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Fujifilm Showcases Artificial Intelligence Initiative And Advances AI – AiThority

November 23, 2019 | Author: admin

Fujifilm has a long and proven reputation as a trailblazer in medical imaging, and is committed to continuing to innovate and drive positive change in artificial intelligence, said Takuya Shimomura,Chief Technology Officer and Executive Director, FUJIFILM Medical Systems U.S.A., Inc. At RSNA 2019, we look forward to sharing the AI insights and advances weve made by working closely with clinical and research partners for several years. Ultimately, the long-term goal of our AI initiative is to help providers make better decisions that improve patient lives.

Underthe REiLI brand, Fujifilm is developing AI technologies that strongly support diagnostic imaging workflow, leveraging the combination of its deep learning innovations and distinct image processing heritage. Applications currently in development include, but are not limited to: Region Recognition, an AI technology that helps to accurately recognize and consistently extract organ regions, regardless of deviations in shape, presence or absence of disease, and imaging conditions; Computer Aided Detection, an AI technology to reduce the time of image interpretation and support radiologists clinical decision making; Workflow Support, using AI technology to realize optimal study prioritization, alert communications of AI findings, and report population automation.

Read More: Merkle Releases Its Q3 2019 Digital Marketing Report

Our latest Synapse 7x brings diagnostic radiology, mammography and cardiology together on the server-side, enabling immediate interaction with these modality imaging data sets through a single AI-enabled platform, saidBill Lacy, Vice President, Medical Informatics, FUJIFILM Medical Systems U.S.A., Inc. Were excited to debut this solution for our US customers at RSNA 2019, showing our commitment to progressing AI technology to empower physicians to make more efficient and impactful care decisions.

At booth #4111, attendees can visit Fujifilms AI Lab. The lab will feature dedicated workstations demonstrating REiLI use cases within Synapse PACS. Attendees can witness first-hand the speedand depth of the integrated workflows achieved by unifying Fujifilms REiLI technology with the companys server-side PACS system. Featured in the AI lab will be Fujifilm developed algorithms, to include CT lung nodule, intracerebral hemorrhage, cerebral infarction MR & CT, spine label and bone temporal subtraction to name a few. In addition to the Fujifilm AI development, the AI lab will showcase its strengths by supporting a multitude of integration points in support of partner vendor and provider developed algorithms. This will include Riverains lung nodule, MaxQs stroke, Lunits Chest & 2D Mammography, LPixels MR Aneurysm, Koios US breast, Aidocs pulmonary embolism and Gleamers bone fracture.

Read More: Education Index Launches The First University Application Prep Platform On Blockchain

Hear from practicing radiologists, and those that support them, on how Artificial Intelligence (AI) is currently impacting their workflows, and what considerations they would recommend for future deployments. Led by Fujifilms Enterprise Imaging experts, this interactive panel will provide unprecedented insights around the real-world use cases of one of todays most anticipated technologies.

Read More: Teradata Unifies IT, Marketing, and Customer Intelligence into Single CDP; Launches Vantage CX

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Fujifilm Showcases Artificial Intelligence Initiative And Advances AI - AiThority

Report to Congress on Artificial Intelligence and National Security – USNI News

November 23, 2019 | Author: admin

The following is the Nov. 21, 2019 Congressional Research Service report, Artificial Intelligence and National Security.

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technologys development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

AI technologies present unique challenges for military integration, particularly because the bulk of AI development is happening in the commercial sector. Although AI is not unique in this regard, the defense acquisition process may need to be adapted for acquiring emerging technologies like AI. In addition, many commercial AI applications must undergo significant modification prior to being functional for the military. A number of cultural issues also challenge AI acquisition, as some commercial AI companies are averse to partnering with DOD due to ethical concerns, and even within the department, there can be resistance to incorporating AI technology into existing weapons systems and processes.

Potential international rivals in the AI market are creating pressure for the United States to compete for innovative military AI applications. China is a leading competitor in this regard, releasing a plan in 2017 to capture the global lead in AI development by 2030. Currently, China is primarily focused on using AI to make faster and more well-informed decisions, as well as on developing a variety of autonomous military vehicles. Russia is also active in military AI development, with a primary focus on robotics.

