Category Archives: Quantum Computing

Healthcare Shopping: The new age of consumerism – The Financial Express

By Lalit Dash

Srishti, a 35-year-old HR professional, recently started experiencing palpitations and shortness of breath. While looking up on the Internet for information on the probable causes of her condition, she found an online health services platform where she could review portfolios of doctors and treatment options allowing her to shop for the best care provider and a treatment plan at a cost she could afford. Booking and paying for the appointment through the hospitals web interface made it easy for her to schedule the visit as per her convenience.

Post consultation she explored online pharmacies and got her medicine at the best rate, earning some loyalty points in the process. Srishtis situation could be ours. With the onset of digital transformation, the healthcare sector is witnessing a major overhaul. Today, an individual is not just a prospective patient, but a customer armed with a shopping list to select the best doctors, facilities and treatment at an affordable cost and at a time and location of her choice. The flow of information is no longer unidirectional (caregiver to care receiver) but bidirectional and consumer choices are made within and outside the clinical environment. This has led to the healthcare system to leapfrog from a legacy PDS (Public Distribution System) model to a supermarket model.

With an increased focus on the quality of consumer experience, healthcare companies are deploying technologies to make care delivery more accessible and personalised. Medical diagnostics, Internet of Medical Things (IoMT), Blockchain, Artificial Intelligence (AI) and data analytics are triggering disruptive innovations that are, in turn, redefining care paradigms.

Technology, as is evident, is a crucial cog in the evolution of consumerism in healthcare. Innovations in cloud computing, mobility solutions, telemedicine, and quantum computing are making their way into mainstream health operations. For instance, AI and ML are pushing this change through algorithms built for diagnostics of chronic diseases. Augmented reality/virtual reality (AR/VR)-led technology is already being put to use to set up virtual care systems that enable doctors to conduct surgeries in remote areas or during times of a public health emergency.

Natural Language Processing (NLP) technology a form of AI that enables computer programs to process and analyse unstructured data from different sources is extensively being used in technical documentation, leading to a faster diagnosis. Additionally, the gamification of healthcare particularly in-patient wellness is enhancing the customer (vs. patient) mindset and reciprocal engagement. Take for instance, mobile apps that run a rewards program for people who accomplish a health-related task every day or those that encourage participation of friends and family in fitness contests.

With the care providers focus shifting more towards value across customer lifecycle, there will be stronger collaboration between healthcare providers and customers for pre-, during- and post-care medical services. As healthcare consumerism continues to grow, healthcare providers will have to learn to adapt to this changing environment to guide and engage consumer as well as secure their loyalty. This will eventually lead to ease in access to care, reduced cost of care and enhanced quality of care benefitting many consumers such as Srishti.

The writer is senior director Technology, Optum Global Solutions

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Healthcare Shopping: The new age of consumerism - The Financial Express

Six things you need to learn about quantum computing in finance – eFinancialCareers

This willcome as bad news if you're only just getting to grips with Python, but you should probably be thinking of adding quantum computing to your repertoire if you want to maintain your long term employability in finance. Both Goldman Sachs and JPMorgan have been investigating the application of quantum computers to their businesses, and many say it's less a question of if than whenquantum computing is more widely applied.

Both Google and IBM are competing for quantum leadership. Google declared that it had achieved 'quantum supremacy' last October,a claimpromptly disputed by IBM, which said that Google's assertion was misleading. IBM itself now has 18 quantum computersthatcan be accessed via the cloud and that are already used by JPMorgan to set derivatives prices. In a new report*, IBM researchers includingDaniel Egger, Claudio Gambella,Jakub Marecek,Scott McFaddin, and Martin Mevissenargue that this is just the start.

Over time, the researchers say banks will use quantum computers for everything from creating value at risk and liquidity coverage ratios to running simulations to enable more accurate calculations of net stable funding ratios and pricing financial instruments. In preparation for this future they suggest you familiarize yourself with the following six quantum algorithms.

1. The Variational Quantum Eigensolver

The Variational Quantum Eigensolver (VQE) is used for optimization applications. It harnesses energy states to calculate the function of the variables it needs to optimize and is good whenstandard computers struggle due to the intensity of the computing required. In financial services, IBM says the VQE can be used in portfolio optimization. The only problem is that the number of qubits you need increases signficantly withproblem size.

2. The Quantum Approximate Optimization

TheQuantum Approximate Optimization is used to optimize combined problems and tond solutions to problems with complex constraints. IBM says it can be combined with VQE forportfolio optimization.

3. TheQuantum Amplitude Estimator

TheQuantum Amplitude Estimator(QAE) is used in simulations, optimizations and machine learning. It allows users to create simulation scenarios by estimating an unknown property in the style of the Monte Carlo method. Instead of simple samplying random distributions, the QAE can handle them directly and this dramatically speeds up simulation time. In finance, it can be used for option pricing, portfolio risk calculations,issuance auctions, anti-money laundering operations and identifying fraud.

4.Quantum Support Vector Machines

Quantum support vector machines (QSVM) applysupervised machine learning to high dimensional problem sets. Used for financial forecasting, they map data into a 'quantum-enhanced feature space' that enables the separation of data points and improvedforecastaccuracy.

5. Harrow, Hassidim, and Lloyd

Harrow, Hassidim, and Lloyd (HHL) is used for optimization and machine learning and enables better measurement of large linear systems by exponentially speeding up calculations. It can be used for credit scoring.

