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Science in the 2010s: Neuroscience – Labmate Online

Over the past decade the pace of neuroscience innovation has continued to accelerate, with scientists harnessing advanced technologies and collaborative Open Science frameworksto pioneer new breakthroughs. Want to look back on the past 10 years? Here are some of the most significant neuroscience discoveries of the 2010s.

2010 saw Argentinian neuroscientist and professor Fernando Nottebohm honoured with the Benjamin Franklin Medal in Life Sciences for proving that neurogenesis does occur in the adult vertebrate brain. The discovery was a serious breakthrough for neuroscience, with member sof the Benjamin Franklin Medal committee praising Nottebohm for "generating a completely new approach to the quest for cures for brain injury and degenerative disease."

In 2012 American scientist Van Wedeen pioneered an award-winning study that revealed the intricate wiring patterns of the human brain. It was one of the first studies to portray the organ as a complex yet systematic grid, as opposed to a disorderly tangle.

In 2014 the FIFA World Cup made more than just sports headlines when Brazilian physician Miguel Nicolelis developed a robotic suit that allowed a quadriplegic teen to kick-off the opening game of the tournament. Nicolelis was later inaugurated as a member of the prestigious Pontifical Academy of Sciences.

Researchers from the University of Manchester kicked off 2016 with a major finding that linked the development of Alzheimers disease to a specific type of virus, as well as two strains of bacteria. The study helped support evidence that the neurodegenerative disease is partly caused by a dormant microbial component, possible triggered by iron dysregulation.

2018 marked a major milestone for neurotechnology, with an open-access studypublished inPLOS One introducing a brain implant system that allows patients paralysed by neurodegenerative disorders to send emails, communicate with others and shop online using brain waves connected to an off-the-shelf Android tablet.

Just weeks before the end of 2019, scientists at the University of North Carolina Health Care discovered a key neural circuit that actively regulates alcohol consumption in animals. The findings were published in the Journal of Neuroscience and offered new insight into the role brain cells play in influencing reward-induced behaviours such as alcohol consumption.

Want to know more about the latest neuroscience breakthroughs? Backed by five years of research, Dementias Platform UK is working to transform the dementia research landscape and accelerate the development of diagnosis and treatments, with some of the most significant advances explored in 'Changing Dementia Horizons: DPUK Progress Outlined.

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Science in the 2010s: Neuroscience - Labmate Online

The Future of the Brain: Implants, Ethics, and AI – Psychology Today

Neuroscience is a humbling enterprise. As a wise person once said, if the human brain were so simple that we could understand it, we would be so simple that we couldnt. But still, we make progress, with implications for medicine, artificial intelligence, education, and philosophy. So what is the future of the study of the brain, and what is the future of the brain itself?

In November, I traveled to Madrid to join about 30 neuroscientists, entrepreneurs, and computer scientists (and a former head of NASA) in a two-day discussion about the future of the brain. (The summit was an iteration of the Future Trends Forum, organized by the nonprofit Fundacion Innovacin Bankinter. The organizers paid for everyones travel.)

The Spanish science writer Pere Estupinya and I were asked to offer commentary during the event. Below is a version of the synthesis (and provocation) I presented.

The discussion followed several themes. First, presenters highlighted ways that computer science is helping neuroscience. Alex Fornito, a cognitive neuroscientist at Monash University, in Australia, scans brains using diffusion MRI, which tracks water molecules to trace anatomical connectivity. He then uses algorithms to segment the brain into different regions, forming a network of nodes and the links between them. Using network analysis, he can identify the particular dysfunctions of ADHD, schizophrenia, and Alzheimers disease.

Sean Hill, a neuroscientist at the University of Toronto, scans microcircuits in mouse brains and creates digital reconstructions, allowing him to model network oscillations. He also uses high-resolution scans of entire mouse brains to predict the locations of synapses across the brain. Other researchers talked about using computers to interpret signals from EEG electrodes, body sensors, and brain implants.

Several people talked about going the other way, using neuroscience to improve AI. Evena child can solve problemsa supercomputer cant while expending much less energy. Can we reverse engineer some of biologys tricks?

Fornito talked about tradeoffs between time, space, and material. Some network modules conserve space and material by placing neurons near each other, while hubs that integrate information use thick, fast connections that conserve time at the expense of space and material. Antonio Damasio, a neuroscientist at the University of Southern California, impressed on us the abilities of organisms that dont even have a central nervous system. Merely maintaining homeostasis is a feat. Speaking of robots, he said that if we gave them soft bodies and made them vulnerable, they might develop feelings and self-regulation.

Rodrigo Quian, a bioengineer at the University of Leicester, discussed his discovery of Jennifer Aniston neurons, cells that respond selectively to a particular person (such as Jennifer Aniston), whether someone sees a picture, a drawing, or just a name. More broadly, he spoke of concept cells and noted that humans are flexible and efficient thinkersunlike many AI agentsbecause we can abstract from experience without being beholden to the details.

Third, many people discussed ethics. Walter Greenleaf, a neuroscientistat Stanford, asked if gene editing would diminish neurodiversity.David Bueno, a geneticist at the University of Barcelona, said we might tailor peoples educations based on their brains, but raised the possibility of inequality in cognitive enhancement. He also noted that wide monitoring of brain activity could invade privacy.

Amanda Pustilnik, a lawyer at the University of Maryland, said someones brain data might alert him when hes about to have a manic attack, but it could also go to a data broker, and hell start seeing ads for online gambling. Or it could make its way to an employer. We need a NINA, or Neuroscience Information Nondiscrimination Act, she said. Pustilnik also argued that neurotechnology should promote autonomy, rather than a deterministic identification with our brains.

Others noted neuroscientific implications for identity. Ng Wai Hoe, a neurosurgeon at the National Neuroscience Institute in Singapore, asked what we should conclude about a persons criminality based on a brain scan. And Jose Carmena, an electrical engineer at the University of California, Berkeley, said that some people with deep brain stimulators for Parkinsons disease or epilepsy say their sense of self is different when the stimulator is on.

A few of the questions I (and others) raised at the forum: Will neurotech and AI provide the greatest benefits to people at the top or the bottom of the socioeconomic hierarchy? Will learning about the brain actually have an impact on how we see ourselves orfree will? How can we reduce bias in medical data? What other principles of biology can be applied to make thinking machines smarter?

Our understanding of the brain is growing quickly, thanks in part to new tools for studying it. Perhaps the biggest revelation is how much more is left to learn.

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The Future of the Brain: Implants, Ethics, and AI - Psychology Today

Automatic Speech Recognition Software Market Innovative Report Growth Impact over the Forecast Year 2020-2029: Google, Baidu, Inc. – Neptune Pine

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The research study provided by Marketresearch.biz on Global Automatic Speech Recognition Software Industry offersvital evaluation of Automatic Speech Recognition Software Market. The business report focuses on the growth opportunities, which will assist the market to expand operations in the existing markets.

Next, in Automatic Speech Recognition Software industry report, you will find the competitive scenario of the significant market players concentrating on their sales revenue, company profile, customer demands, import/export scenario, business strategies that will help the emerging market segments in making major business decisions. The Global Automatic Speech Recognition Software Market contains the ability to become one of the most lucrative industries as factors related to this market such as raw material affluence, financial stability, trading policies, technological development, and increasing demand are boosting the market growth. Therefore, the market is expected to see higher growth in the near future and greater CAGR during the forecast period from 2020 to 2029.

Leading Automatic Speech Recognition Software Industry Players Served In This Report Are:Google, Baidu, Inc., Facebook, com, Inc., Advanced Voice Recognition Systems, Inc., Apple Inc., IBM, Microsoft, Brianasoft, Voicebox Technologies Corporation, Fulcrum Biometrics, LLC., Neurotechnology, M2SYS Technology Kernell Inc., Sensory Inc., VoiceBase, Inc., Auraya, VoiceTrust, Nuance Communications, Inc., Raytheon Company

The following years taken into consideration in this research to forecast the global Automatic Speech Recognition Software market size are as follows:

Base Year: 2019 | Estimated Year: 2020 | Forecast Year: 2020 to 2029

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Global Automatic Speech Recognition Software Market: Competitive Landscape

The market analysis examination involves an area exclusively committed for major players in the Global Automatic Speech Recognition Software Market wherein our analysts provide an insight into the financial statements of all the major players along with its key developments product benchmarking and SWOT analysis. The organization profile area additionally incorporates a business review and monetary data. The companies that are provided in this section can be customized according to the customers necessities.

Global Automatic Speech Recognition Software Market: Scope of the Report

This intelligent report provides an all-inclusive environment of the analysis for the Global Automatic Speech Recognition Software Market. The market estimates provided in the report are the result of in-depth secondary research, primary interviews, and in-house expert reviews. These market estimates have been considered by studying the impact of various social, political and financial factors along with the current market dynamics influencing the Global Automatic Speech Recognition Software Market growth.

