Artificial intelligence can take banks to the next level – TechRepublic

Banking has the potential to improve its customer service, loan applications, and billing with the help of AI and natural language processing.

Image: Kubkoo, Getty Images/iStockPhoto

When I was an executive in banking, we struggled with how to transform tellers at our branches into customer service specialists instead of the "order takers" that they were. This struggle with customer service is ongoing for financial institutions. But it's an area in which artificial intelligence (AI), and its ability to work with unstructured data like voice and images, can help.

"There are two things that artificial intelligence does really well," said Ameek Singh, vice president of IBM's Watson applications and solutions. "It's really good with analyzing images and it also performs uniquely well with natural language processing (NLP)."

SEE:Managing AI and ML in the enterprise 2020 (free PDF)(TechRepublic)

AI's ability to process natural language helps behind the scenes as banks interact with their customers. In call center banking transactions, the ability to analyze language can detect emotional nuances from the speaker, and understand linguistic differences such as the difference between American and British English. AI works with other languages as well, understanding the emotional nuances and slang terms that different groups use.

Collectively, real-time feedback from AI aids bank customer service reps in call centersbecause if they know the sentiments of their customers, it's easier for them to relate to customers and to understand customer concerns that might not have been expressed directly.

"We've developed AI models for natural language processing in a multitude of languages, and the AI continues to learn and refine these linguistics models with the help of machine learning (ML)," Singh said.

SEE:AI isn't perfect--but you can get it pretty darn close(TechRepublic)

The result is higher quality NLP that enables better relationships between customers and the call center front line employees who are trying to help them.

But the use of AI in banking doesn't stop there. Singh explained how AI engines like Watson were also helping on the loans and billing side.

"The (mortgage) loan underwriter looks at items like pay stubs and credit card statements. He or she might even make a billing inquiry," Singh said.

Without AI, these document reviews are time consuming and manual. AI changes that because the AI can "read" the document. It understands what the salient information is and also where irrelevant items, like a company logo, are likely to be located. The AI extracts the relevant information, places the information into a loan evaluation model, and can make a loan recommendation that the underwriter reviews, with the underwriter making a final decision.

Of course, banks have had software for years that has performed loan evaluations. However, they haven't had an easy way to process foundational documents such as bills and pay stubs, that go into the loan decisioning process and that AI can now provide.

SEE:These five tech trends will dominate 2020(ZDNet)

The best news of all for financial institutions is that AI modeling and execution don't exclude them.

"The AI is designed to be informed by bank subject matter experts so it can 'learn' the business rules that the bank wants to apply," Singh said. "The benefit is that real subject matter experts get involvednot just the data scientists."

Singh advises banks looking at expanding their use of AI to carefully select their business use cases, without trying to do too much at once.

"Start small instead of using a 'big bang' approach," he said. "In this way, you can continue to refine your AI model and gain success with it that immediately benefits the business."

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Artificial intelligence can take banks to the next level - TechRepublic

Health care of tomorrow, today: How artificial intelligence is fighting the current, and future, COVID-19 pandemic | TheHill – The Hill

SARS-COV-2 has upended modern health care, leaving health systems struggling to cope. Addressing a fast-moving and uncontrolled disease requires an equally efficient method of discovery, development and administration. Artificial Intelligence (AI) and Machine Learning driven health care solutions provide such an answer. AI-enabled health care is not the medicine of the future, nor does it mean robot doctors rolling room to room in hospitals treating patients. Instead of a hospital from some future Jetsons-like fantasy, AI is poised to make impactful and urgent contributions to the current health care ecosystem. Already AI-based systems are helping to alleviate the strain on health care providers overwhelmed by a crushing patient load, accelerate diagnostic and reporting systems, and enable rapid development of new drugs and existing drug combinations that better match a patients unique genetic profile and specific symptoms.

For the thousands of patients fighting for their lives against this deadly disease and the health care providers who incur a constant risk of infection, AI provides an accelerated route to understand the biology of COVID-19. Leveraging AI to assist in prediction, correlation and reporting allow health care providers to make informed decisions quickly. With the current standard of PCR based testing requiring up to 48 hours to return a result, New York-based Envisagenics has developed an AI platform that analyzes 1,000 patient samples in parallel in just two hours. Time saves lives, and the company hopes to release the platform for commercial use in the coming weeks.

AI-powered wearables, such as a smart shirt developed by Montreal-based Hexoskin to continuously measure biometrics including respiration effort, cardiac activity, and a host of other metrics, provide options for hospital staff to minimize exposure by limiting the required visits to infected patients. This real-time data provides an opportunity for remote monitoring and creates a unique dataset to inform our understanding of disease progression to fuel innovation and enable the creation of predictive metrics, alleviating strain on clinical staff. Hexoskin has already begun to assist hospitals in New York City with monitoring programs for their COVID-19 patients, and they are developing an AI/ML platform to better assess the risk profile of COVID-19 patients recovering at home. Such novel platforms would offer a chance for providers and researchers to get ahead of the disease and develop more effective treatment plans.

AI also accelerates discovery and enables efficient and effective interrogation of, the necessary chemistry to address COVID-19. An increasing number of companies are leveraging AI/ML to identify new treatment paths, whether from a list of existing molecules or de novo discovery. San Francisco-based Auransa is using AI to map the gene sequence of SARS-COV-2 to its effect on the host to generate a short-list of already approved drugs that have a high likelihood to alleviate symptoms of COVID-19. Similarly, UK-based Healx has set its AI platform to discover combination therapies, identifying multi-drug approaches to simultaneously treat different aspects of the disease pathology to improve patient outcomes. The company analyzed a library of 4,000 approved drugs to map eight million possible pairs and 10.5 billion triplets to generate combination therapy candidates. Preclinical testing will begin in May 2020.

Developers cannot always act alone - realizing the potential of AI often requires the resources of a collaboration to succeed. Generally, the best data sets and the most advanced algorithms do not exist within the same organization, and it is often the case that multiple data sources and algorithms need to be combined for maximum efficacy. Over the last month, we have seen the rise of several collaborations to encourage information sharing and hasten potential outcomes to patients.

Medopad, a UK-based AI developer, has partnered with Johns Hopkins University to mine existing datasets on COVID-19 and relevant respiratory diseases captured by the UK Biobank and similar databases to identify a biomarker associated with a higher risk for COVID-19. A biomarker database is essential in executing long-term population health measures, and can most effectively be generated by an AI system. In the U.S., over 500 leading companies and organizations, including Mayo Clinic, Amazon Web Services and Microsoft, have formed the COVID-19 Healthcare Coalition to assist in coordinating on all COVID-19 related matters. As part of this effort, LabCorp and HD1, among others, have come together to use AI to make testing and diagnostic data available to researchers to help build disease models including predictions of future hotspots and at-risk populations. On the international stage, the recently launched COAI, a consortium of AI-companies being assembled by French-US OWKIN, aims to increase collaborative research, to accelerate the development of effective treatments, and to share COVID-19 findings with the global medical and scientific community.

Leveraging the potential of AI and machine learning capabilities provides a potent tool to the global community in tackling the pandemic. AI presents novel ways to address old problems and opens doors to solving newly developing population health concerns. The work of our health care system, from the research scientists to the nurses and physicians, should be celebrated, and we should embrace the new tools which are already providing tremendous value. With the rapid deployment and integration of AI solutions into the COVID-19 response, the health care of tomorrow is already addressing the challenges we face today.

Brandon Allgood, PhD, is vice chair of the Alliance for Artificial Intelligence in Healthcare, a global advocacy organization dedicated to the discovery, development and delivery of better solutions to improve patient lives. Allgood is a SVP of DS&AI at Integral Health, a computationally driven biotechnology company in Boston.

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Health care of tomorrow, today: How artificial intelligence is fighting the current, and future, COVID-19 pandemic | TheHill - The Hill

How Artificial Intelligence, IoT And Big Data Can Save The Bees – Forbes

Modern agriculture depends on bees. In fact, our entire ecosystem, including the food we eat and the air we breathe, counts on pollinators. But the pollinator population is declining according to Sabiha Rumani Malik, the founder and executive president of The World Bee Project. But, in an intriguing collaboration with Oracle and by putting artificial intelligence, internet of things and big data to work on the problem, they hope to reverse the trend.

How Artificial Intelligence, IoT and Big Data Can Save The Bees

Why is the global bee population in decline?

According to an Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) report, pollinators are in danger. There are many reasons pollinators are being driven to extinction, including habitat destruction, urbanization, use of pesticides, pollution, fragmentation of natural flowering habitats, predators and parasites, and changing climate. However, until recently, with The World Bee Project's work, there hasn't been a global initiative to study bee populations or to research and attack the issue from a global perspective.

Why is it important to save the bees?

Did you know that bees, along with other pollinators, such as butterflies, are the reason plants can produce seeds and reproduce? According to the United States Department of Agriculture (USDA), 35 percent of food crops and three-quarters of the worlds flowering plants depend on bees and pollinators. In fact, in order to ensure the almond crop gets pollinated in California each year, most of the beehives in the United States are shipped to California to ensure it. In fact, bees help to pollinate 90% of the leading global crop types, including fruit trees, coffee, vanilla, and cotton plants. And, of course, healthy plants are critical in replenishing our oxygen supply thanks to photosynthesis.

