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Neurotechnology Market: Qualitative Analysis of the Leading Players and Competitive Industry Scenario, 2025 – Express Journal

Growing at a steady pace, this Neurotechnology market research values the industry size in USD million terms for 2020 and expected USD million value by the end of 2025 is provided for decision makers and stakeholders interested in Neurotechnology market. The report on Neurotechnology market provides qualitative as well as quantitative analysis in terms of market dynamics, competition scenarios, opportunity analysis, market growth, industrial chain, etc.

The Neurotechnology market research report provides a thorough analysis regarding the production and the consumption patterns of this industry vertical. Based on production aspect, the study offers crucial insights pertaining to the manufacturing patterns of the items, revenue share, and its respective impact on the overall gross margins of the producers.

As per consumption patterns, the document assesses the consumption value and volume regarding each of the product offerings, their sale prices and import & export conditions across various regions listed. Additionally, the report also delivers production and consumption expectations, during the ongoing COVID-19 pandemic.

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Emphasizing on the regional landscape:

Summarizing the product landscape:

Elaborating on the application space:

Highlighting the competitive dynamics:

Briefly, the Neurotechnology market research report comprises of a granular assessment regarding the upstream raw materials, downstream buyers, manufacturing equipment and distribution channels. Furthermore, it evaluates the various market dynamics such as opportunities, trends, drivers and limitations & challenges which are impacting the revenue generation of the overall market.

Key Questions Answered in Global Neurotechnology market Report: -

The Report Provides The Following Information:

Categorize data at the regional level as well as revenue and growth of in these regions

Distribution channels, and consumption patterns, of the global Neurotechnology market

Study data of the market on the basis of the country, including market share and revenue of the important countries

Critical analysis of every market player, such as collaborations, acquisitions, and product launches

Market opportunities, challenges, and threats faced by the vendors in the global Neurotechnology market are highlighted

Upstream raw materials and manufacturing equipment are investigated.

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Neurotechnology Market: Qualitative Analysis of the Leading Players and Competitive Industry Scenario, 2025 - Express Journal

Elon Musk to release progress update on Neuralink brain chip on August 28 – Inceptive Mind

Elon Musk revealed on his Twitter that his neurotechnology company Neuralink, developing implantable brain-machine interfaces, will provide an update on its progress on August 28.

Neuralink is undoubtedly one of Elon Musks most ambitious projects, which seeks to connect the human brain to an external computer. A year ago, Musk made a presentation that gave us more details of the idea behind Neuralink, and now Musk has confirmed that next August 28, we will have a new update. New developments are expected here, but the most important thing will be to know what the first implants and tests in humans are like, which is something that was promised last year.

The idea is to first create an implant that could help people with certain brain injuries due to a stroke, accident, or congenital disease. For this, a surgical robot will be used that will implant thin cables in a persons brain, which will be connected to an external computational processing unit.

Eventually, the tech should allow people to fully combine their brains with artificial intelligence, which sounds scary, but Musk thinks its unavoidable.

In that presentation last year, Musk claimed that they had already successfully tested their technology on mice and monkeys and has achieved successful results. Another important information announced in 2019 was that human tests would begin at the beginning of 2020. Most likely, the results from human tests will be shared on August 28.

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Elon Musk to release progress update on Neuralink brain chip on August 28 - Inceptive Mind

Facial Recognition Technology Market Key Drivers, Business Insights, Trends And Forecast To 2028 – Jewish Life News

Facial Recognition Technology Market is analyzed with industry experts in mind to maximize return on investment by providing clear information needed for informed business decisions. This research will help both established and new entrants to identify and analyze market needs, market size and competition. It explains the supply and demand situation, the competitive scenario, and the challenges for market growth, market opportunities and the threats faced by key players.

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A 360 degree outline of the competitive scenario of the Global Facial Recognition Technology Market is presented by Quince Market Insights. It has a massive data allied to the recent product and technological developments in the markets.

It has a wide-ranging analysis of the impact of these advancements on the markets future growth, wide-ranging analysis of these extensions on the markets future growth. The research report studies the market in a detailed manner by explaining the key facets of the market that are foreseeable to have a countable stimulus on its developing extrapolations over the forecast period.

Companies Covered:NEC Corporation, Aware, Gemalto, Ayonix Face Technologies, Cognitec Systems GmbH, NVISO SA, Daon, StereoVision Imaging, Techno Brain, Neurotechnology, Innovatrics, id3 Technologies, IDEMIA, Animetrics, MEGVII, Idemia, Gemalto NV, Ayonix Corporation, Herta Security, Keylemon SA., Cross Match Technologies, ZK Software, Safran Group (Morpho S.A.), FaceFirst LLC, 3M Cogent Inc., and Animetrics Inc.

Table of Contents:

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Market Segmentation: By Technology (2D Facial Recognition, 3D Facial Recognition, and Facial Analytics), By Component (Software, Hardware, and Services), By Application (Law Enforcement, Border Security, Emotion Recognition, Attendance Tracking & Monitoring, Access Control, Homeland Security, Criminal Investigation, Identity Management, Physical Security, Intelligent Signage, Photo Indexing & Sorting, Business Intelligence, and Others), By End User (Government, Medical & Healthcare, Commercial, Military & Defense, and Others)

A detailed outline of the Global Facial Recognition Technology Market includes a comprehensive analysis of different verticals of businesses. North America, Europe, Asia Pacific, Middle East & Africa, and South America have been considered for the studies on the basis of several terminologies.

This is anticipated to drive the Global Facial Recognition Technology Market over the forecast period. This research report covers the market landscape and its progress prospects in the near future. After studying key companies, the report focuses on the new entrants contributing to the growth of the market. Most companies in the Global Facial Recognition Technology Market are currently adopting new technological trends in the market.

Finally, the researchers throw light on different ways to discover the strengths, weaknesses, opportunities, and threats affecting the growth of the Global Facial Recognition Technology Market. The feasibility of the new report is also measured in this research report.

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Facial Recognition Technology Market Key Drivers, Business Insights, Trends And Forecast To 2028 - Jewish Life News

Encouraging results from functional MRI in an unresponsive patient with COVID-19 – Science Codex

BOSTON - Many patients with severe coronavirus disease 2019 (COVID-19) remain unresponsive after surviving critical illness. Investigators led by a team at Massachusetts General Hospital (MGH) now describe a patient with severe COVID-19 who, despite prolonged unresponsiveness and structural brain abnormalities, demonstrated functionally intact brain connections and weeks later he recovered the ability to follow commands. The case, which is published in the Annals of Neurology, suggests that unresponsive patients with COVID-19 may have a better chance of recovery than expected.