6.Quantum Semidenite Programming

Quantum Semidefinite Programming (QDSP) is used to optimize a linear objective over a set of positive semi-denite matrices. It can be used for portfolio diversification and "exponentially" speeds-up calculations when there are particular constraints.

As the financial services industry is subject to the combined demands of, "sophisticated risk analysis, dynamic client management, constant updates to market volatility, and faster transaction speeds," IBM's researchers predict quantum algorithms are primed for take-off. Now might be a good time to start familiarizing yourself with how they work.

*Quantum computing for Finance: state of the art and future prospects

Have a confidential story, tip, or comment youd like to share? Contact: sbutcher@efinancialcareers.com in the first instance. Whatsapp/Signal/Telegram also available. Bear with us if you leave a comment at the bottom of this article: all our comments are moderated by human beings. Sometimes these humans might be asleep, or away from their desks, so it may take a while for your comment to appear. Eventually it will unless its offensive or libelous (in which case it wont.)

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Six things you need to learn about quantum computing in finance - eFinancialCareers

Cybersecurity in the quantum era – ETCIO.com

By Tirthankar Dutta

On October 23rd, 2019, Google claimed that they had achieved Quantum supremacy by solving a particularly difficult problem in 200 seconds by using their quantum computer, which is also known as "sycamore." This performance was compared with a Supercomputer known as 'Summit" and built by IBM. According to Google, this classical computer would have taken 10,000 years to solve the same problem.

The advancement of large quantum computers, along with the more computational power it will bring, could have dire consequences for cybersecurity. It is well known that important problems such as factoring, whose considered hardness ensures the security of many widely used protocols (RSA, DSA, ECDSA), can be solved efficiently, if a quantum computer that is sufficiently large, "fault-tolerant" and universal, is developed. However, addressing the imminent risk that adversaries equipped with quantum technologies pose is not the only issue in cybersecurity where quantum technologies are bound to play a role.

Because quantum computing speeds up prime number factorization, computers enabled with that technology can easily break cryptographic keys by quickly calculating or exhaustively searching secret keys. A task considered computationally infeasible by a conventional computer becomes painfully easy, compromising existing cryptographic algorithms used across the board. In the future, even robust cryptographic algorithms will be substantially weakened by quantum computing, while others will no longer be secure at all:

There would be many disconnects on the necessity to change the current cryptographic protocols and infrastructure to counter quantum technologies in a negative way, but we can't deny the fact that future adversaries might use this kind of technology to their benefit. As it allows them to work on millions of computations in parallel, exponentially speeding up the time it takes to process a task.

According to the National, Academies Study notes, "the current quantum computers have very little processing power and are too error-prone to crack today's strong codes. The future code-breaking quantum computers would need 100,000 times more processing power and an error rate 100 times better than today's best quantum computers have achieved. The study does not predict how long these advances might takebut it did not expect them to happen within a decade."

But does this mean that we should wait and watch the evolution of quantum computing, or should we go back to our drawing board to create quantum-resistant cryptography? Thankfully, researchers have been working on a public-key cryptography algorithm that can counter code-breaking efforts by quantum computers. US National Institute of Standards and Technology (NIST) evaluating 69 potential new methods for what it calls "post-quantum cryptography." The institution expects to have a draft standard by 2024, which would then be added to web browsers and other internet applications and systems

No matter when dominant quantum computing arrives, it poses a large security threat. Because the process of adopting new standards can take years, it is wise to begin planning for quantum-resistant cryptography now.

The author is SVP and Head of Information Security at Infoedge.

DISCLAIMER: The views expressed are solely of the author and ETCIO.com does not necessarily subscribe to it. ETCIO.com shall not be responsible for any damage caused to any person/organisation directly or indirectly.

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Cybersecurity in the quantum era - ETCIO.com

There’s a Hidden Economic Trendline That Is Shattering the Global Trade System – IDN InDepthNews | Analysis That Matters

Viewpoint by Marshall Auerback and Jan Ritch-Frel

Marshall Auerback is a market analyst and commentator and Jan Ritch-Frel the executive director of the Independent Media Institute. This article was produced by Economy for All, a project of the Independent Media Institute.

NEW YORK (IDN) Former U.S. Treasury Secretary Lawrence Summers has recently conceded: "In general, economic thinking has privileged efficiency over resilience, and it has been insufficiently concerned with the big downsides of efficiency." Policy across the globe is therefore moving in a more overtly nationalistic direction to rectify this shortcoming.

COVID-19 has accelerated a process that was well underway before it, spreading beyond U.S.-China-EU trade negotiations and into the world's 50 largest economies. As much as many defenders of the old order lament this trend, it is as significant a shift as the dawn of the World Trade Organization (WTO) global trade era.

Economists, politicians, and leading pundits are often tempted to see new economic patterns through the prisms of the past; we are therefore likely to hear that we're back in an era of 19th-century mercantilism, or 1970s-style stagflation. But that misses the momentthe motives are different, and so are the outcomes.

What we are experiencing is the realization by state planners of developed countries that new technologies enable a rapid ability to expand or initiate new and profitable production capacity closer to or inside their own markets. The cost savings in transport, packaging and security and benefits to regional neighbors and these countries' domestic workforces will increasingly compete with the price of goods produced through the current internationalized trade system. U.S. national politicians from President Trump to Senator Elizabeth Warren will be joined by a growing chorus who see the long-term domestic political benefit of supporting this transition.