Along with the market outline, which comprises of the market dynamics the chapter includes Porters Five Forces analysis which explains the five forces: namely buyers bargaining power, suppliers bargaining power, the threat of new entrants, the threat of substitutes, and degree of competition in the Global Automatic Speech Recognition Software Market. It explains the various participants, such as framework integrators, intermediaries and end-users inside the environment of the market. The report also focuses on the competitive landscape of the Global Automatic Speech Recognition Software Market.

Market Segmentation Based on type, technology, deployment application, and region:

By Product TypeNaturally Processed LanguageDirected Dialogue Conversation

By TechnologySpeech RecognitionVoice Recognition

By Deployment:On-cloudOn-premise

By Application:HealthcareIT and TelecommunicationsAutomotiveBFSIGovernmentLegalRetailTravel and Hospitality

Topographical Regional Analysis: GlobalAutomatic Speech Recognition Software Market

1. North America (United States, Canada)

2. Europe (Germany, Spain, France, UK, Russia, and Italy)

3. Asia-Pacific (China, Japan, India, Australia, and South Korea)

4. Latin America (Brazil, Mexico, etc.)

5. The Middle East and Africa (GCC and South Africa)

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This study will address some of the most critical questions which are listed below:

What is the market size of the Automatic Speech Recognition Software Market at the global level?

Which mode of distribution channel is most preferred by the manufacturers of Automatic Speech Recognition Software?

Which is the preferred age group for targeting Automatic Speech Recognition Software for manufacturers?

What the key factors driving, inhibiting the growth of the market, and what is the degree of impact of the drivers and restraints?

What is the impact of the regulations on the growth of the Automatic Speech Recognition Software Market?

Which is the leading region/country for the growth of the market? What is the anticipated growth rate of the leading regions during the forecast period?

How are the emerging markets for Automatic Speech Recognition Software expected to perform in the coming years? How is the consumption pattern expected to evolve in the future?

Who are the major players operating in the global Automatic Speech Recognition Software Market? What is the current market position of the key players? Who are the emerging players in this industry?

Who are the major distributors, traders, and dealers operating in the Automatic Speech Recognition Software Market?

TABLE OF CONTENTS

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: RESEARCH METHODOLOGY

PART 04: Global Automatic Speech Recognition Software MARKET LANDSCAPE

Market Entropy

Market segmentation analysis

Market characteristics

PART 06: Global Automatic Speech Recognition Software MARKET SIZING

Market definition

Market size and forecast

Market sizing

PART 07: Global Automatic Speech Recognition Software MARKET SEGMENTATION

Segmentation

Market opportunity

Comparison

PART 08: CUSTOMER LANDSCAPE

PART 10: DECISION FRAMEWORK

PART 09: REGIONAL LANDSCAPE

PART 11: MARKET DYNAMICS: DRIVERS, TRENDS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES

CONTINUE

The conclusion part of their report centers around the existing competitive analysis of the market. We have included some helpful insights for both industries and clients. All leading manufacturers included in Automatic Speech Recognition Software report take care of expanding operations in regions. Here, we express our acknowledgment for the support and assistance from the Automatic Speech Recognition Software industry experts and publicizing engineers as well as the examination groups survey and conventions. Market rate, volume, income, demand and supply data are also examined.

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Automatic Speech Recognition Software Market Innovative Report Growth Impact over the Forecast Year 2020-2029: Google, Baidu, Inc. - Neptune Pine

Neurotechnology Market Trends, Key Players, Overview, Competitive Breakdown and Regional Forecast by 2025 – Filmi Baba

Neurotechnology Market research report 2019 gives detailed information of major players like manufacturers, suppliers, distributors, traders, customers, investors and etc. Neurotechnology market Report presents a professional and deep analysis on the present state of Neurotechnology Market that Includes major types, major applications, Data type include capacity, production, market share, price, revenue, cost, gross, gross margin, growth rate, consumption, import, export and etc. Industry chain, manufacturing process, cost structure, marketing channel are also analyzed in this report.The growth trajectory of the Global Neurotechnology Market over the assessment period is shaped by several prevalent and emerging regional and global trends, a granular assessment of which is offered in the report. The study on analyzing the global Neurotechnology Market dynamics takes a critical look at the business regulatory framework, technological advances in associated industries, and the strategic avenues.

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Prominent Manufacturers in Neurotechnology Market includes General ElectricSiemens HealthcareKoninklijke PhilipsToshiba MedicalShimadzuHitachi MedicalElektaTristan TechnologiesAllengers MedicalNatus MedicalMagstim

Market Segment by Product Types Imaging ModalitiesNeurostimulationCranial Surface MeasurementNeurological ImplantsOthers

Market Segment by Applications/End Users HospitalsClinicsDiagnostic CentersAmbulatory Surgical Centers

In order to identify growth opportunities in the market, the report has been segmented into regions that are growing faster than the overall market. These regions have been potholed against the areas that have been showing a slower growth rate than the market over the global. Each geographic segment of the Neurotechnology market has been independently surveyed along with pricing, distribution and demand data for geographic market notably: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa).

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Additionally, the complete value chain and downstream and upstream essentials are scrutinized in this report. Essential trends like globalization, growth progress boost fragmentation regulation & ecological concerns. Factors in relation to products like the products prototype, manufacturing method, and R&D development stage are well-explained in the global Neurotechnology market research report with point-to-point structure and with flowcharts. It offers a comparative study between conventional and emerging technologies and the importance of technical developments in this market. At last, the market landscape and its growth prospects over the coming years have been added in the research.

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The Questions Answered by Neurotechnology Market Report: What are the Key Manufacturers, raw material suppliers, equipment suppliers, end users, traders and distributors in Neurotechnology Market? What are Growth factors influencing Neurotechnology Market Growth? What are production processes, major issues, and solutions to mitigate the development risk? What is the Contribution from Regional Manufacturers? What are the Neurotechnology Market opportunities and threats faced by the vendors in the global Neurotechnology Industry? What are the Key Market segments, market potential, influential trends, and the challenges that the market is facing?And Many More

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Neurotechnology Market Trends, Key Players, Overview, Competitive Breakdown and Regional Forecast by 2025 - Filmi Baba

Parents Pay Thousands for Brain Training to Help Kids With ADHD and Autism. But Does It Work? – NBC Southern California

There is a fast-growing industry thats based on the premise that targeted games and exercises can rewire the brain to boost memory, sharpen thinking or decrease the challenges associated with anxiety, autism, ADHD and other disorders, NBC News reports. Brick-and-mortar training centers like Brain Balance Achievement Centers and LearningRx are just one piece of a $2 billion global brain technology market that is increasingly going around the medical industry and marketing directly to consumers.

But the premise behind the programs has faced significant criticism from doctors and scientists who warn that some are making dubious claims. These personalized programs can cost $12,000 or more for six months of training, three days a week. Families have gone into debt or turned tocrowdfunding sitesto pay for them.

Theyre selling hope, said Eric Rossen, the director of professional development and standards for the National Association of School Psychologists. These organizations are not necessarily predatory, but they are definitely there and almost chasing the parents who are desperate, who are overwhelmed and who feel that they have no recourse.

News from around the country and around the globe

As the number of children diagnosed withADHDandautismsurges in the U.S., according to federal data, and as parents become exasperated with treatments that dont work or involve medications that carry the risk of side effects, neurotechnology industry analysts predict the demand for programs like these will only grow.

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Parents Pay Thousands for Brain Training to Help Kids With ADHD and Autism. But Does It Work? - NBC Southern California

Neurotechnology startup NextMind unveils world’s first brain-sensing wearable that delivers real-time device control with just your thoughts -…

Nextmind, a Paris based neuro technology startup developing the next generation of brain computer interfaces, today unveiled the worlds first brain-sensing wearable that delivers real-time device control using just a persons thoughts at Slush 2019. This groundbreaking technology is a first-of-its-kind, noninvasive, brain-computer interface that translates brain signals instantly from the users visual cortex into digital commands for any device in real time.

Founded in 2017 byGwendal Kerdavid and Sid Kouider,NextMinds groundbreaking technology, based on proven scientific research conducted over the past 20 years, translates brain signals from the visual cortex into digital commands in real time, enabling easier interaction and control of computers, AR/VR headsets or any device.

This technology breakthrough represents the next frontier of human-computer interaction and we are truly humbled to be here today introducing NextMind to the world, said Kouider. For those who have said it would never be possible with noninvasive technology to communicate intent and implement actions directly from our brain to the world around us, its time to believe because this is real, and the possibilities are truly endless.

The small, light-weight, round device fits into the back of a cap or headband, and rests gently on the users head. It captures data from the electrical signals created by the users neuron activity in the visual cortex, and using machine learning algorithms, transforms that output into communication that enables easier interaction and control with a computer, AR/VR headset or any device within the Internet of Things.

According to Kouider, a limited number of NextMind Development Kits will ship during the first half of 2020. A Dev Kit pre-order announcement is anticipated in January. Developers interested in receiving special advance notice about placing orders can sign up at http://www.next-mind.com/waitlist.

NextMind will allow the public to try its remarkable new brain-sensing wearable at CES 2020 in booth #21839 in LVCC, South Hall 1 from Jan. 7-10. Press will have early access to personal demonstrations at CES Unveiled Las Vegas on Jan. 5.

