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Global Aerospace Plastics Service Market Research Report, Growth Trends and Competitive Analysis 2021-2027 The Manomet Current – The Manomet Current

Posted on June 15, 2021 by Danzig

A new analytical data on the global Aerospace Plastics Service Market has newly been added by Infinity Business Insights to its humongous database to make strategic decisions in global businesses. The global Aerospace Plastics Service Market aims to offer deep insights into global businesses through this global informative report.

Get sample copy of this reporthttps://www.infinitybusinessinsights.com/request_sample.php?id=539853

Our industry experts are working determinedly to comprehend, amass and opportune convey appraisal on effect of COVID-19 debacle on numerous organizations and their customers to help them in taking brilliant business choices.

Top key players: SGL Group, Mitsubishi Heavy Industries, Stack Plastics, Superior Plastics, Toho Tenax, Hexcel, SABIC, SABIC, Quadrant, Kaman, Saint-Gobain, Solvay, Universal Plastics, Hyosung, Victrex, Ensinger, Cytec Industries, Evonik, Curbell Plastics, Toray, BASF SE, Composite Holding Company, Tech-Tool Plastics, Drake Plastics Ltd, Aero Plastics & Structures, Premium Aerotec

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Geographically, global Aerospace Plastics Service Market has been scrutinized across global regions to study about various successful strategies carried out by industries. It includes major regions such as North America, Latin America, Middle East, Asia-Pacific, Africa, and Europe on the basis of different parameters. Different top-level industries have been profiled to get better insights into the global Aerospace Plastics Service Market. Additionally, it offers detailed elaboration on different policies, rules and regulations initiated by governments to set standards for global market businesses.

Reasons Why You Should Buy This Report:

It gives a forward-looking viewpoint on changed variables driving or controlling business sector development. It gives an eight-year conjecture surveyed based on how the market is anticipated to develop. It helps in understanding the key item sections and their future. It gives pin point investigation of changing rivalry elements and keeps you in front of contenders. It helps in settling on educated business choices by having total bits of knowledge of market and by making inside and out investigation of market sections.

The studys numerous findings are focused on extensive cycles of primary and secondary research conducted by the analysts during the research process. TMRs analysts and specialist advisors use industry-wide, quantitative customer analytics methods and demand projection methodologies to produce accurate results. The report not only provides estimates and forecasts, but also a clear assessment of these statistics in terms of market dynamics. For company owners, CXOs, policymakers, and investors, these perspectives combine a data-driven research platform with qualitative consultations. The information would also assist their clients in overcoming their fears.

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If you need anything more than these then let us know and we will prepare the report according to your requirement.

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Global Aerospace Plastics Service Market Research Report, Growth Trends and Competitive Analysis 2021-2027 The Manomet Current - The Manomet Current

The real pioneers of 3D printing Aerospace Manufacturing – Aerospace Manufacturing

Posted on June 15, 2021 by Danzig

EOS Additive Minds Academy was founded in April 2020

EOS key account manager aerospace, Frdric Verlon explains how its industrial 3D printing technology solutions are helping to shape the future of aerospace manufacturing.

Founded in 1989, EOS says it has mastered the key interaction between lasers and powder materials in additive manufacturing (AM). The company offers everything from a single source, including systems, materials and process parameters all coordinated to enable reliable high part quality and a decisive competitive edge for its customers.

Q) Firstly, what are the types of trends and demands placed on your company by todays aerospace customers?

The key requirements are performance, weight reduction and flight safety. This also applies to AM. Performance is achieved when the required part quality can be achieved at the target cost of production. Weight reduction is an area where AM has proved to be very effective, allowing to optimise structures and putting material exactly where it is needed, as well as integrating functions. Flight safety is achieved when demonstrating that the manufacturing quality is reproductible in time, and fully under control. We are investing a lot of effort to deliver solutions which allow those requirements to be achieved.

Q) What are todays customers looking for in terms of AM related performance solutions?

The aerospace industry has been an early adopter of AM technology and has now reached the level of maturity to actually ramp up serial production of flightworthy parts. Now that weve demonstrated that our technology can deliver the required quality, the industry is looking for fully automated production solutions, not only to reduce the manpower costs, but also for the benefit of health and safety. There is also a strong demand for process monitoring and control solutions in a digital factory environment, where all relevant quality assurance data can be recorded and post-processed. Were in a position to provide solutions to all of the above.

Frdric Verlon, key account manager aerospace of EOS

The aerospace industry is also looking for processes and solutions for high performance materials, polymers and metals. To meet this demand, weve invested heavily in R&D to bring to the market solutions for hard to weld alloys and composite materials for instance.

Q) How mature is the current additive manufacturing supply chain?

The AM supply chain is continuously maturing. This is achieved thanks to a virtuous collaboration between the end user OEMs, the manufacturing solution suppliers and the AM manufacturing service companies. EOS is dedicated to not only thinking about our customers expectations and feedback, but also to consider our customers in our development roadmap activities.

Q) Is AM restricted by the size of parts and the speed in which it can deposit materials?

Of course there are limitations, but we strive to push the boundaries. However, we do this with a strong commitment not to jeopardise the essential: a reproducible high build quality. A typical aircraft includes many large size parts that couldnt be manufactured additively, but conversely, with the current build size and build speed capacities, were far from having explored all the potential aerospace AM applications.

Q) And how much is AM being used to print tools, say for sending parts over the wire to support an aircraft on the ground (AOG)?

An early adopter of AM technology, the aerospace sector is ramping up serial production of flightworthy parts

Over time, we have seen an important use of AM technologies to quickly and efficiently produce tools for the production needs of the factories. This will surely develop into models where tools, being designed centrally, will be built locally where needed in the field. Space agencies are even considering building tools on demand in spacecraft in the near future.

Q) With its ability to print complex, difficult-to-machine parts requiring multiple operations and entire subassemblies, is AM truly the way forward or are cycle times and flight ready part qualification an issue?

This is one of the main benefits of AM and the aerospace industry understood this early on. As a matter of fact, the field of aero-engines and gas turbines is probably the one that has adopted AM production the most, and this is definitely thanks to the AM capability to integrate functions and reduce assembly time.

Q) Bring me up to speed with the latest news regarding your Additive Minds Academy?

The Additive Minds Academys mission is to develop innovative learning formats and impart application-oriented knowledge about industrial 3D printing in the shortest possible time. We offer short learning modules, e-Learning and Learning paths. Our first three learning paths are AM Data Preparation Specialist Metal, AM Application Specialist Metal and AM Data Preparation Specialist Polymer. Each learning path consists of e-Learnings, self-study, trainer feedback and practical experience.

An optimised part and data flow is crucial for serial additive manufacturing

The learning paths are designed so that the competence required for a new role in AM can be built up within only four to six weeks. The courses combine online and self-study with practical learning based on case studies. Participants are supervised throughout the course, receive one-on-one feedback, and can get in touch with other learners. At the end of the programme, they take a test to then be certified by the Additive Minds Academy.

Q) What particular aspect has helped your company get through the pandemic?

I see two key points: the ability of our industrial 3D printing technology to enable a distributed and flexible production, and the overall trend of digitalisation/digital work we as a company embraced both internally and for our customers.

Everyone involved in supply chain manufacturing has had good reason over the last 12 months to think about how to protect their production flows and make them more efficient. When Covid-19 infection rates climbed drastically worldwide at the beginning of 2020, the potential of 3D printing to rapidly manufacture parts was quickly leveraged by many in order to produce medical equipment and machinery. Numerous countries and businesses have turned to local manufacturers and industrial 3D printing to help address the surge in demand for new products such as PPE, ventilators and nasal swabs.

One example for my digitalisation point above: Additive Minds Academy was founded in April 2020, when the pandemic had just started. Covid was an accelerator towards digital learning. Last spring we offered our first Home office training package which was very well accepted globally. The pandemic has shown that a rethink must happen when it comes to travel for training purposes. Through blended learning formats, online and remote training, the Additive Minds Academy is taking a step towards conserving resources and reducing not only travel times, but also training costs.

Q) Do you think companies should be using this pandemic enforced downtime to effectively reset and look at how efficiently they are running their businesses?

Narrowing this question down to the aerospace industry and our technology, I think there are some things which can be and have been done. While aircraft are grounded during the pandemic, 3D printing is being employed for maintenance and cabin interior reconstruction. The halt of aircraft operation has paused the need for much of the flight-hour-driven and flight-cycle-driven maintenance. Nevertheless, a good part of maintenance is calendar-driven, including parking procedures. Where aircraft are, there is maintenance.

EOS M 290, an all-rounder for 3D printed metal parts

Also, airlines and maintenance organisations can use AM to develop value selling for those who still fly through new, personalised experiences for passengers, and to enable increased cargo volumes and new cargo delivery mechanisms. Hygiene enablers and smart, locally manufactured parts made with 3D printing technology can be the avenue of success. MROs will benefit from cheaper spare parts, lower part weight and better designs, as cargo operation moves more into the focus.