Although AI has the potential to impart a number of advantages in the military context, it may also introduce distinct challenges. AI technology could, for example, facilitate autonomous operations, lead to more informed military decision making, and increase the speed and scale of military action. However, it may also be unpredictable or vulnerable to unique forms of manipulation. As a result of these factors, analysts hold a broad range of opinions on how influential AI will be in future combat operations. While a small number of analysts believe that the technology will have minimal impact, most believe that AI will have at least an evolutionaryif not revolutionaryeffect.

Military AI development presents a number of potential issues for Congress:

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Artificial Intelligence (AI) in Retail Market worth $15.3 billion by 2025 – Exclusive Report by Meticulous Research – GlobeNewswire

November 23, 2019 | Author: admin

London, Nov. 19, 2019 (GLOBE NEWSWIRE) -- According to a new market research report Artificial Intelligence (AI) in Retail Market by Product (Solution and Services), Application (Predictive Merchandizing, Programmatic Advertising, Market Forecasting, In-store Visual Monitoring and Surveillance, Location-based Marketing), Technology (Machine Learning, Natural Language Processing), Deployment (Cloud, On-premises) and Geography - Global Forecasts to 2025, published by Meticulous Research, the global AI in retail market is expected to grow at a CAGR of 35.9% from 2019 to reach $15.3 billion by 2025.

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Over the past few years, digital technologies are being embedded into core value-generation processes in society and businesses by creating innovation. The growing number of millennials with their inclination towards digital-first approaches is putting organizations under constant pressure to innovate; thus, making artificial intelligence (AI) a top priority for retail businesses. Various well-established retailers are struggling with increasing cost, dissatisfied customers, declining sales and upstart competition. Implementing artificial intelligence in retail creates new opportunities and capabilities for retailers by leveraging new possibilities, fastening processes, and making organizations adaptable to changes in the future. Realizing the fact, retail companies are investing in billions to reap benefits of AI technology and improve profitability of their businesses. Strong participation of industry players in leveraging AI technology is reshaping the technology landscape of the retail industry.

The overall artificial intelligence in the retail market is witnessing a consistent penetration of smartphones & connected devices, advancements in big data for retail sector, rapid adoption of advancement in technology across the retail chain, and increasing adoption of the multi-channel or omnichannel retailing strategy. Furthermore, the efforts from retailers to gain access to more customers, enhance business visibility, and build customer loyalty are also playing a vital role in driving adoption of AI technology in the retail industry. The increasing adoption of AI-powered voice enabled devices owing to their benefits in the form of enhanced user experience and improved productivity are also contributing to the market growth.

The global artificial intelligence market in retail is majorly segmented by product offering, application, learning technology, type, deployment type, and geography. Based on product offering, the global AI in retail market is majorly segmented into solutions and services. The solution segment is categorized into chatbot, customer behavior tracking, customer relationship management (CRM), inventory management, price optimization, recommendation engines, supply chain management, and visual search. The service segment is further segmented into managed services and professional services. Recommendation engine dominates the AI solutions market for the retail industry and it is expected to register a strong growth over the forecast period. The features in terms of enhanced user experiences, better customer engagement, precise recommendations of products, and personalized recommendation is helping recommendation engines to maintain their growth in the global artificial intelligence in retail market.

Based on application, the overall AI in retail market is majorly segmented into predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring & surveillance, and location-based marketing. In-store visual monitoring and surveillance applications are spearheading the growth of the AI market in the retail industry. This segment is expected to register a steady growth over the coming years and continue its dominance during the forecast period. Its benefits in the form of better inventory tracking, customer traffic monitoring, enhanced safety protocols, prevention against shoplifting, outpacing shrink caused by employee theft, vendor fraud, and administrative errors are contributing to the growth of this segment.

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Geographically, the global artificial intelligence in retail market is segmented into five major regions, namely, North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The global AI in retail market is analyzed methodically with respect to major countries in each of the regions with the help of bottom-up approach to arrive at the most precise market estimation. At present, North America holds a dominating position in the global AI in retail market. The region has high technology adoption rate, presence of key players & start-ups, and high penetration of internet. Consequently, North America is expected to retain its dominance throughout the forecast period. However, factors such as rapid growth in consumer spending, presence of young population, government initiatives towards digitization, developing internet and connectivity infrastructure, and growing adoption of AI-based solutions and services among retailers are helping Asia Pacific region to register the fastest growth in the global artificial intelligence in retail market.