You can see NextMind in action in the video below.

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Neurotechnology startup NextMind unveils world's first brain-sensing wearable that delivers real-time device control with just your thoughts -...

Neurotechnology Market Poised to Expand at a Robust Pace Over 2017 2025 – Crypto Journal

Persistence Market Research recently published a market study that provides analytical insights related to the overall prospects of the Neurotechnology Market during the forecast period 2017 2025. The report aims to assist business players, stakeholders, and investors to improve their standing in the current market landscape and gain a competitive edge over their competitors. The presented study evaluates the major trends, opportunities, drivers, and challenges that are expected to impact the growth of the Neurotechnology Market in the upcoming years.

The report reveals that the Neurotechnology Market is expected to register a CAGR growth of ~XX% during the forecast period and surpass the value of ~US$XX by the end of 2017 2025. Some of the leading factors that are expected to drive the growth of the market include, rising investments for research and development, the advent of cutting-edge technology, and favorable government policies in certain regions.

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Essential Findings of the Report:

The data enclosed in the report such as the Year-on-Year (Y-o-Y) market growth, supply chain analysis, value chain analysis and more will enable readers to assess the quantitative aspects of the Neurotechnology Market with clarity. The presented study is a vital asset for stakeholders, investors, and market players involved in the Neurotechnology Market who can leverage the information in the report to develop effective business strategies.

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Key Players

Some of the market participants in the global neurotechnology market are General Electric Company, Siemens Healthcare Private Limited, Koninklijke Philips N.V., Toshiba Medical Systems Corporation, Shimadzu Corporation, Hitachi Medical Corporation, Elekta AB, Tristan Technologies, Inc., allengers, Natus Medical Incorporated, and Magstim. The market of neurotechnology has witnessed consolidation among the key players such as collaboration, partnership, patent transfer, increasing research and development activities, product introduction, mergers and acquisition, and joint ventures among the international as well as domestic players are the distinctive trend of competition in the neurotechnology market.

The report clarifies the following doubts related to the Neurotechnology Market:

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Persistence Market Research (PMR) is a third-platform research firm. Our research model is a unique collaboration of data analytics and market research methodology to help businesses achieve optimal performance.

To support companies in overcoming complex business challenges, we follow a multi-disciplinary approach. At PMR, we unite various data streams from multi-dimensional sources. By deploying real-time data collection, big data, and customer experience analytics, we deliver business intelligence for organizations of all sizes.

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Neurotechnology Market Poised to Expand at a Robust Pace Over 2017 2025 - Crypto Journal

NextMind Unveils World’s First Brain-Sensing Wearable That Delivers Real-Time Device Control With Just Your Thoughts – Business Wire

HELSINKI--(BUSINESS WIRE)--Sid Kouider, founder and CEO of NextMind, a fast-growing neurotechnology startup, today unveiled the world's first brain-sensing wearable that delivers real-time device control using just a person's thoughts at Slush 2019. This groundbreaking technology is a first-of-its-kind, noninvasive, brain-computer interface that translates brain signals instantly from the user's visual cortex into digital commands for any device in real time.

"This technology breakthrough represents the next frontier of human-computer interaction and we are truly humbled to be here today introducing NextMind to the world," said Kouider. "For those who have said it would never be possible with noninvasive technology to communicate intent and implement actions directly from our brain to the world around us, it's time to believe - because this is real, and the possibilities are truly endless."

The small, light-weight, round device fits into the back of a cap or headband, and rests gently on the user's head. It captures data from the electrical signals created by the user's neuron activity in the visual cortex, and using machine learning algorithms, transforms that output into communication that enables easier interaction and control with a computer, AR/VR headset or any device within the Internet of Things.

According to Kouider, a limited number of NextMind Development Kits will ship during the first half of 2020. A Dev Kit pre-order announcement is anticipated in January. Developers interested in receiving special advance notice about placing orders can sign up at http://www.next-mind.com/waitlist.

NextMind will allow the public to try its remarkable new brain-sensing wearable at CES 2020 in booth #21839 in LVCC, South Hall 1 from Jan. 7-10. Press will have early access to personal demonstrations at CES Unveiled Las Vegas on Jan. 5.

About NextMind

NextMind is a fast-growing tech startup that has developed a first-of-its-kind, brain-sensing wearable that delivers real-time device control using just a person's thoughts. NextMind's groundbreaking technology, based on proven scientific research conducted over the past 20 years, translates brain signals from the visual cortex into digital commands in real time, enabling easier interaction and control of computers, AR/VR headsets or any device. For more information, visit next-mind.com and follow us on Twitter, YouTube, Facebook and LinkedIn.

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NextMind Unveils World's First Brain-Sensing Wearable That Delivers Real-Time Device Control With Just Your Thoughts - Business Wire

Holiday Stress Is Real! More Than One-Third Of Those In U.S. Would Skip The Holiday Season This Year! – P&T Community

SAN FRANCISCO, Nov. 25, 2019 /PRNewswire/ -- As the holiday season kicks-off this week, new research shows that if given the opportunity, more than one-third (39.9%) of Americanswouldskip the holiday season this year due to the stress associated with it. Additionally, more than one-third of 18-34 year-olds are getting stressed about the holidays earlier than in previous years - according to a new survey announced by Total Brain, a mental health and fitness app.

These statistics are based on new findings from the 2019 Total Brain survey of 1,000 Americans 18-55+ years old. Other results from the survey include:

"Our research shows that Americans are under considerable stress as we embark on the upcoming holiday season. With that, it's critical that people take time to support their overall mental well-being," said Louis Gagnon, CEO of Total Brain. "The mental fitness exercises offered on Total Brain's platform give people a way to reduce their worry and anxiety so they can de-stress and truly enjoy the holidays."

Total Brain offers an easy-to-use app to help people measure and optimize brain capacities, improve productivity and screen for risk of possible mental conditions. It has been used more than 16 million times and helps reduce stress through personalized brain trainings, featuring exercises and content to help users consolidate their mental strengths and master their weaknesses.

Survey Methodology: Based on a 2019 study conducted by Total Brain and The PARAGRAPH Project among a representative general population sample of 1,000 people age 18+.

About Total Brain: Total Brain Limited (ASX: TTB) is aSan Francisco, U.S. and Sydney, AUS based company that has developed and sells Total Brain, a mental health and fitness platform powered by neurotechnology, with over 700,000 registered users. Its SaaS platform helps people scientifically measure and optimize their brain capacities while managing the risk of common mental conditions. Benefits for employers and payers acrossthe United States include productivity improvement and healthcare cost reduction. Follow us onTwitter,LinkedInandFacebook.

Media Contact: Total Brain Jenn Goonan Jenn@rocketsocialimpact.com 617-947-0971

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Holiday Stress Is Real! More Than One-Third Of Those In U.S. Would Skip The Holiday Season This Year! - P&T Community

Fingerprint Biometrics in VAR Market Analysis by Key Players, Types, Applications and Growth Opportunities to 2025 – The Denton Chronicle

The Global Fingerprint Biometrics in VAR Market report provides information by Top Players, Geography, End users, Applications, Competitor analysis, Sales, Revenue, Price, Gross Margin, Market Share, Import-Export, Trends and Forecast.

Initially, the report provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Fingerprint Biometrics in VAR market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status.

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2018 Global Fingerprint Biometrics in VAR Market Report is a professional and in-depth research report on the worlds major regional market conditions of the Fingerprint Biometrics in VAR industry, focusing on the main regions and the main countries (United States, Europe, Japan and China).

Global Fingerprint Biometrics in VAR market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer.

Major players profiled in the report are Fulcrum Biometrics, Delaney Secure, Neurotechnology, 360 Biometrics, AKSA Solution Development, AutoStar Technologies, Bayometric, Bromba Biometrics, California Peripherals and Components, Digital Data Systems, DYDEX-HS, Eyenetwatch.

On the basis of products, report split into,Fingerprint Biometrics in VAR.

On the basis of the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate for each application, includingGovernment Organizations, Large Enterprises, SMEs.

The report introduces Fingerprint Biometrics in VAR basic information including definition, classification, application, industry chain structure, industry overview, policy analysis, and news analysis. Insightful predictions for the Fingerprint Biometrics in VAR market for the coming few years have also been included in the report.

Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins.

The report focuses on global major leading Fingerprint Biometrics in VAR Market players providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. Upstream raw materials and equipment and downstream demand analysis is also carried out.

The Fingerprint Biometrics in VAR industry development trends and marketing channels are analyzed. Finally the feasibility of new investment projects are assessed and overall research conclusions offered.

