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Researchers use machine learning to build COVID-19 predictons – Binghamton University

By Chris Kocher

June 16, 2020

As parts of the U.S. tentatively reopen amid the COVID-19 pandemic, the nations long-term health continues to depend on tracking the virus and predicting where it might surge next.

Finding the right computer models can be tricky, but two researchers at Binghamton Universitys Thomas J. Watson School of Engineering and Applied Science believe they have an innovative way to solve those problems, and they are sharing their work online.

Using data collected from around the world by Johns Hopkins University, Arti Ramesh and Anand Seetharam both assistant professors in the Department of Computer Science have built several prediction models that take advantage of artificial intelligence. Assisting the research is PhD student Raushan Raj.

Arti Ramesh, assistant professor, computer science

Machine learning allows the algorithms to learn and improve without being explicitly programmed. The models examine trends and patterns from the 50 countries where coronavirus infection rates are highest, including the U.S., and can often predict within a 10% margin of error what will happen for the next three days based on the data for the past 14 days.

We believe that the past data encodes all of the necessary information, Seetharam said. These infections have spread because of measures that have been implemented or not implemented, and also because how some people have been adhering to restrictions or not. Different countries around the world have different levels of restrictions and socio-economic status.

For their initial study, Ramesh and Seetharam inputted global infection numbers through April 30, which allowed them to see how their predictions played out through May.

Certain anomalies can lead to difficulties. For instance, data from China was not included because of concerns about government transparency regarding COVID-19. Also, with health resources often taxed to the limit, tracking the virus spread sometimes wasnt the priority.

Anand Seetharam, assistant professor, computer science

We have seen in many countries that they have counted the infections but not attributed it on the day they were identified, Ramesh said. They will add them all on one day, and suddenly theres a shift in the data that our model is not able to predict.

Although infection rates are declining in many parts of the U.S., they are rising in other countries, and U.S. health officials fear a second wave of COVID-19 when people tired of the lockdown fail to follow safely guidelines such as wearing face masks.

The main utility of this study is to prepare hospitals and healthcare workers with proper equipment, Seetharam said. If they know that the next three days are going to see a surge and the beds at their hospitals are all filled up, theyll need to construct temporary beds and things like that.

As the coronavirus sweeps around the world, Ramesh and Seetharam continue to gather data so that their models can become more accurate. Other researchers or healthcare officials who want to utilize their models can find them posted online.

UNIVERSITY JOINS CORONAVIRUS FIGHT

Faculty, staff and students are leading Binghamton Universitys efforts in the coronavirus pandemic. Here are just a few examples:

Each data point is a day, and if it stretches longer, it will produce more interesting patterns in the data, Ramesh said. Then we will use more complex models, because they need more complex data patterns. Right now, those dont exist so were using simpler models, which are also easier to run and understand.

Ramesh and Seetharams paper is called Ensemble Regression Models for Short-term Prediction of Confirmed COVID-19 Cases.

Earlier this year, they launched a different tracking project, gathering data from Twitter to determine how Americans dealt with the early days of the COVID-19 pandemic.

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The Inter-dependence of Quantum Computing and Robotics – Analytics Insight

Looking at quantum computing-fueled applications of the future, we much of the time look to the innovations capability to take care of computationally-intensive mathematical problems, which could lead to breakthroughs in drug discovery, logistics, cryptography, and finance.

A research paper by Bernhard Dieber and different scholastics entitled Quantum Computation in Robotic Science and Applications, researches how quantum computing could augment numerous operations where robots are confronted with intensive computational assignments, where commonly broadly useful GPUs have been utilized to deal with intensive tasks.

While we may not see the appearance of quantum-fueled robots in the coming decade, the paper refers to how the rise of cloud-based quantum computing services and even quantum co-processors (QPUs) could work coupled with traditional CPUs to propel the improvement of much increasingly powerful and smart robots.

Australian physicists state they have adapted methods from autonomous vehicles and robotics to effectively evaluate the performance of quantum gadgets. A University of Sydney team reports that its new methodology has been indicated tentatively to outflank simplistic characterisation of these situations by a factor of three, with a lot higher outcome for increasingly complex simulated environments. Lead creator Riddhi Gupta says one of the hindrances to creating quantum computing systems to useful scale is beating the blemishes of hardware.