The global artificial intelligence (AI) in retail market is consolidated and dominated by few major players namely, Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Salesforce.com, Inc. (U.S.), and BloomReach, Inc. (U.S.) along with several local and regional players.

Browse key industry insights spread across 216 pages with 205 market data tables & 25 figures & charts from the report:https://www.meticulousresearch.com/product/artificial-intelligence-in-retail-market-4979/

Scope of the AI in Retail Market Report:

AI in Retail Market by Product:

AI in Retail Market by Application:

AI in Retail Market by Technology:

AI in Retail Market by End User:

AI in Retail Market by Deployment Mode:

AI in Retail Market by Geography:

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About Meticulous Research

The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze and present the critical market data with great attention to details.

Meticulous Research was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, with the help of its unique research methodologies, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa regions.

With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

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Artificial Intelligence (AI) in Retail Market worth $15.3 billion by 2025 - Exclusive Report by Meticulous Research - GlobeNewswire

With artificial intelligence to a better wood product – Newswise

November 23, 2019 | Author: admin

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Newswise Wood is a natural material that is lightweight and sustainable, with excellent physical properties, which make it an excellent choice for constructing a wide range of products with high quality requirements - for example for musical instruments and sports equipment. Unfortunately, as most natural products, wood has a very uneven material structure that extends over several length scales. Therefore, large safety margins are often required during processing, which limit the efficiency of material utilisation. With the help of science, this drawback could soon be resolved. A key technology for this is artificial intelligence.

Neuronal networks sort out flood of data

Mark Schubert works in the research department "Cellulose & Wood Materials" at Empa. In recent years, he has worked intensively on machine learning, with the goal of optimizing the functionality of wood. Schubert and his team would now like to apply this experience to other areas of wood processing. Every processing company faces the problem of interpreting and making decisions based upon the results of the receiving inspection, which provides data on the density, moisture content, fibre direction and annual ring position of the raw wood. In order to process the wood profitably, the sequential production steps such as separation, sorting and treatment must be well planned and many process parameters set correctly. Finally, the quality control shows whether the settings used were correct and whether the processing of the wood was successful. Employees with a sense of proportion and years of experience can often help to avoid mistakes. However, there is no holistic approach that records and analyzes the raw material and process parameters that would allow product quality to be predicted in real time.

Premiere at start-up company Swiss Wood Solutions

That's about to change. Mark Schubert analyses the flood of data produced during wood processing using deep neural networks and incorporates them into the manufacturing process. In order to implement this innovative approach, Schubert works closely with Swiss Wood Solutions, a start-up established at Empa under the management of CEO Oliver Klusler. The company specialises in the refinement of indigenous woods. Using a special press and know-how built up over many years, spruce or maple wood is turned into a hard, dense special material that can replace tropical ebony. The compacted wood species have already been successfully used for violins, guitars and clarinets, as well as for practice swords of the Asian martial art Budo. Now, the existing trial production is to be significantly expanded. Last week the company ceremoniously put its first own industrial press into operation. Together with Swiss Wood Solutions, Mark Schubert will now expand the range of experience so that high-tech hardwood products can be manufactured with consistent quality despite the growing amount of raw material processed. Mark Schubert, Empa and the Swiss Wood Solutions team will be exhibiting at the Swiss Innovation Forum on 21 November 2019 in the Congress Center Basel.

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With artificial intelligence to a better wood product - Newswise

Google’s new study reveals ‘Artificial Intelligence benefiting journalism’ – Digital Information World

November 23, 2019 | Author: admin

A recently released study explains how News Robots and journalism can benefit from Artificial Intelligence. According to the study, Artificial Intelligence can give reports more time to focus on some new ways to produce and deliver news to viewers. According to a report by a joint effort by Polis from the London School of Economics and Political Science and the Google News Initiative, it states that Artificial Intelligence could enable the journalists to simply leave the ordinary and repetitive tasks to machines and focus on other important tasks. News Organizations and AIAccording to a recent study that surveyed around 71 news organizations available in 32 different countries reveals that there are so many newsrooms already using the AI to find videos and images and also transcribe it into multiple languages.