In addition to performing standard brain imaging tests, the team took images of the patient's brain with a technique called resting-state functional magnetic resonance imaging (rs-fMRI), which evaluates the connectivity of brain networks by measuring spontaneous oscillations of brain activity. The patient was a 47-year-old man who developed progressive respiratory failure, and despite intensive treatment, he fluctuated between coma and a minimally conscious state for several weeks.

Standard brain imaging tests revealed considerable damage, but unexpectedly, rs-fMRI revealed robust functional connectivity within the default mode network (DMN), which is a brain network thought to be involved in human consciousness. Studies have shown that stronger DMN connectivity in patients with disorders of consciousness predicts better neurologic recovery. The patient's DMN connectively was comparable to that seen in healthy individuals, suggesting that the neurologic prognosis may not be as grim as conventional tests implied.

Twenty days later, on hospital day 61, the patient began following verbal commands. He blinked his eyes to command, opened his mouth to command, and on day 66 followed four out of four vocalization commands. By this time, he also consistently demonstrated gaze tracking with his eyes in response to visual and auditory stimuli.

"Because there are so many unanswered questions about the potential for recovery in unresponsive patients who have survived severe COVID-19, any available data that could inform prognosis are critical," said senior author Brian Edlow, MD, director of the Laboratory for NeuroImaging of Coma and Consciousness and associate director of the Center for Neurotechnology and Neurorecovery at MGH. "Our unexpected observations do not prove that functional MRI predicts outcomes in these patients, but they suggest that clinicians should consider the possibility that unresponsive survivors of severe COVID-19 may have intact brain networks. We should thus exercise caution before presuming a poor neurologic outcome based on our conventional tests."

Providing families with an accurate prognosis about neurological recovery is particularly challenging for patients with COVID-19, because so little is known about how the brain is affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or associated inflammation and clotting disorders. "Initially, our goal in the intensive care unit was to support patients through the critical illness of COVID-19," said lead author David Fischer, MD, Neurocritical Care fellow at MGH. "However, we found that a subset of patients, after surviving the critical illness, were not waking up as expected. As neurologists, we were asked by many families whether their loved ones would regain consciousness - a critical question given that decisions about life support often hinged on the answer - but we were uncertain. We used functional MRI to try to provide a more comprehensive assessment of brain function."

The application of functional MRI to critically ill patients with disorders of consciousness is the culmination of decades of work to develop this technology and ultimately translate it to clinical care. Co-author Bruce Rosen, MD, PhD, director of the Athinoula A. Martinos Center for Biomedical Imaging at MGH, and one of the developers of functional MRI in the early 1990s, explained that "we have to be cautious when interpreting results from a single patient, but this study provides proof of principle that clinicians may be able to use advanced imaging techniques like functional MRI to get a clearer picture of a patient's brain function, and hence the potential for recovery."

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Encouraging results from functional MRI in an unresponsive patient with COVID-19 - Science Codex

Facial Recognition System Market: Deep Analysis by Production Overview and Insights 2018 – Market Research Publicist

Facial Recognition System Market (2020)Report Provides an in-depth summary of Facial Recognition System Market Status as well as Product Specification, Technology Development, and Key Manufacturers. The Report Gives Detail Analysis on Market concern Like Facial Recognition System Market share, CAGR Status, Market demand and up to date Market Trends with key Market segments.

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Analysis tools such as SWOT analysis and Porters five force model have been inculcated in order to present a perfect in-depth knowledge about Facial Recognition System Market. tables, charts are added to help have an accurate understanding of this Facial Recognition System Market. The Facial Recognition System Market is also been analyzed in terms of value chain analysis and regulatory analysis.

Key players in global Facial Recognition System Market include:3M, Animetrics, Aware, Inc., Ayonix Corporation, Cognitec Systems, Daon, Gemalto NV, Herta Security, IDEMIA, KeyLemon S.A., NEC Corporation, Neurotechnology, NVISO SA., Panasonic i-PRO Sensing Solutions Co., Ltd., and Techno Brain

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Geographical Analysis:

The study details country-level aspects based on each segment and gives estimates in terms of market size. The key regional trends beneficial to the growth of the Facial Recognition System market are discussed. Further, it analyzes the market potential for every nation. Geographic segmentation covered in the market report:

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Facial Recognition System Market: Deep Analysis by Production Overview and Insights 2018 - Market Research Publicist

Elon Musk says Neuralinks capability to cure mental illness is great and terrifying – Republic World – Republic World

Stating Neuralinks top priority to help with brain injuries, Elon Musk also noted that its both great and terrifying that his brain-computer chip startup could help in curing mental illnesses including depression. While replying to an inquiry of a follower who asked if Neuralink can cure that part of the brain which causes addiction or depression, the Tesla CEO said on July 10 for sure but then acknowledged the dilemma that comes with it. Musk has also hinted that an entire progress report on American neurotechnology company founded in 2016 will be released on August 28.

The company aimed to develop ultra-high bandwidth brain-machine interfaces to connect humans and computers has prompted many curious questions by people across the world. In the same tweet, Elon Musk said that every emotion that an individual has felt in his or her entire life are just mere electrical signals.

Read -Elon Musk Teases 'progress Update' For Neuralink Machine-human Interface Company

Moreover, when another follower inquired about the human trials of Neuralink and how the company will come up with eligibility criteria for the same, Musk said there was no easy way to answer that question but the company remains focussed on healing injuries in the brain. In yet another interaction with a follower on Twitter, the Tesla CEO said absolutely and agreed to an internet user who wondered that Neuralink might enhance progress and help people reach their goals at a faster rate.

Read -Elon Musk Dared To Wear Tesla's Short Shorts At A Meeting, His Reply Is Hilarious

Meanwhile, Tesla CEO Elon Musk just became the seventh richest man in the world over CEO of Berkshire Hathaway Warren Buffet, as per the Bloomberg Billionaires Index. SpaceX CEOs wealth increased by $6 billion on July 10 followed by a huge surge in Teslas stock by 10.8 per cent reaching a record $1,544 per share. Now, the market value stood at $286.5 billion. Elon Musk currently owns at least 20.8 per cent of Teslas stock and thus, his stake is worth nearly $60 billion. Moreover, he is also the primary shareholder of SpaceX making his total net worth to be $70.4 billion.