Table of Contents

1 Fingerprint Biometrics in VAR Market Overview

2 Global Fingerprint Biometrics in VAR Market Competition by Manufacturers

3 Global Fingerprint Biometrics in VAR Capacity, Production, Revenue (Value) by Region (2013-2018)

4 Global Fingerprint Biometrics in VAR Supply (Production), Consumption, Export, Import by Region (2013-2018)

5 Global Fingerprint Biometrics in VAR Production, Revenue (Value), Price Trend by Type

6 Global Fingerprint Biometrics in VAR Market Analysis by Application

7 Global Fingerprint Biometrics in VAR Manufacturers Profiles/Analysis

8 Fingerprint Biometrics in VAR Manufacturing Cost Analysis

9 Industrial Chain, Sourcing Strategy and Downstream Buyers

10 Marketing Strategy Analysis, Distributors/Traders

11 Market Effect Factors Analysis

12 Global Fingerprint Biometrics in VAR Market Forecast (2018-2025)

13 Research Findings and Conclusion

14 Appendix

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Fingerprint Biometrics in VAR Market Analysis by Key Players, Types, Applications and Growth Opportunities to 2025 - The Denton Chronicle

DARPA aims to develop next-generation of mind-controlled tech for US soldiers – Stock Daily Dish

DARPA aims to develop next-generation of mind-controlled tech for US soldiers The Pentagon has been recruiting teams to develop neural interfaces which will allow humans to control machines with their minds, in a combination of telekinesis and artificial intelligence.

The Defense Advanced Research Projects Agency (DARPA) has requested proposals for next-generation neurotechnology to help bolster its pre-existing neural interface research.

Existing neural interfaces have been used to allow humans to control prosthetic limbs, reproduce thoughts as text and even fly drones with their minds. By combining these types of technologies, DARPA is hoping to augment and improve their capabilities, making the systems more efficient and effective.

One particular issue the agency is hoping to overcome centers around the brains constant loss and regeneration of neurons; neural interface technology must hone in on specific sections of the brain to function and, due to this cycle of loss and regrowth, current systems require near-constant recalibration.

DARPA is hoping that AI might be able to anticipate these neuronal changes and recalibrate systems automatically, allowing for continuous use.

The other main issue that DARPA is looking to solve is to reduce the noise of sensory information sent to the brain from nerves throughout the human pilots body.

Teams working on this project will be required to build an AI-powered interface capable of stimulating nerves within the body to send artificial signals, such as burning or a sense of touch without physical with a stimulus, to maximise information content along the bodys major nerves.

Teams hoping to win a DARPA contract, worth up to $1 million, have until March 5 to apply and will have 18 months to produce a prototype according to a post by the .

All told, DARPA is planning to invest $2 billion over the next five years to advance so-called third wave AI projects.

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DARPA aims to develop next-generation of mind-controlled tech for US soldiers - Stock Daily Dish

Researchers use 7T MR to create highest resolution brain scan ever – DOTmed HealthCare Business News

Researchers at Massachusetts General Hospital have completed the highest resolution MR scan of an entire human brain to date, producing images 1,000 times more detailed than those of a standard clinical MR system.

The 100 micron resolution scan, acquired on a 7-Tesla system, is expected to provide greater insights into the structure of the brain and connections between different parts, while offering a greater understanding of the biology of neurological disorders such as traumatic brain injury and Alzheimers disease. The teams hope to eventually use the approach to form ultra-high resolution imaging techniques for use in living subjects.

We envision a future in which ex vivo MR and optical images at micron-scale resolution are precisely co-registered to histopathological data and in vivo MR data, Brian L. Edlow, first author of the paper, associate director of the MGH Center for Neurotechnology and Neurorecovery (CNTR), and director of the Laboratory for NeuroImaging of Coma and Consciousness (NICC), said in a statement. This fully integrated analysis pipeline will open up a new world of opportunities to investigate the pathophysiological basis of neurological disorders, and ultimately, will usher in a new era of pharmacologic, electrophysiologic, and neuromodulatory therapies.

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The group released the actual scan of the donated brain in June, along with underlying data that points to the potential for additional applications with this type of scan information. One of the co-authors, for instance, integrated the data into a software platform called Lead DBS to enable neurologists and neurosurgeons to improve the therapeutic outcome of deep brain stimulation electrode placement for disorders such as Parkinsons disease and obsessive compulsive disorder. Another group, the Fiber Tractrography Lab at University of Pittsburgh, integrated the data with 3-D tractography data to show axonal pathways for mapping connectivity within the human brain. The information has also been integrated with a neuroanatomy atlas at Unochapec University in Brazil.

The project has been in the works for ten years, and involved the help of neuroscientists, neurologists, MR physicists, engineers, computer scientists and anatomists. It also required the construction of 32 custom radiofrequency coils to reach the maximum resolution that was possible. All were positioned securely around the brain in a way that prevented them from interfering with one another.

This unique dataset has a broad range of investigational, educational and clinical applications that will advance understanding of human brain anatomy in health and disease, said Edlow.

The findings were published in the journal, Scientific Data.

MGH did not respond for comment.

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Researchers use 7T MR to create highest resolution brain scan ever - DOTmed HealthCare Business News

Stryker reports third quarter 2019 operating results – BioSpace

Kalamazoo, Michigan, Oct. 29, 2019 (GLOBE NEWSWIRE) -- Stryker (NYSE:SYK) reported operating results for the third quarter of 2019:

Third Quarter Highlights

"We delivered another strong quarter of results, with organic sales growth of 8.6% and adjusted EPS growth of 13%," said Kevin A. Lobo, Chairman and Chief Executive Officer. "We expect this momentum to continue, which positions us well to deliver above the high end of our initial guidance range for both organic sales and adjusted EPS."

Sales Analysis

Consolidated net sales of $3.6 billion increased 10.6% in the quarter and 11.5% in constant currency. Organic net sales increased 8.6% in the quarter including 9.3% from increased unit volume partially offset by 0.7% from lower prices.

Orthopaedics net sales of $1.3 billion increased 7.8% in the quarter and 8.8% in constant currency. Organic net sales increased 8.8% in the quarter including 10.1% from increased unit volume partially offset by 1.3% from lower prices.

MedSurg net sales of $1.6 billion increased 9.2% in the quarter and 10.0% in constant currency. Organic net sales increased 8.8% in the quarter including 9.2% from increased unit volume partially offset by 0.4% from lower prices.

Neurotechnology and Spine net sales of $0.7 billion increased 19.4% in the quarter and 20.2% in constant currency. Organic net sales increased 7.6% in the quarter including 7.8% from increased unit volume partially offset by 0.2% from lower prices.

Earnings Analysis

Reported net earnings of $466 million decreased 21.0% in the quarter. Reported net earnings per diluted share of $1.23 decreased 20.6% in the quarter. Reported gross profit margin and reported operating income margin were 65.0% and 17.5% in the quarter. Adjusted gross profit margin(1) and adjusted operating income margin(1) were 65.7% and 25.4%, an improvement of 50 basis points in the quarter. Adjusted net earnings(1) of $725 million increased 12.8% in the quarter. Adjusted net earnings per diluted share(1) of $1.91 increased 13.0% in the quarter.

2019 Outlook

Based on our performance to date and anticipated strength in the remainder of the year, we now expect 2019 organic net sales growth to be toward the higher end of our previously guided range of 7.5% to 8.0% and expect adjusted net earnings per diluted share(2) to be in the range of $8.20 to $8.25. For the fourth quarter we expect adjusted net earnings per diluted share(2) to be in the range of $2.43 to $2.48. If foreign currency exchange rates hold near current levels, we expect net sales in the fourth quarter and full year will be negatively impacted by approximately 1.0%, and net earnings per diluted share will be negatively impacted by approximately $0.02 in the fourth quarter and $0.15 in the full year.

(1) A reconciliation of the non-GAAP financial measures: adjusted gross profit margin, adjusted operating income and adjusted operating income margin, adjusted net earnings and adjusted net earnings per diluted share, to the most directly comparable GAAP measures: gross profit margin, operating income and operating income margin, net earnings and net earnings per diluted share, and other important information accompanies this press release.

(2) We are unable to present a quantitative reconciliation of our expected net earnings per diluted share to expected adjusted net earnings per diluted share as we are unable to predict with reasonable certainty and without unreasonable effort the impact and timing of restructuring-related and other charges, acquisition-related expenses and fair value adjustments to inventory and the outcome of certain regulatory, legal and tax matters. The financial impact of these items is uncertain and is dependent on various factors, including timing, and could be material to our Consolidated Statements of Earnings.

Conference Call on Tuesday, October29, 2019

As previously announced, Stryker will host a conference call on Tuesday, October29, 2019 at 4:30 p.m., Eastern Time, to discuss the company's operating results for the quarter ended September30, 2019 and provide an operational update.

To participate in the conference call dial (877) 702-4565 (domestic) or (647) 689-5532 (international) and be prepared to provide conference ID number 6039299 to the operator.

A simultaneous webcast of the call will be accessible via the company's website at http://www.stryker.com. The call will be archived on the Investor Relations page of this site.

A recording of the call will also be available from 8:00 p.m., Eastern Time, on Tuesday, October29, 2019, until 11:59 p.m., Eastern Time, on Tuesday, November 5, 2019. To hear this recording, you may dial (800) 585-8367 (domestic) or (416) 621-4642 (international) and enter conference ID number 6039299.