More generally, the air travel industry is at a turning point of its history. The epidemic has led the world to reconsider the way people travel. This has happened at a time where climate change is acknowledged to be a critical problem. Those two elements will undoubtably lead the aircraft industry to take new paths where AM will play a strong part.

Q) What kind of industry landscape will we be faced with when everything gets back to normal?

A change was already taking place, with distributed production vividly demonstrating what could be achieved through the pandemic. This development will continue in my opinion.

Industrial 3D printing allows for demand-driven production, streamlines processes, and makes the supply chain more robust. Products can be improved or newly created with regards to their complexity, functional integration, or lightweight construction. Combining industrial 3D printing with digital manufacturing structures that link machines and production control software systems in globally dispersed locations, results in new levels of transparency thanks to real-time reporting, flexibility, and performance.

Recent events are leading all manufacturers to realise they may not be as flexible as they realised allowing 3D printing to shine on the global stage. A technology once seen as only suitable for prototyping is dealing with these challenges head on and leading to evolutions in product designs and manufacturing that simply are not possible with traditional techniques.

Q) Finally, any other thoughts on the future?

Sustainability is becoming increasingly more important across all industries. This is directly interlinked to the benefits of 3D printing and will play a huge role in 2021 and beyond. EOS is convinced that advanced manufacturing can be highly beneficial through its ability to produce locally and on-demand, reduce scrap waste compared to conventional manufacturing, and even potentially cut CO2 emissions.

In the coming years, 3D printing materials will also increasingly be made from renewable sources, such as EOS high-performance polyamide 11 plastic which is made from 100% renewable castor beans.

http://www.eos.info

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The real pioneers of 3D printing Aerospace Manufacturing - Aerospace Manufacturing

Impact of COVID-19 on Aerospace Plastics Market Overview, in-Depth Analysis, Forecasts, Applications, Shares & Insights The Manomet Current – The…

Posted on June 15, 2021 by Danzig

The report on the Aerospace Plastics Market published by Stratview Research focuses on current trends, dynamics, insights and also predicts the market condition and its future during the forecast period of 2021-2026. The report also offers insights into different market segments and other factors affecting the market. The report provides in-depth insights into the market dynamics to enable informed business decision-making and growth strategy making based on the opportunities present in the market.The research report on Aerospace Plastics Market shows good opportunities during the forecast period. The following summary will also give an overview of the causes, processes, and possible effects of the fluctuating market trends.

Request a free sample here:https://www.stratviewresearch.com/Request-Sample/860/aerospace-plastics-market.html#form

The report also showcases the strategic growth opportunities for the existing and new players. The key players in the market are:

SABICVictrex plcDrake Plastics Ltd.Solvay S.A.BASF SEEvonik Industries AGDuPont de Nemours, Inc.Hexcel CorporationCompagnie de Saint-Gobain S.A.PPG Industries, Inc.

This strategic report analyses todays Aerospace Plastics Market realities and future possibilities for the forecast period of 2021 to 2026. The report estimates the short as well as long-term repercussions of the Covid-19 pandemic on the demand for Aerospace Plastics Market at the global, regional, as well as country level. Also, the report provides the possible loss that the industry may endure by comparing pre-Covid and post-Covid scenarios.

Our experts monitoring the situation across the globe, explain that the demand relating to the product is supposed to increase and will leapfrog post COVID-19 pandemic. The strategic analysis aims to provide an additional illustration of todays scenario, economic slowdown, COVID-19 impact and future developments in the overall industry.

View the Table of Contents herehttps://www.stratviewresearch.com/860/aerospace-plastics-market.html

ReportStructure

Stratview Research provides all its reports by undertaking a thorough research methodology that includes extensive secondary research, in-depth primary interviews with industry stakeholders, and validation and triangulation using its own database and statistical tools.

The present report provides market intelligence in the most comprehensive way. The report structure has been kept such that it offers maximum business value. The report enables strategic decision making for the existing market players as well as those willing to enter the market. A proper report is designed based on the analysis and includes the following main features:

Market structure: Overview, industry life cycle analysis, supply chain analysis Market environment analysis: Growth drivers and constraints, and SWOT analysis. Market trend and forecast analysis Market segment trend and forecast Competitive landscape and dynamics: Market share, product portfolio, product launches, etc. Attractive market segments and associated growth opportunities Emerging trends Strategic growth opportunities for the existing and new players Key success factors

Research Methodology

Our reports are the outcome of a detailed research methodology comprising wide-ranging secondary research, rigorous primary interviews with industry players, and validation with Stratview Researchs internal database and statistical tools. More than 1,000 authenticated secondary sources, such as company annual reports, fact book, press releases, journals, white papers, and articles, have been leveraged to gather the data. About 15 detailed primary interviews with the market players across the value chain in all major regions and industry experts have been conducted to obtain both qualitative and quantitative insights.

EFFECT OF COVID-19 on Aerospace Plastics Market

Covid-19 has influenced every organization and impacted the market dynamics, competition, and global supply chains. The revenues have gone down in 2020 drastically and may resume an uptrend gradually form 2021. The year, 2021 is probably going to be superior to 2020 for the Aerospace Plastics Market players as the greater part of the organizations have continued their activities and the interest is getting re-established for them.

Know more about Stratview Research:

Stratview Research is a global market research company and is known to offer custom research reports in varied fields such as aerospace & Defense, Advanced Materials, Aerospace & Defense, Automotive & Mass Transportation, Consumer Goods, Construction & Equipment, Electronics and Semiconductors, Energy & Utility, Healthcare & Life Sciences, and Oil & Gas. Our team makes sure to have a deep research about the topics so that the most useful insights can be delivered to the professionals.

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Impact of COVID-19 on Aerospace Plastics Market Overview, in-Depth Analysis, Forecasts, Applications, Shares & Insights The Manomet Current - The...

COVID-19 Analysis on Global Aerospace Magnesium Alloys Industry Growth 2021 The Manomet Current – The Manomet Current

Posted on June 15, 2021 by Danzig

The Global Aerospace Magnesium Alloys Market Research Reportexamines all the key factors influencing growth of global Aerospace Magnesium Alloys market, including demand-supply scenario, pricing structure, profit margins, production and value chain analysis. Regional assessment of global Global Aerospace Magnesium Alloys market unlocks a plethora of untapped opportunities in regional and domestic market places. The market report on Aerospace Magnesium Alloys Market 2021 analyzed in detail and prepared with all the vital data to frame tactical business judgments and propose strategic growth plans to assist in every possible situation. The primary focus has been to offer a comprehensive insight into the development policies and plans in addition to manufacturing processes and cost structures. This report likewise examines the different Factors impacting the market development and drivers, further reveals insight into market review, key makers, key received by them, size, most recent patterns and types, income, net edge with provincial examination and figure. Aspects such as market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels and distributors, have been the primary focus of analysis in preparation of this report.

This report includes massive data relating to the product or technological developments observed in the market, complete with an analysis of the impact of these advancements on the markets future development. Global Aerospace Magnesium Alloys market has been carried out. This report analysis will help organizations understand the major threat and opportunities that vendors have to deal in the market. Moreover, the report presents a 360-degree overview and SWOT analysis of the competitive.

Some of the players in Aerospace Magnesium Alloys Market are

Smiths Metal, Meridian, Luxfer MEL Technologies, Sumitomo Electric, Advanced Magnesium Alloys Corporation, Dynacast, Dead Sea Magnesium, Ka Shui International Holdings, Nanjing Yunhai Special Metals, Regal Magnesium, Shanxi Yinguang Huasheng Magnesium, Shanxi Fugu Tianyu Mineral

Request sample copy of this report at @ https://www.researchforetell.com/reports/73120/aerospace-magnesium-alloys-marketglobal-outlook-and-forecast-2021-2027/request

Global Aerospace Magnesium Alloys Market Segmentation:

Based on Type:

Based on Application/End-User:

Regional Level Segmentation Of Aerospace Magnesium Alloys Is As Follows:

Key questions answered in the report:

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Key Features of the Report:

The report analyses the impact of socio-political environment through PESTLE Analysis and competition through Porters Five Force Analysis in addition to recent technology advancements and innovations in the market.

Complete report is available at- https://www.researchforetell.com/reports/73120/aerospace-magnesium-alloys-marketglobal-outlook-and-forecast-2021-2027

There are 10 Chapters to deeply display the Aerospace Magnesium Alloys Market.

Chapter 1 to analyze the top manufacturers of Aerospace Magnesium Alloys, with sales, revenue and price of Aerospace Magnesium Alloys in 2020-2026.

Chapter 2, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2020-2026.

Chapter 3, to show the global market by regions, with sales, revenue and market share of Aerospace Magnesium Alloys, for each region, from 2020-2026.

Chapter 4, 5, 6 and 7 to analyze the key regions, with sales, revenue and market share by key countries in these regions.

Chapter 8 and 9, to show the market by type and application, with sales market share and growth rate by type, application, from 2020-2026.

Chapter 10 Aerospace Magnesium AlloysMarket forecast, by regions, type and application, with sales and revenue, from 2020-2026.