If the pollinators aren't alive or healthy enough to do their job, our global crop production, food security, biodiversity, and clean air is in peril. Honeybees are the world's most important pollinators. As much as 40 percent of the global nutrient supply for humans depends on pollinators. Presently there are approximately 2 billion people who suffer deficiencies of micronutrients.

Our lives are intrinsically connected to the bees, Malik said.

Partnership to monitor global honeybee population

The World Bee Project is the first private globally coordinated organization to launch and be devoted to monitoring the global honey bee population. Since 2014, the organization has brought together scientists to study the global problem of bee decline to provide insight about the issue to farmers, governments, beekeepers, and other vested organizations.

In 2018, Oracle Cloud technology was brought into the work to better understand the worldwide decline in bee populations, and The World Bee Project Hive Network began.

How technology can save the bees

How could technology be used to save the bees? Technology can be leveraged to help save the bees in a similar way that it is applied to other innovative projects. First, by using internet-of-things sensors, including microphones and cameras that can see invasive predators and collect data from the bees and hives. Human ingenuity and innovations such as wireless technologies, robotics, and computer vision help deliver new insights and solutions to the issue. One of the key metrics of a hive's health is the sounds it produces. Critical to the data-gathering efforts is to "listen" to the hives to determine colony health, strength, and behavior as well as collect temperature, humidity, apiary weather conditions, and hive weight.

The sound and vision sensors can also detect hornets, which can be a threat to bee populations.

The data is then fed to the Oracle Cloud, where artificial intelligence (AI) algorithms get to work to analyze the data. The algorithms will look for patterns and try to predict behaviors of the hive, such as if it's preparing to swarm. The insights are then shared with beekeepers and conservationists so they can step in to try to protect the hives. Since it's a globally connected network, the algorithms can also learn more about differences in bee colonies in different areas of the world. Students, researchers, and even interested citizens can also interact with the data, work with it through the hive network's open API, and discuss it via chatbot.

For example, the sound and vision sensors can detect hornets, which can be a threat to bee populations. The sound from the wing flab or a hornet is different from those of bees, and the AI can pick this up automatically and alert beekeepers to the hornet threat.

Technology is making it easier for The World Bee Project to share real-time information and gather resources to help save the world's bee population. In fact, Malik shared, "Our partnership with Oracle Cloud is an extraordinary marriage between nature and technology." Technology is helping to multiply the impact of The World Bee Project Hive Network across the world and makes action to save the bees quicker and more effective.

Here you can see a short video showing the connected beehive in augmented reality during my interview with Sabiha Rumani Malik - pretty cool:

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How Artificial Intelligence, IoT And Big Data Can Save The Bees - Forbes

When the coronavirus hit, California turned to artificial intelligence to help map the spread – 60 Minutes – CBS News

California was the first state to shut down in response to the COVID-19 pandemic. It also enlisted help from the tech sector, harnessing the computing power of artificial intelligence to help map the spread of the disease, Bill Whitaker reports. Whitaker's story will be broadcast on the next edition of 60 Minutes, Sunday, April 26 at 7 p.m. ET/PT on CBS.One of the companies California turned to was a small Canadian start-up called BlueDot that uses anonymized cell phone data to determine if social distancing is working. Comparing location data from cell phone users over a recent 24-hour period to a week earlier in Los Angeles, BlueDot's algorithm maps where people are still gathering. It could be a hospital or it could be a problem. "We can see on a moment by moment basis if necessary, where or not our stay at home orders were working," says California Governor Gavin Newsom.The data allows public health officials to predict which hospitals might face the greatest number of patients. "We are literally looking into the future and predicting in real time based on constant update of information where patterns are starting to occur," Newsom tells Whitaker. "So the gap between the words and people's actions is often anecdotal. But not with this technology."California is just one client of BlueDot. The firm was among the first to warn of the outbreak in Wuhan on December 31. Public officials in ten Asian countries, airlines and hospitals were alerted to the potential danger of the virus by BlueDot.BlueDot also uses anonymized global air ticket data to predict how an outbreak of infectious disease might spread. BlueDot founder Dr. Kamran Khan tells Whitaker, "We can analyze and visualize all this information across the globe in just a few seconds." The computing power of artificial intelligence lets BlueDot sort through billions of pieces of raw data offering the critical speed needed to map a pandemic. "Our surveillance system that picked up the outbreak of Wuhan automatically talks to the system that is looking at how travelers might go to various airports around Wuhan," says Dr. Khan.

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When the coronavirus hit, California turned to artificial intelligence to help map the spread - 60 Minutes - CBS News

First meeting of the new CEPEJ Working Group on cyberjustice and artificial intelligence – Council of Europe

The new CEPEJ Working group on Cyberjustice and artificial intelligence (CEPEJ-GT-CYBERJUST) will hold a first meeting by videoconference on 27 April 2020.

The objective of the Working group is to analyse and develop appropriate tools on new issues such as the use of cyberjustice or artificial intelligence in judicial systems in relation to the efficiency and quality of judicial systems.

At this meeting, an exchange of views will take place on the possible future work of the Working Group, which should be based on the themes contained in its mandate:

The CYBERJUST group will also hold a joint meeting at a later stage with the CEPEJ Working Group on Quality of Justice (CEPEJ-GT-QUAL) with a view to sharing tasks, in particular to follow up the implementation of the CEPEJ European Ethical Charter on the use of artificial intelligence in judicial systems and their environment and its toolbox and to ensure co-ordination.

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First meeting of the new CEPEJ Working Group on cyberjustice and artificial intelligence - Council of Europe

Artificial Intelligence in the Oil & Gas Industry, 2020-2025 – Upstream Operations to Witness Significant Growth – ResearchAndMarkets.com – Yahoo…

The "AI in Oil and Gas Market - Growth, Trends, and Forecast (2020-2025)" report has been added to ResearchAndMarkets.com's offering.

The AI in Oil and Gas market was valued at USD2 billion in 2019 and is expected to reach USD3.81 billion by 2025, at a CAGR of 10.96% over the forecast period 2020-2025. As the cost of IoT sensors declines, more major oil and gas organizations are bound to start integrating these sensors into their upstream, midstream, and downstream operations along with AI-enabled predictive analytics.

Oil and gas remains as one of the most highly valued commodities in the energy sector. In recent years, there has been an increased focus on improving efficiency, and reducing downtime has been a priority for the oil and gas companies as their profits slashed since 2014, due to fluctuating oil prices. However, as concerns over the environmental impact of energy production and consumption persist, oil and gas companies are actively seeking innovative approaches to achieve their business goals, while reducing environmental impact.

In addition, the Oil and Gas Authority (OGA) is making use of AI in parallel ways, owing to the United Kingdom's first oil and gas National Data Repository (NDR), launched in March 2019, using AI to interpret data, which, according to the OGA anticipations, is likely to assist to discover new oil and gas forecast and permit more production from existing infrastructures.

The offshore oil and gas business use AI in data science to make the complex data used for oil and gas exploration and production more reachable, which lets companies to discover new exploration prospects or make more use out of existing infrastructures. For instance, in January 2019, BP invested in Houston-based technology start-up, Belmont Technology, to bolster the company's AI capabilities, developing a cloud-based geoscience platform nicknamed Sandy.

However, high capital investments for the integration of AI technologies, along with the lack of skilled AI professionals, could hinder the growth of the market. A recent poll validated that 56% of senior AI professionals considered that a lack of additional and qualified AI workers was the only biggest hurdle to be overcome, in terms of obtaining the necessary level of AI implementation across business operations.

Key Market Trends

Upstream Operations to Witness a Significant Growth

North America Expected to Hold a Significant Market Share

Competitive Landscape

The AI in the oil and gas market is highly competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market. The companies are continuously capitalizing on acquisitions, in order to broaden, complement, and enhance its product and service offerings, to add new customers and certified personnel, and to help expand sales channels.

Recent Industry Developments

Key Topics Covered

1 INTRODUCTION

1.1 Study Assumptions and Market Definition

1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

4.1 Market Overview

4.2 Industry Attractiveness - Porter's Five Forces Analysis

4.3 Technology Snapshot - By Application

4.3.1 Quality Control

4.3.2 Production Planning

4.3.3 Predictive Maintenance

4.3.4 Other Applications

5 MARKET DYNAMICS

5.1 Market Drivers

5.1.1 Increasing Focus to Easily Process Big Data

5.1.2 Rising Trend to Reduce Production Cost

5.2 Market Restraints

5.2.1 High Cost of Installation

5.2.2 Lack of Skilled Professionals across the Oil and Gas Industry

6 MARKET SEGMENTATION

6.1 By Operation

6.1.1 Upstream

6.1.2 Midstream

6.1.3 Downstream

6.2 By Service Type

6.2.1 Professional Services

6.2.2 Managed Services

6.3 Geography

6.3.1 North America

6.3.2 Europe

6.3.3 Asia-Pacific

6.3.4 Latin America

6.3.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

7.1 Company Profiles

7.1.1 Google LLC

7.1.2 IBM Corporation

7.1.3 FuGenX Technologies Pvt. Ltd.

7.1.4 Microsoft Corporation

7.1.5 Intel Corporation

7.1.6 Royal Dutch Shell PLC

7.1.7 PJSC Gazprom Neft

7.1.8 Huawei Technologies Co. Ltd.

7.1.9 NVIDIA Corp.

7.1.10 Infosys Ltd.

7.1.11 Neudax

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET

For more information about this report visit https://www.researchandmarkets.com/r/14dtcc

View source version on businesswire.com: https://www.businesswire.com/news/home/20200424005472/en/

Contacts

ResearchAndMarkets.comLaura Wood, Senior Press Managerpress@researchandmarkets.com

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Artificial Intelligence in the Oil & Gas Industry, 2020-2025 - Upstream Operations to Witness Significant Growth - ResearchAndMarkets.com - Yahoo...