Qubits the fundamental units of quantum technology are exceptionally delicate to disturbances from their environments, for example, electromagnetic noise and show performance varieties that lessen their usefulness.

To address this, Gupta and associates took strategies from old style estimation utilized in robotics and adapted them to improve hardware performance. This is accomplished through the proficient automation of procedures that map both environment of and performance variations across huge quantum gadgets.

Conventional AI, as opposed to current machine learning applications, depends on formal knowledge representations like rules, realities and algorithms so as to improve the robot behavior or copy intelligent behavior.

Artificial intelligence applications are as often as possible utilized in robotics technology, similar to path planning, the derivation of goal-oriented action plans, system diagnosis, the coordination of different specialists, or thinking and reasoning of new knowledge. A significant number of these applications use varieties of ignorant (visually impaired) or informed (heuristic) search algorithms, which depend on crossing trees or diagrams, where every node represents a potential state in the search space, associated with further follow-up states.

Quantum computing can fill in as an option for pretty much every search algorithm utilized in robotics and AI applications and decrease unpredictability. For graph search, for instance, there is a quantum alternative based on quantum random walks.

In robotics, Gupta says, machines depend on simultaneous localisation and mapping (SLAM) algorithms. Gadgets like automated vacuum cleaners are ceaselessly mapping their surroundings and then evaluating their area within that environment so as to move. The trouble with adjusting SLAM algorithms to quantum frameworks is that if you measure, or characterise, the performance of a solitary qubit, you obliterate its quantum data.

Gupta has built up a versatile algorithm that measures the performance of one qubit and utilities that data to assess the capacities of nearby qubits. We have called this Noise Mapping for Quantum Architectures., she says. Instead of gauging the old-style environment for every single qubit, we can automate the procedure, lessening the number of estimations and qubits required, which accelerates the entire procedure.

Efforts have been made as of late to illuminate old-style automated tasks utilizing AI as another option. In the quantum domain, quantum neural networks could help take care of issues related with kinematics, or the mechanical movement of robots.

There are reports that state how the two degrees of control in robotics, abstract task-planning, and specific movement-planning which are presently illuminated independently, can be explained in an increasingly integrative way with quantum computing.

Quantum computing could play an important job in enhancing the development of machines, including identifying moments of inertia and joint friction. Such difficulties could be addressed with quantum reinforcement learning, with models that can develop themselves, and with hybrid quantum-classical algorithms.

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2 thoughts on Learn Quantum Computing With Spaced Repetition – Hackaday

Everyone learns differently, but cognitive research shows that you tend to remember things better if you use spaced repetition. That is, you learn something, then after a period, you are tested. If you still remember, you get tested again later with a longer interval between tests. If you get it wrong, you get tested earlier. Thats the idea behind [Andy Matuschak s]and [Michael Nielsens] quantum computing tutorial. You answer questions embedded in the text. You answer to yourself, so theres no scoring. However, once you click to reveal the answer, you report if you got the answer correct or not, and the system schedules you for retest based on your report.

Does it work? We dont know, but we have heard that spaced repetition is good for learning languages, among other things. We suspect that like most learning methods, it works better for some people than others.

The series of essays are reasonably technical and assume you understand linear algebra, complex numbers, and Boolean logic. Of course, there are links to help you pick up any of those you lack. Honestly, those topics will help you in lots of other areas, too, so if you dont already have those in your tool belt, it wouldnt hurt to follow some of the links.

If you want to play with quantum computing, we like Quirk. There are also quantum computers you can use for real from IBM, although youll run out of gates pretty quickly.

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New Way to Assess the Performance of Quantum Devices – AZoQuantum

Written by AZoQuantumJun 17 2020

University of Sydney scientists have adapted methods from robotics and autonomous vehicles to efficiently evaluate the performance of quantum devicesa crucial process to help balance the emerging technologies.

The new method has been experimentally demonstrated to supersede the simplistic characterization of these settings by a factor of three, with a relatively higher outcome for more complicated simulated settings.

Using this approach, we can map the noise causing performance variations across quantum devices at least three times as quickly as a brute-force approach. Rapidly assessing the noise environment can help us improve the overall stability of quantum devices.