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Research Foretell is an information service company that provides market research, custom, and consulting services. Decision-making is complicated and we help you to solve your biggest puzzle, by identifying, analyzing, and monitoring the recent developing technologies and markets. Research Foretell is always forefront on classifying new opportunity in the market; with us you always have the first mover advantage.

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COVID-19 Analysis on Global Aerospace Magnesium Alloys Industry Growth 2021 The Manomet Current - The Manomet Current

Improvements Begin On Aerospace And Raytheon Parkways – Patch.com

Posted on June 15, 2021 by Danzig

Press release from Pima County:

June 14, 2021

Until Monday, June 28, between 6 a.m. and 4 p.m., Pima County Project Management Office and its contractors, will complete roadway modifications and improvements on South Raytheon Parkway.

This work will shift traffic and begin the road to route through the new gate. The Gate is scheduled to be complete and open by mid-July; at which time, the remaining roadway work north of the intersection will commence.

Lane restrictions will be necessary during this work. Traffic will continue with the current single lane in each direction, but will be shifted to the east side of the road. Traffic control barricades and signs will be visible during the duration of construction activities.

Please approach the area with caution and obey all traffic control devices. Motorists may expect minor delays.

In the event of mechanical failure or inclement weather, the construction schedule is subject to change.

This press release was produced by Pima County. The views expressed here are the author's own.

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Improvements Begin On Aerospace And Raytheon Parkways - Patch.com

Is the aerospace, defense & security sector seeing the beginnings of an AI investment boom? – Naval Technology

Posted on June 15, 2021 by Danzig

The aerospace, defense & security industry is seeing an increase in artificial intelligence (AI) investment across several key metrics, according to an analysis of GlobalData data.

AI is gaining an increasing presence across multiple sectors, with top companies completing more AI deals, hiring for more AI roles and mentioning it more frequently in company reports at the start of 2021.

GlobalDatas thematic approach to sector activity seeks to group key company information on hiring, deals, patents and more by topic to see which companies are best placed to weather the disruptions coming to their industries.

These themes, of which AI is one, are best thought of as any issue that keeps a CEO awake at night, and by tracking them it becomes possible to ascertain which companies are leading the way on specific issues and which are dragging their heels.

Hiring patterns within the aerospace, defense & security sector as a whole are pointing towards an increase in the level of attention being shown to AI-related roles. There was a monthly average of 971 actively advertised-for open AI roles within the industry in April this year, up from a monthly average of 815 in December 2020.

It is also apparent from an analysis of keyword mentions in financial filings that AI is occupying the minds of aerospace, defense & security companies to an increasing extent.

There have been 163 mentions of AI across the filings of the biggest aerospace, defense & security companies so far in 2021, equating to 8.3% of all tech theme mentions. This figure represents an increase compared to 2016, when AI represented 2.7% of the tech theme mentions in company filings.

AI is increasingly fueling innovation in the aerospace, defense & security sector, particularly in the past six years. There were, on average, 25 aerospace, defense & security patents related to AI granted each year from 2000 to 2014. That figure has risen to an average of 431 patents since then, reaching 1,071 in 2020.

Autonomous Underwater Vehicles, Underwater Acoustics and Systems Integration

28 Aug 2020

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Is the aerospace, defense & security sector seeing the beginnings of an AI investment boom? - Naval Technology

New Technology Transforming Energization in the Aerospace & – GlobeNewswire

Posted on June 15, 2021 by Danzig

New York, June 09, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "New Technology Transforming Energization in the Aerospace & Defense Industry" - https://www.reportlinker.com/p06090611/?utm_source=GNW

While only a few operators are currently using these advanced capabilities, the number of operators is expected to increase significantly over the next decade and drive the market for advanced energization solutions in defense. The commercial sector has overtaken the defense sector as far as energy-related offerings are concerned, which has caused both defense companies and military operators to turn to the commercial sector to look for solutions for their emerging requirements.

This study provides a snapshot of how the energization requirements of operators are changing, analyses the factors that are driving the changes, and identifies the emerging opportunities.Author: Arjun SreekumarRead the full report: https://www.reportlinker.com/p06090611/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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New Technology Transforming Energization in the Aerospace & - GlobeNewswire

What it takes to have a career in aerospace – Yahoo Finance

Posted on June 15, 2021 by Danzig

Yahoo Finance's Sibile Marcellus speaks with Ariel Ekblaw, Director of MIT Space Exploration Initiative on working with Jeff Bezos rocket company Blue Origin and a career in aerospace.

- Well, Jeff Bezos is stepping down as CEO of Amazon on July 5th. So his next move, which makes a whole lot of sense, is flying to space. So is a career in aerospace just for billionaire businessmen and women, or is there an opportunity for the rest of us? Here's [? Seville ?] with the latest installment of Career Control.

- Jeff Bezos is scheduled to go to space on July 20th. That's in a little more than a month from now. Watch this announcement he made on Instagram about it this week.

JEFF BEZOS: You see the Earth from space, and it changes you. It changes your relationship with this planet, with humanity. It's one Earth. I want to go on this flight because it's a thing I've wanted to do all my life. It's an adventure. It's a big deal for me.

- I want to bring in Ariel Ekblaw, founder and director of the MIT Space Exploration Initiative. Ariel, you have a business relationship with Jeff Bezos's rocket company, Blue Origin. How involved have you been with the exact rocket Jeff Bezos plans to fly to space in, and have you been inside it or is there a replica?

ARIEL EKBLAW: Thank you for having me. So yes, at MIT's Space Exploration Initiative, we've had the pleasure of flying research payloads on New Shepherd. This is a suborbital rocket, so it goes up, makes about a three minute or so coasting period of microgravity, and then returns to the surface of the Earth. And we have had an opportunity to install experiments and be able to get data back from the same chamber, a similar chamber to what will now, as we're all excitedly watching, be ferrying Jeff Bezos and a few other human space tourists up into suborbital space tourism, for the first time. July 20th.

- And Ariel, is Blue Origin ready to carry Jeff Bezos on that first human flight to space?

Story continues

ARIEL EKBLAW: So to my knowledge, they've done over a dozen-- now I think it might be close to 15, but don't quote me on that exact number-- flights with New Shepherd. So they've been developing this platform for a period of time now. And if the origin says they're ready and Jeff is ready to take that flight, we'll all be watching very excitedly and wish them all the best.

- And Ariel, you run the MIT Space Exploration Initiative, which aims to democratize access to space. What's it like to go through zero gravity simulation here on Earth? Have you done it personally? And is it kind of like being in a roller coaster in the sky?

ARIEL EKBLAW: That's a great question. And it is exactly the work that we're aiming to do with the initiative, is to help more people around the world see themselves in the future of space exploration. And one of the ways that we do that on Earth is by finding space simulation environments. And our favorite one, affectionately known as the Vomit Comet, is a plane-based experience of weightlessness.

So it's a Boeing 727, a little bit modified. And just like what you-- flying across the Atlantic, for example. And what that plane does is it does what you never want a plane to do. It pitches very steeply upward at 45 degrees, noses over, pitches very steeply downward, flies what we call a parabolic arc, and then does that arc 30 to 40 times in the sky. So yes, it's a very apt description, actually, to call it a roller coaster in the sky. And we get these beautiful moments of weightlessness, of zero gravity-- or microgravity is the more technical term-- at the top of those arcs.

- So what does it take to have a career in aerospace for people that you've convinced who want to do this with their time? Do you have to have a degree in science to be able to do this?

ARIEL EKBLAW: So it certainly helps. I do have a degree in science. I'm a scientist. But what we're trying to share with, particularly, your audience and with our community that might be listening today, is that space is changing. We're at an incredible inflection point in the space industry. We just saw Axiom, a space habitat company, raise $130 million Series B round. So space and the space industry business is no longer just tied up in satellites and data products. It's now really beginning to explore the future of human life in space. And for all the richness of human life on Earth, we will want the same diversity of roles.

We'll want the rich tapestry of what makes life so special on Earth to also be designed for in space. And that means that, yes, we need scientists and engineers like myself, still, but we also need space architects, we need space artists, space designers, space lawyers to help us deal with all of the interesting policy and legal questions that are going to arise within this next decade. So yes, a STEM degree helps. I'm always a fan of STEM. But what we like to say nowadays is STEAM. So if you're considering your career for the future, think about science, technology, engineering, art-- that's the A in STEAM-- and mathematics.

- Ariel, you said space architect. Are we really at the point where we can hire someone to design a home for people to live in in space? I mean, have we really made that much progress in space exploration since the infamous first walk on the moon by Neil Armstrong about 50 years ago?

ARIEL EKBLAW: So I would say yes. I'm very bullish on this point. And if you look at Axiom and other companies, they are planning for the first commercial space habitat in orbit in this decade. So this means NASA will no longer be running, solely, the International Space Station with all of these amazing international collaborators as a government-run space station. We will have, in addition to that, which is a commercial space station. And yes, I would say it's not too far out beyond that that we'll begin having the opportunity for space hotels of a modest size.