According to LSE, some news organizations like Finnish Public broadcaster Yle are already using news robots, these news robot journalists available at YLe are producing hundreds of pieces of textual content and illustrations within a week. There are so many examples of journalism and AI already working together including the use of AI to analyze the election results and corporate earnings.

Due to the world moving more towards digitalization, the business model for local newspapers is broken and beyond repair anymore.

In August, The Vindicator, Ohio officially closed the organization making its city without any daily newspaper. According to McClatchy and Google, the Youngstown, Ohio would be the first city to have a new digital news site and the New Youngstown site, Mahoning Matters was launched in October.

One of the third-largest newspaper chains in the U.S. is now facing the financial problems and is one verge of closing down. Last week, McClatchy announced that the U.S. government should grant pension insurer to take over the companys pension plan.

Read next: Now you can read stories in two languages simultaneously in Google News app

Google's new study reveals 'Artificial Intelligence benefiting journalism' - Digital Information World

Quantum Hackathon With $100,000 Prize Receives Overwhelming Response – Yahoo Finance

November 22, 2019 | Author: admin

TORONTO , Nov. 21, 2019 /CNW/ -01 Communique Laboratory Inc. (the "Company") (ONE:TSX-V) issued a world-wide challenge to hackers to crack their quantum-safe encryption in exchange for a $100,000 prize. 10 Days in, the response to the challenge has been overwhelming!

Many contestants from several countries have signed up for the world's first hackathon on post-quantum encryption. With more contestants signing up every day, the Company's President and CEO, Andrew Cheung remains confident. "Come and get it! Our hackathon will show the world that IronCAP encryption stands strong against powerful quantum computers."

Contestants are rushing to sign up online at http://www.ironcap.ca before the contest closes on December 12 , 2019. The result will be announced on or about December 16, 2019 .

IronCAP encryption is the most secure, commercially available Goppa code-based encryption available today. All companies need protection from quantum computers and should start the process immediately. For more information and advice, visit ironcap.ca or contact the Company at sales@ironcap.ca.

About 01 Communique

01 Communique Laboratory Inc. (ONE.V) is focused on cybersecurity with its IronCAP patent-pending cryptographic system designed to protect users and enterprises against the ever-evolving illegitimate and malicious means of gaining access to their data today and in the future with the introduction of powerful quantum computers. Based on improved code-based encryption it is designed to be faster and more secure than current standards. IronCAP operates on conventional computer systems so users are protected today while at the same time being secure enough to safeguard against future attacks coming with the introduction of quantum computers. Along with IronCAP the Company's legacy business provides customers with a suite of secure remote access services and products. These legacy products are protected in the U.S.A. by its patents #6,928,479 / #6,938,076 / #8,234,701; in Canada by its patents #2,309,398 / #2,524,039 and in Japan by its patent #4,875,094. For more information on the Company visit http://www.01com.com or for more information on IronCAP visit http://www.ironcap.ca .

Cautionary Note Regarding Forward-looking Statements.

Certain statements in this news release may constitute "forward-looking" statements which involve known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements of the Company, or industry results, to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. When used in this news release, such statements use such words as "may", "will", "expect", "believe", "plan", "intend", "are confident" and other similar terminology. These statements reflect current expectations regarding future events and operating performance and speak only as of the date of this news release. Forward-looking statements involve significant risks and uncertainties, should not be read as guarantees of future performance or results, and will not necessarily be accurate indications of whether or not such results will be achieved. A number of factors could cause actual results to differ materially from the results discussed in the forward-looking statements, including, but not limited to, the factors discussed under "Risk and Uncertainties" in the Company's Management`s Discussion and Analysis document filed on SEDAR. Although the forward-looking statements contained in this news release are based upon what management of the Company believes are reasonable assumptions, the Company cannot assure investors that actual results will be consistent with these forward looking statements. These forward-looking statements are made as of the date of this news release, and the Company assumes no obligation to update or revise them to reflect new events or circumstances.