Riddhi Gupta, Study Lead Author and PhD Student, School of Physics, University of Sydney

The study has been published in Quantum Informationa Nature partner journal.

While quantum computing is still in its preliminary stages of development, it holds implications to redefine technologies by solving issues beyond the context of traditional computing.

One of the obstacles to produce these systems to practical scale is resolving the hardware imperfections. The rudimentary units of quantum technologythat is, quantum bits or qubitsare extremely responsive to disturbance from their settings such as electromagnetic noise and display performance changes that decrease their usefulness.

Ms Gupta, who is also a part of the ARC Centre of Excellence for Engineered Quantum Systems, has used methods from traditional estimation employed in robotics and modified them to enhance the performance of hardware. This was accomplished via the efficient automation of procedures that map both the performance changes and environment over massive quantum devices.

Our idea was to adapt algorithms used in robotics that map the environment and place an object relative to other objects in their estimated terrain. We effectively use some qubits in the device as sensors to help understand the classical terrain in which other qubits are processing information.

Riddhi Gupta, Study Lead Author and PhD Student, School of Physics, University of Sydney

In the field of robotics, machines depend on simultaneous localization and mapping, or SLAM for short, algorithms. Robotic vacuum cleaners are devices that constantly map their settings and then estimate their location inside that setting to move.

The problem with adapting SLAM algorithms to quantum systems is that if individuals define, or quantify, the performance of one qubit, they would damage its quantum data.

As such, Ms Gupta developed an adaptive algorithm that quantifies the performance of a single qubit and applies that data to predict the capabilities of neighboring qubits.

We have called this Noise Mapping for Quantum Architectures. Rather than estimate the classical environment for each and every qubit, we are able to automate the process, reducing the number of measurements and qubits required, which speeds up the whole process.

Riddhi Gupta, Study Lead Author and PhD Student, School of Physics, University of Sydney

Dr Cornelius Hempel, whose experimental group offered Ms Gupta data from experiments performed on a one-dimensional (1D) string of trapped ions, stated that he was happy to observe threefold enhancement even in the mapping of such a tiny quantum system.

However, when Riddhi modelled this process in a larger and more complex system, the improvement in speed was as high as twentyfold. This is a great result given the future of quantum processing is in larger devices, Dr Hempel added.

Professor Michael J. Biercuk, founder of quantum technology company Q-CTRL and director of the University of Sydney Quantum Control Laboratory in the Sydney Nanoscience Hub, is the supervisor of Ms Gupta.

This work is an exciting demonstration that state-of-the-art knowledge in robotics can directly shape the future of quantum computing. This was a first step to unify concepts from these two fields, and we see a very bright future for the continued development of quantumcontrol engineering, Professor Biercuk concluded.

The study was partly funded by the US Army Research Office, the ARC Centre of Excellence for Engineered Quantum Systems, and a private grant from H. & A. Harley.

Gupta, R. S., et al. (2020) Adaptive characterization of spatially inhomogeneous fields and errors in qubit registers. npj Quantum Information. doi.org/10.1038/s41534-020-0286-0.

Source: https://www.sydney.edu.au/

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Quantum Computing Market 2020 Key Players, Share, Trend, Segmentation and Forecast to 2026 – Cole of Duty

New Jersey, United States,- The report is a must-have for business strategists, participants, consultants, researchers, investors, entrepreneurs, and other interested parties associated with the Quantum Computing Market. It is also a highly useful resource for those looking to foray into the Quantum Computing market. Besides Porters Five Forces and SWOT analysis, it offers detailed value chain assessment, comprehensive study on market dynamics including drivers, restraints, and opportunities, recent trends, and industry performance analysis. Furthermore, it digs deep into critical aspects of key subjects such as market competition, regional growth, and market segmentation so that readers could gain sound understanding of the Quantum Computing market.

The research study is a brilliant account of macroeconomic and microeconomic factors influencing the growth of the Quantum Computing market. This will help market players to make appropriate changes in their approach toward attaining growth and sustaining their position in the industry. The Quantum Computing market is segmented as per type of product, application, and geography. Each segment is evaluated in great detail so that players can focus on high-growth areas of the Quantum Computing market and increase their sales growth. Even the competitive landscape is shed light upon for players to build powerful strategies and give a tough competition to other participants in the Quantum Computing market.