Pre & Post COVID-19 Market Estimates-Artificial Intelligence (AI) Market in Retail Sector 2019-2023| Increased Efficiency of Operations to Boost…

LONDON--(BUSINESS WIRE)--The artificial intelligence (AI) market in retail sector is expected to grow by USD 14.05 billion during 2019-2023. The report also provides the market impact and new opportunities created due to the COVID-19 pandemic. The impact can be expected to be significant in the first quarter but gradually lessen in subsequent quarters with a limited impact on the full-year economic growth, according to the latest market research report by Technavio. Request a free sample report

Companies operating in the retail sector are increasingly adopting AI solutions to improve efficiency and productivity of operations through real-time problem-solving. For instance, the integration of AI with inventory management helps retailers to effectively plan their inventories with respect to demand. AI also helps retailers to identify gaps in their online product offerings and deliver a personalized experience to their customers. Many such benefits offered by the integration of AI are crucial in driving the growth of the market.

To learn more about the global trends impacting the future of market research, download a free sample: https://www.technavio.com/talk-to-us?report=IRTNTR31763

As per Technavio, the increased applications in e-commerce will have a positive impact on the market and contribute to its growth significantly over the forecast period. This research report also analyzes other significant trends and market drivers that will influence market growth over 2019-2023.

Artificial Intelligence (AI) Market in Retail Sector: Increased Applications in E-commerce

E-commerce companies are increasingly integrating AI in various applications to gain a competitive advantage in the market. The adoption of AI-powered tools helps them to analyze the catalog in real-time to serve customers with similar and relevant products. This improves both sales and customer satisfaction. E-commerce companies are also integrating AI with other areas such as planning and procurement, production, supply chain management, in-store operations, and marketing to improve overall efficiency. Therefore, the increasing application areas of AI in e-commerce is expected to boost the growth of the market during the forecast period.

Bridging offline and online experiences and the increased availability of cloud-based applications will further boost market growth during the forecast period, says a senior analyst at Technavio.

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Artificial Intelligence (AI) Market in Retail Sector: Segmentation Analysis

This market research report segments the artificial intelligence (AI) market in retail sector by application (sales and marketing, in-store, planning, procurement, and production, and logistics management) and geographic landscape (North America, APAC, Europe, MEA, and South America).

The North America region led the artificial intelligence (AI) market in retail sector in 2018, followed by APAC, Europe, MEA, and South America respectively. During the forecast period, the North America region is expected to register the highest incremental growth due to factors such as early adoption of AI, rising investments in R&D and start-ups, and increasing investments in technologies.

Technavios sample reports are free of charge and contain multiple sections of the report, such as the market size and forecast, drivers, challenges, trends, and more. Request a free sample report

Some of the key topics covered in the report include:

Market Drivers

Market Challenges

Market Trends

Vendor Landscape

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavios report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavios comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

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Pre & Post COVID-19 Market Estimates-Artificial Intelligence (AI) Market in Retail Sector 2019-2023| Increased Efficiency of Operations to Boost...

EUREKA Clusters Artificial Intelligence (AI) Call | News item – The Netherlands and You

News item | 21-04-2020 | 04:58

Singapore has joined the EUREKA Clusters Artificial Intelligence (AI) Call. Through this new initiative, Singapore and Dutch companies can receive support in the facilitation of and funding for joint innovation projects in the AI domain with entities from 14 other EUREKA countries. The 14 partner countries are Austria, Belgium, Canada, Denmark, Finland, Germany, Hungary, Luxembourg, Malta, Portugal, Spain, Sweden, South Korea and Turkey. The call will be open from 1 April to 15 June 2020, with funding decisions to be made by January 2021.

The EUREKA Clusters CELTIC-NEXT, EUROGIA, ITEA 3, and PENTA-EURIPIDES, have perceived a common cross domain interest in developing, adapting and utilising emerging Artificial Intelligence within and across their focus areas. These Clusters, together with a number of EUREKA Public Authorities, are now launching a Call for innovative projects in the AI domain. The aim of this Call is to boost the productivity & competitiveness of European industries through the adoption and use of AI systems and services.

The call for proposals is open to projects that apply AI to a large number of application areas, including but not limited to Agriculture, Circular Economy, Climate Response, Cybersecurity, eHealth, Electronic Component and Systems, ICT and applications, Industry 4.0, Low Carbon Energy, Safety, Transport and Smart Mobility, Smart Cities, Software Innovation, and Smart Engineering.

More information: https://eureka-clusters-ai.eu/

To find partners please check the online brokerage tool:https://eureka-clusters-ai.eu/brokerage-tool/

The Netherlands Enterprise Agency (RVO) will host a webinar on Tuesday 28th of April at 10am CEST for Dutch based potential applicants or intermediaries, register here.

Enterprise Singapore will host a webinar on Monday 27 April at 4pm (SG time) for Singapore based potential applicants or intermediaries, register here.

Link:

EUREKA Clusters Artificial Intelligence (AI) Call | News item - The Netherlands and You

Soyuz launches from Kazakhstan with space station supply ship – Spaceflight Now

A Soyuz-2.1a rocket lifts off from the Baikonur Cosmodrome in Kazakhstan with the 75h Progress supply ship for the International Space Station. Credit: Roscosmos

A Soyuz rocket decorated to mark the 75th anniversary of the end of World War II in Europe fired into space Friday from the Baikonur Cosmodrome in Kazakhstan, sending a Progress supply ship on a fast-track, three-hour pursuit of the International Space Station.

The Soyuz-2.1a booster ignited its kerosene-fueled engines at climbed away from Launch Pad No. 31 at Baikonur at 9:51:41 p.m. EDT Friday (0151 GMT Saturday) to kick off a nine-minute climb into orbit.

Liftoff occurred at 6:51 a.m. Baikonur time Saturday, and the Soyuz arced into clear skies toward the northeast over the barren Kazakh steppe.

The Soyuz-2.1a rocket was adorned with markings and the number 75 on its payload shroud, signifying the launch occurred on the 75th anniversary of the meeting of U.S. and Soviet troops on the Elbe River in Germany in the final days of World War II in Europe.

The number has a double significance because the cargo mission is the 75th Progress resupply flightto the International Space Station since 2000.

The Soyuz launch was timed less than a minute before the space station soared directly over the historic Central Asia spaceport, putting the Progress cargo freighter on course to dock with the orbiting research outpost less than three-and-a-half hours later.

The Progress MS-14 supply ship separated from the Soyuz rockets third stage around nine minutes into the flight. Seconds later, the automated cargo carrier unfurled navigation antennas and power-generating solar arrays.

A series of thruster firings put the Progress MS-14 in position to begin a final approach to the space station around three hours after launch. The radar-guided rendezvous culminated in a link-up with the rear port of the space stations Zvezda service module at 1:12 a.m. EDT (0512 GMT).

The Progress MS-14 spacecrafts pressurized compartment is packed with nearly 3,000 pounds (1,350 kilograms) of dry cargo, including food, medicine, sanitary and hygienic materials, and equipment for space station systems.

The supply ship also carries around 1,543 pounds (700 kilograms) of propellant for transfer into the stations Zvezda module propulsion system, 926 pounds (420 kilograms) of water, and around 110 pounds (50 kilograms) of compressed air to replenish the stations breathable atmosphere.

After docking, the three-man space station crew will open hatches to the Progress supply ship and begin unpacking the spacecrafts pressurized cabin. The Progress MS-14 spacecraft is scheduled to remain docked at the station through late 2020, when it will depart with trash and re-enter the Earths atmosphere for destruction over the South Pacific Ocean.

The arrival of the space stations next Progress supply shipment occurred a week after the departure of the research labs last crew. Russian cosmonaut Oleg Skripochka and NASA crewmates Jessica Meir and Andrew Morgan landed in Kazakhstan on April 17, leaving veteran NASA astronaut Chris Cassidy in command of the International Space Station.

Cassidy and his Russian crewmates Anatoly Ivanishin and Ivan Vagner launched April 9 for their long-duration expedition on the station, expected to last more than six months.

A Northrop Grumman Cygnus spacecraft that arrived at the space station in February is scheduled to depart the orbiting complex May 11. Like the Progress, the Cygnus freighter will carry trash away from the station and burn up in the atmosphere.

A Japanese HTV cargo ship is scheduled for launch May 20 from the Tanegashima Space Center in Japan. Loaded with several tons of experiments and a fresh set of solar array batteries, the HTV cargo carrier is due to arrive at the space station May 25.

Then SpaceXs Crew Dragon spaceship is set for its first launch with astronauts as soon as May 27 from the Kennedy Space Center in Florida. NASA astronauts Doug Hurley and Bob Behnken will fly aboard the Crew Dragon, with docking at the space station set for May 28 to begin a mission lasting several months.