And then eventually, perhaps, yes, even private residences or dwellings. And this is some of the work that we are really excited to share in an upcoming book that's being released through the MIT Press called Into the Anthropocosmos. So we think of the Anthropocene as this era of human-- high human activity on the Earth. We're entering this era of extensive human activity in the cosmos. And we're really excited to see where it takes us, and our work at MIT is trying to build the artifacts of your sci-fi space future.

- Ariel, I'll be paying attention and following very closely all the new developments in space exploration. Of course, a lot of us will be watching for Jeff Bezos to actually go to space as scheduled. Ariel Ekblaw, thanks so much.

ARIEL EKBLAW: Thank you.

- All right, [? Seville. ?] Thanks so much for bringing us that conversation as a part of the latest installment of Career Control.

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What it takes to have a career in aerospace - Yahoo Finance

Artificial Intelligence for Rapid Exclusion of COVID-19 Infection – SciTechDaily

Posted on June 15, 2021 by Danzig

rtificial intelligence (AI) may offer a way to accurately determine that a person is not infected with COVID-19. An international retrospective study finds that infection with SARS-CoV-2, the virus that causes COVID-19, creates subtle electrical changes in the heart. An AI-enhanced EKG can detect these changes and potentially be used as a rapid, reliable COVID-19 screening test to rule out COVID-19 infection.

The AI-enhanced EKG was able to detect COVID-19 infection in the test with a positive predictive value people infected of 37% and a negative predictive value people not infected of 91%. When additional normal control subjects were added to reflect a 5% prevalence of COVID-19 similar to a real-world population the negative predictive value jumped to 99.2%. The findings are published in Mayo Clinic Proceedings.

COVID-19 has a 10- to 14-day incubation period, which is long compared to other common viruses. Many people do not show symptoms of infection, and they could unknowingly put others at risk. Also, the turnaround time and clinical resources needed for current testing methods are substantial, and access can be a problem.

If validated prospectively using smartphone electrodes, this will make it even simpler to diagnose COVID infection, highlighting what might be done with international collaborations, says Paul Friedman, M.D., chair of Mayo Clinics Department of Cardiovascular Medicine in Rochester. Dr. Friedman is senior author of the study.

The realization of a global health crisis brought together stakeholders around the world to develop a tool that could address the need to rapidly, noninvasively and cost-effectively rule out the presence of acute COVID-19 infection. The study, which included data from racially diverse populations, was conducted through a global volunteer consortium spanning four continents and 14 countries.

The lessons from this global working group showed what is feasible, and the need pushed members in industry and academia to partner in solving the complex questions of how to gather and transfer data from multiple centers with their own EKG systems, electronic health records and variable access to their own data, says Suraj Kapa, M.D., a cardiac electrophysiologist at Mayo Clinic. The relationships and data processing frameworks refined through this collaboration can support the development and validation of new algorithms in the future.

The researchers selected patients with EKG data from around the time their COVID-19 diagnosis was confirmed by a genetic test for the SARS-Co-V-2 virus. These data were control-matched with similar EKG data from patients who were not infected with COVID-19.

Researchers used more than 26,000 of the EKGs to train the AI and nearly 4,000 others to validate its readings. Finally, the AI was tested on 7,870 EKGs not previously used. In each of these sets, the prevalence of COVID-19 was around 33%.

To accurately reflect a real-world population, more than 50,000 additional normal EKGs were then added to reach a 5% prevalence rate of COVID-19. This raised the negative predictive value of the AI from 91% to 99.2%.

Zachi Attia, Ph.D., a Mayo Clinic engineer in the Department of Cardiovascular Medicine, explains that prevalence is a variable in the calculation of positive and negative predictive values. Specifically, as the prevalence decreases, the negative predictive value increases. Dr. Attia is co-first author of the study with Dr. Kapa.

Accuracy is one of the biggest hurdles in determining the value of any test for COVID-19, says Dr. Attia. Not only do we need to know the sensitivity and specificity of the test, but also the prevalence of the disease. Adding the extra control EKG data was critical to demonstrating how a variable prevalence of the disease as we have encountered with regions having widely different rates of disease at different stages of the pandemic would impact how the test would perform.

This study demonstrates the presence of a biological signal in the EKG consistent with COVID-19 infection, but it included many ill patients. While it is a hopeful signal, we must prospectively test this in asymptomatic people using smartphone-based electrodes to confirm that it can be practically used in the fight against the pandemic, notes Dr. Friedman. Studies are underway now to address that question.

Reference: 15 June 2021, Mayo Clinic Proceedings.

This study was designed and conceived by Mayo Clinic investigators, and the work was made possible in part by a philanthropic gift from the Lerer Family Charitable Foundation Inc., and by the voluntary support from participating physicians and hospitals around the world who contributed in an effort to combat the COVID-19 pandemic. Technical support was donated by GE Healthcare, Philips and Epiphany Healthcare for the transfer of EKG data.

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Artificial Intelligence for Rapid Exclusion of COVID-19 Infection - SciTechDaily

Researchers ask industry for military technologies in artificial intelligence (AI) and unmanned aircraft – Military & Aerospace Electronics

Posted on June 15, 2021 by Danzig

ARLINGTON, Va. U.S. military researchers are asking the defense industry to develop revolutionary enabling technologies for land, sea, air, and space applications that would put U.S. forces far ahead of any potential adversaries.

Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued a broad agency announcement on Friday (HR001121S0029) for the Redefining Possible project.

Potential U.S. adversaries such as Russia and China have developed ways to counter today's U.S. military systems that are built around exquisite, monolithic integrated systems. Instead, DARPA researchers want to develop revolutionary system architectures that are separate, dispersed, disruptive, and that instill doubt in U.S. adversaries.

DARPA experts want to identify promising technologies and move them quickly to the next phase of research and development. Technologies should improve resilience, responsiveness, range, lethality, access, endurance, and affordability to enable new joint force warfighting concepts.

Related: Air Force chooses nine companies to provide enabling technologies for Skyborg unmanned combat aircraft

For aircraft, researchers point out that stealth and low-observability technologies simply do not offer the advantages they used to. Adversaries have come up with generations of countermeasures since stealth was invented, and today the ability to make platforms survivable is approaching physical limits, which makes continuing the traditional path of stealth technologies impractical.

At the same time, unmanned combat air vehicles (UCAVs) have been used widely, and adversaries have developed countermeasures that have compromised the effectiveness of UCAVs and stealth technologies.

DARPA is interested in systems to counter the proliferation of advanced integrated air defense system (IADS) technologies like extremely capable surface-to-air and air-to-air missiles.

As a result, DARPA researchers are interested in new enabling technologies that provide survivability for next-generation unmanned aerial systems; use distributed and disaggregated systems to reduce reliance on small numbers of exquisite platforms; enable timely delivery of targeting data; advance aircraft propulsion capabilities; machine autonomy to minimize the risk to human warfighters; and design and development tools to develop and field systems quickly, such as model-based systems engineering, multi-dimensional optimization, and additive manufacturing.

Related: Artificial intelligence and machine learning for unmanned vehicles

For ground systems, researchers are interested in technologies to improve the integration of unmanned ground systems with one another and with troops to enable both groups to operate together effectively.

DARPA also wants technologies to provide small-unit and individual warfighter mobility and lethality; that can expand combined arms maneuver into the air, into interiors of buildings, and underground. For these technologies DARPA is interested in artificial intelligence (AI) for integrated manned-unmanned ground force operations, ground robots, and ground robotic combat systems to operate at the speed of battle to keep up with human warfighters.

For manned and unmanned surface ships and submarines, DARPA researchers are interested in technologies to reduce reliance on aircraft carriers that require layered air defenses.

For this, researchers want to develop technologies to counter advanced enemy submarines and torpedoes; provide a persistent presence in harsh environments such as the arctic; and small, inexpensive, networked vessels with AI and machine autonomy.

Related: Soaring Otter program to focus on maturing artificial intelligence (AI), machine learning, and autonomy

For space, DARPA researchers are interested in technologies to reduce reliance on large and expensive satellites; AI and deep learning technologies for data evaluation; and counter emerging threats in contested space.

For these kinds of technologies, DARPA researchers want to develop new materials, manufacturing, and computational imaging to reduce the size, weight, cost, and timeliness necessary to field game-changing capabilities.

Initial contracts will be worth less than $1 million each, and several contracts are expected. Companies interested have one year to respond, and should submit proposals no later than 10 June 2022 to the DARPA BAA Website at https://baa.darpa.mil. Email questions or concerns to DARPA at HR001121S0029@darpa.mil.

More information is online at https://sam.gov/opp/7728a31252544c5da3083c3533c8d50b/view.

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Researchers ask industry for military technologies in artificial intelligence (AI) and unmanned aircraft - Military & Aerospace Electronics

VisionQuest Uses Artificial Intelligence to Screen 40000 Patients for Diabetic Retinopathy – Business Wire

Posted on June 15, 2021 by Danzig

ALBUQUERQUE, New Mexico--(BUSINESS WIRE)--VisionQuest Biomedical Inc. announces that the company has used the EyeStar artificial intelligence (AI) software to screen over 40,000 patients for diabetic retinopathy at the Clnicas del Azcar.