The competitive analysis included in the report helps readers to become aware of unique characteristics of the vendor landscape and crucial factors impacting the market competition. It is a very important tool that players need to have in their arsenal for cementing a position of strength in the Quantum Computing market. Using this report, players can use effective business tactics to attract customers and improve their growth in the Quantum Computing market. The study provides significant details about the competitive landscape and allows players to prepare for future challenges beforehand.

Quantum Computing Market Segmentation

This market has been divided into types, applications and regions. The growth of each segment provides a precise calculation and forecast of sales by type and application, in terms of volume and value for the period between 2020 and 2026. This analysis can help you develop your business by targeting qualified niche markets. . Market share data are available at global and regional levels. The regions covered by the report are North America, Europe, Asia-Pacific, the Middle East and Africa and Latin America. Research analysts understand competitive forces and provide competitive analysis for each competitor separately.

Quantum Computing Market by Type:

YYYY

Quantum Computing Market by Application:

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Quantum Computing Market by Region:

North America (The USA, Canada, and Mexico)Europe (Germany, France, the UK, and Rest of Europe)Asia Pacific (China, Japan, India, and Rest of Asia Pacific)Latin America (Brazil and Rest of Latin America.)Middle East &Africa (Saudi Arabia, the UAE, South Africa, and Rest of Middle East & Africa)

The report answers important questions that companies may have when operating in the Quantum Computing market. Some of the questions are given below:

What will be the size of the Quantum Computing market in 2026?

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Which application is projected to gain a lions share of the Quantum Computing market?

Which region is foretold to create the most number of opportunities in the Quantum Computing market?

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How will the market situation change over the next few years?

What are the common business tactics adopted by players?

What is the growth outlook of the Quantum Computing market?

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Apart from hottest technological advances in the Quantum Computing market, it brings to light the future plans of dominant players in the industry

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Market Overview: This section comes under executive summary and is divided into four sub-sections. It basically introduces the Quantum Computing market while focusing on market size by revenue and production, market segments by type, application, and region, and product scope.

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Market Share by Region: It provides regional market shares by production and revenue besides giving details about gross margin, price, and other factors related to the growth of regional markets studied in the report. The review period considered here is 2015-2019.

Company Profiles: Each player is assessed for its market growth in terms of different factors such as markets served, gross margin, price, revenue, production, product specification, and areas served.

Manufacturing Cost Analysis: It is sub-divided into four chapters, viz. industrial chain analysis, manufacturing process analysis, manufacturing cost structure, and key raw materials analysis.

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Quantum Computing Market 2020 Key Players, Share, Trend, Segmentation and Forecast to 2026 - Cole of Duty

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Learn Quantum Computing With Spaced Repetition – Hackaday

Everyone learns differently, but cognitive research shows that you tend to remember things better if you use spaced repetition. That is, you learn something, then after a period, you are tested. If you still remember, you get tested again later with a longer interval between tests. If you get it wrong, you get tested earlier. Thats the idea behind [Andy Matuschak s]and [Michael Nielsens] quantum computing tutorial. You answer questions embedded in the text. You answer to yourself, so theres no scoring. However, once you click to reveal the answer, you report if you got the answer correct or not, and the system schedules you for retest based on your report.

Does it work? We dont know, but we have heard that spaced repetition is good for learning languages, among other things. We suspect that like most learning methods, it works better for some people than others.

Continue reading Learn Quantum Computing With Spaced Repetition

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Learn Quantum Computing With Spaced Repetition - Hackaday

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GlobalQuantum Software Market Report 2020 Sales Forecast to Grow Negatively in Western Regio post COVID 19 Impact Analysis Updated Edition Top Players…

Global Quantum Software Market analysis 2015-2027, is a research report that has been compiled by studying and understanding all the factors that impact the market in a positive as well as negative manner. Some of the prime factors taken into consideration are: various rudiments driving the market, future opportunities, restraints, regional analysis, various types & applications, Covid-19 impact analysis and key market players of the Quantum Software market. nicolas.shaw@cognitivemarketresearch.com or call us on +1-312-376-8303.