Caution Concerning Forward-Looking Statements

This press release contains information that includes or is based on forward-looking statements within the meaning of the federal securities laws that are subject to various risks and uncertainties that could cause our actual results to differ materially from those expressed or implied in such statements. Such factors include, but are not limited to: weakening of economic conditions that could adversely affect the level of demand for our products; pricing pressures generally, including cost-containment measures that could adversely affect the price of or demand for our products; changes in foreign exchange markets; legislative and regulatory actions; unanticipated issues arising in connection with clinical studies and otherwise that affect U.S. Food and Drug Administration approval of new products; potential supply disruptions; changes in reimbursement levels from third-party payors; a significant increase in product liability claims; the ultimate total cost with respect to recall-related matters; the impact of investigative and legal proceedings and compliance risks; resolution of tax audits; the impact of the federal legislation to reform the United States healthcare system; costs to comply with medical device regulations; changes in financial markets; changes in the competitive environment; our ability to integrate acquisitions; and our ability to realize anticipated cost savings. Additional information concerning these and other factors is contained in our filings with the U.S. Securities and Exchange Commission, including our Annual Report on Form 10-K and Quarterly Reports on Form 10-Q.

Stryker is one of the world's leading medical technology companies and,together with its customers, is driven to make healthcare better. The company offers innovative products and services inOrthopaedics, Medical and Surgical,and Neurotechnology and Spine that help improvepatient and hospital outcomes. More information is available atwww.stryker.com.

For investor inquiries please contact:

Katherine Owen, Vice President, Strategy & Investor Relations at 269-385-2600 or katherine.owen@stryker.com

For media inquiries please contact:

Yin Becker, Vice President, Communications, Public Affairs and Corporate Marketing at 269-385-2600 or yin.becker@stryker.com

nm - not meaningful

SUPPLEMENTAL INFORMATION - RECONCILIATION OF GAAP TO NON-GAAP FINANCIAL MEASURES

We supplement the reporting of our financial information determined under accounting principles generally accepted in the United States (GAAP) with certain non-GAAP financial measures, including: percentage sales growth; percentage sales growth in constant currency; percentage organic sales growth; adjusted gross profit; adjusted selling, general and administrative expenses; adjusted research, development and engineering expenses; adjusted operating income; adjusted effective income tax rate; adjusted net earnings; and adjusted net earnings per diluted share (Diluted EPS). We believe that these non-GAAP financial measures provide meaningful information to assist investors and shareholders in understanding our financial results and assessing our prospects for future performance. Management believes percentage sales growth in constant currency and the other adjusted measures described above are important indicators of our operations because they exclude items that may not be indicative of or are unrelated to our core operating results and provide a baseline for analyzing trends in our underlying businesses. Management uses these non-GAAP financial measures for reviewing the operating results of reportable business segments and analyzing potential future business trends in connection with our budget process and bases certain management incentive compensation on these non-GAAP financial measures.

To measure percentage sales growth in constant currency, we remove the impact of changes in foreign currency exchange rates that affect the comparability and trend of sales. Percentage sales growth in constant currency is calculated by translating current and prior year results at the same foreign currency exchange rate. To measure percentage organic sales growth, we remove the impact of changes in foreign currency exchange rates and acquisitions, which affect the comparability and trend of sales. Percentage organic sales growth is calculated by translating current year results at prior year average foreign currency exchange rates excluding the impact of acquisitions. To measure earnings performance on a consistent and comparable basis, we exclude certain items that affect the comparability of operating results and the trend of earnings.

Because non-GAAP financial measures are not standardized, it may not be possible to compare these financial measures with other companies' non-GAAP financial measures having the same or similar names. These adjusted financial measures should not be considered in isolation or as a substitute for reported sales growth, gross profit, selling, general and administrative expenses, research, development and engineering expenses, operating income, effective income tax rate, net earnings and net earnings per diluted share, the most directly comparable GAAP financial measures. These non-GAAP financial measures are an additional way of viewing aspects of our operations that, when viewed with our GAAP results and the reconciliations to corresponding GAAP financial measures below, provide a more complete understanding of our business. We strongly encourage investors and shareholders to review our financial statements and publicly-filed reports in their entirety and not to rely on any single financial measure.

The following reconciles the non-GAAP financial measures discussed above with the most directly comparable GAAP financial measures. The weighted-average diluted shares outstanding used in the calculation of non-GAAP earnings per share are the same as those used in the calculation of reported earnings per share for the respective period.

Excerpt from:

Stryker reports third quarter 2019 operating results - BioSpace

Synaptive Progresses into the Spinal Surgery Market – Healthcare Tech Outlook

The Modus Vs mechanization enables surgeons to function continuously without taking their hands off from the operative field to adjust the microscope. The process, along with other features like hands-free focal depth control and automatic lighting optimization, facilitates doctors with an uncompromised view during vital moments of every delicate procedure.

FREMONT, CA: To capture patient data and deliver it when and where it matters most for clinical decision making, Synaptive Medical, a leader in automation and robotics, announced a strategic commercial development into the spinal surgery market. As part of the progression into the sector, Synaptive revealed plans for marketing collaborations with Strykers Advanced Guidance Technologies. The partnership will see the utilization of the robotically managed digital microscope, Modus V.

Synaptive Medical is a Toronto-based medical technology and device company. The enterprise designs software and hardware technologies that cross conventional barriers in hospitals and enhance patient care in and beyond the operating room. Synaptives Modus V and integrated BrightMatter solutions comprise surgical planning, visualization, navigation, and an informatics platform. They give leading healthcare systems and clinicians the information they need to ensure the best probable outcomes for patients.

Stryker is one of the globally leading medical technology companies. The organization offers innovative services and products in orthopedics, surgical, spine, and neurotechnology that help improve hospital and patient outcomes.

Synaptives first product offering, the BrightMatter suite of products, focused on enabling surgeons to perform less invasive, patient-specific approaches in complicated cranial procedures like tumors or stroke. Originally launched as part of the cranial offering, Modus V was found by surgeons to offer similar benefits for minimally invasive spinal procedures.

A high-power visualization tool, Modus Vs robotic arm, runs automatically based on the positions of tracked surgical instruments. The mechanization enables surgeons to function continuously without taking their hands off from the operative field to adjust the microscope. The process, along with other features like hands-free focal depth control and automatic lighting optimization, facilitates doctors with an uncompromised view during vital moments of every delicate procedure.

Critical to the strategic push into the spine market is the enterprises development of an existing co-marketing agreement with Stryker. Initially beamed at Synaptives surgical planning technology, BrightMatter Plan, the extension will present surgeons with more extended access to an innovative application for visualization in Minimally Invasive Surgery (MIS) progresses in spinal procedures.

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Synaptive Progresses into the Spinal Surgery Market - Healthcare Tech Outlook

Besides Smartphones, Government Initiatives and the Retail Industry to Drive the Global Facial Recognition Market – GlobeNewswire

CHICAGO, Oct. 30, 2019 (GLOBE NEWSWIRE) -- According to study titled Facial Recognition Market by Component (Software, Tools, and Services), Application Area (Emotion Recognition, Attendance Tracking and Monitoring, Access Control, Law Enforcement), Vertical, and Region - Global Forecast to 2024 by MarketsandMarkets, the global facial recognition market size is expected to grow at a CAGR of 16.6% from an estimated value of USD 3.2 billion in 2019 to reach USD 7.0 billion by 2024. Increasing activity to combat terrorism & crime is one of the key driving factors for market growth. Moreover, the rapid adoption of technology in consumer electronics such as smartphones and home security systems to enhance consumer safety will boost the market growth.

The last two decades have witnessed an increase in terrorist activities around the world. Additionally, there has been a rise in criminal activities, including theft, cyberattacks, and human trafficking. To curb the unchecked spread of terrorism and criminal activities, there have been several initiatives undertaken by governments and affiliated bodies across the world. The Indian Government is exhibiting one such instance.

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In 2018, the Indian Government adopted facial recognition technology to identify missing children and reduce trafficking. Post its successful adoption in this initiative as well as in large-scale handling events and fighting crime in certain states, the Indian Government is planning on constructing the largest facial recognition system in the world, where the police force across the country will have access to a single, centralized database. Such initiatives are expected to open new growth avenues for the global facial recognition market in the near future.

Initiatives such as those exhibited by countries such as India are expected to play an important role in accelerating the growth of the Asia Pacific facial recognition market during the forecast period, making it the fastest-growing marketplace. Besides the large-scale government initiatives, the presence of a robust, established electronics manufacturing base in India, China, Japan, and South Korea is expected to spur the demand for facial recognition technology.

Companies such as NEC, Aware, Idemia, and Gemalto (A Thales Company) have been offering customized solutions as per the requirement of the customers, coupled with their growth strategies to achieve advance infrastructure consistently in the market. On the other hand, Daon, Animetrics, Stereovision Imaging, ID3 Technologies, Nviso, Neurotechnology, and Technobrain have been undertaking multiple partnerships and boosting their sales capabilities across regions to offer integrated solutions and services to a wide range of clients.