The EyeStar AI system screens patients for diabetic retinopathy and macular edema, conditions that lead to vision loss and blindness if left untreated. VisionQuest brought the EyeStar AI system to Clnicas del Azcar in 2016, and since then the software has identified over 4,000 patients with sight-threatening disease who would not otherwise have been referred for care by a specialist in a timely manner.

Javier Lozano, CEO of Clnicas del Azcar, pioneered the one-stop shop concept of diabetes care. In 2011 he founded Clnicas del Azcar in Monterrey, Mexico, and since then has expanded to twenty one clinics in eight cities throughout the country. At the clinics, Lozano and VisionQuest have established innovative technologies, including AI, to serve both patients and providers, bringing health care to the people who need it most in efficient and cost-effective ways.

The screening procedure at Clnicas del Azcar is straightforward and quick: A patient arrives at the clinic and has their vital measurements recorded. A nurse or technician takes retinal photographs (without needing to dilate the patients pupils) using a tabletop or handheld camera and uploads them to the cloud, where the user-friendly EyeStar system applies a deep-learning classifier to determine whether the patient needs to be referred to an ophthalmologist. EyeStars analysis takes less than a minute and allows physicians at the clinics to manage their patients with efficiency and care and to refer them to a specialist when needed.

We have demonstrated that EyeStar fits the clinical needs of diabetes clinics, with high accuracy of disease detection and seamless integration with the clinics workflow, says VisionQuest CEO Simon Barriga. Our system allows the clinics to provide diabetic eye-disease screening to 100 percent of their patients in a country where compliance with annual diabetic eye exams is less than 20 percent, he continued.

VisionQuests quality assurance program shows that EyeStar can provide a result in 98 percent of cases due to the softwares resilience to variations in image quality. EyeStar was developed with funding from the National Eye Institute. The system uses state-of-the-art deep-learning algorithms trained on hundreds of thousands of images from VisionQuests proprietary dataset to achieve over 90 percent sensitivity in the detection of diabetic retinopathy. Providers refer only patients who are found to have severe disease for dilated-eye exams and possible treatment, which makes the best use of scarce eye-care resources in Mexico. EyeStar thus has a major positive impact on clinical efficiency and health-care access, as well as improving outcomes for patients who might otherwise be reluctant to return for further care.

About VisionQuest Biomedical Inc.: VisionQuest develops and delivers innovative artificial intelligencebased imaging technologies that increase access to health care for the people who need it the most. We serve patients and providers in the most efficient and cost-effective ways possible. Dr. Peter Soliz founded VisionQuest in 2007 to develop AI techniques that could be used by health-care professionals to evaluate digital medical photographs, specifically retinal images that showed evidence of diabetic retinopathythe most common complication of diabetes and the leading cause of blindness in the working-age populationand other pathologies. In the United States, VisionQuest has established a network of clinics in which to study computer-based detection of retinal pathologies. In Mexico, our EyeStar software is used to screen patients for diabetic retinopathy. In the sub-Saharan country of Malawi, VisionQuest is applying retinal screening to the detection of malarial retinopathy.

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VisionQuest Uses Artificial Intelligence to Screen 40000 Patients for Diabetic Retinopathy - Business Wire

5 Uses of Artificial Intelligence to Improve Customer Experience Measurement – Small Business Trends

Posted on June 15, 2021 by Danzig

Customer experience plays an important role in the growth of your brand. Thats why its essential to not only offer a great experience but also understand if you truly are able to cater to your customers well. Thats where you can use artificial intelligence to improve your customer experience measurement.

But why is customer experience so important?

Nearly 84% of consumers say they go out of their way to spend more money on great experiences. So, its safe to say that a better customer experience translates into higher sales and revenue.

Image via Gladly

But to improve your customer experience, you must know where you stand in the first place. For this, its important to do customer experience measurement. Artificial intelligence (AI) plays a major role in automating and speeding up various marketing activities and it can help improve this process as well.

So, lets take a look at how you can use artificial intelligence to improve your customer experience measurement.

Here are the different ways through which you can use artificial intelligence to improve your customer experience measurement.

To truly get an idea of where you stand in terms of your customer experience, its essential to collect and analyze customer feedback. The idea here is to hear all about your customer experience from the customers themselves.

Its the best mode of understanding where youre excelling and or lagging in certain aspects of customer experience. Accordingly, you can understand what changes need to be implemented to improve the experience. This, in turn, can help boost the sales of your ecommerce or brick-and-mortar business.

So, how can artificial intelligence help with this?

Collecting customer feedback may be simple. However, analyzing the feedback can take a lot of time and effort, especially if youve got a lot of customers. Youd have to manually go through individual feedback and then analyze that unstructured data.

However, AI can speed up this process of measurement. Using text analytics platforms, you can seamlessly analyze large amounts of feedback data from your customers. This quick analysis will help you derive valuable insights that you can leverage to improve your customer experience strategy.

Another way in which artificial intelligence can help you collect, analyze, and improve your customer experience measurement is through the use of chatbots and live chat.

Using AI-powered chatbots, you can converse with your customers in real-time. Using the power of machine learning and natural language processing, these chatbots can understand the questions posed by your customers and answer them.

Whats more?

Apart from chatbots, you should also use live chat platforms to offer customer service in case the chatbots arent able to answer the questions posed by the customers.

But how does customer experience measurement come into the picture here?

When your customers chat with your chatbot or customer support representatives, they can ask them to rate the interactions. The feedback data collected can be analyzed by artificial intelligence-based tools to help you understand how well you were able to service their questions.

To understand your customer experience, its important to get an idea of their emotions as well. You need to understand and predict them to find out if theyre satisfied with your brands services or not.

Until recently, there was no easy way of going about this. You had to rely on the customers telling you about their emotions, and such instances, unfortunately, arent many.

However, with the advent of artificial intelligence, its possible to detect the emotions of your customers from multiple channels.

For instance, artificial intelligence tools can seamlessly detect the customers emotions based on the messages theyve sent or the conversations theyve had with your customer support team.

Emotion AI tools can pick up emotional signals by observing the tone and pitch of the customers voice. They can also analyze the text written by your customers to understand if theyre happy, sad, stressed out, angry, etc.

Whats more?

Even if youve got videos of the customers, these tools can identify their emotions using their body language, changes in facial expressions, etc.

All of this analysis can help you identify how well youre performing when it comes to customer experience.

For instance, Grammarly, the popular writing tool, can recognize the emotions in the text thats written. This helps you better understand the customer experience and you can accordingly take steps to improve it.

Image via Grammarly

Most call center records are converted into transcripts for reviewing at a later stage. However, the one thing that transcripts cant help you identify is the emotions of the customer at each point in the conversation.

You wouldnt know if the customer raised their voice, had an angry tone, felt sad, or was elated by your service. Transcripts wont be able to tell these things to you and when it comes to customer experience, these are all important cues that you must not miss.

All of these cues would only be available if youve recorded the customers call in its audio format. By getting access to this speech, you would be better able to understand if your customer experience was positive or negative.

Artificial intelligence can help improve your customer experience measurement in this case too. Using AI-powered speech analysis tools, you can understand the tone of each customer. Also, these tools can help you find out the:

This measurement process would be quick too as artificial intelligence would be able to go through a large number of calls with ease as compared to listening to them manually. All this information would be extremely useful for helping you understand the customers current situation. Based on that, you would be able to determine the future course of action as well.

One of the toughest tasks that you might face as a customer experience professional is that of finding out the customer experience throughout the sales funnel.

But why is this task difficult?

The customers may go through numerous stages during the sales funnel and they may connect with you at various touchpoints too. As a result, all the customer data would be in different silos. These silos can act as deterrents to determining the customer experience as you wouldnt have a unified database for each customer.

Analytics and insights derived from such segregated data might not be very accurate and wont paint the whole picture for your customer experience.

However, customer journey analytics tools based on artificial intelligence can help you change this. They can unify your customer data from the entire customer journey and analyze it. This singular customer journey view will help you get an accurate measurement of the customer experience.

Customer experience plays a pivotal role in the success of your brand as it influences customer retention. Thats why its essential to measure your customer experience regularly and improve it.

Artificial intelligence can help with this by analyzing customer feedback and deriving insights from it. Also, you can use chatbots and live chat to collect and analyze customer feedback.

Whats more?

Tools powered by AI can also recognize customer emotions in text, voice, and videos. This can help you understand their experience and improve it. Finally, these tools can also help unify all your customer data from across their journey and analyze it. As a result, youll be able to get an accurate measurement of your customer experience.

Do you have any questions about the various methods of using artificial intelligence to improve customer experience measurement mentioned above? Ask them in the comments.

Image: Depositphotos

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Artificial intelligence and the McData-fueled future of capitalism – The Next Web

Posted on June 15, 2021 by Danzig

Ba da ba ba bah, McDonalds is capturing and storing biometric data on its customers without their knowledge or consent.