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Soyuz launches from Kazakhstan with space station supply ship - Spaceflight Now

Long space flights can increase the volume of astronauts’ brains – New Scientist News

By Layal Liverpool

Credit: Delphotos/Alamy

Astronauts brains increase in volume after long space flights, causing pressure to build up inside their heads. This may explain why some astronauts experience worsened vision after prolonged periods in space.

This raises additional concerns for long-duration interplanetary travel, such as the future mission to Mars, says Larry Kramer at the University of Texas Health Science Center at Houston, who led the study.

Kramer and his colleagues scanned the brains of 11 astronauts before they spent about six months on the International Space Station, and at six points over the year after they returned to Earth. They found that all the astronauts had increased brain volume including white matter, grey matter and cerebrospinal fluid around the brain after returning from space.

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Under normal gravity, it is thought that fluid in the brain naturally moves downwards when we stand upright. But there is evidence that microgravity prevents this, resulting in accumulation of fluid in the brain and skull.

The astronauts brain volume increased by 2 per cent on average and the increases were still present one year after they returned to Earth, which could result in higher intracranial pressure, Kramer says. He suspects this might press on the optic nerve, potentially explaining the vision problems frequently reported by astronauts.

Kramer and his team also observed that part of the brain called the pituitary gland was deformed in six out of the 11 astronauts. These results add to a body of evidence suggesting that brain structure can be altered after space flight.

This study is important because it provides data, for the first time in NASA astronauts, demonstrating the persistence of structural brain changes even up to one year following return to Earth, says Donna Roberts at the Medical University of South Carolina.

We are currently working on methods to counteract the changes we are observing in the brain using artificial gravity, says Kramer. These methods to pull blood back towards the feet could include a human-sized centrifuge that would spin a person around at high speed, or a vacuum chamber around the lower half of the body.

Hopefully one of these or other methods will be tested in microgravity and show efficacy, he says.

Journal reference: Radiology, DOI: 10.1148/radiol.2020191413

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How engineers are operating space missions from their homes – The Verge

Last Tuesday, a team of engineers sat huddled around their computer screens, monitoring a spacecraft as it maneuvered around a rocky asteroid more than 140 million miles from Earth. They were conducting an important interplanetary dress rehearsal, running the spacecraft through many of the operations it will do in August when it attempts to snag a tiny sample of rocks from the asteroids surface. This dress rehearsal has been in the works for years, and the team had expected to be gathered together for it in a mission center in Colorado.

Instead, most of them kept tabs on the event from home. It was a skeleton crew that was supporting the event in person, compared to what was originally planned, Mike Moreau, deputy project manager for the mission at NASAs Goddard Space Flight Center, tells The Verge. More than three-quarters of the team was doing it from home and monitoring remotely.

Moreau is part of NASAs OSIRIS-REx mission, tasked with grabbing a sample of the asteroid Bennu and bringing it back to Earth for study. The OSIRIS-REx spacecraft launched in 2016, and the team had planned for this particular dress rehearsal for more than a decade. They hadnt counted on a pandemic occurring during one of the most highly anticipated checkpoints of their mission but the show had to go on.

We were all going to be there together in the mission operations area, and we actually had rehearsed that even before this checkpoint rehearsal; we had done a simulation, Dante Lauretta, the principal investigator on NASAs OSIRIS-REx mission at the University of Arizona, tells The Verge. None of that happened. We were all in remote work conditions.

Just like millions of workers all over the world, the engineers who operate spacecraft are grappling with how to do their jobs while working from home. All of NASAs centers have instituted mandatory telework policies, with some exceptions for essential personnel. That includes many people who are tasked with calculating commands for interplanetary space probes and navigating rovers through harsh terrains on other worlds.

For some, the transition was awkward at first since operating a spacecraft often relies on ample amounts of in-person communication. Thats been the case for Carrie Bridge, who works as a liaison between scientists and the engineers who operate NASAs Curiosity rover on Mars. Every day, she talks with scientists all over the country about the kind of science theyd like the rover to accomplish, and then she relays those desires to the engineers who actually navigate the robot. Normally, she just walks over to the engineering team at NASAs Jet Propulsion Laboratory in Pasadena, California, to coordinate the rovers movements for the day.

My morning consisted of being on the phone with the scientists and then going in and sitting beside the rover planners at the computer, Bridge tells The Verge. And we look at the terrain and look at the targets. I then go and report back to the scientists and say, Okay I think we can drive over here.

Now, that entire routine has been moved online. She says she has about 15 to 20 chat rooms open for all of the engineers and rover planners not to mention telecons with scientists across the country. The level of intensity has gone up because youre kind of always watching things, Bridge says. Im also not exercising anymore, she jokes. I used to walk around, and now Im staring at a computer station for hours on end without moving.

One of the lead rover planners that Bridge communicates with is Matt Gildner, who is also coordinating all the commands for Curiosity from his one-bedroom apartment in Los Angeles. He and his team started testing how to work remotely back in mid-March when the writing was on the wall about the COVID-19 pandemic, he says. He started coordinating everything theyd need to have at home, including audio headsets, monitors, cables, and even 3D glasses. Curiosity sends back 3D images of the Martian terrain, which the rover planners and engineers observe as 3D meshes, allowing them to simulate how the rover will interact with the environment when it moves.

Im at home now, and I have all my headsets on as I talk to multiple audio channels, put on my red-blue glasses and evaluate parts of a drive that were planning for a few minutes as part of our planning day, Gildner tells The Verge. I have a nice desk set up and Ive got all my houseplants around me, dual monitors, and a good keyboard and mouse headset stand. And this is working out just fine.

Someone does need to physically be at mission control at JPL in order to send Curiosity the commands that Gildner and his team develop. That person sends commands out to the Deep Space Network, an array of large radio antennas here on Earth, which then beam commands to interplanetary space probes like the rover.

Other spacecraft operators have figured out a way to send commands to their spacecraft without actually having anyone in a mission control center. The Space Dynamics Laboratory in Utah is responsible for operating two small NASA satellites HARP and CIRiS which are both observing Earth. The team there typically goes into a mission control center to send commands to the spacecraft via a ground station in Virginia. But in a weird twist of fate, operators at the lab came up with a way to actually send the commands from their laptops at home just before everyone went into lockdown.

We were preparing and testing out our working from home techniques right before the pandemic hit, Ryan Martineau, an SDL engineer and spacecraft operator, tells The Verge. We frequently have to operate our spacecraft in the middle of the night, and so we didnt have to have the same two people driving into work every day, we were getting ready to test a secure solution.

Martineau and his colleagues essentially took the software they use at their mission control centers that allows them to connect with the Virginia ground station, and they put it in their local computers. We run a [virtual] Linux machine inside of our Windows laptop that has all the software we need to run the spacecraft, he says. Thanks to this arrangement, Martineau can control the spacecraft around Earth from his home for the foreseeable future. And that means juggling other responsibilities while maintaining the satellites.

I have a three year old and a three month old, Martineau says. There have been a couple of cases where I had to hurry up with a diaper change real quick before I needed to send some commands to the spacecraft.

The presence of children and pets has been a mainstay for many at NASAs workforce at home. One of our dogs [a Great Dane] has this habit of squeaking his toys when he wants attention, Amber Straughn, the associate director for the astrophysics science division at Goddard, writes in an email to The Verge. Hes definitely done that a couple times when Ive been in telecons.

New work companions have also been present for the OSIRIS-REx team as they prepared for their big dress rehearsal last week. Many of the team managers have had to juggle family responsibilities, such as remote learning, as they prepared for the event. For some of the managers it has been really stressful because we obviously wanted to see this go forward, Moreau says. But we were also very concerned about how our people were holding up.

Ultimately, everyone made it to the day of the rehearsal. But with most of the team away from Lockheed Martins mission control center in Colorado, some adjustments needed to be made. Theres no substitute for being in the same building; being on the same floor; being able to walk over to somebodys office and say, Hey, now I was just thinking about this. How does it look on your side? Lauretta says. We couldnt really do any of that.

Lauretta says the team made do with calls, which mostly worked, though there were a few technical difficulties. For some reason my phone kept going on mute, he says. Id be dialed in, and I would be talking and nobody would be hearing me. While that was frustrating, he said everyone was in good spirits. Actually everybody was just happy to be talking to each other on the group chat.

Despite the added challenges, the rehearsal went off without a hitch. During the practice session, OSIRIS-REx got closer to Bennu than its ever been before. It was a key maneuver that paves the way for OSIRIS-REx to get right next to Bennus surface in August and scoop up 60 grams of rocks from a crater called Nightingale. The engineers are thrilled with the result, though there was definitely some sadness over the unexpected circumstances.

I would say it was bittersweet in the sense that it was a great day; everything went according to plan. But we didnt get to celebrate it as a team, says Lauretta, who notes that theyve been waiting for this big test for over a decade. Were hopeful that by August, well all be able to gather together and actually celebrate the actual sample collection event.

For now, its unclear exactly when extreme social distancing will be over, allowing everyone not just spacecraft operators to return to their normal daily routines. But until that time arrives, the people in charge of operating spacecraft are making the most of their new mission control centers at home. For Gildner, its even been a nice distraction from the daily cycle of news surrounding the virus.

Work is a nice escape from everything thats going on, especially when youre working on a spaceflight project, Gildner says You feel like youre doing something that is very worthwhile that humanity appreciates, and right now thats important more than ever, I think.