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Facial recognition can perform numerous functions such as emotion recognition, attendance tracking & monitoring, access control, and law enforcement, among others. Attendance tracking & monitoring segment is expected to witness the fastest growth due to its widespread implementation, especially in places where large groups of people attend an event such as colleges and churches. This functionality helps in reducing the time spent in manually tracking attendance. Checking in via apps on smartphones, laptops, and tablets, as well as tracking via live monitoring and GPS, are the latest trends in the global facial recognition market.

Besides functionality, facial recognition has evolved over the past few years, where the technology can be used not only in 2D but also in 3D and for facial analytics. 3D facial recognition was at the forefront of the market for quite a few years until companies started using this data to analyze patterns and identification. Facial analytics is helping companies redefine their approach to their clients by capturing different facial expressions, such as happiness, sadness, and anger, among others, to get to know them better.

The penetration of facial recognition was the highest in BFSI, government & defense, and retail & eCommerce. These three verticals together dominated the global facial recognition market share in 2018. The need to check a customers credibility, especially while giving loans, has resulted in banks such as Citi Bank, Barclays, and Banco National (Costa Rica) adopting the facial recognition technology. The retail & eCommerce sector holds tremendous growth potential for the global facial recognition market. The technology is increasingly being used to monitor buying patterns, routes they follow, and shops they visit. This data helps in catering to better customer service, especially for companies such as Amazon and local food apps.

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Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarketss flagship competitive intelligence and market research platform, "Knowledgestore" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

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Besides Smartphones, Government Initiatives and the Retail Industry to Drive the Global Facial Recognition Market - GlobeNewswire

Stay Tuned with the Epic Battle in the Fingerprint Biometrics in the VAR Market – Online News Guru

A new research document is added in HTF MI database of 121 pages, titled as Global Fingerprint Biometrics in the VAR Market Report 2019 with detailed analysis, Competitive landscape, forecast and strategies. The study covers geographic analysis that includes regions like North America Country (United States, Canada) and important players/vendors such as Fulcrum Biometrics,Delaney Secure Ltd.,Neurotechnology,360 Biometrics,AKSA Solution Development,AutoStar Technologies,Bayometric,Bromba Biometrics,California Peripherals and Components,Digital Data Systems,DYDEX-HS,EyenetwatchThe report will help you gain market insights, future trends and growth prospects for forecast period of 2019-2025.Request a sample report @ https://www.htfmarketreport.com/sample-report/1591640-global-fingerprint-biometrics-in-the-var-market-8

SummaryGlobal Fingerprint Biometrics in the VAR Market Report 2019Full Report: 2350 USDMulti License (Section): 4700 USDSection Price: As belowPage: 115Chart and Figure: 124

With the slowdown in world economic growth, the Fingerprint Biometrics in the VAR industry has also suffered a certain impact, but still maintained a relatively optimistic growth, the past four years, Fingerprint Biometrics in the VAR market size to maintain the average annual growth rate of XXX from XXX million $ in 2014 to XXX million $ in 2018, HTF MI analysts believe that in the next few years, Fingerprint Biometrics in the VAR market size will be further expanded, we expect that by 2023, The market size of the Fingerprint Biometrics in the VAR will reach XXX million $.This Report covers the manufacturers data, including: shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including market size, volume and value, as well as price data.Besides, the report also covers segment data, including: type segment, industry segment, channel segment etc. cover different segment market size, both volume and value. Also cover different industries clients information, which is very important for the manufacturers. If you need more information, please contact HTF MI

Section 1: FreeDefinition

Section (2 3): 1200 USDManufacturer DetailFulcrum BiometricsDelaney Secure Ltd.Neurotechnology360 BiometricsAKSA Solution DevelopmentAutoStar TechnologiesBayometricBromba BiometricsCalifornia Peripherals and ComponentsDigital Data SystemsDYDEX-HSEyenetwatch

Section 4: 900 USDRegion SegmentationNorth America Country (United States, Canada)South AmericaAsia Country (China, Japan, India, Korea)Europe Country (Germany, UK, France, Italy)Other Country (Middle East, Africa, GCC)

Section (5 6 7): 500 USDProduct Type SegmentationNon-AFIS Biometrics in VARAFIS Biometrics in VAR

Industry SegmentationCommercialHousehold

Channel (Direct Sales, Distributor) Segmentation

Section 8: 400 USDTrend (2018-2023)

Section 9: 300 USDProduct Type Detail

Section 10: 700 USDDownstream Consumer

Section 11: 200 USDCost Structure

Section 12: 500 USDConclusion

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Table of ContentsSection 1 Fingerprint Biometrics in the VAR Product Definition

Section 2 Global Fingerprint Biometrics in the VAR Market Manufacturer Share and Market Overview2.1 Global Manufacturer Fingerprint Biometrics in the VAR Shipments2.2 Global Manufacturer Fingerprint Biometrics in the VAR Business Revenue2.3 Global Fingerprint Biometrics in the VAR Market Overview

Section 3 Manufacturer Fingerprint Biometrics in the VAR Business Introduction3.1 Fulcrum Biometrics Fingerprint Biometrics in the VAR Business Introduction3.1.1 Fulcrum Biometrics Fingerprint Biometrics in the VAR Shipments, Price, Revenue and Gross profit 2014-20183.1.2 Fulcrum Biometrics Fingerprint Biometrics in the VAR Business Distribution by Region3.1.3 Fulcrum Biometrics Interview Record3.1.4 Fulcrum Biometrics Fingerprint Biometrics in the VAR Business Profile3.1.5 Fulcrum Biometrics Fingerprint Biometrics in the VAR Product Specification

3.2 Delaney Secure Ltd. Fingerprint Biometrics in the VAR Business Introduction3.2.1 Delaney Secure Ltd. Fingerprint Biometrics in the VAR Shipments, Price, Revenue and Gross profit 2014-20183.2.2 Delaney Secure Ltd. Fingerprint Biometrics in the VAR Business Distribution by Region3.2.3 Interview Record3.2.4 Delaney Secure Ltd. Fingerprint Biometrics in the VAR Business Overview3.2.5 Delaney Secure Ltd. Fingerprint Biometrics in the VAR Product Specification

3.3 Neurotechnology Fingerprint Biometrics in the VAR Business Introduction3.3.1 Neurotechnology Fingerprint Biometrics in the VAR Shipments, Price, Revenue and Gross profit 2014-20183.3.2 Neurotechnology Fingerprint Biometrics in the VAR Business Distribution by Region3.3.3 Interview Record3.3.4 Neurotechnology Fingerprint Biometrics in the VAR Business Overview3.3.5 Neurotechnology Fingerprint Biometrics in the VAR Product Specification

3.4 360 Biometrics Fingerprint Biometrics in the VAR Business Introduction3.5 AKSA Solution Development Fingerprint Biometrics in the VAR Business Introduction3.6 AutoStar Technologies Fingerprint Biometrics in the VAR Business Introduction

Section 4 Global Fingerprint Biometrics in the VAR Market Segmentation (Region Level)4.1 North America Country4.1.1 United States Fingerprint Biometrics in the VAR Market Size and Price Analysis 2014-20184.1.2 Canada Fingerprint Biometrics in the VAR Market Size and Price Analysis 2014-20184.2 South America Country4.2.1 S

.ContinuedView Detailed Table of Content @ https://www.htfmarketreport.com/reports/1591640-global-fingerprint-biometrics-in-the-var-market-8

Its vital you keep your market knowledge up to date. If you have a different set of players/manufacturers according to geography or needs regional or country segmented reports we can provide customization accordingly.

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Stay Tuned with the Epic Battle in the Fingerprint Biometrics in the VAR Market - Online News Guru

The US military is trying to read minds – MIT Technology Review

In August, three graduate students at Carnegie Mellon University were crammed together in a small, windowless basement lab, using a jury-rigged 3D printer frame to zap a slice of mouse brain with electricity.

The brain fragment, cut from the hippocampus, looked like a piece of thinly sliced garlic. It rested on a platform near the center of the contraption. A narrow tube bathed the slice in a solution of salt, glucose, and amino acids. This kept it alive, after a fashion: neurons in the slice continued to fire, allowing the experimenters to gather data. An array of electrodes beneath the slice delivered the electric zaps, while a syringe-like metal probe measured how the neurons reacted. Bright LED lamps illuminated the dish. The setup, to use the lab members lingo, was kind of hacky.

A monitor beside the rig displayed stimulus and response: jolts of electricity from the electrodes were followed, milliseconds later, by neurons firing. Later, the researchers would place a material with the same electrical and optical properties as a human skull between the slice and the electrodes, to see if they could stimulate the mouse hippocampus through the simulated skull as well.

They were doing this because they want to be able to detect and manipulate signals in human brains without having to cut through the skull and touch delicate brain tissue. Their goal is to eventually develop accurate and sensitive brain-computer interfaces that can be put on and taken off like a helmet or headbandno surgery required.

Human skulls are less than a centimeter thick: the exact thickness varies from person to person and place to place. They act as a blurring filter that diffuses waveforms, be they electrical currents, light, or sound. Neurons in the brain can be as small as a few thousandths of a millimeter in diameter and generate electrical impulses as weak as a twentieth of a volt.