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Is China Threatening Americas Dominance In The Digital Space? – Forbes

The Digital Silk Road is one of the flagship projects in China's Belt & Road Initiative

The Digital Silk Road

As one of Chinas grand proposals within the Belt and Road Initiative (BRI), the Digital Silk Road (DSR) project was introduced in March 2015.The DSR incorporates four interrelated, tech-focused components. First, China is investing resources into digital frameworks abroad, including fiber optic cable lines and data hubs. Secondly, the project focuses on creating cutting edge innovations - like satellite navigation systems and smart city projects - which will be fundamental in giving China an edge as a global economic and military power. China is working on rapidly expanding its area of DSR projects. In 2019, the Chinese government launched a new project called the "Belt and Road Digital Economy International Cooperation Initiative'' with a number of nations including the United Arab Emirates, Thailand, Turkey, Laos, Serbia, Kingdom of Saudi Arabia, and Egypt. The Chinese government also established cooperation agreements with 16 other countries to develop technology focused projects under the umbrella of the New Silk Road Initiative.

From a mid to long-term perspective, China plans to strategically fortify this digital initiative. In April of last year, a report published by the Office of the Leading Group for Promoting the Belt and Road Initiative highlighted that the Chinese Communist Party (CCP) has actively focused on the DSR Initiative with innovation-focused industrial frontier areas. These include cloud computing, nanotechnology, quantum computing, big data, artificial intelligence, and smart cities.

China has made significant telecom investments globally under its flagship Belt & Road Initiative

Impact of Covid-19

Covid-19 has significantly impacted the Chinese economy, particularly the small-medium enterprises. Thus, the governments fiscal and monetary policies have shifted focus on stabilizing the domestic economy. This has strongly impacted the BRI. However, the Information Communication Technology (ICT) infrastructure projects are more cost-effective and can be completed at a faster pace compared to transportation and energy projects. Therefore, the DSR projects are more likely to attract significant investment and garner more interest from investors as compared to other BRI projects after Covid-19.

Is the Digital Silk Road a challenge and a national security threat to the US?

Fitch Solutions believes that the race in technological advancements will continue to be a key focal point of tension between the US and China. The Digital Silk Road is an essential pillar of China's global infrastructure strategy to manage the flow of data worldwide. Most of the infrastructure that is being used within the DSR projects involves little if any US technology, which is a cause of major concern for many Western policymakers and business executives. This is compounded by the fact that data traffic monitoring within China has greatly increased and thus the potential interference with sensitive monetary and security-related data could also be significantly compromised. Chinese tech firms have become highly proficient at using artificial intelligence (AI) to strengthen both their local businesses and relationships with consumers. The data and information accumulated from end-users will give Chinese companies considerably greater insights which will ultimately help them in gaining substantial market share within the BRI countries.

The Belt and Road Initiative supported by the DSR projects do not come without criticism and controversy. Critics have claimed that many Southeast Asian countries involved in the BRI have been drawn in by China's rigorous laws on the localization of data. However, some analysts argue that such changes are mostly being made to protect the information of citizens and incentivize foreign investments into local data hubs, rather than an inclination for ascribing to China's model of cyber administration. Nonetheless, the potential for these structures to be utilized by local governments to clamp down on social discord and political opponents cannot be ignored.

Smart City, Guangzhou Urban Skyline

The BRI has advanced Chinas technological prowess to the point where it now poses as the quintessential challenger to the US in terms of global technological partnerships. Earlier this year in February, the CCP made a concerted effort to focus on digital infrastructure projects including 5G expansions as one of the critical solutions to bolster their economy after the Covid-19 pandemic. Chinese companies such as Huawei Marine Networks have already laid down about 36,964 miles of undersea fibre optic cables in more than 95 different projects spanning the Indo-Pacific, South Pacific, and the Atlantic oceans. Chinese firms' global share in such transnational undersea cable projects have skyrocketed from a mere 7% in 2012 to 20% in 2019.

Expected market growth of 5G subscribers globally.

What choice will the US make?

American business leaders and the Trump administration are clearly intent on protecting US companies and supply chains from heavy reliance on China. For example, the Semiconductor Industry Association (SIA)s recent $32B proposal aims to sharpen the edge of the US semiconductor industry. Semiconductor chips underpin some of the critical commercial and defense technologies of the future which include 5G networks and artificial intelligence. Furthermore, US Justice Department officials tacit pressure on a high-capacity undersea data cable system to bypass Hong Kong is a clear example that reflects Americas hardening stance on China.