Neither TSX Venture Exchange ("TSX-V") nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

SOURCE 01 Communique Laboratory Inc.

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Tech news: The quantum internet is on the way – IOL

November 22, 2019 | Author: admin

Opinion/22 November 2019, 12:30pm/Louis Fourie

On the evening of October 29, 1969 researchers at UCLA called their colleagues at SRI and then started to type LOGIN on their computer. After each letter, SRI confirmed they had received it. However, when they got to the G the host at SRI crashed. Despite the crash with the third letter, the success of sending data was the beginning of the Internet revolution.

Stephanie Wehner, a German physicist and computer scientist at Delft University of Technology, is one of several scientists trying to create a totally new kind of internet called the quantum internet.

The ability to send qubits from one place to another over fibre-optic cables would certainly revolutionise many aspects of science and culture, cyber security and astronomy.

The current internet is a playground for hackers and many vulnerabilities exist despite our best attempts to secure our computers, data and networks. But if quantum physicists succeed in building a quantum network such security weaknesses would be something of the past.

Freed from the limitations of classical networks, the quantum internet could provide a level of privacy and security that is impossible with today's internet.

In a world of cyberthreats, the most famous application of quantum networks is secure communication. Quantum communication is already used for quantum key distribution (QKD) - the creation of secret keys consisting of random strings of zeros and ones. This security will hold even if the attacker has a powerful quantum computer.

In July 2018, Alberto Boaron of the University of Geneva, Switzerland, and colleagues were able to distribute secret keys using QKD over a record distance of more than 400kmof optical fibre at 6.5kilobits per second. But quantum networks will do much more than QKD. The next step is to transfer quantum states directly between nodes.

The security lies in quantum entanglement of two qubits. Entanglement allows for maximum co-ordination even over a distance. To entangle a quantum bit in Cape Town with a quantum bit in Johannesburg, the quantum internet could be used. Once entangled, both systems are described by a single quantum state.

When a measurement is made in both places it would always display the same outcome, even though it was not determined beforehand.

No wonder Albert Einstein called entanglement spooky action at a distance since the measuring or copying of one member of an entangled pair of particles seems to instantaneously change the state of its counterpart, even if the counterpart particle is on the other side of the galaxy. The quantum internet is thus very useful for tasks that require co-ordination over a distance, due to the first property of quantum entanglement.

It may seem logical that maximum co-ordination would make the entanglement easy to share with numerous people.

But due to the second property of entanglement it is not possible. The second property of entanglement is that it is inherently private.

If two qubits are entangled over a distance, nothing else can have any share of the entanglement, thus making the communication very secure. Qubits can also be encoded through the polarisation states of a photon or in the spin states of electrons and atomic nuclei.

Wehner and colleagues published a paper in Science in October 2018 describing a six-stage plan to realise the quantum internet. Each developmental stage will support new algorithms and applications. The first stage is already in progress and entails a demonstration quantum network that will connect four cities in the Netherlands.

The quantum internet will make many new applications possible in the years to come. For example, it will make new kinds of remote computing possible. If a company designed a new proprietary material and wanted to test its complex set of attributes in a simulation, it would be best to use a quantum computer instead of a classical computer due to its superior power and speed.

However, as a result of the high cost of quantum computers, not every company could afford a quantum computer and therefore they will have to use quantum-computing services offered by a number of organisations.

The major concern is, however, the confidentiality of the proprietary material design that may be compromised if the simulation is done by an external organisation.

But if a very simple quantum device is used (eg making one qubit at a time) and the qubits are transferred via a secure quantum network to a powerful quantum computer, the simulation can be done on the powerful quantum computer without the quantum computer or its owner learning what the material design entails.

A fully developed quantum network may still be in the future, due to the challenges of reliable quantum memories and the ability to extend the reach of a quantum link to longer distances.

Quantum nodes need sophisticated quantum logic gates to ensure entanglement is preserved.

However, recent breakthroughs in transmitting, storing and manipulating quantum information are very promising and indicate that a proof-of-principle is immanent.