Continued here:

How engineers are operating space missions from their homes - The Verge

A Brief History of Chimps in Space – Discover Magazine

Long before Neil Armstrong and Buzz Aldrin famously set foot on the moon, the hero of Americas human spaceflight program was a chimpanzee named Ham. On Jan. 31, 1961 a few months before Soviet cosmonaut Yuri Gagarins pioneering flight Ham became the first hominid in space.

Other nonhominid animals had ventured into space before Ham, but he and his fellow astrochimps were trained to pull levers and prove it was physically possible to pilot the Project Mercury spacecraft. And, unlike many other unfortunate primates in the spaceflight program, Ham survived his mission and went on to have a long life.

Ham proved that mankind could live and work in space, reads his grave marker in New Mexico.

Miss Baker, a squirrel monkey, shown just before her flight to space in 1958 on a Jupiter rocket an intermediate-range ballistic missile designed to carry nuclear warheads, not monkeys. Miss Baker and another monkey, a rhesus macaque named Able, both survived the flight and became the first animals the U.S. returned safely from space. (Credit: NASA)

The U.S. Air Force was the first to launch primates into space. Instead of chimps, smaller monkeys were their preferred choice. But those early missions didnt go well for either human or animal.

In 1948, a decade before the creation of NASA, the Air Force strapped a male rhesus monkey named Albert into a capsule on top of a souped-up, Nazi-designed V-2 rocket and launched it from White Sands, New Mexico. Poor Albert suffocated before he reached space.

The next year, a monkey named Albert II was sent on a similar mission. Unlike his predecessor, Albert II succeeded in becoming the first monkey to survive a launch and reach space. Unfortunately, on his journey home, Albert II died when the capsules parachute failed. His spacecraft left a 10-foot-wide crater in the New Mexico desert.

In 1951, the Air Force finally managed to keep a monkey this one named Albert VI alive through both launch and landing. But his capsule failed to reach the boundary of space, leaving him out of the record books.

The honor of first primates to survive a return trip to space goes to a squirrel monkey named Miss Baker, and a rhesus macaque named Able. The pair were launched in 1959 on a Jupiter rocket, an intermediate-range ballistic missile designed to carry nuclear warheads, not monkeys. Sadly, Able died just days after returning to Earth due to complications from a medical procedure.

Ham the astrochimp wears his spacesuit complete with NASA meatball logo prior to his 1961 test flight into space. (Credit: NASA)

While America was struggling to send monkeys into space, their adversaries were racking up animal success stories. Rather than monkeys, the Soviet Union preferred to crew their early spacecraft with stray dogs. And by the time of Miss Bakers and Ables trip, the country had already safely launched and landed dozens of canines. (Though they also experienced a number of gruesome dog deaths.)

By the early 1960s, the U.S. was ready for its first real human spaceflight program, Project Mercury. But instead of monkeys or humans the nascent National Aeronautics and Space Administration decided its inaugural class of astronauts would be chimps.

Monkeys, chimps and humans are all primates. However, chimpanzees and humans are both hominids, which means were much more closely related. In fact, humans share more DNA with chimps than with any other animal.

Beyond their genetic similarities to humans, chimps are also incredibly smart and have complex emotions. This is why NASA figured that if chimps could endure the trip beyond Earths atmosphere in primitive early space capsules, there was a good chance a human astronaut could survive the journey, too.And, whereas monkeys and dogs had been mere passengers, NASA needed a test subject with the intelligence and dexterity to actually prove it could operate a spacecraft.

As NASA put it: Intelligent and normally docile, the chimpanzee is a primate of sufficient size and sapience to provide a reasonable facsimile of human behavior.

All told, the U.S. government acquired 40 chimps for its Mercury program. And one of those males was Ham. He had been captured by trappers in the French Cameroons and taken to the Miami Rare Bird Farm in Florida. From there, Ham and others were soon sold to the military and transferred to Holloman Air Force Base in New Mexico.

The chimps received daily training, including some of the same G-force exposure simulations as their human Mercury 7 counterparts. But, most importantly, handlers taught Ham and the other chimps to pull a lever every time a blue light came on. If they performed the task, they got a tiny banana treat. If they failed, they got a small electric shock to their feet.

Over the course of the training, handlers winnowed the final group of astrochimps down to just six, including four females and two males. Then, with their training complete, the Air Force sent the hominids to Cape Canaveral in Florida on Jan. 2, 1961.

Out of the six chimps, NASA and an Air Force veterinarian ultimately selected Ham, then known as No. 65. He was chosen just before his flight because he seemed particularly feisty and in good humor, according to the Smithsonian National Air and Space Museum.

Ham gives the commander of the USS Donner a handshake. (Credit: NASA)

Those traits would pay off during the mission. Following his launch on Jan. 31, 1961, Hams Mercury capsule unintentionally carried him far higher and faster than NASA intended. His capsule also partially lost air pressure, though the chimp was unharmed because he was sealed inside an inner chamber.

Well never know what Ham was thinking during his six and a half minutes of weightlessness. But, like the later human Mercury astronauts, Ham could have seen out of the capsules small porthole window.

As far as his mission was concerned, Ham successfully pulled his lever at the proper time, performing only a tad slower than he had during practice runs on Earth. By simply tugging on a lever, Ham proved that human astronauts could perform basic physical tasks in orbit, too.

Roughly 16 and a half minutes after launch, Ham splashed down in the ocean. And although the capsule took on some water while recovery crews converged, the chimp seemed unfazed once aboard the rescue ship USS Donner even shaking the commanders hand. Ham eventually became the subject of documentaries and cartoons and graced the covers of national magazines.

He lived out the rest of his life in the North Carolina Zoo, where he died in 1983 at age 25.

Following Ham, just one other chimp would ever journey to space. Enos, who was also bought from the Miami Rare Bird Farm and trained alongside Ham, orbited Earth on Nov. 29, 1961. He was the third hominid to circle our planet, following cosmonauts Gagarin and Gherman Titov.

In the decades since, many other types of monkeys have flown to space on U.S., Russian, Chinese, French and Iranian spacecraft. NASA continued sending monkeys to orbit all the way into the 1990s, when pressure from animal rights groups, including PETA, pushed the space agency to reexamine the ethics of such research. As a result, NASA pulled out of the Bion program, a series of joint missions with Russia that was intended to study the impact of spaceflight on living organisms.

These animals performed a service to their respective countries that no human could or would have performed, says NASAs history of animals in spaceflight webpage. They gave their lives and/or their service in the name of technological advancement, paving the way for humanitys many forays into space.

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A Brief History of Chimps in Space - Discover Magazine

Starlink satellites: When and how to see them flying over Nottinghamshire tonight – Nottinghamshire Live

Elon Musk's Starlink satellites will be visible once again tonight and throughout the rest of the weekend.

For the past week, a number of the 422 satellites have been visible to the naked eye as they pass over the county in low orbit.

The satellites were designed and delivered into space by the entrepreneur's private spaceflight company, SpaceX, with the aim of eventually providing high-speed internet to remote areas of the world.

SpaceX has so far been granted permission to place up to 12,000 satellites into orbit, and Elon Musk says 800 will be needed for moderate internet connection.

Eventually, there are hopes that up to 40,000 will be operational.

They are currently visible as they are in low orbit at around 550km, and can be seen tonight, travelling in a line commonly referred to as a 'train'.

The Findastarlink website says you may be able to spot satellite train Starlink-5 and Starlink-6 at around 9.45pm for around six minutes.

To see them, the website says you must look up to 10 degrees above the horizon, or up to 87 degrees depending on your position.

The satellite trains will be travelling from east to west.

Findastarlink says they may be visible on a number of occasions during the weekend, including:

Saturday, April 25: Starlink-5 and 6 at 9.45pm

Sunday, April 26: Starlink-3 at 4.50am

On April 22, residents across Nottinghamshire were also able to see SpaceX's Falcon 9 rocket travelling from its launch pad in Florida and into space to deliver a further 60 satellites.

The rocket could be seen in Clifton, Beeston and Bingham trailing across the sky.

A mission to place more satellites into space happens around once a month.

The satellites are visible due to their position and reflective surfaces, which has become a concern for astronomers.

As a result, Elon Musk has now trailed a non-reflective coating on Starlink-2 to dim them in the night sky.

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Starlink satellites: When and how to see them flying over Nottinghamshire tonight - Nottinghamshire Live

UAE’s Mars Hope Probe on its way amid Covid-19 pandemic – Khaleej Times

The UAE Space Agency and the Mohammed Bin Rashid Space Centre (MBRSC) announced the successful completion of the Hope probe's transfer to its launch site at the space station on Tanegashima Island in Japan, despite the Covid-19 pandemic challenges presented.

Positive message

Dr. Ahmed bin Abdullah Hamid Belhoul Al Falasi, Minister of State for Higher Education and Advanced Skills and Chairman of the UAE Space Agency confirmed that with the successful completion of the transfer of the Hope probe from Dubai to Japan, the UAE is sending a positive message to the world by moving forward with the Emirates Mars Mission, as planned previously, despite the challenges resulting from the global coronavirus pandemic.

He added: "We would like to take this opportunity to extend our highest gratitude and appreciation to the wise leadership of the UAE for their continuous and unlimited support on this project to explore Mars and the national team of young women and men dedicated to this project."