Musk went up the Bloomberg list as Buffets fortune plunged this week after he decided to donate nearly $3 billion worth stock of his company to charity under his plan of giving away most of his wealth to philanthropic ventures. Amazon CEO Jeff Bezos still holds the top position with the total net worth of $189 billion and according to international media reports, the Tesla CEO could eventually replace him based on the pay package that Tesla shareholders had approved two years ago. Other people ahead of Musk include Bill Gates, Mark Zuckerberg, Bernard Arnault, Steve Ballmer and Larry Page.

Read -Elon Musk Now Launches Tesla 'short Shorts', Website Crashes After Inside Joke

Read -Elon Musk Pledges Full Support For Kanye West's 2020 US Election Bid, Late As It Comes

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Elon Musk says Neuralinks capability to cure mental illness is great and terrifying - Republic World - Republic World

Clinicians find encouraging results from functional MR in an unresponsive patient with COVID-19 – DOTmed HealthCare Business News

BOSTONMany patients with severe coronavirus disease 2019 (COVID-19) remain unresponsive after surviving critical illness. Investigators led by a team at Massachusetts General Hospital now describe a patient with severe COVID-19 who, despite prolonged unresponsiveness and structural brain abnormalities, demonstrated functionally intact brain connections and weeks later he recovered the ability to follow commands. The case, which is published in the Annals of Neurology, suggests that unresponsive patients with COVID-19 may have a better chance of recovery than expected.

In addition to performing standard brain imaging tests, the team took images of the patients brain with a technique called resting-state functional magnetic resonance imaging (rs-fMRI), which evaluates the connectivity of brain networks by measuring spontaneous oscillations of brain activity. The patient was a 47-year-old man who developed progressive respiratory failure, and despite intensive treatment, he fluctuated between coma and a minimally conscious state for several weeks.

Standard brain imaging tests revealed considerable damage, but unexpectedly, rs-fMRI revealed robust functional connectivity within the default mode network (DMN), which is a brain network thought to be involved in human consciousness. Studies have shown that stronger DMN connectivity in patients with disorders of consciousness predicts better neurologic recovery. The patients DMN connectively was comparable to that seen in healthy individuals, suggesting that the neurologic prognosis may not be as grim as conventional tests implied.

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Because there are so many unanswered questions about the potential for recovery in unresponsive patients who have survived severe COVID-19, any available data that could inform prognosis are critical, said senior author Brian Edlow, MD, director of the Laboratory for NeuroImaging of Coma and Consciousness and associate director of the Center for Neurotechnology and Neurorecovery at Mass General. Our unexpected observations do not prove that functional MRI predicts outcomes in these patients, but they suggest that clinicians should consider the possibility that unresponsive survivors of severe COVID-19 may have intact brain networks. We should thus exercise caution before presuming a poor neurologic outcome based on our conventional tests.

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Clinicians find encouraging results from functional MR in an unresponsive patient with COVID-19 - DOTmed HealthCare Business News

Humans ‘prick’ their ears up just like cats and dogs when they hear interesting sounds, scientists find – Telegraph.co.uk

The cry of 'prick your ears up' is a familiar sound to day-dreaming children, but until now, no one believed humans really could move their ears like a dog or a cat.

However, scientists have now found we have more in common with our household pets when we thought.

Researchers from the Systems Neuroscience & Neurotechnology Unit in Germany have found for the first time that we make minute, unconscious movements of our ears that are directed towards the sound want to focus our attention on.

The study, published in the journal eLife,measuredelectrical signals in the muscles of the vestigial motor system in the human ear.

Despite the function to move the outer part of our ears evolved out of human ancestors 35 million years ago, the brain still sends signals to the ears to try and 'prick' them up when a sound is interesting enough.

NeuroscientistProfessor Danial Strauss, who led the research, said: "The electrical activity of the ear muscles indicates the direction in which the subject is focusing their auditory attention.

"It is very likely that humans still possess a rudimentary orientation system that tries to control the movement of the pinna (the visible outer part of the ear). Despite becoming vestigial about 25 million years ago, this system still exists as a 'neural fossil' within our brains".

The researchers were able to record the signals that control the tiny movements of the pinna using a technique known as surface electromyography (EMG).

They used sensors attached to the subject's skin, to detect the electrical activity of the muscles responsible for moving the pinna.

Subjects then had two types of attention tested, with automatic reaction when we hear unexpected sounds measured by exposing them to noise at random intervals while they silently reada monotonous text.

Goal-oriented attention also caused ears to 'prick'; to test this,the participants were asked to listen to a short story coming from one laterally positioned speaker, while ignoring a 'competing' story from a speaker located on the opposite side.

Professor Strauss said this research could help with the development of better hearing aids.

He explained: "These devices would be able to amplify the sounds that the wearer is trying to hear, while suppressing the noises that they are trying to ignore. The device would function in a way that reflects the user's auditory intention."

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Humans 'prick' their ears up just like cats and dogs when they hear interesting sounds, scientists find - Telegraph.co.uk

Face Recognition Software Market Share, Growth, Statistics, By Application, Production, Revenue & Forecast To 2026 – Owned

A new research study has been presented by Industrygrowthinsights.com offering a comprehensive analysis on the Global Face Recognition Software Market where user can benefit from the complete market research report with all the required useful information about this market. This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. The report discusses all major market aspects with expert opinion on current market status along with historic data. This market report is a detailed study on the growth, investment opportunities, market statistics, growing competition analysis, major key players, industry facts, important figures, sales, prices, revenues, gross margins, market shares, business strategies, top regions, demand, and developments.

The Face Recognition Software Market report provides a detailed analysis of the global market size, regional and country-level market size, segment growth, market share, competitive landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunity analysis, strategic market growth analysis, product launches, and technological innovations.