The combination of high-speed communication, advances in automated manufacturing and computing combined with widespread access to the blueprints and information necessary to kick-start new production capacity increasingly makes the current international network of supply chains resemble a Rube Goldberg contraption, and it lightens the currency outflow challenge that many economies have had to deal with for the past seven decades.

Growing political will to restore manufacturing capacity in the national interest will have a shattering effect on countries that built up their economies through a labor price advantage over the past 40 years. No amount of currency depreciation or product dumping can overcome the reality of a country's foreign customer base suddenly opting to produce and buy their own goods at competitive prices.

Taken in sum, the transformation underway isn't just Donald Trump demanding less dependency on China's production capacityit's a global process. It's also India signaling it's going to try to strike its own technological path away from China.

New Patterns of Production

There's a lot of froth in moments like these, where old patterns continue at the same time new ones emerge. Factories are still closing in the United States on the NAFTA continuumno punishment for leaving and good incentives to leave; in many respects, it's because the corporations are part of the same old regime.

But look at sectors of the more advanced economy, and the green shoots and stalks of a new era are quite visible.

There is a cascade of new production in the United Statesnot the familiar announcements of new data centers, warehousing and logistics centers, but rather the production of high-tech goods and essential restoration of hard infrastructure that one might expect of a more self-reliant economy.

The news website Area Development is as good a radar screen for this process as any. There one can find a running spigot of news items like a new "500,000-square-foot research, development and production center [in Texas] to create electric motors for industries as diverse as electric vehicles, robotics, HVAC, and last-mile micromobility," or a restoration and upgrade of Newport News, Virginia's dockyards.

The rationales provided by governments to escape the strictures of the existing trade arrangements and into the new era are fairly easy: a mix of opportunism and need tied to the exigencies of the moment, such as the current pandemic, and long-term national security, which of course can ultimately amount to any economic activity of scope.

Senator Elizabeth Warren's introduction in July of her sweeping Pharmaceutical Supply Chain Defense and Enhancement Act demonstrates that the U.S. power establishment is beginning to reach a consensus on this issueno longer the sole province of Trump-era nationalist. "To defeat the current COVID-19 crisis and better equip the United States against future pandemics, we must boost our country's manufacturing capacity," Warren said, recasting the consequences of decades of policy to offshore our economic production as an "overreliance on foreign countries."

The government of Japan's newly defined restrictions on foreign investment as reported by the Financial Times of around a dozen sectors including "power generation, military equipment, [computer] software [and technology]" in effect prioritize the claims of domestic manufacturers on national security grounds.

Of course, the Japanese authorities have crafted these restrictions on the vague grounds of "national security," which is likely to take on a substantially different meaning in the wake of the coronavirus pandemic. Hence, the country is unlikely to face any serious challenge from other WTO members. And it is through that rather simple justification that we can expect a general reshaping of international trade relations and the array of supply chains.

The government of Australia has likewise outlined new powers to scrutinize new overseas investment, as well as forcing foreign companies to sell their assets if they pose a national security threat. The proposals come in the wake of an intensifying trade war between the governments of Beijing and Canberra, alongside "a dramatic increase in the number of foreign investment bids probed by Australia's spy agency ASIO, over fears that China was spying on sensitive health data," according to news.com.au.

This is happening at the same time that there has been an overhaul of thought with regard to manufacturing, something Australia hasn't typically done much of. The headlines from Australia are beginning to look a lot like the Area Development stories in the United States.

The Canadian government has also announced plans to enhance foreign investment scrutiny "related to public health or critical supply chains during the pandemic, as well as any investment by state-owned companies or by investors with close ties to foreign governments," according to the Globe and Mail.

This attempt to disaggregate beneficial foreign investment flows from those deemed contrary to the national interest used to be a common feature of government policy in the post-World War II period. Canada established the Foreign Investment Review Agency in 1973 as a result of mounting concerns about rising overseas investment, notably the domination of U.S. multinationals, in the Canadian economy. Its provisions were repeatedly downgraded as globalization pressures intensified, but its value is now being reassessed for compatibility with national health policy and resiliency in manufacturing chains. Predictably, pharmaceutical independence is high on the list.

Taiwan, "a net importer of surgical masks before the pandemic, [has] created an onshore mask-manufacturing industry in just a month after registering its first infections in January," reports the Financial Times. "Taiwan's President Tsai Ing-wen said Taipei would repeat that approach to foster other new industries." And world economists have noted that Taiwan and Vietnam lead the world in growth of global market share in exports, at the expense of larger economies like China.

In Europe, the EU leadership is publicly indicating a policy of subsidy and state investment in companies to prevent Chinese buyouts or "undercutting prices." This was supposed to represent a cross-European effort, but the coronavirus policy response is increasingly driven at the national level. Consequently, it is starting to fracture the EU's single market, which has long been constructed on an intricate network of cross-border supply chains and strict rules preventing state subsidies to national champions.