"Nothing is Impossible", in word and in action

Sara Al Amiri, Minister of State for Advanced Sciences, Deputy Project Manager of EMM, pointed out that the Emirates Mars Mission is part of the UAE's accelerated developmental journey to further establish itself as a leader in space science and exploration.

She added: "Today, we must celebrate the scientific achievement of our engineers, scientists and technicians. This milestone will become an integral part of the UAE's history that we collectively take pride in. This project will become the largest scientific addition to the Arab World's notable achievements in the space and sciences industry."

She extended her appreciation to the UAE Ministry of Foreign Affairs and International Cooperation, the National Emergency Crisis and Disaster Management Authority, UAE General Civil Aviation Authority, Dubai Police, the UAE embassy in Japan, and Akihiko Nakajima, the Japanese Ambassador to the UAE, in facilitating the process of transferring the Probe from Dubai to Japan.

Specific Space Mission

Omran Sharaf, Project Manager of the Emirates Mars Mission Project, stressed that the project represents a great challenge since the day the UAE announced its launch. Since then, the Emirati team have cultivated a wealth of knowledge and experiences.

He pointed out that the successful transfer of the probe to its launch site on Tanegashima Island in Japan is done according to plan and at the highest levels of accuracy, which reflects the keenness of the team to complete the first project of its kind in the UAE and the region to achieve the vision of the UAE's leadership.

He added that the ongoing support and motivation received from the UAE's leadership and the great cooperation from many government agencies contributed to achieving this milestone, which comes despite the challenges posed by the novel COVID-19. He concluded that after the arrival of the Hope probe in Japan, the team will begin preparing for the launch that will take place this July.

Stages of The Probe transport

The journey of moving the Hope probe from Dubai to the launch site on Tanegashima Island in Japan went through three major phases. It required the activation of specific scientific procedures and the provision of integrated logistical conditions to ensure the completion of the process of the probe in an optimal manner.

The first phase

The first stage included the transportation of the probe from the Mohammed Bin Rashid Space Center to the Al Maktoum International Airport in Dubai, which lasted 12 hours, from 8 am to 8 pm. It included the preparation and loading of the shipping container specially designed for the probe, and rehabilitating it with all the required equipment to be as a clean mini-mobile room that maintains the specified temperature and humidity, and works on using nitrogen to disinfect the probe and sensitive scientific devices from any dust particles in the air.

This was followed by loading the mechanical ground support equipment represented by the probe- supporting devices to help in the process of moving it, and electronic support equipment to help monitor the state of the probe during the flight in addition to its use in preparations for launch. Then, it was transported in a special freight container on a truck carrying the probe at a slow pace and at a specified speed to reduce the percentage of vibrations, all the way to equipping the container at the airport and loading it on the plane.

The second phase

The second phase extended from Al Maktoum International Airport in Dubai to Nagoya Airport in Japan. It included loading the probe and ground support equipment to the giant Antonov 124 logistical transport plane intended for the shipment of mega equipment, which is the largest cargo plane in the world, and continued to Japan for 11 hours. The team also monitored the intensity of the air bumps where severe vibrations would affect the structure of the probe. The team accompanying the probe delivered it to the team in Japan upon arrival at Nagoya Airport.

The third phase

As for the third stage, it extended from Nagoya Airport to the launch site on Tanegashima Island, and included carefully landing the probe from the plane, examining the probe and ensuring its safety, then transporting the probe by land from Nagoya Airport to the port of Shimama, and finally, moving it by sea from the port of Shimama to Tanegashima Island. After arriving to the port on the island, the team at the launch site worked to unload and check the probe before starting to prepare for the launch.

The supervising team

The team overseeing the transport operations included Omran Sharaf, Emirates Mars Mission project manager, Suhail Al Muhairi, Deputy Project Manager from the Probe Development Team, Khulood Al Harmoudi, Deputy Project Director from the Quality and Safety Assurance Team, and Mohsen Al Awadi, responsible for the transportation of the probe in the Probe Development Team, and Omar Al-Shehhi from the Probe Development Team, Leader of the transportation team from Japan Airport to Tanegashima Island.

Global best practices

In light of the challenges posed by COVID-19 during the transfer of the Hope probe from the Mohammed Bin Rashid Space Center to Al Maktoum International Airport to Japan and then to the launch station - the best global health procedures were followed in order to preserve the health and safety of the team, as well as the team accompanying the probe on its flight to Japan. In addition, there was a third team that traveled early and underwent quarantine procedures in Japan to be able to receive the probe upon arrival, to oversee its transportation to the launch station into space.

The Hope probe is a national project that translates the vision of the United Arab Emirates' leadership to build an Emirati space program that reflects the nation's commitment to strengthening the frameworks of international cooperation and partnership with a view to finding solutions to global challenges for the good of humanity.

It is planned that the Hope probe's mission to Mars will start in mid-July 2020 from the Tanegashima Space Center using the Mitsubishi Heavy Industries (MHI H2A) platform and is expected to reach the Red Planet's orbit in the first quarter (February) of the year 2021.

The Hope probe, the first Arab project to explore other planets, carries a message of hope for all peoples of the region, in a way that contributes to reviving the rich history of Arab and Islamic achievements in all sciences. The Hope probe embodies the aspirations of the UAE, and its leadership's continuous pursuit of challenging and overcoming the impossible and consolidating this trend as a firm value in the identity of the state and the culture of its people. The Emirates Mars Mission is also an Emirati contribution to shaping and making a promising future for humanity.

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UAE's Mars Hope Probe on its way amid Covid-19 pandemic - Khaleej Times

Google’s Head of Quantum Computing Hardware Resigns – WIRED

In late October 2019, Google CEO Sundar Pichai likened the latest result from the companys quantum computing hardware lab in Santa Barbara, California, to the Wright brothers first flight.

One of the labs prototype processors had achieved quantum supremacyevocative jargon for the moment a quantum computer harnesses quantum mechanics to do something seemingly impossible for a conventional computer. In a blog post, Pichai said the milestone affirmed his belief that quantum computers might one day tackle problems like climate change, and the CEO also name-checked John Martinis, who had established Googles quantum hardware group in 2014.

Heres what Pichai didnt mention: Soon after the team had first got its quantum supremacy experiment working a few months earlier, Martinis says, he had been reassigned from a leadership position to an advisory one. Martinis tells WIRED that the change led to disagreements with Hartmut Neven, the longtime leader of Googles quantum project.

Martinis resigned from Google early this month. Since my professional goal is for someone to build a quantum computer, I think my resignation is the best course of action for everyone, he adds.

A Google spokesman did not dispute this account, and says that the company is grateful for Martinis contributions and that Neven continues to head the companys quantum project. Parent company Alphabet has a second, smaller, quantum computing group at its X Labs research unit. Martinis retains his position as a professor at the UC Santa Barbara, which he held throughout his tenure at Google, and says he will continue to work on quantum computing.

Googles quantum computing project was founded by Neven, who pioneered Googles image search technology, in 2006, and initially focused on software. To start, the small group accessed quantum hardware from Canadian startup D-Wave Systems, including in collaboration with NASA.

Everything you ever wanted to know about qubits, superpositioning, and spooky action at a distance.

The project took on greater scale and ambition when Martinis joined in 2014 to establish Googles quantum hardware lab in Santa Barbara, bringing along several members of his university research group. His nearby lab at UC Santa Barbara had produced some of the most prominent work in the field over the past 20 years, helping to demonstrate the potential of using superconducting circuits to build qubits, the building blocks of quantum computers.

Qubits are analogous to the bits of a conventional computer, but in addition to representing 1s and 0s, they can use quantum mechanical effects to attain a third state, dubbed a superposition, something like a combination of both. Qubits in superposition can work through some very complex problems, such as modeling the interactions of atoms and molecules, much more efficiently than conventional computer hardware.

How useful that is depends on the number and reliability of qubits in your quantum computing processor. So far the best demonstrations have used only tens of qubits, a far cry from the hundreds or thousands of high quality qubits experts believe will be needed to do useful work in chemistry or other fields. Googles supremacy experiment used 53 qubits working together. They took minutes to crunch through a carefully chosen math problem the company calculated would take a supercomputer on the order of 10,000 years, but does not have a practical application.

Martinis leaves Google as the company and rivals that are working on quantum computing face crucial questions about the technologys path. Amazon, IBM, and Microsoft, as well as Google offer their prototype technology to companies such as Daimler and JP Morgan so they can run experiments. But those processors are not large enough to work on practical problems, and it is not clear how quickly they can be scaled up.

When WIRED visited Googles quantum hardware lab in Santa Barbara last fall, Martinis responded optimistically when asked if his hardware team could see a path to making the technology practical. I feel we know how to scale up to hundreds and maybe thousands of qubits, he said at the time. Google will now have to do it without him.

More Great WIRED Stories

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Google's Head of Quantum Computing Hardware Resigns - WIRED

Wiring the quantum computer of the future – Space Daily

Quantum computing is increasingly becoming the focus of scientists in fields such as physics and chemistry, and industrialists in the pharmaceutical, airplane, and automobile industries. Globally, research labs at companies like Google and IBM are spending extensive resources on improving quantum computers, and with good reason.

Quantum computers use the fundamentals of quantum mechanics to process significantly greater amounts of information much faster than classical computers. It is expected that when error-corrected and fault-tolerant quantum computation is achieved, scientific and technological advancement will occur at an unprecedented scale.