Prof Fourie is a futurist and technology strategist. [emailprotected]

BUSINESS REPORT

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Device Puts Photons in the Fast Lane – Optics & Photonics News

November 22, 2019 | Author: admin

An artists rendering of the nanoscale opto-electro-mechanical switch recently demonstrated by a team of scientists from ETH Zurich, NIST and Chalmers University. [Image: S. Kelley/NIST]

A lightning-fast electro-opto-mechanical switch developed by a team of researchers in Switzerland, the United States and Sweden reportedly could substantially advance a number of emerging optics- and photonics-based technologies, including autonomous vehicles, neural networks, and optical and quantum computing (Science, doi: 10.1126/science.aay8645).

The new switchoperating at a speed of tens of nanosecondsrelies on an electrostatic, nanometer-scale manipulation of a thin, low-mass gold membrane that forms an air-gap hybrid photonicplasmonic waveguide. The switch is capable of routing light from one silicon-based computer chip to another with low signal loss and at low voltages.

That ability to rapidly re-route light signals, the researchers believe, could have application in autonomous vehicles, for example, because the signals could continuously scan all parts of the roadway measuring distances between other vehicles and pedestrians. For neural networks, powerful light-based circuits could carry more information at speeds much greater than electricity-based circuits, aiding such tasks as pattern recognition and risk management.

The switch exploits the wave nature of incoming light. Electrostatic adjustment of its gold membrane creates light waves that either interfere constructively, aligning and reinforcing each other, or destructively, cresting out of step and canceling each other.

With destructive interference, the research team reports, the switch can redirect light to another chip with low signal loss. Also important, light leaking from the chips silicon waveguide strikes the gold membrane, inducing groups of electrons to oscillate as plasmons. Researchers can manipulate the plasmons over nanoscale distancesmuch shorter than the wavelength of the original lightbefore converting them back into light. This keeps the optical switch extremely compact.

Light travels along a silicon waveguide where electrostatic adjustment of a gold membrane can either block or redirect the light along a parallel waveguide to another chip with low signal loss. Plasmonic effects on the gold membrane mean the light can be manipulated over nanoscale distances, keeping chip size extremely compact. [Image: S. Kelly/NIST]

The main advantage of our switch is the ability to induce a pi-phase shift at low driving voltage and small device size, says project leader Christian Haffner of the National Institute of Standards and Technology and the University of Maryland, USA, and ETH Zurich, Switzerland. Also, I am excited that we can do this with plasmonic elements without suffering from high optical losses that are normally inherent to this technology.

Scientists once thought a plasmonic system would attenuate light signals because photons would penetrate the interior of the gold membrane where electrons would absorb much of the light energy. The compactness of the research teams device, with a design that ensures few photons penetrate the membrane, has meant a light-signal loss of just 2.5% compared with 60% for previous optical switches. This puts the new switch within reach of commercial application, the researchers say.

Whats more, the international team hopes to make the device even smaller by shortening the distance between the gold membrane and the silicon disk, further reducing signal loss.

For analog computing, the ability of the new opto-mechanical switch to route high-speed optical data streams might find more immediate use in supercomputers, Haffner says. But it provides great potential for optical computing including one day optical quantum computing.

Current optical quantum technologiesincluding the vision of realizing an optical quantum computerare in need of classical phase-shifting elements that are compact and feature low energy consumption, Haffner says. Prior-art optical switches, he notes, suffer from large energy consumption, are bulky and the heat they produce can reduce the purity of the quantum state.

Implementing our switches in these applications could overcome these limitations enabling quantum circuits of larger complexity, Haffner says.

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Device Puts Photons in the Fast Lane - Optics & Photonics News

Cloud Servers Market Analysis, Trends and Forecast to 2025|Dell, HP, IBM – Follow Real News

November 22, 2019 | Author: admin

Electronics & Semiconductor

QY Research has recently published a new report, titledGlobal Cloud Servers Forecast & Opportunities 2019. The report has been put together using primary and secondary research methodologies, which offer an accurate and precise understanding of the Cloud Servers market. Analysts have used a top-down and bottom-up approach to evaluate the segments and provide a fair assessment of their impact on the global Cloud Servers market. The report offers an overview of the market, which briefly describes the market condition and the leading segments. It also mentions the top players present in the global Cloud Servers market.