In the Covid-19 era and especially given the acrimonious sentiment in Washington and Beijing with respect to Sino-US relations, it is incumbent to not forget that competition and cooperation have always defined US-China relations. The United States is currently losing the race against China in the digital space. However, that does not mean the race is over. Public-private partnerships are needed now more than ever. The US government and the private sector must invest significantly more resources into developing technology and advancing innovation at home. Failing to do so could risk the US permanently losing its global technological leadership to China.

A special thanks to Jeeho Bae and Yaser Faheem for contributing to this article.

Authors:

Mr. Earl Carr is the Vice President of International Research at Momentum Advisors, a New York based SEC-registered international wealth management firm. Jeeho Bae and Yaser Faheem are Research Consultants at Momentum Advisors.

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Is China Threatening Americas Dominance In The Digital Space? - Forbes

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US: Congress Should Back Open Technology Fund – Human Rights Watch

(Washington) The United States Congress should voice its support for the Open Technology Fund (OTF), a broad coalition of organizations and individuals committed to internet freedom said in a letter to members of Congress yesterday.

The fund is an independent nonprofit grantee of the United States Agency for Global Media (USAGM). Over the past eight years, the fund and the projects it supports including the encrypted message service Signal, the anonymizing browser Tor, and the secure operating systems Qubes and Tails have enabled over two million people in more than 60 countries to safely access the internet free from censorship and repressive surveillance.

The technologies that the Open Technology Fund supports underly nearly all of the tools we have to protect people accessing the internet in closed societies, said Seamus Tuohy, Information Security director at Human Rights Watch. OTF has been a credible, transparent, and trustworthy partner to global internet freedom advocates, and their work is critical to the pursuit of fundamental human rights in the digital age. The takeover of the leadership of this independent nonprofit organization is shocking and threatens to undo OTFs many achievements.

The Open Technology Funds CEO, Libby Liu, offered her resignation several days ago because she became aware of a lobbying effort that would push the group's funds toward closed-source tools rather than the open-source ones it has traditionally championed. She was fired late on the evening of June 17, 2020, effective immediately, by Michael Pack, the CEO of USAGM. Soon afterward, Pack removed the funds independent, expert bipartisan board of directors and replaced them with officials from the US Department of Housing and Urban Development; USAID; the US Office of Management and Budget; USAGM; and Liberty Counsel Action, an advocacy group dedicated to promoting right-wing evangelical Christian political issues with a strong anti-abortion and anti-LGBT agenda.

In addition to fostering the development of freely available tools to protect security and privacy of communications, OTF has also provided critical support for existing tools that face attack and new challenges. Its support has been critical to rallying a global community of internet freedom activists who work to overcome censorship and surveillance.

Advocates for digital rights, including Human Rights Watch, have serious concerns that new USAGM leadership will try to dismantle the fund and reallocate government funding toward closed-source technologies severely limiting who can access them and jeopardizing users security. If Congress fails to block USAGM from doing so, it will risk undermining, worldwide, the realization of free speech, thought, association, worship, and other fundamental human rights for which free and open access to the internet is often vital.

The letter is also available for public sign-on here.

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David Pratt: Will the next global pandemic take place online? – The National

ONLY a few weeks ago there was a warning about another pandemic. That it probably escaped the notice of most of us is hardly surprising. To begin with the world had more than enough to contend with in the shape of Covid-19.

Also it wasnt a new alert, in fact experts have issued it countless times for many years now. Had most of us been aware of this other threat, the chances are we would have dismissed it anyway as something unlikely to impact on our lives directly. In that assumption we would have been dangerously wrong.

As experts at the Geneva-based World Economic Forum (WEF) pointed out earlier this month, Covid-19 is not the only risk with the ability to quickly and exponentially disrupt the way we all live. Or, as they more succinctly described it, our new normal isnt Covid-19 itself its Covid-like incidents.

What these experts are referring to is the inevitability of a global cyber pandemic, one that would spread faster and further than any biological virus, impacting upon and potentially devastating many aspects of our lives.

Sound far-fetched and too sci-fi to be believable? Then think again. In fact just check the news from Australia this weekend where the prime minister, Scott Morrison, has confirmed that a state-sponsored cyber-attack is currently underway, targeting Australian government, business, education and political organisations.