But, building quantum computers for large-scale computation is proving to be a challenge in terms of their architecture. The basic units of a quantum computer are the "quantum bits" or "qubits." These are typically atoms, ions, photons, subatomic particles such as electrons, or even larger elements that simultaneously exist in multiple states, making it possible to obtain several potential outcomes rapidly for large volumes of data. The theoretical requirement for quantum computers is that these are arranged in two-dimensional (2D) arrays, where each qubit is both coupled with its nearest neighbor and connected to the necessary external control lines and devices.

When the number of qubits in an array is increased, it becomes difficult to reach qubits in the interior of the array from the edge. The need to solve this problem has so far resulted in complex three-dimensional (3D) wiring systems across multiple planes in which many wires intersect, making their construction a significant engineering challenge.

A group of scientists from Tokyo University of Science, Japan, RIKEN Centre for Emergent Matter Science, Japan, and University of Technology, Sydney, led by Prof Jaw-Shen Tsai, proposes a unique solution to this qubit accessibility problem by modifying the architecture of the qubit array. "Here, we solve this problem and present a modified superconducting micro-architecture that does not require any 3D external line technology and reverts to a completely planar design," they say. This study has been published in the New Journal of Physics.The scientists began with a qubit square lattice array and stretched out each column in the 2D plane. They then folded each successive column on top of each other, forming a dual one-dimensional array called a "bi-linear" array. This put all qubits on the edge and simplified the arrangement of the required wiring system. The system is also completely in 2D.

In this new architecture, some of the inter-qubit wiring--each qubit is also connected to all adjacent qubits in an array--does overlap, but because these are the only overlaps in the wiring, simple local 3D systems such as airbridges at the point of overlap are enough and the system overall remains in 2D. As you can imagine, this simplifies its construction considerably.

The scientists evaluated the feasibility of this new arrangement through numerical and experimental evaluation in which they tested how much of a signal was retained before and after it passed through an airbridge. Results of both evaluations showed that it is possible to build and run this system using existing technology and without any 3D arrangement.

The scientists' experiments also showed them that their architecture solves several problems that plague the 3D structures: they are difficult to construct, there is crosstalk or signal interference between waves transmitted across two wires, and the fragile quantum states of the qubits can degrade. The novel pseudo-2D design reduces the number of times wires cross each other, thereby reducing the crosstalk and consequently increasing the efficiency of the system.

At a time when large labs worldwide are attempting to find ways to build large-scale fault-tolerant quantum computers, the findings of this exciting new study indicate that such computers can be built using existing 2D integrated circuit technology. "The quantum computer is an information device expected to far exceed the capabilities of modern computers," Prof Tsai states. The research journey in this direction has only begun with this study, and Prof Tsai concludes by saying, "We are planning to construct a small-scale circuit to further examine and explore the possibility."

Research paper

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Wiring the quantum computer of the future - Space Daily

Hot Qubits are HereAnd They’re Propelling the Future of Quantum Computing – News – All About Circuits

Within the past month, researchers around the world are making landmark discoveries about quantum bits, or qubits.The biggest environmental factor that stands in the way ofquantum computers entering commercial spaces is that qubits have a low tolerance to temperature; previously, they could only operate at temperatures close to absolute zero.

This is because a qubit storing a quantum state will collapse if "observed," or isaffected by external factors. For example, a photon hitting a qubit will cause it to collapse and will offset a thermal vibration from a nearby particle.

This is why many scientists are working on creating quantum systems that can operate above these low temperatures. Such an effort will get them out of the laboratory and into the commercial field.In this article, we will look at recent scientific research that proves that"hot qubits," even up to room temperature, are now a reality.

A team of researchers from UNSW Sydney has worked to solve the problem of absolute-zero qubit requirements and may have a solution that works on regular silicon. The test device is a proof-of-concept quantum processor unit cell that can operate at temperatures up to 1.5 kelvin. While this may still sound extremely cold, it is still 15 times greater than those produced by others, including Google and IBM. The results of this research were published in Nature.

The researchers created quantum chips that can operate in tandem with conventional silicon chips. When these two chips are set beside each other in low temperatures, they can control the read and write operations of quantum calculations.

To prove the viability of the design, another team on the other side of the globe in the Netherlands used the same technology to create a hot qubit, which also functioned as expected. The design utilizes two qubits that are confined in a pair of quantum dotsall of which are embedded in silicon.

What also makes this research groundbreaking is that other laboratories can replicate this temperature featwith a few thousand dollars of equipment. This means that even small companies can accesstheir own quantum computer.

The fact that this technology can be built using silicon technology means that it can readily be integrated into existingelectronic designs, feeding data into such systems and interpreting the results.

On the same day that the Sydney researchers published their findings on "hot qubits," Intel also published its own research on hot qubits. Intel, one of the world's leading suppliers of processorand memory technology, teamed up with QuTech to produce a "hot qubit" that can operate at temperatures up to 1.1 kelvin. While not as high as the UNSW, the 1.1-kelvin mark is still an achievable temperature using low-cost equipment (when compared to absolute zero). The researchers for the project also published their findings in Nature.

The qubit designed by the team has a fidelity of 99.3%that is, ahigh-quality qubit with a large degree of quantum separation between states. However, the performance of the spin qubits is minimally affected when temperatures go to 1.25 kelvin.

The design, which works with standard silicon technology, demonstrates single-qubit control via the use of electron spin resonance and readout using the Pauli spin blockage method. The demonstrated device also shows individual coherent control of two qubits and turnability from 0.5 MHz to 18 MHz.

Because it can be integrated onto standard silicon technology, the qubit developed by Intel and QuTech can incorporate control circuitry and quantum processors onto a single device.

While the Sydney and Intel teams have created qubits that operate at temperatures higher than absolute zero, a team from Russia together with colleagues from Sweden, Hungary, and the USA, have developed a method for manufacturing room-temperature qubits.

According to the research paper in Nature Communications, qubits have been proven to operate at room temperatures when integrated into point defects in diamonds, achieved by substituting a carbon atom with a nitrogen atom. However, producing such diamonds can be an expensive manufacturing task. This is where the Russian lead team has stepped up.

The team determined thatsilicon carbide wasa suitable substitute for diamondwhen a laser was used to hit a defect in the crystal. When bombarded with photons, the defect luminescences and the resultant spectroscopy showsix distinctive peaks (PL1 to PL6).

It is these peaks that show SiC'sability to be used as a qubit and therefore what structure is needed. Thus, their method for creating room-temperature qubits would use a chemical vapor deposition of SiCa low-cost alternative to diamond.

The discovery of SiC's usein quantum qubits has already lead to SiC-basedhigh-accuracy magnetometers, biosensors, and quantum internet technologies.

A hot qubit that can operate on a piece of silicon alongside existingcomponents would revolutionize the computing industry.

While mainstream quantum computers are still a decade or two away, these advancements in qubit technology show how quantum technology will not be stuck in laboratories indefinitely and will eventually be open to the public. How will quantum technologies affect electronic engineers remains unknown since we do not know how far quantum integration will go.

Will they be integrated into microcontrollers? Will devices need to deploy quantum security? Only time will tell.

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Hot Qubits are HereAnd They're Propelling the Future of Quantum Computing - News - All About Circuits

Wiring the Quantum Computer of the Future: aNovel Simple Build with Existing Technology – Analytics Insight

Wiring the Quantum Computer of the Future: a Novel Simple Build with Existing Technology

The basic units of a quantum computer can be rearranged in 2D to solve typical design and operation challenges

Efficient quantum computing is expected to enable advancements that are impossible with classical computers. Scientists from Japan and Sydney have collaborated and proposed a novel two-dimensional design that can be constructed using existing integrated circuit technology. This design solves typical problems facing the current three-dimensional packaging for scaled-up quantum computers, bringing the future one step closer.

Quantum computing is increasingly becoming the focus of scientists in fields such as physics and chemistry,and industrialists in the pharmaceutical, airplane, and automobile industries. Globally, research labs at companies like Google and IBM are spending extensive resources on improving quantum computers, and with good reason. Quantum computers use the fundamentals of quantum mechanics to process significantly greater amounts of information much faster than classical computers. It is expected that when error-corrected and fault-tolerant quantum computation is achieved, scientific and technological advancement will occur at an unprecedented scale.

But, building quantum computers for large-scale computation is proving to be a challenge in terms of their architecture. The basic units of a quantum computer are the quantum bits or qubits. These are typically atoms, ions, photons, subatomic particles such as electrons,or even larger elements that simultaneously exist in multiple states, making it possible to obtain several potential outcomes rapidly for large volumes of data. The theoretical requirement for quantum computers is that these are arranged in two-dimensional (2D) arrays, where each qubit is both coupled with its nearest neighbor and connected to the necessary external control lines and devices. When the number of qubits in an array is increased, it becomes difficult to reach qubits in the interior of the array from the edge. The need to solve this problem has so far resulted in complex three-dimensional (3D) wiring systems across multiple planes in which many wires intersect,making their construction a significant engineering challenge.

A group of scientists from Tokyo University of Science, Japan, RIKEN Centre for Emergent Matter Science, Japan, and University of Technology, Sydney, led by Prof Jaw-Shen Tsai, proposes a unique solution to this qubit accessibility problem by modifying the architecture of the qubit array. Here, we solve this problem and present a modified superconducting micro-architecture that does not require any 3D external line technology and reverts to a completely planar design, they say. This study has been published in the New Journal of Physics.