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Major Players Covered in this Report are: Aware (US)BioID (DE)Idemia (FR)Leidos (US)Visage Technologies (SE)Cloudwalk (CN)M2SYS (US)Gemalto (NZ)StereoVision Imaging (US)Cognitec Systems (GE)HID Global (US)NEC (JP)NVISO (BE)Daon (US)MEGVII (CN)Ayonix Face Technologies (IN)Innovatrics (SK)HYPR (US)Fujitsu (JP)Kairos (US)Animetrics (US)id3 Technologies (FR)Smilepass (GB)Techno Brain (SA)Neurotechnology (LT)Fulcrum Biometrics (US)FaceFirst (US)Certibio (BR)

Global Face Recognition Software Market SegmentationThis market has been divided into Types, Applications, and Regions. The growth of each segment provides an accurate calculation and forecast of sales by Types and Applications, in terms of volume and value for the period between 2020 and 2026. This analysis can help you expand your business by targeting qualified niche markets. Market share data is available on the global and regional level. Regions covered in the report are North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America. Research analysts understand the competitive strengths and provide competitive analysis for each competitor separately.

By Types:Holistic Matching Methodfeature-based MethodSkin Texture AnalysisHybrid TypesOther

By Applications:Corporate & Residential SecurityPublic TransportEntertainment SoftwarePublic Security & JusticeSelf-service EquipmentAttendance & ConferenceFinancial ServicesOther

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Global Face Recognition Software Market Regions and Countries Level AnalysisRegional analysis is a highly comprehensive part of this report. This segmentation sheds light on the sales of the Face Recognition Software on regional- and country-level. This data provides a detailed and accurate country-wise volume analysis and region-wise market size analysis of the global market.

The report offers an in-depth assessment of the growth and other aspects of the market in key countries including the US, Canada, Mexico, Germany, France, the UK, Russia, Italy, China, Japan, South Korea, India, Australia, Brazil, and Saudi Arabia. The competitive landscape chapter of the global market report provides key information about market players such as company overview, total revenue (financials), market potential, global presence, Face Recognition Software sales and revenue generated, market share, prices, production sites and facilities, products offered, and strategies adopted. This study provides Face Recognition Software sales, revenue, and market share for each player covered in this report for a period between 2016 and 2020.

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Table of Contents1. Executive Summary2. Assumptions and Acronyms Used3. Research Methodology4. Market Overview5. Global Market Analysis and Forecast, by Types6. Global Market Analysis and Forecast, by Applications7. Global Market Analysis and Forecast, by Regions8. North America Market Analysis and Forecast9. Latin America Market Analysis and Forecast10. Europe Market Analysis and Forecast11. Asia Pacific Market Analysis and Forecast12. Middle East & Africa Market Analysis and Forecast13. Competition Landscape

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Face Recognition Software Market Share, Growth, Statistics, By Application, Production, Revenue & Forecast To 2026 - Owned

Global Face and Voice Biometrics Market Projected to Reach USD XX.XX billion by 2025- 3M Cogent (USA), NEC Corporation of America (USA), AcSys…

This research report studies and gauges through the current market forces that replicate growth trajectory and holistic growth trends.

Aligning with changing market scenario in the wake of COVID-19 outbreak , this in-depth research offering shares a clear perspective of resultant output that tend to directly impact the overall growth trajectory of the Face and Voice Biometrics market.

This thoroughly compiled research output shares relevant details on overall industry production chain amidst the COVID-19 pandemic.Besides assessing details pertaining to production, distribution and sales value chain, this detailed research output on the Face and Voice Biometrics market specifically highlights crucial developments across regions and vital countries, also lending a decisive understanding of the upcoming development scenario likely to be witnessed in the Face and Voice Biometrics market in the near future.

This study covers following key players:3M Cogent (USA)NEC Corporation of America (USA)AcSys Biometrics Corp. (Canada)AGNITiO S.L. (Spain)Cognitec Systems GmbH (Germany)Nuance Communications, Inc. (USA)Eurotech S.P.A (Italy)Ivrnet Inc. (Canada)Kimaldi Electronics, S.L. (Spain)National Security Resources (USA)Neurotechnology (Lithuania)PSP Security Co. Ltd (Hong Kong)SAFRAN Group (France)Sensible Vision (USA)Sensory, Inc. (USA)Suprema, Inc. (Korea)VoiceTrust eServices, Inc. (Canada)VoiceVault, Inc. (USA)

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In this latest research publication on the Face and Voice Biometrics market, a thorough overview of the current market scenario has been portrayed, in a bid to aid market participants, stakeholders, research analysts, industry veterans and the like to borrow insightful cues from this ready-to-use market research report, thus influencing a definitive business discretion.

The aim of the report is to equip relevant players in deciphering essential cues about the various real-time market based developments, also drawing significant references from historical data, to eventually present a highly effective market forecast and prediction, favoring sustainable stance and impeccable revenue flow despite challenges such as sudden pandemic, interrupted production and disrupted sales channel in the Face and Voice Biometrics market.

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Market segment by Type, the product can be split into Face BiometricsVoice Biometrics

Market segment by Application, split into Banking, Financial Services & Insurance (BFSI)Government & Law EnforcementMilitary & DefenseHealthcareCommercialIT & TelecomOthers

The report is targeted to offer report readers with essential data favoring a seamless interpretation of the Face and Voice Biometrics market.Therefore, to enable and influence a flawless market specific business decision, aligning with the best industry practices, this specificresearch report on the Face and Voice Biometrics market also lends a systematic rundown on vital growth triggering elements comprising market opportunities, persistent market obstacles and challenges, also featuring a comprehensive outlook of various drivers and threats that eventually influence the growth trajectory in the Face and Voice Biometrics market.

Some Major TOC Points:1 Report Overview2 Global Growth Trends3 Market Share by Key Players4 Breakdown Data by Type and ApplicationContinued

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Besides presenting a discerning overview of the historical and current market specific developments, inclined to aid a future-ready business decision, this well compiled research report on the Face and Voice Biometrics market also presents vital details on various industry best practices comprising SWOT and PESTEL analysis to adequately locate and maneuver profit scope.The report in its subsequent sections also portrays a detailed overview of competition spectrum, profiling leading players and their mindful business decisions, influencing growth in the Face and Voice Biometrics market.

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Global Face and Voice Biometrics Market Projected to Reach USD XX.XX billion by 2025- 3M Cogent (USA), NEC Corporation of America (USA), AcSys...