The students experiment was intended to collect a baseline of data with which they could compare results from a new technique that Pulkit Grover, the teams principal investigator, hopes to develop.

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Nothing like this is [now] possible, and its really hard to do, Grover says. He co-leads one of six teams taking part in the Next-generation Nonsurgical Neurotechnology Program, or N, a $104 million effort launched this year by the Defense Advanced Research Projects Agency, or DARPA. While Grovers team is manipulating electrical and ultrasound signals, other teams use optical or magnetic techniques. If any of these approaches succeed, the results will be transformative.

Surgery is expensive, and surgery to create a new kind of super-warrior is ethically complicated. A mind-reading device that requires no surgery would open up a world of possibilities. Brain-computer interfaces, or BCIs, have been used to help people with quadriplegia regain limited control over their bodies, and to enable veterans who lost limbs in Iraq and Afghanistan to control artificial ones. N is the US militarys first serious attempt to develop BCIs with a more belligerent purpose. Working with drones and swarms of drones, operating at the speed of thought rather than through mechanical devicesthose types of things are what these devices are really for, says Al Emondi, the director of N.

UCLA computer scientist Jacques J. Vidal first used the term brain-computer interface in the early 1970s; its one of those phrases, like artificial intelligence, whose definition evolves as the capabilities it describes develop. Electroencephalography (EEG), which records electrical activity in the brain using electrodes placed on the skull, might be regarded as the first interface between brains and computers. By the late 1990s, researchers at Case Western Reserve University had used EEG to interpret a quadriplegic persons brain waves, enabling him to move a computer cursor by way of a wire extending from the electrodes on his scalp.

Both invasive and noninvasive techniques for reading from the brain have advanced since then. So too have devices that stimulate the brain with electrical signals to treat conditions such as epilepsy. Arguably the most powerful mechanism developed to date is called a Utah array. It looks like a little bed of spikes, about half the size of a pinkie nail in total, that can penetrate a given part of the brain.

One day in 2010, while on vacation in North Carolinas Outer Banks, Ian Burkhart dived into the ocean and banged his head on a sandbar. He crushed his spinal cord and lost function from the sixth cervical nerve on down. He could still move his arms at the shoulder and elbow, but not his hands or legs. Physical therapy didnt help much. He asked his doctors at Ohio State Universitys Wexner Medical Center if there was anything more they could do. It turned out that Wexner was hoping to conduct a study together with Battelle, a nonprofit research company, to see if they could use a Utah array to reanimate the limbs of a paralyzed person.

Where EEG shows the aggregate activity of countless neurons, Utah arrays can record the impulses from a small number of them, or even from a single one. In 2014, doctors implanted a Utah array in Burkharts head. The array measured the electric field at 96 places inside his motor cortex, 30,000 times per second. Burkhart came into the lab several times a week for over a year, and Battelle researchers trained their signal processing algorithms to capture his intentions as he thought, arduously and systematically, about how he would move his hand if he could.

A thick cable, connected to a pedestal coming out of Burkharts skull, sent the impulses measured by the Utah array to a computer. The computer decoded them and then transmitted signals to a sleeve of electrodes that nearly covered his right forearm. The sleeve activated his muscles to perform the motions he intended, such as grasping, lifting, and emptying a bottle, or removing a credit card from his wallet.

That made Burkhart one of the first people to regain control of his own muscles through such a neural bypass. Battelleanother of the teams in the N programis now working with him to see if they can achieve the same results without a skull implant.

That means coming up not just with new devices, but with better signal processing techniques to make sense of the weaker, muddled signals that can be picked up from outside the skull. Thats why the Carnegie Mellon N team is headed by Groveran electrical engineer by training, not a neuroscientist.

Im super motivated for it more than anyone else in the room.

Soon after Grover arrived at Carnegie Mellon, a friend at the University of Pittsburgh Medical School invited him to sit in on clinical meetings for epilepsy patients. He began to suspect that a lot more information about the brain could be inferred from EEG than anyone was giving it credit forand, conversely, that clever manipulation of external signals could have effects deep within the brain. A few years later, a team led by Edward Boyden at MITs Center for Neurobiological Engineering published a remarkable paper that went far beyond Grovers general intuition.

Boydens group had applied two electrical signals, of high but slightly different frequencies, to the outside of the skull. These didnt affect neurons close to the surface of the brain but those deeper inside it. In a phenomenon known as constructive interference, they combined to produce a lower-frequency signal that stimulated the neurons to fire.

Grover and his group are now working to extend Boydens results with hundreds of electrodes placed on the surface of the skull, both to precisely target small regions in the interior of the brain and to steer the signal so that it can switch from one brain region to another while the electrodes stay in place. Its an idea, Grover says, that neuroscientists would be unlikely to have had.

Meanwhile, at the Johns Hopkins University Applied Physics Laboratory (APL), another N team is using a completely different approach: near-infrared light.

Current understanding is that neural tissue swells and contracts when neurons fire electrical signals. Those signals are what scientists record with EEG, a Utah array, or other techniques. APLs Dave Blodgett argues that the swelling and contraction of the tissue is as good a signal of neural activity, and he wants to build an optical system that can measure those changes.

The techniques of the past couldnt capture such tiny physical movements. But Blodgett and his team have already shown that they can see the neural activity of a mouse when it flicks a whisker. Ten milliseconds after a whisker flicks, Blodgett records the corresponding neurons firing using his optical measurement technique. (There are 1,000 milliseconds in a second, and 1,000 microseconds in a millisecond.) In exposed neural tissue, his team has recorded neural activity within 10 microsecondsjust as quickly as a Utah array or other electrical methods.

The next challenge is to do all that through the skull. This might sound impossible: after all, skulls are not transparent to visible light. But near-infrared light can travel through bone. Blodgetts team fires low-powered infrared lasers through the skull and then measures how the light from those lasers is scattered. He hopes this will let them infer what neural activity is taking place. The approach is less well proven than using electrical signals, but these are exactly the types of risks that DARPA programs are designed to take.

Back at Battelle, Gaurav Sharma is developing a new type of nanoparticle that can cross the blood-brain barrier. Its what DARPA calls a minimally invasive technique. The nanoparticle has a magnetically sensitive core inside a shell made of a material that generates electricity when pressure is applied. If these nanoparticles are subjected to a magnetic field, the inner core puts stress on the shell, which then generates a small current. A magnetic field is much better than light for seeing through the skull, Sharma says. Different magnetic coils allow the scientists to target specific parts of the brain, and the process can be reversedelectric currents can be converted to magnetic fields so the signals can be read.

It remains to be seen which, if any, of these approaches will succeed. Other N teams are using various combinations of light, electric, magnetic, and ultrasound waves to get signals in and out of the brain. The science is undoubtedly exciting. But that excitement can obscure how ill-equipped the Pentagon and corporations like Facebook, which are also developing BCIs, are to address the host of ethical, legal, and social questions a noninvasive BCI gives rise to. How might swarms of drones controlled directly by a human brain change the nature of warfare? Emondi, the head of N, says that neural interfaces will be used however they are needed. But military necessity is a malleable criterion.

In August, I visited a lab at Battelle where Burkhart had spent the previous several hours thinking into a new sleeve, outfitted with 150 electrodes that stimulate his arm muscles. He and researchers hoped they could get the sleeve to work without having to rely on the Utah array to pick up brain signals.

Burkhart had a Utah array, shown at right, implanted in his motor cortex in 2014. The Battelle group is now trying to develop a way to read his brain signals without a surgical implant.

Damian Gorczan

If your spinal cord has been broken, thinking about moving your arm is hard work. Burkhart was tired. Theres a graded performance: how hard am I thinking about something translates into how much movement, he told me. Whereas before [the accident] you dont think, Open your handthe rest of us just pick up the bottle. But Im super motivated for itmore than anyone else in the room, he said. Burkhart made it easy to see the technologys potential.

He told me that since he started working with the Utah array, hes become stronger and more dexterous even when he isnt using itso much so that he now lives on his own, requiring assistance only a few hours a day. I talk more with my hands. I can hold onto my phone, he says. If it gets worked out to something that I can use every day, Id wear it as long as I can.

Paul Tullis is a writer living in Amsterdam.

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The US military is trying to read minds - MIT Technology Review

Neurotechnology Releases Update to its NCheck Bio Attendance Time and Attendance Solution – PRNewswire

VILNIUS, Lithuania, Sept. 25, 2019 /PRNewswire/ --Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced the latest update to its NCheck Bio Attendance end-user biometric system for time and attendance management using fingerprint, iris and facial recognition. The new version includes a number of enhancements that simplify user check-in/out using smartphones, computers or dedicated devices while making it easier for managers to collect and analyze attendance data, generate reports or use the data in a payroll system.

NCheck Bio Attendance can now be installed in private and public cloud environments as well as in more traditional client-server framework, and it has an improved user interface for system administrators. As with previous releases, GPS location data is automatically logged when users check-in and check-out. And the new NCheck API for user enrollment facilitates synchronization of user details and attendance events with other systems, incorporating and easily managing previously enrolled users.