The scientists began with a qubit square lattice array and stretched out each column in the 2D plane. They then folded each successive column on top of each other, forming a dual one-dimensional array called a bi-linear array. This put all qubits on the edge and simplified the arrangement of the required wiring system.The system is also completely in 2D. In this new architecture, some of the inter-qubit wiringeach qubit is also connected to all adjacent qubits in an arraydoes overlap, but because these are the only overlaps in the wiring, simple local 3D systems such as airbridges at the point of overlap are enough and the system overall remains in 2D. As you can imagine, this simplifies its construction considerably.

The scientists evaluated the feasibility of this new arrangement through numerical and experimental evaluation in which they tested how much of a signal was retained before and after it passed through an airbridge. Results of both evaluations showed that it is possible to build and run this system using existing technology and without any 3D arrangement.

The scientists experiments also showed them that their architecture solves several problems that plague the 3D structures: they are difficult to construct, there is crosstalk or signal interference between waves transmitted across two wires, and the fragile quantum states of the qubits can degrade. The novel pseudo-2D design reduces the number of times wires cross each other,thereby reducing the crosstalk and consequently increasing the efficiency of the system.

At a time when large labs worldwide are attempting to find ways to buildlarge-scale fault-tolerant quantum computers, the findingsof this exciting new study indicate that such computers can be built using existing 2D integrated circuit technology. The quantum computer is an information device expected to far exceed the capabilities of modern computers, Prof Tsai states.The research journey in this direction has only begun with this study, and Prof Tsai concludes by saying, We are planning to construct a small-scale circuit to further examine and explore the possibility.

###

ReferenceTitle of original paper: Pseudo-2D superconducting quantum computing circuit for the surface code: the proposal and preliminary tests

Journal:New Journal of Physics

DOI:10.1088/1367-2630/ab7d7d

Tokyo University of Science (TUS) is a well-known and respected university, and the largest science-specialized private research university in Japan, with four campuses in central Tokyo and its suburbs and in Hokkaido. Established in 1881, the university has continually contributed to Japans development in science through inculcating the love for science in researchers, technicians, and educators.

With a mission of Creating science and technology for the harmonious development of nature, human beings, and society, TUS has undertaken a wide range of research from basic to applied science. TUS has embraced a multidisciplinary approach to research and undertaken intensive study in some of todays most vital fields. TUS is a meritocracy where the best in science is recognized and nurtured. It is the only private university in Japan that has produced a Nobel Prize winner and the only private university in Asia to produce Nobel Prize winners within the natural sciences field.

Website:https://www.tus.ac.jp/en/mediarelations/

Dr Jaw-Shen Tsai is currently a Professor at the Tokyo University of Science, Japan. He began research in Physics in 1975 and continues to hold interest in areas such as superconductivity, the Josephson effect, quantum physics, coherence, qubits, and artificial atoms. He has 160+ research publications to his credit and serves as the lead author in this paper. He has also won several awards, including Japans Medal of Honor, the Purple Ribbon Award.

Professor Jaw-Shen Tsai

Department of Physics

Tokyo University of Science

Tsutomu Shimizu

Public Relations Divisions

Tokyo University of Science

Email: mediaoffice@admin.tus.ac.jp

Website: https://www.tus.ac.jp/en/mediarelations/

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Wiring the Quantum Computer of the Future: aNovel Simple Build with Existing Technology - Analytics Insight

Google’s top quantum computing brain may or may not have quit – Fudzilla

We will know when someone opens his office door

John Martinis, who had established Googles quantum hardware group in 2014, has cleaned out his office, put the cats out and left the building.

Martinis says a few months after he got Googles now legendary quantum computing experiment to go he was reassigned from a leadership position to an advisory one.

Martinis told Wired that the change led to disagreements with Hartmut Neven, the longtime leader of Googles quantum project.

Martinis said he had to go because his professional goal is for someone to build a quantum computer.

Google has not disputed this account, and says that the company is grateful for Martinis contributions and that Neven continues to head the companys quantum project.

Martinis retains his position as a professor at the UC Santa Barbara, which he held throughout his tenure at Google, and says he will continue to work on quantum computing.

To be fair, Googles quantum computing project was founded by Neven, who pioneered Googles image search technology, and got enough cats together.

The project took on greater scale and ambition when Martinis joined in 2014 to establish Googles quantum hardware lab in Santa Barbara, bringing along several members of his university research group. His nearby lab at UC Santa Barbara had produced some of the most prominent work in the field over the past 20 years, helping to demonstrate the potential of using superconducting circuits to build qubits, the building blocks of quantum computers.

Googles ground-breaking supremacy experiment used 53 qubits working together. They took minutes to crunch through a carefully chosen math problem the company calculated would take a supercomputer 10,000 years to work out. It still does not have a practical use, and the cats were said to be bored with the whole thing.

Read more from the original source:

Google's top quantum computing brain may or may not have quit - Fudzilla

Quantum computing and blockchain, is this our bold future? – Irish Tech News

By Theodora Lau and Bradley Leimer, with some interesting musings on Quantum computing and blockchain

Everything that happens is connected to everything else.

There are then, moments in time, that act as trigger points for a series of interconnected events that result in significant human progress, whether through a new technology or a period of transformative societal change. This rejects both the conventional linear and teleological views of history those focusing on the procession toward the result rather than threaded causation of historical progression and looks for sparks of connected ingenuity that further develops the thrust of human advancement.

And so begins the heralded documentary series Connections created by science historian James Burke. Throughout the series, Burke demonstrates why we cannot view the development of any portion of our contemporary world in isolation. He asserts that advances in the modern world are the result of a series of interconnected events and moments of progress, whether that be an invention of necessity or a curious progression of culture from the seemingly disjointed motivations of humans, all of whom had no concept or perhaps little intention of the final result of their activities.

Human progress flies blind until everything becomes very transparent. This interaction of these isolated events drives our history, our innovation, our progress.

Evolution feels slow until a sudden series of tremors makes it all feel far too real.

This is how we often feel in our very modern world.

We are lost in the world of the dim light of glass, until we are awoken from our slumber of scrolling by something personally transformative to our lives.

The promise of technology is that it will improve our society, or at least make our lives more efficient, freeing up our time to pursue some of lifes pleasures, whether that be leisure like reading and writing and expressing ourselves through art, or toward more time working to solve lifes more pressing problems through the output of our work.

Certain technology especially recent improvements in computing, from faster processors, cloud storage, and advanced quantum computing combine with others to create opportunities to alleviate significant challenges like climate change, water scarcity, and global poverty. Others, like blockchain (distributed ledger technology), hold the promise of reigning in the issue around defining the source of truth within certain forms of data, some of which are life defining.

The creation of trust through technology is an interesting thread to pull. From the source of goods and services traveling through our supply chain to the authenticity of our elections, new technologies hold the potential to rapidly improve the future and the advancement of humanity. Closer to our focus on financial services, quantum computing addresses market risk, credit risk, digital annealing, dynamic portfolio selection, ATM replenishment and more. Blockchain technology has focused on AML/KYC, trade finance, remittance, central bank backed digital currency, security tokens, and has the capacity for continued innovation in the financial space.

What if these two elemental forces were viewed together? What if we channeled our inner James Burke, and looked for connections between these two transformative technologies? This is exactly what our partner Arunkumar Krishnakumar did in his new book Quantum Computing and Blockchain in Business: Exploring the applications, challenges and collision of quantum computing and blockchain. Though a seemingly impenetrable title, we can more than assure you its worth a read to understand where the future is headed.

Aruns book dissects the genesis of these twin technologies and how they intersect. Similar to how James Burke rejects the threading of historical events, the first time author writes about the impacts of these technologies on healthcare and pharmaceutical industries, governance, elections, smart cities, the environment, chemistry, logistics, and much more. We are left with the question of whether there is anything that a blockchain powered by quantum computing cannot do? Fortunately the book answers that as well.

As the book discusses in the last few chapters as viewed through Aruns critical lens there are also darker sides to these technologies where they could threaten nation states, launch a new cyber arms race he details the dangers of these technologies and how they might impact every life. He also concludes with some blue sky ideas both dreams and realized aspirations derived from the power of these complementary tools of knowledge and how writing this book provided him with a sense of hope for the future of humanity, in the age of rapidly developing and highly interdependent technologies.

Perhaps it is fitting then, that Arun uses a quote from the opening of the Charles Dickens novel, A Tale of Two Cities, to tell his story. The conflict between good and evil, between light and darkness, can be won. Technology is just another means to this end.

There is a lot of hype, but somewhere amid all the hype, there is still hope.

How we write the next chapter and the future of the human race is entirely up to us.

The sky is indeed blue.

We must never lose hope.

Listen in via iTunes and Spotify as Theo and Bradley of Unconventional Ventures have a conversation with our partner and co-host Arunkumar Krishnakumar, as he talks about his new book Quantum Computing and Blockchain in Business: Exploring the applications, challenges and collision of quantum computing and blockchain, and how he is finding solace in this summer of COVID-19. Listen to this, and every episode of One Vision, on your favorite player.

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Quantum computing and blockchain, is this our bold future? - Irish Tech News