Per a report from The Register, McDonalds may be facing a class action lawsuit after an Illinois customer sued the mega-corporation for allegedly violating the states Biometric Information Privacy Act (BIPA):

(The plaintiff) sued McDonalds on behalf of himself and all other affected residents of Illinois. He claimed the fast-chow biz has broken BIPA by not obtaining written consent from its customers to collect and process their voice data.

Illinois has some of the stiffest biometric privacy laws in the US.

The lawsuit apparently stems from the companys use of automated drive-thru order takers in the form of chatbots.

Drive-thru customers were subjected to experimental natural language processing (NLP) AI in the state, in at least 10 of the companys locations. While its unclear exactly what AI systems McDonalds was using during the trial, it stands to reason the company would need to collect and store user data in order to train its AI.

Its hard to spot precedence in the wild, but theres no denying the world sits on the rocky precipice of embracing autonomy. This very well could be the legal catalyst that kicks off the big business V big government debate over how were going to go about transitioning to the next technology paradigm for capitalism.

From a purely business-oriented POV, McDonalds might not be in as bad a position as it appears. Whats an eight-figure lawsuit to company worth nearly $200 billion?

McDonalds has been dabbling in AI systems for years now, and theres an argument to be made that its poised to lead the charge when it comes to autonomous systems.

Autonomous robotics technology is nothing new. Today it powers automotive factories and the garment manufacturing industry.

And that makes it easy for us to imagine other industries, such as fast food, adopting a similar approach. Weve certainly heard a lot about burger-flipping robotsand the end of entry-level jobs for the past decade.

The majority of discourse on automation focuses on the one-for-one human costs of replacement. We often envision the debate being about whether the efficiency and corporate labor cost reductions are worth the potential mass displacement of human workers.

But what if we stop thinking about McDonalds like a greasy spoon and start thinking of it like Facebook, Google, or Microsoft.

The mainstream my recognize those as a social network, search giant, and OS developer respectively, but the truth of the matter is each one is an AI-first company. And with each passing year, AI endeavors make up a greater portion of their profits and net worth.

[Read: Global AI market predicted to reach nearly $1 trillion by 2028]

If McDonalds were to convert its global market position as a restaurateur into a horizontal entry into the technology sector interesting things could happen.

Strip away the what and how of where McDonalds exists as a global corporation and you can compare it to other big tech businesses. The most apt comparison might be Facebook.

McDonalds serves approximately one percent of the global population on a daily basis. Facebook, by contrast, reaches approximately 25% of the population. The biggest difference between the two, arguably, is that consumers typically have to pay to use the formers services while Facebook monetizes its customers.

Lets imagine a new McDonalds where the food no longer costs money. Like Facebook, all youd have to do is sign up and create a profile. Then, you could either go to a McDonalds location to pick up food or request a delivery.

Every few orders, however, you may be asked to do something simple such as filling out a series of questionnaires similar to those Im not a robot CAPTCHAs where you click on the traffic lights or bicycles.

You might be tasked with ordering via voice or handwriting, so the system can capture your biometric data.

Most of the time, however, youd just get free food for signing up and agreeing to McDonalds terms and conditions.

If this sounds a bit like socialism or communism, just remember: theres no such thing as a free lunch. Whatever data McDonalds could gather would be worth a fortune. Its already a globally recognized brand with more than 38,000 locations in 100 countries.

The reason why so many big tech companies have pivoted to AI is because its a trillionaires market. Anyone can gather data, but only a few organizations have the money and infrastructure to gather data from billions of people at a time and even fewer can ensure theyll keep coming back for more no matter what.

Theres nothing stopping McDonalds from using its burgers and nuggets to achieve the same goals as Facebook does with Candy Crush and conservative conspiracy theories.

The picture starts to come into focus when you consider that Facebook was founded in 2004 and its worth $280 billion while the first McDonalds opened in 1955 and its only worth $170 billion.

Could McDonalds turn feeding the hungry into the next big global data-gathering endeavor? What would you do for a free cheeseburger?

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Artificial intelligence and the McData-fueled future of capitalism - The Next Web

5 Types of Artificial Intelligence that will Shape 2021 and Beyond – Analytics Insight

Posted on June 15, 2021 by Danzig

To dwell more into the future of technology, we have divided artificial intelligence into five types

Every day, researchers are marking new milestones in the technology sphere.Artificial intelligenceis reaching unprecedented heights, taking humankind along with it.Artificial intelligencedefines the ability of machines or models to think and learn from experience. Starting from smart home applications and delivery systems to giantrobotsin factories and robotic surgeon, everything in the digital era is powered byartificial intelligenceand its sub-technologies.

After the technologygot congested with many achievements, researchers divided it into differenttypes of artificial intelligencefor their ease. While some types represent the currentAI-powered modelswe live with, others talk about the future we are headed to. The common and recurring view of the latest breakthrough inartificial intelligenceresearch is that sentiment and intelligent machines orrobotsare just on the horizon. These disruptivetypes of artificial intelligenceare opening the door for two main theories. One is based on the fear of a dystopian future whererobotsbecome arrogant and create an apocalypse and the other one is an optimistic future where humans and machines work together. To dwell more into the future of technology, Analytics Insight has listed fivetypes of artificial intelligence.

Along with the evolution of trends and concepts, human preferences have also changed. Nobody likes a trend from a century ago. However, businesses today are working to attract consumers by providing customized or personalized solutions. In the modern world, businesses finally realized that not everyone has the same taste and peoples likes and dislikes differ. Therefore, they have sought help from technology to create recommendation engines through which companies can engage better with their customers. The recommendations are made following their browsing history, preference, and interests. In the future, all businesses starting from small to big will seek artificial intelligences help to unravel the much-needed customized products.

Similar to customized services, artificial intelligence is making a breakthrough in suggestions, especially to those on social media pages. For example, if you have searched on Google to buy a sofa, then your social media apps like Instagram, Facebook, etc are likely to show a lot of furniture selling sites with sophisticated sofas. The same thing happens with your social media feed. On Instagram, artificial intelligence takes account of your likes and views and determines what posts might steal your eyes. It only shows posts that are similar to your area of interest. Facebook is partnering its feature with a tool called Deep Text, which helps in translating posts from different languages automatically. Twitter is also using a futuristic artificial intelligence algorithm to detect frauds, remove propaganda, and hateful comments on the microblogging platform.

So far, artificial intelligence-powered machines were having a hard time conversing with humans. Most of the robots or AI models were capable of doing either reading or writing or abstracting the content by using speech recognition. However, GPT-3 (Generative Pre-trained Transformer-3) changed the tailwind of human-machine interaction. Developed by OpenAI, the language processing tool trains an AI model to converse with humans, and read and write texts. The mechanism has extended its capabilities from just conversing with humans to doing other things like reading and writing. The company has trained GPT-3 with millions of data, making it capable of understanding everything that humans can when it comes to text and speech analysis.

It all started when humans wanted to create something similar to them. Yes, the whole concept of robots and artificial intelligence was born out of peoples curiosity to make a mechanism that thinks and functions like humans. Unfortunately, we are still at the first step when it comes to achieving that sophistication. Owing to the technological developments, researchers are putting immense efforts to unravel reciprocating machines that can respond to various types of simulations. Even though this oldest form of artificial intelligence system doesnt function through a memory base, it uses its reproductive ability to think like humans. Generally, machines are fed with data. When they are assigned a task, they go through the dataset and find similar tasks and carry out the same. However, instead of using previous experience or dataset, these reciprocating machines respond to the circumstance immediately. Unlike many AI models, this type of artificial intelligence system doesnt learn things and implement them, instead reacts to the situation. Besides, the reciprocating machines cant store their learning experience and use it for future endeavours. Every time, they have to come up with a solution themselves.

The recent developments in artificial intelligence are pointing to a future where machines can have a sixth sense like humans. Humans are the only living beings who fall under this category and experience emotions and get to think. The future of technology will unravel machines, especially, artificial intelligence-powered machines that can show emotions, have beliefs, sort what is right and wrong, think, know the situation, etc. In order to make this a reality, researchers are on their way to implement a multi-dimensional AI development concept called Theory of Mind. By attaching Theory of Mind to machines, they get the ability to understand entities they deal with. It will also unravel a whole new world of human-machine understanding that no one has ever seen.

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How Artificial Intelligence will Transform Businesses in 2021? – Analytics Insight

Posted on June 15, 2021 by Danzig

Every industry is being transformed by Artificial Intelligence owing to its sophisticated capabilities and thorough data analysis. AI may help organizations in a variety of ways. Because AI is a larger technology, its commercial benefits are limitless. AI is capable of controlling corporate process automation as well as accumulating data analysis findings. Many global corporations are leveraging AI to improve employee and customer engagement. This article will discuss how businesses will use AI in the future year. Before delving into the details, lets first go through the fundamentals of Artificial Intelligence.

Artificial Intelligence (AI) is a technology that is closely related to computer science. AI technology employs clever machines to reach human-level intelligence for a variety of jobs. Artificial Intelligence is about training computers to be as efficient as possible. The idea behind AI is to train computers by mimicking human behavior. As a result, the robots perform appropriately, thanks to programming and algorithms.