Trending: Neurotechnology Market 2020- Analysis And In-Depth Research On Market Size, Trends, Emerging Growth Factors And Forecast To 2026 – Cole of…

LOS ANGELES, United States: QY Research has recently published a report, titled Global Neurotechnology Market Size, Status and Forecast 2020-2026.The market research report is a brilliant, complete, and much-needed resource for companies, stakeholders, and investors interested in the global Neurotechnology market. It informs readers about key trends and opportunities in the global Neurotechnology market along with critical market dynamics expected to impact the global market growth. It offers a range of market analysis studies, including production and consumption, sales, industry value chain, competitive landscape, regional growth, and price. On the whole, it comes out as an intelligent resource that companies can use to gain a competitive advantage in the global Neurotechnology market.

Key companies operating in the global Neurotechnology market include General Electric, Siemens Healthcare, Koninklijke Philips, Canon Medical Systems, Shimadzu, Hitachi Medical, Elekta, Tristan Technologies, Allengers Medical, Natus Medical, Magstim Neurotechnology

Get PDF Sample Copy of the Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, Chart) :

https://www.qyresearch.com/sample-form/form/1531676/global-neurotechnology-market

Segmental Analysis

Both developed and emerging regions are deeply studied by the authors of the report. The regional analysis section of the report offers a comprehensive analysis of the global Neurotechnology market on the basis of region. Each region is exhaustively researched about so that players can use the analysis to tap into unexplored markets and plan powerful strategies to gain a foothold in lucrative markets.

Global Neurotechnology Market Segment By Type:

, Imaging Modalities, Neurostimulation, Cranial Surface Measurement, Neurological Implants, Others

Global Neurotechnology Market Segment By Application:

, Hospitals, Clinics, Diagnostic Centers, Ambulatory Surgical Centers

Competitive Landscape

Competitor analysis is one of the best sections of the report that compares the progress of leading players based on crucial parameters, including market share, new developments, global reach, local competition, price, and production. From the nature of competition to future changes in the vendor landscape, the report provides in-depth analysis of the competition in the global Neurotechnology market.

Key companies operating in the global Neurotechnology market include General Electric, Siemens Healthcare, Koninklijke Philips, Canon Medical Systems, Shimadzu, Hitachi Medical, Elekta, Tristan Technologies, Allengers Medical, Natus Medical, Magstim Neurotechnology

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TOC

1 Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered: Ranking by Neurotechnology Revenue1.4 Market by Type1.4.1 Global Neurotechnology Market Size Growth Rate by Type: 2020 VS 20261.4.2 Imaging Modalities1.4.3 Neurostimulation1.4.4 Cranial Surface Measurement1.4.5 Neurological Implants1.4.6 Others1.5 Market by Application1.5.1 Global Neurotechnology Market Share by Application: 2020 VS 20261.5.2 Hospitals1.5.3 Clinics1.5.4 Diagnostic Centers1.5.5 Ambulatory Surgical Centers1.6 Study Objectives1.7 Years Considered 2 Global Growth Trends2.1 Global Neurotechnology Market Perspective (2015-2026)2.2 Global Neurotechnology Growth Trends by Regions2.2.1 Neurotechnology Market Size by Regions: 2015 VS 2020 VS 20262.2.2 Neurotechnology Historic Market Share by Regions (2015-2020)2.2.3 Neurotechnology Forecasted Market Size by Regions (2021-2026)2.3 Industry Trends and Growth Strategy2.3.1 Market Top Trends2.3.2 Market Drivers2.3.3 Market Challenges2.3.4 Porters Five Forces Analysis2.3.5 Neurotechnology Market Growth Strategy2.3.6 Primary Interviews with Key Neurotechnology Players (Opinion Leaders) 3 Competition Landscape by Key Players3.1 Global Top Neurotechnology Players by Market Size3.1.1 Global Top Neurotechnology Players by Revenue (2015-2020)3.1.2 Global Neurotechnology Revenue Market Share by Players (2015-2020)3.1.3 Global Neurotechnology Market Share by Company Type (Tier 1, Tier 2 and Tier 3)3.2 Global Neurotechnology Market Concentration Ratio3.2.1 Global Neurotechnology Market Concentration Ratio (CR5 and HHI)3.2.2 Global Top 10 and Top 5 Companies by Neurotechnology Revenue in 20193.3 Neurotechnology Key Players Head office and Area Served3.4 Key Players Neurotechnology Product Solution and Service3.5 Date of Enter into Neurotechnology Market3.6 Mergers & Acquisitions, Expansion Plans 4 Market Size by Type (2015-2026)4.1 Global Neurotechnology Historic Market Size by Type (2015-2020)4.2 Global Neurotechnology Forecasted Market Size by Type (2021-2026) 5 Market Size by Application (2015-2026)5.1 Global Neurotechnology Market Size by Application (2015-2020)5.2 Global Neurotechnology Forecasted Market Size by Application (2021-2026) 6 North America6.1 North America Neurotechnology Market Size (2015-2020)6.2 Neurotechnology Key Players in North America (2019-2020)6.3 North America Neurotechnology Market Size by Type (2015-2020)6.4 North America Neurotechnology Market Size by Application (2015-2020) 7 Europe7.1 Europe Neurotechnology Market Size (2015-2020)7.2 Neurotechnology Key Players in Europe (2019-2020)7.3 Europe Neurotechnology Market Size by Type (2015-2020)7.4 Europe Neurotechnology Market Size by Application (2015-2020) 8 China8.1 China Neurotechnology Market Size (2015-2020)8.2 Neurotechnology Key Players in China (2019-2020)8.3 China Neurotechnology Market Size by Type (2015-2020)8.4 China Neurotechnology Market Size by Application (2015-2020) 9 Japan9.1 Japan Neurotechnology Market Size (2015-2020)9.2 Neurotechnology Key Players in Japan (2019-2020)9.3 Japan Neurotechnology Market Size by Type (2015-2020)9.4 Japan Neurotechnology Market Size by Application (2015-2020) 10 Southeast Asia10.1 Southeast Asia Neurotechnology Market Size (2015-2020)10.2 Neurotechnology Key Players in Southeast Asia (2019-2020)10.3 Southeast Asia Neurotechnology Market Size by Type (2015-2020)10.4 Southeast Asia Neurotechnology Market Size by Application (2015-2020) 11 India11.1 India Neurotechnology Market Size (2015-2020)11.2 Neurotechnology Key Players in India (2019-2020)11.3 India Neurotechnology Market Size by Type (2015-2020)11.4 India Neurotechnology Market Size by Application (2015-2020) 12 Central & South America12.1 Central & South America Neurotechnology Market Size (2015-2020)12.2 Neurotechnology Key Players in Central & South America (2019-2020)12.3 Central & South America Neurotechnology Market Size by Type (2015-2020)12.4 Central & South America Neurotechnology Market Size by Application (2015-2020) 13 Key Players Profiles13.1 General Electric13.1.1 General Electric Company Details13.1.2 General Electric Business Overview13.1.3 General Electric Neurotechnology Introduction13.1.4 General Electric Revenue in Neurotechnology Business (2015-2020))13.1.5 General Electric Recent Development13.2 Siemens Healthcare13.2.1 Siemens Healthcare Company Details13.2.2 Siemens Healthcare Business Overview13.2.3 Siemens Healthcare Neurotechnology Introduction13.2.4 Siemens Healthcare Revenue in Neurotechnology Business (2015-2020)13.2.5 Siemens Healthcare Recent Development13.3 Koninklijke Philips13.3.1 Koninklijke Philips Company Details13.3.2 Koninklijke Philips Business Overview13.3.3 Koninklijke Philips Neurotechnology Introduction13.3.4 Koninklijke Philips Revenue in Neurotechnology Business (2015-2020)13.3.5 Koninklijke Philips Recent Development13.4 Canon Medical Systems13.4.1 Canon Medical Systems Company Details13.4.2 Canon Medical Systems Business Overview13.4.3 Canon Medical Systems Neurotechnology Introduction13.4.4 Canon Medical Systems Revenue in Neurotechnology Business (2015-2020)13.4.5 Canon Medical Systems Recent Development13.5 Shimadzu13.5.1 Shimadzu Company Details13.5.2 Shimadzu Business Overview13.5.3 Shimadzu Neurotechnology Introduction13.5.4 Shimadzu Revenue in Neurotechnology Business (2015-2020)13.5.5 Shimadzu Recent Development13.6 Hitachi Medical13.6.1 Hitachi Medical Company Details13.6.2 Hitachi Medical Business Overview13.6.3 Hitachi Medical Neurotechnology Introduction13.6.4 Hitachi Medical Revenue in Neurotechnology Business (2015-2020)13.6.5 Hitachi Medical Recent Development13.7 Elekta13.7.1 Elekta Company Details13.7.2 Elekta Business Overview13.7.3 Elekta Neurotechnology Introduction13.7.4 Elekta Revenue in Neurotechnology Business (2015-2020)13.7.5 Elekta Recent Development13.8 Tristan Technologies13.8.1 Tristan Technologies Company Details13.8.2 Tristan Technologies Business Overview13.8.3 Tristan Technologies Neurotechnology Introduction13.8.4 Tristan Technologies Revenue in Neurotechnology Business (2015-2020)13.8.5 Tristan Technologies Recent Development13.9 Allengers Medical13.9.1 Allengers Medical Company Details13.9.2 Allengers Medical Business Overview13.9.3 Allengers Medical Neurotechnology Introduction13.9.4 Allengers Medical Revenue in Neurotechnology Business (2015-2020)13.9.5 Allengers Medical Recent Development13.10 Natus Medical13.10.1 Natus Medical Company Details13.10.2 Natus Medical Business Overview13.10.3 Natus Medical Neurotechnology Introduction13.10.4 Natus Medical Revenue in Neurotechnology Business (2015-2020)13.10.5 Natus Medical Recent Development13.11 Magstim10.11.1 Magstim Company Details10.11.2 Magstim Business Overview10.11.3 Magstim Neurotechnology Introduction10.11.4 Magstim Revenue in Neurotechnology Business (2015-2020)10.11.5 Magstim Recent Development 14 Analysts Viewpoints/Conclusions 15 Appendix15.1 Research Methodology15.1.1 Methodology/Research Approach15.1.2 Data Source15.2 Disclaimer15.3 Author Details

