Profitable innovations on Mobile Stroke Unit Market Growth With Top Key Vendors like LumenVox …

This market research report on the Mobile Stroke Unit market provides in-depth analysis of this market along with forecasts up to 2026. In this latest …

This market research report on the Mobile Stroke Unit market provides in-depth analysis of this market along with forecasts up to 2026. In this latest report from Research N Reports, the industry analysis specialists, the capacity, investment trends, regulations and company profiles of this market are thoroughly studied. This market research report is assembled using facts and figures drawn from proprietary databases, secondary research and in-house analysis of the industry experts.

mobile stroke unit (MSTU) has been witnessing a significant rise. Since, all the diagnostic tools and stroke capability, which need therapeutic treatment at the site of the emergency, are offered by mobile stroke units. These units can also offer thrombolysis pre-hospital setting faster than treatment in the hospital as the on-site treatment crew include vascular neurologist. All these factors, together, is supporting the market substantially.



Top Key Vendors:


LumenVox, Nuance Communications, Telisma S. A., AT&T Corp, Dolby Fusion Speech, Microsoft Tellme



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With their innovative imaging capabilities, mobile stroke units will be able to evade hospital emergency departments and take patients straight to stroke treatment units, operating rooms, neurocritical units, or endovascular suites, which is likely to support the growth of the global mobile stroke units market in the near future. The increasing rate of strokes instances, technological advancements in this domain, such as the usage of telemedicine with mobile stroke units, and government initiatives and funds are also projected to boost this market over the next few years.

This market research report further focuses on the changing trends in the global Mobile Stroke Unit market. Technical developments are anticipated to allow major companies to introduce new Mobile Stroke Unit in the global market, thus opening up the scope of the global market.

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Table Of Content:

Global Mobile Stroke Unit Market Research Report 2019-2025

Chapter 1: Mobile Stroke Unit Market Overview

Chapter 2: Global Economic Impact

Chapter 3: Competition by Manufacturer

Chapter 4: Production, Revenue (Value) by Region (2019-2025)

Chapter 5: Supply (Production), Consumption, Export, Import by Regions (2019-2025)

Chapter 6: Production, Revenue (Value), Price Trend by Type

Chapter 7: Analysis by Application

Chapter 8: Manufacturing Cost Analysis

Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10: Marketing Strategy Analysis, Distributors/Traders

Chapter 11: Mobile Stroke Unit Market Effect Factors Analysis

Chapter 12: Market Forecast (2019-2025)

Chapter 13: Appendix

Browse Full Report Details at https://www.researchnreports.com/medical-devices/Global-Mobile-Stroke-Unit-MSTU-Market-72791

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About Research N Reports:

Research N Reports helps clients harness the power of innovation to thrive on change. We have successfully guided businesses throughout the world with our market research reports. We are uniquely positioned to lead digital transformations, thus creating greater value for clients by presenting growth opportunities in the global market. Our profound experience provides a clear and confident vision to help clients navigate the future. Research N Reports techniques encompasses both qualitative and quantitative modes to provide customized and highly flexible tailored research studies so that you get information that is just the best-fit to make informed strategic organizational decisions. Research N Reports helps clients decode the future to be more successful and innovative.

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Increasing trends in Automatic Speech Recognition Applications market growth with top key …

Increasing trends in Automatic Speech Recognition Applications market growth with top key vendors like LumenVox, Nuance Communications, …

This market research report on the Automatic Speech Recognition Applications market provides in-depth analysis of this market along with forecasts up to 2026. In this latest report from Research N Reports, the industry analysis specialists, the capacity, investment trends, regulations and company profiles of this market are thoroughly studied. This market research report is assembled using facts and figures drawn from proprietary databases, secondary research and in-house analysis of the industry experts.

The growing demand for speech-based biometrics for identification purpose is recognized as a primary driver for this market. The industry is witnessing a tremendous demand for speech recognition applications owing to the increasing incidence of fraud due to the use of text passwords. While regular letter or digit based passwords can be easily memorized and cracked and are a security threat, biometric passwords which replace symbols with the voice of a person are difficult to replicate.



Top Key Vendors:


LumenVox, Nuance Communications, Telisma S. A., AT&T Corp, Dolby Fusion Speech, Microsoft Tellme



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https://www.researchnreports.com/request_sample.php?id=72800

The voice of a person serves as a password and renders authentication and identification. Owing to the securities as mentioned above offered, the ASR applications allow the support of authentication and enrollment of clients by enhancing customer service. This method also reduces the use of the keyboard as the text is no longer used as passwords. These applications thus are expected to drive product demand as it increases efficiency, response time and accuracy of the security systems.

This market research report further focuses on the changing trends in the global Automatic Speech Recognition Applications market. Technical developments are anticipated to allow major companies to introduce new Automatic Speech Recognition Applications in the global market, thus opening up the scope of the global market.

