations. The uncertainty principle prohibits precise knowledge of both quadratures by adding a minimum amount of noise to the quadrature oscillations.

In conventional axion detectors, the quantum noise from the uncertainty principle obscures both quadratures equally. This noise cant be eliminated, but with the right tools it can be controlled. Our team worked out a way to shuffle around the quantum noise in the HAYSTAC detector, reducing its effect on one quadrature while increasing its effect on the other. This noise manipulation technique is called quantum squeezing.

In an effort led by graduate students Kelly Backes and Dan Palken, the HAYSTAC team took on the challenge of implementing squeezing in our detector, using superconducting circuit technology borrowed from quantum computing research. General-purpose quantum computers remain a long way off, but our new paper shows that this squeezing technology can immediately speed up the search for dark matter.

Our team succeeded in squeezing the noise in the HAYSTAC detector. But how did we use this to speed up the axion search?

Quantum squeezing doesnt reduce the noise uniformly across the axion detector bandwidth. Instead, it has the largest effect at the edges. Imagine you tune your radio to 88.3 megahertz, but the station you want is actually at 88.1. With quantum squeezing, you would be able to hear your favorite song playing one station away.

In the world of radio broadcasting this would be a recipe for disaster, because different stations would interfere with one another. But with only one dark matter signal to look for, a wider bandwidth allows physicists to search faster by covering more frequencies at once. In our latest result we used squeezing to double the bandwidth of HAYSTAC, allowing us to search for axions twice as fast as we could before.

Quantum squeezing alone isnt enough to scan through every possible axion frequency in a reasonable time. But doubling the scan rate is a big step in the right direction, and we believe further improvements to our quantum squeezing system may enable us to scan 10 times faster.

Nobody knows whether axions exist or whether they will resolve the mystery of dark matter; but thanks to this unexpected application of quantum technology, were one step closer to answering these questions.

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A Magnetic Twist to Graphene Could Offer a Dramatic Increase in Processing Speeds Compared to Electronics – SciTechDaily

Schematic of a valley-spiral in magnetically encapsulated twisted bilayer graphene. Credit: Jose Lado

By combining ferromagnets and two rotated layers of graphene, researchers open up a new platform for strongly interacting states using graphenes unique quantum degree of freedom.

Electrons in materials have a property known as spin, which is responsible for a variety of properties, the most well-known of which is magnetism. Permanent magnets, like the ones used for refrigerator doors, have all the spins in their electrons aligned in the same direction. Scientists refer to this behavior as ferromagnetism, and the research field of trying to manipulate spin as spintronics.

Down in the quantum world, spins can arrange in more exotic ways, giving rise to frustrated states and entangled magnets. Interestingly, a property similar to spin, known as the valley, appears in graphene materials. This unique feature has given rise to the field of valleytronics, which aims to exploit the valley property for emergent physics and information processing, very much like spintronics relies on pure spin physics.

Valleytronics would potentially allow encoding information in the quantum valley degree of freedom, similar to how electronics do it with charge and spintronics with the spin. Explains Professor Jose Lado, from Aaltos Department of applied physics, and one of the authors of the work. Whats more, valleytronic devices would offer a dramatic increase in the processing speeds in comparison with electronics, and with much higher stability towards magnetic field noise in comparison with spintronic devices.

Structures made of rotated, ultra-thin materials provide a rich solid-state platform for designing novel devices. In particular, slightly twisted graphene layers have recently been shown to have exciting unconventional properties, that can ultimately lead to a new family of materials for quantum technologies. These unconventional states which are already being explored depend on electrical charge or spin. The open question is if the valley can also lead to its own family of exciting states.

For this goal, it turns out that conventional ferromagnets play a vital role, pushing graphene to the realms of valley physics. In a recent work, Ph.D. student Tobias Wolf, together with Profs. Oded Zilberberg and Gianni Blatter at ETH Zurich, and Prof. Jose Lado at Aalto University, showed a new direction for correlated physics in magnetic van der Waals materials.

The team showed that sandwiching two slightly rotated layers of graphene between a ferromagnetic insulator provides a unique setting for new electronic states. The combination of ferromagnets, graphenes twist engineering, and relativistic effects force the valley property to dominate the behavior of the electrons in the material. In particular, the researchers showed how these valley-only states can be tuned electrically, providing a materials platform in which valley-only states can be generated. Building on top of the recent breakthrough in spintronics and van der Waals materials, valley physics in magnetic twisted van der Waals multilayers opens the door to the new realm of correlated twisted valleytronics.

Demonstrating these states represents the starting point towards new exotic entangled valley states. Said Professor Lado, Ultimately, engineering these valley states can allow realizing quantum entangled valley liquids and fractional quantum valley Hall states. These two exotic states of matter have not been found in nature yet, and would open exciting possibilities towards a potentially new graphene-based platform for topological quantum computing.

Reference: Spontaneous Valley Spirals in Magnetically Encapsulated Twisted Bilayer Graphene by Tobias M.R. Wolf, Oded Zilberberg, Gianni Blatter and Jose L. Lado, 4 February 2021, Physical Review Letters.DOI: 10.1103/PhysRevLett.126.056803

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