The research report on the global Cloud Servers market includes a SWOT analysis and Porters five forces analysis, which help in providing the precise trajectory of the market. These market measurement tools help in identifying drivers, restraints, weaknesses, Cloud Servers market opportunities, and threats. The research report offers global market figures as well as figures for regional markets and segments therein.

The Cloud Servers research report opens with an executive summary that gives a brief overview of the market. It mentions the leading segments and the players that are expected to shape the market in the coming years. The executive summary offers a glance of the market without any bias. In the succeeding chapters, the research report on the global Cloud Servers market focuses on the drivers. It explains the changing demographic that is expected to impact demand and supply in Cloud Servers market. It delves into the regulatory reforms that are projected to shift perspectives. Additionally, researchers have discussed the very source of the demand to analyze its nature.

Get PDF template of this report:https://www.qyresearch.com/sample-form/form/1032445/global-cloud-servers-forecast-amp-opportunities

The report also sheds light on the restraints present in the global Cloud Servers market. Analysts have discussed the details highlighting the factors that are expected to hamper the growth of the market in the coming years. Evolving lifestyles, taxation policies, and purchasing powers of various economies have scrutinized in great detail. The report presents fair points about how these restraints can be turned into opportunities if assessed properly.

Cloud Servers Market Competitive Landscape

The last chapter of the research report on the global Cloud Servers market focuses on the key players and the competitive landscape present in the market. The report includes a list of strategic initiatives taken by the companies in recent years along with the ones that are expected to happen in the foreseeable future. Researchers have made a note of the financial outlook of these companies, their research and development activities, and their expansion plans for the near future. The research report on the global Cloud Servers market is a sincere attempt at giving the readers a comprehensive view of the market to the interested readers.

Cloud Servers Market Leading Players

Dell, HP, IBM, Oracle, Cisco, Fujitsu, Hitachi, NEC

Cloud Servers Market Segmentation

Through the next chapters, the research report reveals the development of the Cloud Servers market segments. Analysts have segmented the market on the basis of product, application, end-users, and geography. Each segment of the global Cloud Servers market has been studied with in-depth insight. Analysts have evaluated the changing nature of the market segments, growing investments in manufacturing activities, and product innovation that are likely to impact them. In terms of geography, the report studies the changing political environment, social upliftment, and other government initiatives that are expected to contribute to the regional markets.

Cloud Servers Segmentation by Product

Public Cloud, Private Cloud, Hybrid Cloud, Community Cloud

Cloud Servers Segmentation by Application

Application I, Application II

Questions answered in the report

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QYResearch always pursuits high product quality with the belief that quality is the soul of business. Through years of effort and supports from the huge number of customer supports, QYResearch consulting group has accumulated creative design methods on many high-quality markets investigation and research team with rich experience. Today, QYResearch has become a brand of quality assurance in the consulting industry.

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Packet Takes Its ‘Go Anywhere’ Bare Metal Cloud to the Edge – Data Center Frontier

November 22, 2019 | Author: admin

Packet can dep[oy network-dense racks like this one. But it sees future growth in streamlined infrastructure for edge computing. (Photo: Packet)

Bare metal cloud server specialist Packet has emerged as an early adopter of edge computing capacity. The developer-centric company is building a go anywhere cloud model, and expects to deploy its gear in hundreds or even thousands of locations.

We believe that edge computing will be radically different than the public cloud and its not because of robot surgery and flying taxis just yet, Packet says. Instead, the edge is being driven by the opportunity to engage in a deep manner with billions of people and trillions of devices in a cost-effective way.

The latest deployment of the Packet platform is at the EdgeConneX data center in Detroit, and will support the Sprint Curiosity IoT platform, which runs on Packets bare metal edge cloud infrastructure.

The goal of edge computing is to process data and services as close to the end user as possible. The trend is driven by the increased use of consumer mobile devices, especially consumption of video and virtual reality content and the growth of sensors as part of the Internet of Things (IoT).

The Sprint Curiosity IoT offering features a dedicated, virtualized network designed to be managed by software. Its based on Sprints Curiosity operating system, which can manage a range of devices across a distributed network.

What makes this deployment special is that were able to activate three key elements at once: bare metal cloud, rich local connectivity, and end-to-end wireless IoT services, said Zachary Smith, the CEO of Packet. Its like an edge computing triple play.