"This NCheck release improves upon the previous version in every aspect," said Vaidas Didvalis, NCheck Project Manager for Neurotechnology. "It is also more interoperable, working seamlessly with other systems, and allows for easier integration into existing human resources related software."

The latest version includes enhanced facial recognition capabilities, including recognition of multiple faces from a single image: each person in a group photo can be identified and their attendance data will be automatically registered into the system. When video cameras are in use, live face detection is available. Should connection with the server be temporarily lost, offline user recognition is now an option.

With biometric fingerprint, iris and facial recognition, as well as RFID and barcode identification support, NCheck Bio Attendance provides a flexible solution for a wide range of applications, from time and attendance to scheduling of personnel and resources to check-ins at clinics and facilities, public or commercial.

NCheck Bio Attendance 5.0 is available through the NCheck or Neurotechnology websites. The entire biometric product line, as well as products for AI, robotics and object recognition, are available through Neurotechnology and from distributors worldwide. For more information, go to: http://www.neurotechnology.com.

About NeurotechnologyNeurotechnology is a developer of high-precision algorithms and software based on deep neural networks and other AI-related technologies. The company was launched in 1990 in Vilnius, Lithuania, with the key idea of using neural networks for various applications, such as biometric person identification, computer vision, robotics and artificial intelligence. Since the first release of its fingerprint identification system in 1991, the company has delivered more than 200 products and version upgrades. More than 3,000 system integrators, security companies and hardware providers in more than 140 countries integrate Neurotechnology's algorithms into their products. The company's algorithms have achieved top results in independent technology evaluations, including NIST MINEX, PFT, FRVT, IREX and FVC-onGoing. http://www.neurotechnology.com

Media ContactJennifer Allen NewtonBluehouse Consulting Group, Inc.+1-503-805-7540jennifer(at)bluehousecg(dot)com

SOURCE Neurotechnology

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Neurotechnology Releases Update to its NCheck Bio Attendance Time and Attendance Solution - PRNewswire

Neurotechnology upgrades facial biometrics and other features of time and attendance system – Biometric Update

Neurotechnology has updated its NCheck Bio Attendance system with enhanced facial recognition that can recognize multiple faces in a single image, in addition to its support for fingerprint and iris biometrics.

The enhancements simplify user check-in and check-out processes with smartphones, computers, or dedicated devices and make it easier for managers to collect and analyze attendance data, generate reports, or use data with payroll systems, according to the announcement.

The new NCheck Bio Attendance 5.0 can also be installed in private and public cloud environments, or in a more traditional client-server framework, and comes with an improved user interface for administrators.

This NCheck release improves upon the previous version in every aspect, said Vaidas Didvalis, NCheck Project Manager for Neurotechnology. It is also more interoperable, working seamlessly with other systems, and allows for easier integration into existing human resources related software.

Live face detection from video camera feeds is also available, as is offline user recognition if the connection to the server is lost.

As with previous versions, GPS data is automatically logged for users checking in and out of the system, and NCheck Bio Attendance also supports RFID and barcode identification, in addition to biometrics.

The companys cloud-focused subsidiary SkyBiometry launched an update of its face detection and recognition algorithm in July.

biometrics | facial recognition | fingerprint recognition | iris recognition | Neurotechnology | time and attendance

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Neurotechnology upgrades facial biometrics and other features of time and attendance system - Biometric Update

He was rejected in Mexico but now triumphs in Japan with a prosthesis that dominates with the mind. – The Yucatan Times

OSAKAJapn It was an important afternoon for Mexican scientist Christian Pealoza, back in 2017 when he closed a deal with the University of Osaka, the second most important in Japan: They want our project, he said emotionally.

Christian story is one of those that are sad and at the same time happy. His project was rejected in Mexico multiple times, but today his company, MIRAI INNOVATION, exports to the other side of the world.

Christian earned a doctorate in Japan and has been perfecting AURA, a device that processes signals from the brain, muscles and heart and converts them into concrete actions.We are collaborating with a researcher at UNAM who is developing a hand prosthesis with our software, so that people, just by thinking, can move the extremity he explains.

Recently his research was popularized around the world by a video in which a person moves a third robotic arm only with his mind, while with his hands he balances a ball on a tray. People can handle three arms at the same time, N+1mediareported.

His system can be used in various industries, in medical rehabilitation so that patients can, for example, control a prosthesis or a wheelchair with their minds. Also, with AURA users could play video games without using a control: just with their thoughts.

In Europe this technology costs 15 or 16 thousand dollars (almost 300 thousand pesos), but Christian managed to lower prices for the Mexican market: We managed to reduce them to 3 thousand 500 dollars (65 thousand pesos). This makes it more accessible for research centers and universities. Christian explains.

The system that Christian developed looks like a box with several cables: these are the electrodes that are connected to a cap or in the muscles to detect brain signals and muscle impulses. The information is sent to a computer, where you can see the activity of the brain or body.

Similar advances already exist in other countries in the field of neurotechnology: Facebook is working to get people to write with their thoughts. Nissan announced a car that receives brain signals to prevent accidents. Very important players are betting on this. Its the future, Christian says.

However, scientists believe that the same thing does not happen in Mexico and Latin America and attributes the delay to two factors: low investment in science, and the lack of tools for technological development: Generally these are promoted in technologically positioned countries such as Japan, the United States and Germany, but they take time to reach Mexico, and that causes a delay to us, he says.

In Mexico under Lopez Obradors government, all scholarships to study abroad have been canceled under presidential orders. AMLO claims that people who leave Mexico to study some place else are tourists.

Currently under the presidency of Lopez Obrador, most of CONACYTs support for science and technology is none existent. Other countries such as the United States invests 3% of its Gross Domestic Product (GDP) in research and development. This is equivalent to 20% of the GDP of all Latin American countries as a whole. To be a competitive region it would have to invest a quarter or fifth of its GDP, according to a study by UNAMs Faculty of Sciences.

Christian studied a masters degree in Robotics and Artificial Intelligence and a doctorate in Cognitive Neuroscience applied to Robotics in Japan, but getting there was not easy. After the Mexican government refused him a scholarship, thanks to the help of his parents and with his own savings he traveled to Japan, where he worked temporarily in a restaurant to subsidize his expenses.

Although Christian is 14 hours from his country, he does not abandon the idea of having his company in Tijuana and a representative in Mexico City: It was very complicated. I looked for research funds, but I didnt get the support I was looking for. I submitted five applications to Conacyt [National Council for Science and Technology] and none passed. A project I sent to the Instituto Nacional del Emprendedor didnt happen either.

Even though Congress has approved CONACYT to receive more funds there has been a reduction over last year, according to the General Directorate of Science Dissemination of UNAM.

Although his project was rejected in Mexico, Christian applied to a research fund in Japan: A research very similar to the one I proposed in Conacyt was accepted here. They gave me 100,000 dollars. He explains.

With the help of his brothers and one of his best friends, as partners and investors, he created Mirai Innovation. It means innovation of the future in Japanese, says Christian. The objective is to channel the knowledge acquired in Japan, and support me with the Mexican human capital to promote the technologies there, Christian says. Thank God I had people who believe in me and gave me their support.

Helping young peopleChristian was named by MIT Technology Review, a publication of one of the worlds leading universities, part of the ten most innovative young people under the age of 35 in Mexico. He received the Innovator of the Year award, a worldwide recognition for young people who provide solutions to global problems.

Ten people work at Mirai Innovation: We are a small team, we are distributed in Tijuana, Mexico City and Japan, he says.

Christian hired university talents: Alan and Rodrigo, 21 years old, are students and entered a few months ago, through a professional internship agreement with CETYS University in Tijuana, he explains.

Carlos, on the other hand, is 23 and won the Ceneval award as his universitys best score: I brought him to Japan six months ago and here we developed AURA, along with Bruno, another talented Mexican who is doing his doctorate here. Lizeth supports the researcher from Mexico City, she was selected by the American Young Leaders Initiative promoted by the U.S. Embassy.

However, some of the agreements he has tried to make have been frustrated by the lack of support. With the University of Chihuahua we put two projects to CONACYT. They accepted the first stage, but in the second they rejected us. We were going to make a robotic prosthesis for people with disabilities that would be cheaper and easier to use, because it would be controlled with the brain An agreement had already been made with the research institute where I work in Japan to bring them here, train them and then return to Mexico. These are events that werent achieved because we didnt get support, Christian laments.

With this new support from Japan, Christian and his team work on a humanoid robot to help older adults with dementia improve their mobility in physical therapies. Its a pilot project in collaboration with the Ensenada Center for Scientific Research and Higher Education: This is the way I can contribute, change the paradigm from the brain drain to the circularity of knowledge. Its love for Mexico. I like to take the country forward, concludes Christian, who is president of the Japan Chapter of the network of qualified Mexicans abroad RedGlobalMX.

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He was rejected in Mexico but now triumphs in Japan with a prosthesis that dominates with the mind. - The Yucatan Times


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