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Trending: Neurotechnology Market 2020- Analysis And In-Depth Research On Market Size, Trends, Emerging Growth Factors And Forecast To 2026 - Cole of...

Growth of Facial Recognition Technology Market has been derived from the growing CAGR 2020-2028 – WorldsTrend

Facial Recognition Technology Market is analyzed with industry experts in mind to maximize return on investment by providing clear information needed for informed business decisions. This research will help both established and new entrants to identify and analyze market needs, market size and competition. It explains the supply and demand situation, the competitive scenario, and the challenges for market growth, market opportunities and the threats faced by key players.

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A 360 degree outline of the competitive scenario of the Global Facial Recognition Technology Market is presented by Quince Market Insights. It has a massive data allied to the recent product and technological developments in the markets.

It has a wide-ranging analysis of the impact of these advancements on the markets future growth, wide-ranging analysis of these extensions on the markets future growth. The research report studies the market in a detailed manner by explaining the key facets of the market that are foreseeable to have a countable stimulus on its developing extrapolations over the forecast period.

Companies Covered:NEC Corporation, Aware, Gemalto, Ayonix Face Technologies, Cognitec Systems GmbH, NVISO SA, Daon, StereoVision Imaging, Techno Brain, Neurotechnology, Innovatrics, id3 Technologies, IDEMIA, Animetrics, MEGVII, Idemia, Gemalto NV, Ayonix Corporation, Herta Security, Keylemon SA., Cross Match Technologies, ZK Software, Safran Group (Morpho S.A.), FaceFirst LLC, 3M Cogent Inc., and Animetrics Inc.

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By Technology (2D Facial Recognition, 3D Facial Recognition, and Facial Analytics), By Component (Software, Hardware, and Services), By Application (Law Enforcement, Border Security, Emotion Recognition, Attendance Tracking & Monitoring, Access Control, Homeland Security, Criminal Investigation, Identity Management, Physical Security, Intelligent Signage, Photo Indexing & Sorting, Business Intelligence, and Others), By End User (Government, Medical & Healthcare, Commercial, Military & Defense, and Others)

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Growth of Facial Recognition Technology Market has been derived from the growing CAGR 2020-2028 - WorldsTrend

Meet 10 Companies Working On Reading Your Thoughts (And Even Those Of Your Pets) – Forbes

Brain-machine interfaces (BMI) and brain-computer interfaces (BCI) are devices that enable direct ... [+] communication between a brain and an external device.