The French government under President Emmanuel Macron has increasingly invoked the spirit of Charles De Gaulle in lieu of French industrialist Jean Monnet, considered as one of the founding fathers of today's European Union. Corporate France has taken heed: In response to French Finance Minister Bruno Le Maire's rallying cry to the nation's supermarkets this past March to "Stock French products," according to France 24, "French supermarket chain Carrefour has already moved to source 95 percent of its fruits and vegetables from within" the country, which by the way is a fundamental logic of any serious environmental agenda. According to Coalition for a Prosperous America, "Le Maire [also] cited pharmaceuticals, the automotive sector, and aerospace as three economic sectors where France needs to reassert sovereignty, i.e., make more products in France.

Going further in a national TV interview, the finance minister said "that it was unacceptable for France to rely on China and South Korea for 80 percent of its electric battery supply, praising a new France-based battery-making facility that would come onstream in 2022. He praised French drugmaker Sanofi for saying recently that it intends to re-localize' some of its production back to France."

President Macron himself has likewise reaffirmed a goal for France to ensure the nation's "health sovereignty" after the coronavirus exposed the reliance of his country on imported medical supplies. According to a recent Reuters report, France's "Agriculture Minister, Didier Guillaume, told political news channel Public Senat that while France could not be self-sufficient in all food products, it would look at being more autonomous in areas such as plant protein."

Even Germany, with a vibrant export sector that has long made it a beneficiary of globalization, has also signaled a move toward greater economic nationalism. In a recent interview with Der Spiegel (cited in Reuters), the country's economy minister, Peter Altmaier, "said he wanted to support pharmaceuticals companies that are dependent for key reagents on imports from Asia to rebuild their production sites in Europe."

In broader terms, part of the government's overall response to the COVID-19 pandemic has featured 400 billion in state guarantees to underwrite the debts of companies affected by the turmoil. A goal of this package is to prevent a "bargain sale of German economic and industrial interests," Altmaier was quoted in MarketWatch.

Economic nationalist considerations are also driving a shift in Britain's negotiating stance in the current Brexit trade negotiations with the EU, with the UK clearly prioritizing national sovereignty over frictionless free trade with its former single-market partners, even if that means a so-called "Hard Brexit."

The EU's single-market rules specifically preclude state aid to specific industries if it undermines the operation of the single market. But the UK's chief negotiating officer, David Frost, has made it clear that the ability to break free from the EU's rulebook was essential to the purpose of Brexit, even if that meant reverting to the less favorable WTO trade relationship that exists for other non-EU countries.

In the words of columnist James Forsyth of the Spectator, EU laws on the single market "[deny] to member states what one cabinet minister refers to as the geostrategic premium' of encouraging domestic production of personal protective equipment. In the single market, the NHS cannot buy solely from British suppliers to try to build up a domestic manufacturing base; it has to accept bids from any company based in the EU."

Economic Nationalism and the New Geopolitics

Over the past 40 years, this kind of overt economic nationalism, especially as it has pertained to domestic manufacturing capabilities, has generally been eschewed by the United States, at least until the ascension of Donald Trump to the White House. In part, this is a product of the fact that as global hegemon, the United States used to be able to dominate global institutions (such as the International Monetary Fund and the WTO) and shape them toward U.S. national interests. But when necessary, national security considerations have intervened.

Sematech, a government-industry consortium, was created in the 1980s to successfully revitalize the American semiconductor industry, after the Pentagon deemed this to be a strategically key industry that should not leave the United States exposed to the vagaries of foreign manufacturers. The Sematech consortium has represented a great success in national industrial planning, as it enabled the United States to re-establish its global dominance in high-end semiconductor production and design.

More recently, national security considerations in the semiconductor industry have again revived in the wake of the Trump administration's growing dispute with Chinese 5G telecommunications equipment maker Huawei. The U.S. Commerce Department has now mandated that all semiconductor chip manufacturers using U.S. equipment, IP, or design software will require a license before shipping to Huawei.

This decision has forced the world's biggest chipmakerTaiwan Semiconductor Manufacturing Company (TSMC) to stop taking fresh orders from Huawei, as it uses U.S. equipment in its own manufacturing processes. Paradoxically, then, the Trump administration has exploited pre-existing global supply linkages in the furtherance of a more robust form of economic nationalism. The same policy attitude is now visible with regard to pharmaceuticals (as it is in other parts of the world, to the likely detriment of China and India).

A shift like this will have a knock-on effect that will reverberate to the other parts of the world that for centuries have been forcibly limitedby arms and financeto being sources of raw material export, refined if they were lucky. They will watch closely what happens with Australia, which for the majority of the past 150 years has been an exporter of food and minerals, but is now jumping on the project to establish a national manufacturing base.

As dozens of countries build their own manufacturing basesomething only a handful of countries controlled for most of modern historybig questions will emerge about geopolitical stabilization and the classical tools of foreign influence. The world today in some respects resembles the 19th century's balance-of-power politics, even as the majority of countries understand that some minimal level of state collaboration is essential to combat shared challenges.

China is party to a growing number of global disputes, as emerging great powers typically experience: the U.S. vs. China, China vs. India, Japan vs. China, China vs. Australia, and the EU vs. China. But hot wars are unlikely to feature as prominently as they did two centuries ago.

Expect to see Cold War-style conflict intensify, however, albeit in new forms. Instead of the old geopolitical arenas including access to vital commodities or stable petroleum markets, the new forms of the competition will put greater weight on access to advanced research and technologies, such as the collection, transfer and storage of data and the quantum computing power to process it.