While experts say that this latest attack in Australia is not particularly sophisticated, they have been so persistent there that the government felt now was the time to speak out.

The same experts too warned that the current hacking should serve as a wake-up call to the overall massive rise in cyber-attacks and their potential to wreak havoc in the future with the outbreak of an online pandemic.

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One of those experts Dan Lohrmann, writing recently for the US magazine Government Technology, detailed through the prism of the American experience the duration over which such warnings have been given and their significance.

For more than a decade, security leaders predicted that a Cyber Pearl Harbour or Cyber 9/11 was coming that would dramatically change society as we know it, said Lohrmann.

In his assessment he cites Janet Napolitano, former US Secretary of Homeland Security, who as far back as 2013 warned that America will, at some point, face a major cyber event that will have a serious effect on our lives, our economy and the everyday functioning of our society.

But as Covid-19 has revealed such attacks were never only going to be limited to the US.

Right now evidence is mounting daily that state-backed hackers are seizing on the Covid-19 pandemic to lead cyber espionage transnationally at a time when home working and anxiety about infection are making populations more vulnerable to online hacking.

Attacks have always been socially engineered to prey on peoples fears, habits, and ultimately, their bank accounts, but the exploitation in the Covid-19 era is nothing short of sinister, warned Christopher Gerg, an information security expert writing in Security magazine last month. Just how sinister is borne out by the extent to which hackers have been exploiting employees whose working environment has radically changed as a result of Covid-19.

Work from home is a gold mine for spies, James Lewis, cyber security expert at the Washington based Centre for Strategic and International Studies, told the Financial Times recently

The Chinese in particular benefit because it gives them more and easier targets to go after and they have the resources to take advantage of a surge in easier targets.

In April a rare joint assessment released by Britains National Cyber Security Centre (NCSC) - a branch of signals intelligence agency GCHQ and the US Cybersecurity and Infrastructure Security Agency (CISA) - part of the Department of Homeland Security highlighted the growing use of Covid-19 in state-sponsored cyber-attacks.

In the parlance of what security experts call Advanced Persistent Threat groups, hackers working on behalf of nation states such as China, Russia and Iran among many nations are making the most of the outbreak to spy on their adversaries according to NCSC and CISA.

It would be naive to imagine of course that both those same UK and US intelligence communities are not themselves doing likewise. Various reports have already surfaced over the extent to which numerous Chinese organisations or institutions for example have been the subject of scrutiny by the US, UK and others.

Evidence presented in the recent US-UK joint assessment of cyber security breaches here in Britain give some idea of how the coronavirus has upped the ante of such activity on all sides.

APT groups are using the Covid-19 pandemic as part of their cyber operations, the US version of the report reads. Their goals and targets are consistent with longstanding priorities such as espionage and hack-and-leak operations.

Underlining the scale of the threat from state entities, the Reuters news agency last month reported that hackers linked to Iran targeted Gilead, the US-based pharmaceutical company that makes the anti-COVID drug Remdesivir.

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According to experts who reviewed web archives for Reuters, the hacking infrastructure used in the attempt to compromise the email account of an executive at Gilead, had previously been used in cyber-attacks by a group of suspected Iranian hackers known by the bizarre name Charming Kitten. Such colourful or quaint codenames are not uncommon in the cyber world and often veil the seriousness of such a groups impact.

Access to even just the email of staff at a cutting-edge Western pharmaceutical company could give ... the Iranian government an advantage in developing treatments and countering the disease, said Priscilla Moriuchi, a director with US cyber security firm Recorded Future, and former analyst with the US National Security Agency.

Responding to the hacking claims, Irans mission to the United Nations denied any involvement in the attacks.

The Iranian government does not engage in cyber warfare, spokesman Alireza Miryousefi told the news agency. Cyber activities Iran engages in are purely defensive and to protect against further attacks on Iranian infrastructure, the spokesman added.

Just as in the Gilead case, other state-backed hackers are using similar email lures to entice government officials, academics and employees at public health bodies into clicking on links that give access to their organisations networks.

The World Health Organisation (WHO) is another recent example, reporting that it has experienced a five-fold increase in cyber-attacks compared to this time last year. Some were clearly motivated by profit as much as intelligence gathering.