Philosopher John Locke said, I have always thought the actions of men the best interpreters of their thoughts. Locke lived during the Age of Enlightenment. He probably wasnt thinking about human machine actions during his philosophical ponderings. But what does it mean when machine actions are the result of human thoughts? No longer part of science fiction, many would argue that brain-machine and brain-computer interfaces are the next way we will communicate with machines and even with one another.

Brain-machine interfaces (BMI) and brain-computer interfaces (BCI) are devices that enable direct communication between a brain and an external device. BCIs let someone type onto a screen without a keyboard. Brain-machine interfaces make it possible for amputees to move robotic limbs. BCIs can be as intricate as placing devices directly on the brain or via devices that communicate directly to machines without invasive surgery.

This type of technology opens a whole world of business applications. From dangerous jobs that already utilize robots to manufacturing, and even the consumer space. Brain-machine interfaces create a new way for humans to interact with technology, whether it be their smartphones, smart speakers, voice assistants, cars, and even each other. Startups and established companies alike realize the promise of brain-machine interfaces. They are racing to link humans to tech and machines, allowing humans to control digital technology using only their minds, which in turn opens up a whole new world of opportunities for businesses and brands to reach the customer of the future.

Here are 10 companies that are working on connecting our brains or actions to our machines and creating the future of input.

Testing out Neurable at FutureX Live in Atlanta in April 2019.

Neurables mission is very exciting. Ramses Alcaide, founder of Neurable, got the idea for helping people with technology when he was a kid after his uncle lost his legs in a trucking accident. Alcaide said, the idea of developing technology for people who are differently abled has been my big, never-ending quest. Neurable launched onto the brain-computer interface scene in 2017 at SIGGRAPH with a proof of concept BCI game called The Awakening. Users put on a VR headset to escape from a room with only their minds. In December 2019, Neurable raised a $6 million Series A round to develop an everyday consumer based brain-computer interface in the form of headphones.

Alcaide sees neurotechnology built into a pair of headphones as the first step towards a BCI for consumers. Think about stopping, starting, or skipping songs with your mind without ever touching your phone. Interacting with smart devices with just our thoughts through a headphone-like device is impressive enough on its own. For Neurable, its the data behind the interactions that show the real value of BCIs.

Cognitive analytics are, measures of different mental states, especially those aligned with performance. BCI enabled headphones could help a person, enter their desired emotion and then have a customized playlist generated to provoke that response. Not to mention open a whole new world of metrics for marketers, training, health professionals, and a variety of other industries. Alcaide believes computing is going to become more spatial. He said, As it continues to go down that path, we need forms of interaction that enable us to more seamlessly interact with our technology.

MindX believes the next frontier in computing is a direct link from the brain to the digital world. Theyre creating this link by combining neurotechnology, augmented reality and artificial intelligence to create a "look-and-think interface for next-generation spatial computing applications. Part of spatial computing, is being able to interact with computers beyond a two-dimensional screen.

MindX uses smart glasses to create a link between human brains and technology. Julia Brown, MindXs CEO, said smart glasses will let wearers access information with a single thought. Glasses connect to the mind from eye movements. Brain waves signal back what the wearer is thinking and where they are looking. BCI enabled smart glasses opens a world of opportunities for visual search. Think about your lost car keys and the smart glasses can locate them. Wonder what someone is wearing and get the brand and link to places to buy from the glasses - all with a thought.

While some brain-computer interface companies focus on understanding the brain and cognitive metrics, others focus on real-time device control. NextMind, headquartered in Paris, France, uses a non-invasive BMI that translates brain signals instantly from the user's visual cortex into digital commands for any device in real-time. NextMind debuted their device at CES 2020. Visitors to the booth demoed changing channels on a TV with just their thoughts.

Testing the NextMind device at CES 2020 and using thoughts to turn on lights and dim them.

Users wear NextMind on the back of their heads. It creates a symbiotic connection with the digital world by combining neural networks and neural signals. The Next Mind SDK is open to developers. Theyre at a price point that the industry believes consumers are ready for the next phase in computer interaction.

Unboxing Neurosity's Notion developer's kit in January 2020.

Neurositys goal is to help developers get focused faster and stay focused longer. Notion (Neurositys thought-powered computer) has eight sensors as part of an EEG headset. In their demo, a woman scrolls through a recipe on her tablet while cooking. In another, a man changes the lighting in the room with his mind. The Notion brain sensor can be pre-ordered. The device touts its secure design saying, it never stores your brainwaves. Something to look out for in a BCI.

Neurosity launched dev kits in 2019. The Neurosity developer community is one of the signs that brain-computer interfaces have arrived. Developers can write apps for Notions brain sensor, which is developed to do two things: to detect human intent and to quantify the self. Think of it like wearing a fitness tracker for the brain. In April 2020, Neurosity temporarily cut the price of Notion pre-orders to $799 for developers. Neurosity pledges their support to developers interested in helping quantify the human mind even further by making their team available to brainstorm, code, and deploy neuro apps.

Kernel is a neurotechnology company based in Los Angeles, California. Their aim is to create a brain interface that develops real-world applications of high-resolution brain activity. Kernals founder and CEO, Bryan Johnson, believes in a world where people are empowered by technology, not limited by it. He sees neuroscience, specifically Kernals neuroscience as a service (NaaS) as a way to get there. Kernel was featured in I Am Human, a 2020 award-winning documentary about the the scientists and entrepreneurs on a quest to unlock the secrets of the brain.

Kernel created two different experiments with their technology. One is Speller which allows participants to type with only their gaze and a visual keyboard. The other is Sound ID that can decode song IDs based on the brain signals from the listener. These experiments show that with just a helmet, brain scientists can run the same type of experiments as those in labs with room size equipment. With the use of a helmet, brain scientists can study thousands of more people than they can currently. Johnson believes this can help people who have suffered strokes and are unable to speak or those dealing with mental disorders.

There are so many applications when it comes to brain-machine interfaces and neuroscience. Nectomes technology is developed to preserve human memory by studying how the brain physically creates memories. Nectome isnt just creating a BMI for the present. Theyre hoping to change how people preserve the languages, cultures, and wisdom of the past, and how health care engages with individuals memories and personal narratives.