The speed at which global supply chains can potentially shift to accommodate the rise in economic nationalism is considerable. The success with which we manage the transition will largely settle the debate as to whether it is in fact the better path to greater prosperity and global stability. [IDN-InDepthNews 04 July 2020]

Image credit: Caribbean News Global (CGN)

IDN is flagship agency of the Non-profit International Press Syndicate.

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There's a Hidden Economic Trendline That Is Shattering the Global Trade System - IDN InDepthNews | Analysis That Matters

How Will The World Look Like In 2025 And The Future Of Cybersecurity – Entrepreneur

Here's how the technology landscape will transform over the next five years, and with it, how cybersecurity advancements will take place to protect the confidentiality, integrity, and availability of information

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July3, 20205 min read

Opinions expressed by Entrepreneur contributors are their own.

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The world has been witnessing increased connectivity every year, driven by the ongoing technological revolution. Along with the increasing connectivity, critical information infrastructures are also facing a rising number of cyberattacks, which is a cause of concern for both individual and enterprise users. Malicious actors carry out these attacks with different motivessome for financial gains and others for undermining the governments and information systems. With a massive increase in humans accessing the Internet every year, the fear of such attacks cannot be overlooked. By 2025, there will be explosive growth in Internet penetration, and its effects will be highly visible. This scenario demands the cybersecurity laws to keep pace with the overwhelming developments. The following are the trends to witness in the cybersecurity landscape by 2025.

Experts predict that by 2025, the information that people share over the Internet will get interwoven into their daily life activities, so much so thatinformation flow will become invisible, like electricity. An analogy is that Internet usage will become akin to breathing. An expert from Media Psychology Research Center,Pamela Rutledge,argues that today, universal access is the term associated with phone lines. However, by 2025, access to the Internet will become a basic right. The greater access and capabilities will help bridge the digital divide and allow universal access to quality tools and digital participation skills.

There will be an exponential explosion of data volume and typical use cases. Thus, the line separating the responsibilities of IT security teams and the regulatory frameworks will blur by 2025. GDPR (General Data Protection Regulation) is a robust regulatory framework that advocates for consumer rights, accountability obligations, and restrictions on the international flow of data. The rapid advancement in the use of AI and ML technologies will make the process trickier. Some key pointers which the GDPR policies will need to address are:

Legal rights for capturing and processing data.

Fixing responsibility for data manipulation.

Fixing accountability for breaches in AI-driven systems.

Determining the culprit country of manufacture or country of use?

GDPR is currently introducing rules which take into account all these concerns, and which are future-proof and technologically neutral. The AI systems may keep the data unilaterally, for further evolving its service capabilities. However, inevitably, the GDPR rules will always favor the data subject, and organizations will have to bring their AI designs in-line with the regulations.

Quantum Computing is currently in its infancy stage, but by 2025, the world will witness commercial devices that use technology for meaningful solutions to real-world problems. It has the potential to come up as a boon for numerous sectors. It will help scientists in the healthcare sector to simulate complex chemical reactions, which will guide drug development research. The discovery of novel materials will also occur, which can become catalysts to reduce carbon emissions from vehicles and help curb the effects of global warming. Quantum computers will also help in reducing the costs of research and development. In a nutshell, tech firms will see significant growth, and they will help uplift other sectors as well. It is evident from the graph given below. On X-axis is the percentage of organizations currently adopting AI, and on Y-axis, the average percentage change required in AI spending for the next three years.

Digital Rights Management (DRM) technologies are crucial tools that help organizations secure their digital content. Experts predict that the DRM market size will expand to a whopping $4.35 billion by 2025, with a 15.12 per cent CAGR during 2020-2025. There will be a rise in web-based data. It will enhance the necessity of streamlining the process of secure data access and management, ensuring its foolproof confidentiality and integrity. The Internet will become an integral part of people's lives, and governments will use it to measure, monitor, and alter critical socio-economic and political policies. Organizations will change the processes and goals of the workforce. There is an inherent threat to these data collection techniques from malicious actors. However, with an open internet, they can become crowd-controlled and supplemented by traditional information sources to prevent such breaches.

Today, there is an increase in the volume of the regulatory environment. However, it is just the tip of the iceberg. After five years, privacy and data-centric security will reach commodity status. Giving the users the ability to control and protect their sensitive data assets will become a norm rather than an exception. The awareness and understanding of the need to upgrade the cybersecurity policies will increase, and thus, the adoption ofprivacy-enhancing technologies (PET)will also rise. PET will go on to become a mainstream technology category by 2025. It will become a key element in the organizations privacy and security strategy to meet the minimum compliance threshold.

Digital transformation and technological advancements have witnessed great potential to help solve the world's most pressing problems, ranging from providing quality healthcare to ensuring universal educational access. However, it has also resulted in never-seen-before cybersecurity threats and cyberattacks in the last few years. The next five years are going to be critical in deciding the fate of digital technologies and cybersecurity as well. The data security sphere will also undergo drastic transformations that could well be something beyond the magnitudes and sophistication that could be conceived based on currently available knowledge. Cybersecurity is going to be paramount as organizations will have to adopt innovative security strategies, security solutions, and techniques. They will have to innovate at an unprecedented pace to outpace cyber adversaries.