Emerging technologies are reshaping our daily lives. It seems clear that AI will play a critical role in business transformation in the upcoming years.

Here are some ways how Artificial Intelligence will transform businesses in 2021.

AI-powered microprocessor chips will allow AI-powered apps. These processors will improve the performance of sophisticated software used in games, healthcare, industrial, and finance. Qualcomm is a pioneer in the creation of these processors.

The availability of data has resulted in a significant increase in cyberattacks. Companies are making investments to improve their cybersecurity network. AI will play a critical role in facilitating corporate cybersecurity. Companies reaction times and costs will also be reduced as a result of the technology.

Amazon and Google have already dominated the market for smart, voice-controlled home goods. Apple has entered the fray with its own line of smart speakers. Companies will develop apps to support this voice-based technology in the future.

Companies utilize AI-powered chatbots in corporate communication in todays digital-driven environment. These bots are mostly employed to boost client interaction. Chatbots powered by AI reduces the need for human interaction.

Companies and users have recognized the importance of data. Data creation is experiencing exponential growth. AI-based tools and solutions will assist startups with data analysis, business statistical analysis, and predictive analytics deployment. In 2021, there will be a number of initiatives concentrating on data highways.

Most enterprises are predicted to transform into AI-based businesses by the middle of 2021. The capacity of AI to increase the performance of the network will also be a driving factor in its widespread adoption. AI-powered technologies will assist IT teams in better-securing networks. Artificial Intelligence, using machine learning techniques, finds network faults and corrects them as needed. Furthermore, AI-powered VPN routers will become popular in the near future. Machine learning techniques are used by these routers to prevent data threats and safeguard the system through changed security settings.

Artificial Intelligence appears to be leading us to a beautiful future. Todays technological implementation appears sophisticated, but overall procedures are expected to be easier than ever before. We anticipate significant changes in the AI-powered world, changes that will affect not only the IT business but also other fields that will use computer power.

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Use of Artificial Intelligence in the Research of Quantum Mechanics – Analytics Insight

Posted on June 15, 2021 by Danzig

Searching for different uses of artificial intelligence has always been a successful journey and among its numerous uses, quantum mechanics stands in a vital position. Artificial Intelligence can be used to predict molecular wave functions and the electronic properties of molecules. The behavior of the electron in the molecule can be observed and the data can be fed to AI algorithm, which would further predict the future behaviors of the electrons in the molecules. The researchers of University of Warwick, the Technical University of Berlin and the University of Luxembourg have together come up with such innovative ways of using AI. Using quantum mechanics, the behavior of an electron in a molecule is still described by a wave function, analogous to the behavior in an atom. Just like electrons around isolated atoms, electrons around atoms in molecules are limited to discrete (quantized) energies. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Like an atomic orbital, a molecular orbital is full when it contains two electrons with opposite spin.

In general, artificial intelligence can be used in observing and predicting any consistent common behavior. For example, AI is used in predicting the shopping behavior of people and it is done by observing the way the person shops on a regular basis. In a similar way, AI can be used for predicting the quantum states of molecules, so-called wave functions, which determine all properties of molecules. AI is capable of doing this by learning to solve fundamental equations of quantum mechanics. Doing it in the conventional way requires massive high-performance computing resources, which is typically the bottleneck to the computational design of new purpose-built molecules for medical and industrial applications. However, this newly developed AI algorithm will be able to supply accurate predictions within seconds on a laptop or mobile phone.

Dr. Reinhard Maurer from the Department of Chemistry at the University of Warwick stated while talking about this research, This has been a joint three year effort, which required computer science know-how to develop an artificial intelligence algorithm flexible enough to capture the shape and behavior of wave functions, but also chemistry and physics know-how to process and represent quantum chemical data in a form that is manageable for the algorithm. The research shows that AI methods can efficiently perform the most difficult aspects of quantum molecular simulations. Within the next few years, AI methods will establish themselves as an essential part of the discovery process in computational chemistry and molecular physics. The team has been brought together during an interdisciplinary 3-month fellowship program at IPAM (UCLA) on the subject of machine learning in quantum physics.

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Use of Artificial Intelligence in the Research of Quantum Mechanics - Analytics Insight

Global Wearable Medical Devices Markets Report 2021: Integrating Artificial Intelligence in the Wearable Medical Devices is Gaining Traction -…

Posted on June 15, 2021 by Danzig

DUBLIN, June 15, 2021 /PRNewswire/ -- The "Wearable Medical Devices Global Market Report 2021: COVID-19 Growth and Change to 2030" report has been added to ResearchAndMarkets.com's offering.

The global wearable medical devices market is expected to grow from $8.35 billion in 2020 to $10.28 billion in 2021 at a compound annual growth rate (CAGR) of 23.1%.

Wearable Medical Devices Global Market Report 2021: COVID-19 Growth and Change to 2030 provides the strategists, marketers and senior management with the critical information they need to assess the global wearable medical devices market.

Major players in the wearable medical devices market are Philips, Polar Electro, Omron Corporation, Fitbit Inc., Garmin Ltd., LifeWatch AG (BioTelemetry Inc.), Xiaomi Inc., VitalConnect, Jawbone Inc. and General Electric Co.

The growth is mainly due to the companies resuming their operations and adapting to the new normal while recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges.

The market is expected to reach $24.38 billion in 2025 at a CAGR of 24%.

The wearable medical devices market consists of sales of wearable medical equipment and related services that includes diagnostic devices and therapeutic devices like vital signs, sleep and neuro monitoring devices, electrocardiographs, pain management, and respiratory therapeutic devices among others.

The companies involved in wearable medical devices market design, manufacture and market medical wearables like watches, wristbands, clothing, ear wear and other devices for the applications like Remote Patient Monitoring, Ear wear, Home healthcare, Sports and Fitness which are designed for patient management and life-style disease management like prevention of diseases and maintenance of health with advantages such as weight control and physical activity monitoring.

During the historic period, the rise in mortality rate due to non-communicable diseases with an increasing prevalence of chronic diseases and life-style associated diseases like hypertension and diabetes contributed to the growth of wearable medical devices. Healthcare industry is coming up with newer technologies to overcome this with necessary measures like continuous and remote patient monitoring facilities through wearables which can be worn over the body all-day long for continuous monitoring of the required parameters like vital signs, glucose levels and more.

The wearable medical devices market covered in this report is segmented by device type into diagnostic devices, therapeutic devices. It is also segmented by product type into watch, wristband, clothing, ear wear, other devices, by distribution channel into pharmacies, online channel, hypermarkets and by application into sports and fitness, remote patient monitoring, home healthcare, ear wear.

Integrating artificial intelligence in the wearable medical devices is gaining traction. The data collected by the wearable medical devices lacks value without the integration of artificial intelligence (AI) that better utilizes the data collected. AI doctor which is a standalone network with deep learning algorithm performs well than trained medical practitioners in conditions like skin lesions, electrocardiograms, medical imaging and pathology.

In 2019, Google, a US-based technology company that develops internet-related services and products like search engines, cloud computing, online advertisements, software and more, announced to acquire Fitbit Inc. for $7.35 per share in cash valuing totally to $2.1 billion.

The deal will benefit both the companies by designing and manufacturing innovative wearables by integrating the best hardware, software and artificial intelligence to reach even more people around the globe. Fitbit Inc., a US-based wearables company designs innovative products that track the daily health and fitness of the consumer in the form of smartwatches, activity trackers, wireless headphones and smart scales.

Key Topics Covered:

1. Executive Summary

2. Wearable Medical Devices Market Characteristics

3. Wearable Medical Devices Market Trends and Strategies

4. Impact of COVID-19 on Wearable Medical Devices

5. Wearable Medical Devices Market Size and Growth 5.1. Global Wearable Medical Devices Historic Market, 2015-2020, $ Billion 5.1.1. Drivers of the Market 5.1.2. Restraints on The Market 5.2. Global Wearable Medical Devices Forecast Market, 2020-2025F, 2030F, $ Billion

6. Wearable Medical Devices Market Segmentation 6.1. Global Wearable Medical Devices Market, Segmentation By Device Type, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

6.2. Global Wearable Medical Devices Market, Segmentation By Product Type, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

6.3. Global Wearable Medical Devices Market, Segmentation By Distribution Channel, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

6.4. Global Wearable Medical Devices Market, Segmentation By Application, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

7. Wearable Medical Devices Market Regional and Country Analysis 7.1. Global Wearable Medical Devices Market, Split By Region, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion 7.2. Global Wearable Medical Devices Market, Split By Country, Historic and Forecast, 2015-2020, 2020-2025F, 2030F, $ Billion

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/y81cb6

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

For E.S.T Office Hours Call +1-917-300-0470 For U.S./CAN Toll Free Call +1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1904 Fax (outside U.S.): +353-1-481-1716

SOURCE Research and Markets

http://www.researchandmarkets.com

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Global Wearable Medical Devices Markets Report 2021: Integrating Artificial Intelligence in the Wearable Medical Devices is Gaining Traction -...