Packet was founded in 2014 to deliver automated infrastructure for developers. Its canvas is bare metal cloud, a term for dedicated servers that can be provisioned with cloud-like ease and speed. Packet says it can deploy bare metal hardware in 8 minutes, providing customers with dedicated boxes on a rapid-deploy model, similar to spinning up virtual server instances on major cloud platforms as opposed to the hours or days to deploy a typical dedicated server.

The company operates 20 data centers around the world, serving 18,000 customers. Smith said Packet deploys tens of thousands of servers per year.

Fast, automated delivery of compute capacity is the future, and Packet is optimized for younger developers.

Zachary Smith, the CEO of Packet.

We think the world is dominated by software, and were focused on the millennial or Gen Z buyer, because theyre definitely going to be the boss in the next 10 years. This generation just doesnt (care about the infrastructure). Our biggest challenge is building an experience that is amazing and that people love.

The (current) delivery model is awful, Smith added. You have to dramatically increase your expectations. These millennials didnt grow up when the Internet didnt work. Its just magic that happens on the other side of the tube. I think thats going to be a challenge for data center operators.

Smith was previously on the leadership team at hosting company Voxel, and founded Packet with his twin brother Jacob (the Chief Marketing Officer for Packet) and Aaron Welch. Its leadership includes veterans of SoftLayer, Puppet and Internap.

Packet has raised $36 million in three funding rounds, with investors including Softbank, Dell Technologies, Samsung, Battery Ventures and Third Point Ventures. Although it has a large customer base, the majority of its revenue comes from its top 100 customers, which are primarily enterprises. This week the company added Gary Green, who has enterprise software experience at VMware and Synopsys, as Chief Revenue Officer.

Packets largest customer is Sprint, and the new deployment with EdgeConneX is designed to benefit Detroits growing autonomous vehicle and manufacturing sectors.

EdgeConneX deployed one of the earliest edge networks. Since 2013 the company has built 40 data centers, extending large-scale content distribution to markets across the U.S., Europe and South America.The companys data centers are designed as lights out unmanned facilities, using sophisticated monitoring and remote hands for maintenance. EdgeConneX also operates a network of more than 3,000 wireless stations, which provides the company with deep insights on data traffic and where it needs to go.

Given the rapid surge in the volume, velocity and variety of data, we will witness rapid growth of infrastructure being built at the Edge, said Phillip Marangella, Chief Marketing Officer at EdgeConneX. Packets deployment in Detroit is emblematic of the future demands at the Edge where emerging applications and workloads like IoT or Autonomous Vehicles are highly latency sensitive and require very proximate compute resources.

Packet works with a number of data center operators, and is an early user of micro-modular data centers near wireless tower infrastructure. Packet has deployed gear in the first two Vapor IO sites at cell tower locations in Chicago, rolling out a 5G-as-a-Service (5GaaS) offering as part of Vapor IOs Kinetic Edgeplatform. Packet also installed its equipment at an SBA Communications data center at a tower site near Gillette Stadium in Foxborough, Massachusetts.

Weve looked at partners who have vast real estate, said Smith. Today the (data center) supply chain is built almost exclusively for hyperscalers and putting 100,000 things in one place, and not 100 things in 1,000 places.

My goal isnt to be in Boston, Smith added. My goal is to be able to go wherever that customer wants me to go. I think this is the new central office model.

And as with the old telephone network, the customer doesnt much care what the central office looks like. They just want a dial tone. Sorting out the business models is more complicated.

Its still a work in progress, said Smith. But the enterprise customers know this is complicated and they want to find a platform and partners that can invest in. I think its moving incredibly quickly. The desire is there now. We see a lot of demand.

As the business models for edge computing come into focus, Smith says, that demand will translate into rapid growth.

Nothing makes people get serious like dollars, said Smith. Youll see us deploy more data centers in the next 12 months than in the last five years.

To me, this looks like 2006 in the cloud, he said. Infrastructure is exciting again. Im excited every day about what were building.

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Packet Takes Its 'Go Anywhere' Bare Metal Cloud to the Edge - Data Center Frontier

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