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How Will The World Look Like In 2025 And The Future Of Cybersecurity - Entrepreneur

Better encryption for wireless privacy at the dawn of quantum computing – UC Riverside

For the widest possible and mobile Internet coverage, wireless communications are essential. But due to the open nature of wireless transmissions, information security is a unique issue of challenge. The widely deployed methods for information security are based on digital encryption, which in turn requires two or more legitimate parties to share a secret key.

The distribution of a secrecy key via zero-distance physical contact is inconvenient in general and impossible in situations where too little time is available. The conventional solution to this challenge is to use the public-key infrastructure, or PKI, for secret key distribution. Yet, PKI is based on computational hardness of factoring, for example, which is known to be increasingly threatened by quantum computing. Some predictions suggest that such a threat could become a reality within 15 years.

In order to provide Internet coverage for every possible spot on the planet, such as remote islands and mountains, a low-orbiting satellite communication network is rapidly being developed. A satellite can transmit or receive streams of digital information to or from terrestrial stations. But the geographical exposure of these streams is large and easily prone to eavesdropping. For applications such as satellite communications, how can we guarantee information security even if quantum computers become readily available in the near future?

Yingbo Huas Lab of Signals, Systems and Networks in the Department of Electrical and Computer Engineering, which has been supported in part by Army, has aimed to develop reliable and secure transmission, or RESET, schemes for future wireless networks. RESET guarantees that the secret information is not only received reliably by legitimate receiver but also secure from eavesdropper with any channel superiority.

In particular, Huas Lab has developed a physical layer encryption method that could be immune to the threat of quantum computing. They are actively engaged in further research of this and other related methods.

For the physical layer encryption proposed by Huas lab, only partial information is extracted from randomized matrices such as the principal singular vector of each matrix modulated by secret physical feature approximately shared by legitimate parties. The principal singular vector of a matrix is not a reversible function of the matrix. This seems to suggest that a quantum computer is unable to perform a task that is rather easy on a classical computer. If this is true, then the physical layer encryption should be immune from attacks via quantum computing. Unlike the number theory based encryption methods which are vulnerable to quantum attacks, Huas physical layer encryption is based on continuous encryption functions that are still yet to be developed.

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Better encryption for wireless privacy at the dawn of quantum computing - UC Riverside

Menten AIs combination of buzzword bingo brings AI and quantum computing to drug discovery – TechCrunch

Menten AI has an impressive founding team and a pitch that combines some of the hottest trends in tech to pursue one of the biggest problems in healthcare new drug discovery. The company is also $4 million richer with a seed investment from firms including Uncork Capital and Khosla Ventures to build out its business.

Menten AIs pitch to investors was the combination of quantum computing and machine learning to discover new drugs that sit between small molecules and large biologics, according to the companys co-founder Hans Melo.

A graduate of the Y Combinator accelerator, which also participated in the round, Menten AI looks to design proteins from scratch. Its a heavier lift than some might expect, because, as Melo said in an interview, it takes a lot of work to make an actual drug.

Menten AI is working with peptides, which are strings of amino acid chains similar to proteins that have the potential to slow aging, reduce inflammation and get rid of pathogens in the body.

As a drug modality [peptides] are quite new, says Melo. Until recently it was really hard to design them computationally and people tried to focus on genetically modifying them.

Peptides have the benefit of getting through membranes and into cells where they can combine with targets that are too large for small molecules, according to Melo.

Most drug targets are not addressable with either small molecules or biologics, according to Melo, which means theres a huge untapped potential market for peptide therapies.

Menten AI is already working on a COVID-19 therapeutic, although the companys young chief executive declined to disclose too many details about it. Another area of interest is in neurological disorders, where the founding team members have some expertise.

Image of peptide molecules. Image Courtesy: D-Wave

While Menten AIs targets are interesting, the approach that the company is taking, using quantum computing to potentially drive down the cost and accelerate the time to market, is equally compelling for investors.

Its also unproven. Right now, there isnt a quantum advantage to using the novel computing technology versus traditional computing. Something that Melo freely admits.

Were not claiming a quantum advantage, but were not claiming a quantum disadvantage, is the way the young entrepreneur puts it. We have come up with a different way of solving the problem that may scale better. We havent proven an advantage.

Still, the company is an early indicator of the kinds of services quantum computing could offer, and its with that in mind that Menten AI partnered with some of the leading independent quantum computing companies, D-Wave and Rigetti Computing, to work on applications of their technology.

The emphasis on quantum computing also differentiates it from larger publicly traded competitors like Schrdinger and Codexis.

So does the pedigree of its founding team, according to Uncork Capital investor, Jeff Clavier. Its really the unique team that they formed, Clavier said of his decision to invest in the early-stage company. Theres Hans the CEO who is more on the quantum side; theres Tamas [Gorbe] on the bio side and theres Vikram [Mulligan] who developed the research. Its kind of a unique fantastic team that came together to work on the opportunity.

Clavier has also acknowledged the possibility that it might not work.

Can they really produce anything interesting at the end? he asked. Its still an early-stage company and we may fall flat on our face or they may come up with really new ways to make new peptides.

Its probably not a bad idea to take a bet on Melo, who worked with Mulligan, a researcher from the Flatiron Institute focused on computational biology, to produce some of the early research into the creation of new peptides using D-Waves quantum computing.