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Table Of Content:

Global Automatic Speech Recognition Applications Market Research Report 2019-2025

Chapter 1: Automatic Speech Recognition Applications Market Overview

Chapter 2: Global Economic Impact

Chapter 3: Competition by Manufacturer

Chapter 4: Production, Revenue (Value) by Region (2019-2025)

Chapter 5: Supply (Production), Consumption, Export, Import by Regions (2019-2025)

Chapter 6: Production, Revenue (Value), Price Trend by Type

Chapter 7: Analysis by Application

Chapter 8: Manufacturing Cost Analysis

Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10: Marketing Strategy Analysis, Distributors/Traders

Chapter 11: Automatic Speech Recognition Applications Market Effect Factors Analysis

Chapter 12: Market Forecast (2019-2025)

Chapter 13: Appendix

Browse Full Report Details at https://www.researchnreports.com/machinery-equipment/Global-Automatic-Speech-Recognition-Applications-Market-72800

If you have any special requirements, please let us know and we will offer you the report as you want.

About Research N Reports:

Research N Reports helps clients harness the power of innovation to thrive on change. We have successfully guided businesses throughout the world with our market research reports. We are uniquely positioned to lead digital transformations, thus creating greater value for clients by presenting growth opportunities in the global market. Our profound experience provides a clear and confident vision to help clients navigate the future. Research N Reports techniques encompasses both qualitative and quantitative modes to provide customized and highly flexible tailored research studies so that you get information that is just the best-fit to make informed strategic organizational decisions. Research N Reports helps clients decode the future to be more successful and innovative.

Contact us:

(Research N Reports)

10916, Gold Point Dr, Houston, TX, Pin – 77064,

Sunny Denis

(Sales Manager),

+1-8886316977,

sales@researchnreports.com

www.researchnreports.com

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It’s time to start thinking about governance of autonomous weapons

Emerging digital technologies open new possibilities to transform the way nations engage in war. In 2018, the U.S. Department of Defense signaled its …

Emerging digital technologies open new possibilities to transform the way nations engage in war. In 2018, the U.S. Department of Defense signaled its commitment to artificial intelligence (AI) with the establishment of the Joint Artificial Intelligence Center (JAIC). It is no surprise that the U.S. is encouraging an AI-focused defense initiative: the technology promises to eliminate dangerous tasks, create more targeted and effective defense systems, and improve operational efficiency in organizations.

Authors

From machine learning intelligence insights to autonomous drones, AI has the potential to significantly improve the goals and tasks of U.S. military operations at almost all levels. The U.S. military is focused on more than just operational gains though—it is keeping pace with growing state investment in AI from major powers such as China and Russia. This shifting landscape reveals a pressing need to develop appropriate governance structures that enhance the benefits and manage the risks of military uses of AI.

Chinese and Russian Investment in AI

In 2017, the State Council in China announced that they plan to be the world leaders in AI by 2030. That same year, Chinese venture capital firms spent $4.9 billion on AI companies, surpassing U.S. firms’ $4.4 billion total. Over the coming decade, the largest state-owned venture capital firm in China is expected to invest more than $30 billion in order to reach its 2030 leadership goal. Similarly, Russia is making significant investments in this area, pouring nearly $719 million into AI research and development in by 2021. As Vladimir Putin stated in 2017, “[AI] is the future, not only for Russia, but for all of humankind.” With this speech, Putin committed Russia to a state-led initiative to develop AI competencies and compete for international superiority.

Even with new Chinese and Russian investments, the U.S. maintains an advantage in the research and development of AI. Recent U.S. investment in AI has been largely driven by the private sector, but with the growing national interest in the emerging technology, the government is positioning itself to play a key role. In 2019, the Trump administration issued an executive order that declares a national interest in “maintaining American leadership in artificial intelligence”, citing the economic, social, and national security benefits of AI. By maintaining technical excellence, the U.S. can use AI as a tool to advance national interests and ideals at a global scale. This executive order, paired with the creation of JAIC and its $208 million in funding, show an effort to challenge Chinese and Russian initiatives to claim superiority in AI.

Governance of autonomous weapons

Although many activists have called for the outright ban of autonomous lethal weapons, a total ban would be difficult to enforce. The integration of AI as a core part of national defense strategies in the U.S., China, Russia, and other nations will also be hard to reverse. Given these circumstances, it is important to consider what meaningful international and domestic governance of autonomous weapons looks like. There are five main areas of focus where regulations could help us capture the benefits of AI in defense and protect against potential harms:

  • Transparency in technology performance to allow for proper oversight and accountability:

    With more robust performance measures around testing, defense agencies could offer a meaningful degree of transparency prior to deploying a technology.
  • Maintaining human-in-the-loop systems that permit human decision making:

    Autonomous systems are subject to failure. Requiring systems that allow for human intervention would preserve human agency with new technology in the case of failures, unexpected actions, or other needs.
  • Hiring and training appropriate personnel to ensure worker competencies:

    Humans engaging with emerging military technology must maintain technical literacy by updating their knowledge relevant to their post.
  • Regulations on technology transfer to prevent malicious use of advanced technology:

    How and with whom we trade weapons becomes increasingly important given the sophistication of emerging technologies. We must consider who should control data, algorithms, and hardware during technology transfer.
  • Strong prioritization of cybersecurity to protect digital intelligence, infrastructure, and services:

    The more we digitize our military systems, the more we expose to cyber vulnerabilities. It is important that the defense agencies continuously maintain the highest established standards for cybersecurity.