RGS welcomes Artificial Intelligence Innovator to training event – Attain News

Posted on June 15, 2021 by Danzig

15th June 2021 The RGS Worcester Family of Schools was delighted to welcome Priya Lakhani OBE, to their latest Apple Regional Training Centre event.

Priya is the Founder CEO of CENTURY Tech, an award-winning Artificial Intelligence (AI) educational technology company that produces intelligent software that each of the RGS schools is currently trialling. Priyas mission is to help teachers across the world remove learning roadblocks so that every student can succeed and she shared her incredible vision for AI in education at this event.

Priya detailed all the advances in technology that are part of the AI systems that Century Tech are building, aiding pupils to develop in their learning. Priya was very focused on the fact that this was not to replace teachers with a computer but to help teachers with quality personalised homework, assessments modules and additional study tools for pupils to reinforce learning outcomes.

Director of Innovation, John Jones commented:

It was incredible to hear about the possibilities afforded by AI in Education from someone with the knowledge and passion of Priya Lakhani. She created Century Tech to improve education and we are proud to be involved in utilising a technology that shows so much promise. This is all about children being able to learn more effectively.

Priya Lakhani OBE, Founder CEO of CENTURY Tech, said:

"I was honoured to be asked by RGS Worcester, an incredibly innovative and exciting school, to share my insights on artificial intelligence and education. AI is having a transformative effect on education, from improving the way that children learn to make teachers lives easier and more productive. Leading schools like RGS Worcester are seizing on the benefits of this technology to offer an even more outstanding education."

Background Info:

Priya was awarded Business Entrepreneur of the Year by the Chancellor in 2009 and Officer of the Order of the British Empire in 2014. In 2018, she co-founded the Institute for Ethical AI in Education and in 2019, Priya was named Economic Innovator of the Year by The Spectator, was a business advisor to the UKs coalition government, and was appointed to the UK governments AI Council in 2019.

The RGS Worcester Regional Training Centre events provide Educational Technology training for teachers across the local community. During the pandemic, these events have been held online and draw a national and even international audience of educators. The hope is to benefit lots of children by reaching teachers in as many forward-thinking schools as possible.

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RGS welcomes Artificial Intelligence Innovator to training event - Attain News

White House partners with NSF to stand up National AI Research Resource Task Force – Federal News Network

Posted on June 15, 2021 by Danzig

President Joe Biden, building off efforts started under the Trump administration, is launching a task force to bring breakthroughs in artificial intelligence into focus.

The White House Office of Science and Technology Policy is working with the National Science Foundation to lead a new National AI Research Resource Task Force.

OSTP and NSF launched the task force last Thursday. Under the 2020 National AI Initiative Act, the task force will look at how to expand access to AI education and other critical resources. The task force includes members from NIST, the Energy Department and top universities.

Lynne Parker, the director of OSTPs National AI Initiative Office, will co-chair the task force along with Erwin Gianchandani, the NSFs deputy assistant director for computer and information science and engineering.

Parker previously served as the deputy U.S. chief technology officer under the Trump administration.

As part of this rollout, OSTP will also create a National AI Advisory Committee, which will provide recommendations on topics that include AI ethics, research and development, and AIs impact on the workforce.

The task force will submit two reports to Congress an interim report in May 2022 and a final report in November 2022.

OSTP Director Eric Lander, who also serves as President Joe Bidens science adviser, applauded the foundational investment in technology leadership.

The National AI Research Resource will expand access to the resources and tools that fuel AI research and development, opening opportunities for bright minds from across America to pursue the next breakthroughs in science and technology, Lander said.

NSF Director Sethuraman Panchanathan said the task force will have an essential role in driving new breakthroughs in AI.

By bringing together the nations foremost experts from academia, industry, and government, we will be able to chart an exciting and compelling path forward, ensuring long-term U.S. competitiveness in all fields of science and engineering and all sectors of our economy, Panchanathan said.

Meanwhile, the Defense Department is moving ahead with its own AI rollout, guided in part by recommendations drafted by National Security Commission on AI in its final report.

David Kumashiro, NSCAIs director for research and analysis, said the commissions 750-page report generally reflects on the need for DoD and the federal government to catch up with the private-sector investments in AI.

AI is going to be ubiquitous across all aspects of military affairs, so I think the right question is, what areas is AI not going to touch? I would challenge folks to really list out, in those terms, where we dont think AI is going to be a critical component, he said last Thursday in a virtual panel hosted by the Center for Autonomy and AI.

The final report urges DoD and the intelligence community to make foundational investments in order to be AI-ready by 2025. That work includes giving DoD personnel greater fluency in digital tools.

AI-ready by 2025 is really just about your baseline digital literacy and access to the tech stack, and software and data that allows you to integrate, Kumashiro said.

To bridge the gap between the warfighter and technologists, the commission recommends standing up AI delivery teams within each combatant command. The Army, Kumashiro added, has made progress by standing up tactical data teams, but added DoD should take a DevOps approach to AI development.

We really should shift this mindset that the technology is going to have this roadmap, milestone chart like traditional acquisition programs, and instead it will be much more much more iterative and require much more involvement with the warfighter to refine where this technology is going, he said.

Success also depends on IT infrastructure that enables collaboration. DoDs Joint AI Center stood up its Joint Common Foundation in March to accelerate testing and adoption of AI tools across the department.

DoD also has stood up platforms such as Platform One for enterprise DevSecOps services, and the Navy supports Black Pearl a group of military, civilian and contractor personnel with experience with software delivery challenges.

We need to start linking them together, we need to start identifying what are those best tech stacks that are out there, stop reinventing that, and really start committing to a few of them. Im not saying Hey, weve all decided on this one. I think as long as youre keeping with good commercial standards and practices of containerized data management, it shouldnt be a problem of linking and networking all of these different platforms into this larger digital ecosystem, Kumashiro said.

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White House partners with NSF to stand up National AI Research Resource Task Force - Federal News Network

Your Future May Lie With an Artificial Intelligence Certificate – The Future of Things

Posted on June 15, 2021 by Danzig

Image by Mudassar Iqbal from Pixabay

There are a lot of ways to start exploring the future, and considering what you want to do with your career could be a good start. If youre not sure, it may be wise to look into options that involve technology. With the growing and expanding nature of technological advances, you can have a lot of opportunities for career development if youre good with technology. But what area of technology should you pick, and why? Here are some things to consider, when youre trying to decide what will truly be right for your needs.

When you look for evidence of artificial intelligence (AI), its pretty easy to find it. From cell phones that have built-in voice assistants, to at-home options like Amazon Alexa, the world of AI is growing. If you want to get in on it from the standpoint of a creator and developer, instead of just an end user, an artificial intelligence online course may be the right option for your needs. Learn to explore the current AI landscape and develop an effective AI strategy for your organization.

The more knowledge you have, the more you can create things that have real value for yourself and the world around you. Thats a big part of the value of an artificial intelligence certificate, since it shows that you have the knowledge and information you need to get started. Youll learn more as you go along, of course, through trial and error, but having the basics down will help you start on a career path that can be a good one for the future. People who are involved in AI creation have plenty to look forward to.

The rapid nature of expansion thats seen in technology means its growing by leaps and bounds. Thats important, since it offers new and better information to the world. It also improves value for everyone who uses and works with it, because it means people can create and use things that wouldnt have been possible even a few short years ago. With an artificial intelligence certificate, you can show that youre on the cutting edge of what technology is doing, and that youre well-prepared to take on a strong career path.

The details matter, and when it comes to the future of AI and technology, the future is very likely going to be found in those details. The specifics of how to create and develop AI arent the only big issues, though. How people use the AI options they have, what kinds of features they want, and the benefits they expect to get are all vital. When youre developing something for a lot of different people to use, it has to work in a number of ways that are beneficial to a big group of people. Its hard to be everything to everyone.

As you consider a career in technology, and whether to get an artificial intelligence certificate, trust yourself and your abilities. Focus on the kinds of things that matter most to you, so you can fully put yourself into the work youre doing. Thats one of the best ways to accomplish something new, and bring innovation and ideas to the world. By learning what you need to know, and then immersing yourself in the process of creation, youll have a better opportunity to develop AI options that can provide real value for the future.

There are a lot of different ways to use AI, and its important that you select an area you like and will enjoy working in. If you dont, you might find that youre not getting things done the way youd hoped, or that your enthusiasm for the task just isnt there. That can be a big problem, especially if youve planned to make it your career. With an artificial intelligence certificate, though, youll have the skills you need to do all kinds of things in that area of technology. You can make career path adjustments if you need to.

Artificial intelligence isnt the only growing field of technology, but its one of the fields that has the most interest in continued development. People are fascinated by robotics, and by the different ways developers can make technology seem real in various ways. If you find a way to engage in that field and enjoy it, the odds are high that there will be a long and interesting career waiting for you. The ideas behind AI arent going away, and theyll only become stronger and more developed as time goes on.

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Your Future May Lie With an Artificial Intelligence Certificate - The Future of Things

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