Novel peptide structures created using D-Waves quantum computers. Image Courtesy: D-Wave

While Melo and Mulligan were the initial researchers working on the technology that would become Menten AI, Gorbe was added to the founding team to get the company some exposure into the world of chemistry and enzymatic applications for its new virtual protein manufacturing technology.

The gamble paid off in the form of pilot projects (also undisclosed) that focus on the development of enzymes for agricultural applications and pharmaceuticals.

At the end of the day what theyre doing is theyre using advanced computing to figure out what is the optimal placement of those clinical compounds in a way that is less based on those sensitive tests and more bound on those theories, said Clavier.

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Menten AIs combination of buzzword bingo brings AI and quantum computing to drug discovery - TechCrunch

Paper Outlines the Role of ERM in Managing Risks Related to New Technologies – Business Wire

SANTA FE, N.M.--(BUSINESS WIRE)--The Shared Assessments Program today released a new briefing paper, The Role of ERM in Managing Risks Related to New Technologies. This collaborative, member-driven effort examines the challenges that come with significant technology shifts, such as IoT, AI, 5G and the encryption issues related to quantum computing.

Technology advances can fuel heightened productivity, important product development and enhance the ability to meet business objectives. Yet, along with these benefits, technology often introduces new risks. An incomplete understanding of those risks can lead to material consequences. The paper highlights the key role the board and C-suite should play in helping to recognize and respond to the risks that emerging technology presents.

Its important for Boards to ensure that a systemic process exists for recognizing and maximizing outcomes from new technologies. Executive management should evaluate whether appropriate structures and resources are in place to understand both opportunities and significant risks associated with emerging technologies, and where gaps exist, close them, notes Gary Roboff, Senior Advisor at the Shared Assessments Program.

Key practices that should be implemented when planning and adopting new technologies include:

Both internally and with third parties, the paper delves into challenges and opportunities of each of the four most significant emerging technologies. Appropriate actions include:

While specific emerging technologies each represent some level of risk, the interdependencies and cumulative effect of these technologies when integrated can present a significant increase in risk to an enterprise. A clear example is the current IoT environment, which will become a more powerful and capable technology once leveraging 5G and, in the process, yield a more formidable risk challenge for all organizations, said Shawn Malone, Founder & CEO, Security Diligence, LLC.

The briefing paper and companion executive summary can be downloaded at: https://sharedassessments.org/blog/the-role-of-erm/.

About the Shared Assessments Program

As the only organization that has uniquely positioned and developed standardized resources to bring efficiencies to the market for more than a decade, the Shared Assessments Program has become the trusted source in third party risk assurance. Shared Assessments offers opportunities for members to address global risk management challenges through committees, awareness groups, interest groups and special projects.

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Paper Outlines the Role of ERM in Managing Risks Related to New Technologies - Business Wire

Airbus CTO Grazia Vittadini: Aviation needs to tap emerging technologies, diverse talent to get climate-neutral – Verdict Medical Devices – Medical…

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Airbus chief technology officer (CTO) Grazia Vittadini has urged the aviation world to explore new fields including AI and quantum computing in a bid to create a climate-neutral industry, writes Claudia Glover for CBR.

Speaking at an International Aviation Womens Association (IAWA) event, Vittadini said: As aerospace professionals we all know there is no one single solution to the climate change problem.

We need to push aerodynamic structures and smart materials. We need alternative fuels and alternative propulsion using hydrogen in the equation or hydro-electric configuration. We need to push for automated air traffic management and explore new fields like AI and quantum computing, which are enablers for these very ambitious targets.

And to get to this point, the industry needs to become much more diverse she said, adding that her dream of becoming a pilot in the Italian air force took a hit when I was rejected on the grounds that I am a woman. She added that she then paid for a pilots licence with her first salary as an engineer.

It is no secret that the aerospace sector is not exactly diverse when it comes to gender, said the CTO, who sits on the Airbus executive leadership. It is a systemic issue in all engineering-based companies and it will be a long-term effort (to address it).

Returning to a theme of climate change, Vittadini said that sustainability was good business.

There is no profit without climate protection, she said. Preserving our planet is not a nice add-on cherry on the cake that we may choose if we can afford; this is the prerequisite to the future of aviation, ecologically and economically.

The coronavirus crisis has undoubtedly increased this global awareness of how dependent we are on a healthy environment; this is also why in Europe, economic stimulus plans are coming with a lot of green strings attached.

She added that Airbus was working on a range of emerging technologies to improve safety, including self-disinfecting coatings for plane interiors.

Grazia Vittadini became the CTO of the European aerospace giant in 2017, having been with the company since 2002, bringing with her engineering and industrial expertise gained on the Italian side of the Eurofighter project. Among other roles, Vittadini, an experienced engineer, headed up airframe design at the multinational before being appointed CTO.

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Airbus CTO Grazia Vittadini: Aviation needs to tap emerging technologies, diverse talent to get climate-neutral - Verdict Medical Devices - Medical...

Is IT regulation in the DARQ? – IT PRO

This article originally appeared in May's edition of IT Pro 20/20,available here. To sign up to receive each new issue in your inbox, click here.

While the world grapples with the fallout of the COVID-19 coronavirus pandemic and the shift to mass remote working also dubbed the distributed workplace other trends are bubbling under the surface. The growing use of artificial intelligence (AI) in businesses of all stripes is no secret, but there are another three technologies distributed ledger, extended reality, and quantum computing that are becoming increasingly influential as well.