These principles for AI deployment in defense could allow us to not only build better accountability and oversight, but also better capture the benefits of AI while reducing unintended harms. Then we could begin asking important outcome-based questions, such as: Does this technology actually mitigate collateral damage? Are we building better national security practices, even with increased potential cyber vulnerabilities? Are humans effectively able to maintain control to make important defense decisions? Through transparency and meaningful discussions, there can be more assurance for the positive impacts of AI in defense.

Amritha Jayanti contributed to this blog post.

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Artificial Intelligence & Machine Learning in Education: Top 5 Companies

IBM Watson combines machine learning, natural language processing, computer vision, data mining, and human/computer interaction to mimic the …
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Edtechcompanies are using artificial intelligence and machine learning to solve manyissues in education. Here we look at different ways some prominent Edtechcompanies are applying these technologies to develop their solutions.

Elemental Path

This is asuper smart company making super smart toys for kids. When Elemental Pathdebuted on Kickstarter in 2016, it was with the help of IBM Watson, whichenabled the company to make toys that kids can communicate with.

IBM Watsoncombines machine learning, natural language processing, computer vision, datamining, and human/computer interaction to mimic the workings of the humanbrain. The toy company, however, has switched to its own proprietarysoftware for its new dino robot, the STEMosaur, that kids can buildand talk to.

Querium Corporation

Queriumuses AI in their company to help students with STEM skills so they can be readyfor further studies at high schools, colleges, and universities.

The Queriumplatform delivers personalized, bite-sized lessons and step-by-step tutoringassistance. Its personalized program is called StepWise and it works onsmartphones and computers.

The companyuses artificial intelligence for STEM (math, engineering, technology, andscience education) applications. The app’s cognitive assistant helps students asthey come across obstacles.

MobyMax

MobyMax isa free web-based learning tool that uses artificial intelligence to create acomplete K-8 differentiated and adaptive curriculum for Math, Language, Vocab,and Fact Fluency. With the help of machine learning algorithms, MobyMaxprovides personalized lessons for each student based on their individual needs.

Machinelearning helps MobyMax to pinpoint and fix learning gaps with adaptive,differentiated learning materials for all K-8 subjects. Students can learn attheir own pace with lesson plans and practice sheets that are automaticallygenerated for them.

MobyMaxgoes one step further and includes contests, certificates, badges, games, anddaily smiles to motivate students and keep them engaged.

The multiaward-winning platform is the most widely adopted Edtech platform in the U.S.

Hubert.ai

Hubert.ai isan award-winning EdTech company from Sweden. Hubert.ai brings something trulyunique to the assessment system in education. The present assessment systemcan’t evaluate important student skills and abilities such as creativity, imagination,ethical reflection, background reasoning and so on. Hubert.ai can.

Hubert.aihas developed a cognitive computing assistant that can take test-taking a stepfurther. The cognitive assistant effectively turns surveys into speaking testsby asking students follow-up questions. This effectively personalizesassessment as well.

Every responseof the student is subjected to a deep learning-based text analytics model thatautomatically categorizes and analyses feedback.

Discovery Education

DiscoveryEducation is a big player in EdTech. The company has established itself as theleading provider of digital curriculum resources, digital content, andprofessional development for K-12 classrooms. Around 5.6 million studentsacross all 50 states and Canada are currently using Discovery Education.

DiscoveryEducation Streaming Plus, the comprehensive digital service supplementinginstruction across all K-12 curricular areas, was recently the winner of theEdTech Digest’s CoolTool Award in the Content Provider Solution category.

DiscoveryEducation Streaming Plus supplements instruction materials for all K–12curricular areas. The supplemental materials include lesson plans,instructional strategies, and other content. Every possible source of contentis available to students including primary source documents, books, tapes,audio files, videos, podcasts, interviews, images and more.

Theseresources add up to a truly dynamic learning environment that engages students.

With theseinnovations, the days of sitting behind a desk and trying to pay attention towhat the teacher is saying are something of the past.

MTSI to Help Army Explore Artificial Intelligence Applications for Aviation

“We will be defining artificial intelligence to include machine learning, natural language processing, expert systems, vision systems, hearing systems, …

Jeff Brody

The U.S. Army has selected Modern Technology Solutions Inc. to examine the potential uses of artificial intelligence in military aviation.

MTSI said Thursday it will help Army Combat Capabilities Development Command determine and classify current and emerging AI platforms for use in automatic target acquisition and intelligent control tasks.

Ben Etheredge, a machine learning subject matter expert at MTSI, said the company and the service will work to study how different AI subcategories can be applied to multidomain operations.

“We will be defining artificial intelligence to include machine learning, natural language processing, expert systems, vision systems, hearing systems, etc. and each of these sub levels can be further decomposed,” said Willie Maddox, manager of MTSI’s Huntsville-based AI laboratory.

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