Many of these attacks on the global health watchdog were targeted at the general public with emails that spoofed WHO employees emails asking for donations. Common phishing scams include emails claiming to come from the director general of the WHO, and others claiming to offer thermometers and face masks.

The virus crisis has brought new intelligence requirements: countries now want to know what other governments are doing about the virus, they want to find out details about vaccines, to make sure theyre aware of the latest developments, the Financial Times cited one security official as saying a few months ago.

So as well as all the usual intelligence sources theyre now focusing on academic organisations that might be doing modelling, people working on public policy responses, scientists who are advising government, the official added. Nation states are asking for new types of intelligence so hackers are pivoting to answer those questions.

But it is attacks on the health institutions and related services at the height of the global pandemic that have both alarmed and outraged cyber security experts and others.

Many point to the fact that hospitals and public sector organisations that deal with health and social care can be particularly vulnerable to cyberattacks.

There are historical precedents here of course in the shape of the devastating global cyber-attack in 2017 that crippled computers in hospitals across the UK and cost the NHS around 100m.

The so called WannaCry hack which shut down hundreds of thousands of computers around the world with messages from hackers demanding ransom payments, hit a third of hospital trusts and 8 per cent of GP practices. Around 1per cent of all NHS care was disrupted over the course of a week.

The hack caused more than 19,000 appointments to be cancelled, costing the NHS 20m between 12 May and 19 May of that year and 72m in the subsequent clean up and upgrades to its Information Technology systems.

The WannaCry hack caused 200,000 computers to lock out users with red-lettered error messages demanding the cryptocurrency Bitcoin. According to investigators those responsible for the global attack was an elite groups of North Korean hackers known as the Lazarus group. While the attack didnt specifically target the NHS, it spread over the Internet using a leaked hacking tool developed by the US spy agency the NSA.

And here lies the obvious parallel with Covid-19, a cyber-attack that creates an infection, but one that would spread faster and further than any biological virus.

Over these past months many of us have become familiar with what is known as the R number or reproduction value by which a diseases ability to spread is rated.

Should the reproductive rate or R0 of Covid-19 be on average around 2 without any social distancing, then each infected person passes the virus to a couple of other people.

By contrast, as cyber security experts at the World Economic Forum have recently pointed out, estimates of R0 of cyberattacks are 27 and above. One of the fastest worms - as they are known in history was the 2003 Slammer/Sapphire worm, which doubled in size approximately every 8.5 seconds, spreading to over 75,000 infected devices in 10 minutes and 10.8 million devices in 24 hours. To give some sense of scale as to what this means, a virus with a reproductive rate of 20 may take only five days to infect over 1 billion devices.

The economic impact of such a global virus and subsequent digital shutdown would, say WEF experts, be of the same magnitude or greater than what we are currently seeing as a result of Covid-19.

The only way to stop the exponential propagation of cyber-Covid would be to fully disconnect all vulnerable devices from one another and the Internet to avoid infection, says Professor Nicholas Davis and Algirde Pipikate, the cybersecurity experts who complied the WEF assessment.

To put this in some kind of context the end result would mean millions of devices would be taken offline in a matter of days. A single day without the internet would cost the world more than $50 billion, while a 21-day global cyber lockdown could cost over $1trillion.

The whole world could experience cyber lockdown until a digital vaccine was developed. All business communication and data transfers would be blocked. Social contact would be reduced to people contactable by in-person visits, copper landline, snail-mail or short-wave radio, the experts added, describing a nightmarish scenario that more than mirrors Covid-19 and the impact it has had on all our lives economically.

Just as warnings have existed for many years over a global biological pandemic so likewise they have existed regarding a cyber pandemic. The systemic cyber-attacks that we are currently witnessing have shown themselves to be both easily deployed and dangerous.

The point now say those best able to judge the scale of the threat, is to fully anticipate them and have the necessary degree of preparedness. If Covid-19 has taught the world anything its that even a short delay in responding can cause colossal damage.

As we tentatively begin to surface from these recent dark and devastating times, it might be hard to even contemplate more potential disaster.

But as we now know from painful experience, fully recognising the extent of any threat and having the measures in place to cope must be a priority.

After all, just as with a biological pandemic so with a cyber equivalent, we now know its not a question of if it will happen, but when.

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