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While SMAC Social, Mobile, Analytics, and Cloud has already changed the relationships service providers have with their customers over the course of recent years, DARQ, as these newer technologies are collectively known, looks set to become even more transformative.

With all these technologies, and AI in particular, becoming mainstream, do we need a new form of regulation to ensure DARQ technologies are used legally, fairly and ethically?

The digital change is not wafting like a gentle summer breeze over the beaches of Malta, says Felix Hufeld, president of the Federal Financial Supervisory Authority. Its sweeping over the industry like a storm and is shaking up business models, companies and even entire markets.

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Regulators have already seen the rapid growth of FinTech, with new companies innovating outside of traditional banking and financial services. This has raised concerns that their regulatory regimes wont be able to keep up with the pace of development.

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Here, some form of automation could deliver a regulatory environment fit for a world dominated by DARQ technologies. A late-2019 survey carried out by the Bank of England and Financial Conduct Authority found 57% of regulated services use AI for risk management and compliance.

Susannah Hammond, senior regulatory intelligence expert at Thomson Reuters, tells IT Pro: Traditionally, regulators [of financial services and data protection technologies] have sought to be technology-neutral when it comes to their rules and requirements, and have focused on the outcomes of the use of any technologies.

The emphasis is on senior managers understanding the new technologies, their limitations, any new risks which may arise (e.g. bias in machine learning, etc.) and the checks and balances to ensure that the technology is, in practice, working as intended. Equally, there is a focus on the resilience of IT infrastructures both in terms of ensuring good customer outcomes and cyber hygiene.

Go digital to meet todays critical compliance and security requirements

Digital transformation helps companies meet critical compliance and security requirements

DARQ offers businesses the tools they need to develop new personalised experiences for their customers. Each element of DARQ will independently usher in new opportunities and ways of working, but it's the convergence of these technologies that really drives innovation what Accenture called the reimagining of entire industries. Indeed, according to Accenture 89% of businesses are already experimenting with one or more DARQ technologies. For example, Volkswagen is using quantum computers to develop intelligent traffic guidance systems.

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Using AI as a component of service automation for instance, opens up questions of accuracy and accountability. At the moment, the focus is on financial services as they expand and accelerate their use of technologies such as machine learning and biometric identification to combat fraud. When other DARQ technologies are added to the mix, this heady cocktail of data becomes difficult to police. Here, RegTech (Regulation Technology) could offer a solution.

The RegTech industry is expanding. According to KPMG, RegTechs predicted share of all regulatory spending by 2022 will reach 34%, with the management consultancy defining RegTech 3.0 as a move from know your customer to know your data. This shift is critical to understand as all of the DARQ technologies are developing to create highly personalised services all of which will need a degree of regulation.

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The initial focus has been on how technologies such as AI are being applied to financial services and the businesses that supply them. RegTech, though, is expected to increase in importance as regulators realise they need new platforms to ensure DARQ technologies remain compliant.

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With regards to AI or quantum, regulations will be crucial for the wider adoption of these technologies as they will provide protection to consumers. This will allow the public to trust that they can safely rely upon these services, explains Benot Sauvage, director of regulatory strategy at Deloitte.

The main issue is that regulations do not yet fully comprehend these technologies. For instance, for AI, it is expected that regulations demand to explain the algorithms and show how results can be overridden or stopped. For quantum there might be a need to adapt cybersecurity rules and data protection rules, he adds.

Businesses and regulators alike are considering how automated systems could help them keep pace with the technological change that will only accelerate when DARQ is considered.

Removing human compliance officers from the decision-making processes is risky, as many of the DARQ technologies are often a black box. RegTech will evolve and become an essential tool. Compliance officers will have little choice than to use these systems if they are to understand the avalanche of regulation that DARQ will attract and how these regulations impact their businesses.

Businesses are striving to implement more automation and DARQ will help them achieve those goals. However, these technologies can seem opaque to the uninitiated and how machine language systems arrive at a conclusion must be explainable. Here, ensuring bias isnt present in the system is vital and must contain some form of oversight.

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However, as Franois-Kim Hug, a partner at Deloitte tells IT Pro, its important not to forget the importance of human input.

The advent of RegTech does not mean the end of the compliance officer, Hug explains. We are still far from a global compliance solution that can anticipate, understand, interpret and implement the ongoing avalanche of regulations impacting all businesses. This means the profile of compliance officers will need to adjust to this new digital reality where new solutions and new ways of working are created daily.

All of the DARQ technologies are on an accelerating upward trajectory, although not all of them will develop at the same pace. Already we see the first widespread applications of AI particularly machine learning whereas other components of the DARQ collective, such as quantum computing, are still in their infancy.

As such, regulators will move forward with defining the compliance regime DARQ must be used within as each component becomes more mainstream and begins to impact consumers.

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For businesses, while most recognise the massive impact SMAC has had, they may not be aware of DARQ or know that its impact could be even more disruptive. Once they wake up to this reality, their development roadmap should come into focus as soon as possible and they can start taking their first steps in using these technologies.

Regulators will, as always, be watching and RegTech could deliver a helpful dose of automated compliance. But that doesnt mean its time to say goodbye to your human compliance officers they will have a vital role to play as we start to more confidently explore the DARQ.

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Is IT regulation in the DARQ? - IT PRO