President of Y Combinator, Sam Altman, is one of 25 people who have put down a $10,000 refundable deposit to join a waiting list at Nectome. The only catch is, Nectome needs a living brain to capture the memories. The procedure kills the patient. Nectome planned to test it with terminally ill volunteers in California, which permits doctor-assisted suicide for those patients. Sam said of the procedure, I assume my brain will be uploaded to the cloud. The startup has faced some setbacks but seems to still be in operation.

Eventually, Nectome believes their biological preservation techniques will be like an episode from Amazons Upload TV series. At the end of their life, patients can choose to upload themselves into a digital afterlife.

CRTL-Labs uses non-invasive neural interfaces to expand human bandwidth. CRTL-Labs recreates the 0s and 1s of neurons by listening to muscle twitches. They send the signals into machine learning to decode a persons intention. This network is fed back to the wearer to create a symbiotic relationship. Thomas Reardon, CEO of CRTL-Labs said, AI and Machine Learning can be dominated by us. CRTL-Labs does all of this with a wristband.

Facebooks leadership have talked about a new type of interface that includes work around direct brain interfaces that are going to, eventually, one day, let you communicate using only your mind. In September 2019, they bought CRTL-Labs and have said the following about the acquisition, The goal is to eventually make it so that you can think something and control something in virtual or augmented reality.

Neuralink is a company owned by none other than Elon Musk. The man who made electric cars cool (Tesla) and sends astronauts to space is his own spacecraft (SpaceX) also wants to connect humans to machines. Neuralink takes a slightly different approach to brain-machine interfaces by placing threads into the brain. Elon Musk wants his brain implants to stop humans being outpaced by artificial intelligence.

Neuralink threads are connected to a 4mm chip called the N1. The chips are placed close to important parts of the brain and are able to detect messages as they are relayed between neurons, recording each impulse and stimulating their own. The chip connects to a wireless device worn over the ear which is Bluetooth enabled. Currently, the chip is placed via traditional brain surgery but Musk envisions the chip will be inserted virtually painlessly in the future. Applications for the Neuralink are endless - from treating neurological disorders to replacing language, and eventually turning humans into cyborgs.

Paradromics developed brain-computer interface technology to help those disconnected from the world by mental illness, paralysis, or other types of brain disorders. Paradromics believes they can meet medical challenges with technical solutions. That is, a high-data rate brain-computer interface. Similar to the Neuralink, Paradromics places electrode arrays on the brain. They do this with a computer chip that plugs into a part of the brain called the cortex. With Paradromics technology, mental disorders and injuries no longer have to be debilitating. They can connect those affected back to the world.

Brain-computer interfaces arent just for people. Zoolingua, owned by Con Slobodchikoff, wants people to understand dogs. Their device will allow both dog and human to communicate in both directions. The translating dog collar from the movie UP is coming to real life. Zoolingua bases their technology on research. Observing (through video) dog vocalizations and behavior in specific contexts; classifying the complex forms of communication that occur; and working with computer programs to effectively and accurately decode and translate into US-English.

According to an Amazon report, advances in AI and machine learning will enable companies to make devices that can accurately translate a cats meows and a dogs barks into English. William Higham, co-author of the report, believes devices that can talk dog could be less than 10 years away.

All these companies are working on the future of input.

Separate from Zoolingua, another example of someone working on decoding Fidos thoughts is Dr. Gregory Berns from Emory University. He is a neuroscientist whos also interested in what dogs think. Dr. Berns developed a go/no-go test to scan dog brains in M.R.I machines. The results show dogs use corresponding parts of their brain to solve similar tasks as people do. This isnt something seen in non-primates before.

Neuroscience technology is a quickly developing field. Its one with endless applications for understanding the brain, unlocking human potential, and preserving todays minds for the future. Some of the companies listed above are working towards specific use cases. Some use direct-brain sensors while others use non-invasive devices.

What each brain-machine interface company has in common is that they see the world as a connected place. Its going to become even more so. The future of computing is beyond two-dimensional interactions. Its more than voice, facial recognition, artificial intelligence, and augmented reality.

Its all these things coming together under the power of the human brain.

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Meet 10 Companies Working On Reading Your Thoughts (And Even Those Of Your Pets) - Forbes

Vagus Nerve Stimulation Breakthrough Suggests Route To Therapies for Arthritis, Heart Failure – Technology Networks

A new paper provides timely evidence to explain the therapeutic benefits of vagal nerve stimulation(VNS), a nervous system-modifying treatment that proponents say could offer relief to patients with lupus, arthritis and even heart failure.

Its a prospect that sounds too good to be true. One 20-minute outpatient surgery could lead to relief from epilepsy, depression, arthritis, heart failure and lupus. Thats the ultimate promise of VNSn, a technique that has accrued interest from enthusiastic startups and major biopharma firms alike.

Importantly, it has also accrued some convincing evidence to back up at least some of its claims VNS has been approved by the FDA as a therapy for treatment-resistant depression and epilepsy. As of 2015, 100,000 people worldwide had received a VNS implant.

But large gaps remain in our understanding of how VNS works. One of those gaps has now been plugged with the publication of a paper investigating how a technique called anodal block works to allow targeted stimulation during VNS. The research team behind the paper, led by Dr Stavros Zanos, have published their work in Scientific Reports.

VNS involves implanting electrodes on the vagal nerve near the carotid artery in the neck. The vagal nerve is in charge of routing signals between the brain and the peripheral organs. As Zanos, an assistant professor in the Institute of Bioelectronic Medicine at the Feinstein Institutes for Medical Research, explains, this means it is a uniquely attractive target for neurotechnology. This is primarily the nerve that the brain uses to convey information to the organs and change the way they function. And also, it's the main nerve through which information about the function of the organs is conveyed back into the brain. Because it's such an important nerve for ongoing physiology, it's a very attractive target for neuromodulation, says Zanos.

During VNS implantation, a pair of electrodes is attached to the vagus nerve. Depending on the electrode polarity, signals to or from the brain are stimulated or blocked when the VNS device is activated.

But the nervous system is a little more complicated than a two-lane highway. Nerve fibers sending signals in different directions exist within these larger bundles. Getting the level of stimulation right to ensure therapeutic benefit is of central importance, but is currently done quite crudely, Zanos tells me: The way VNS is done clinically is by increasing intensity. The healthcare provider changes some parameters, most notably the intensity, until the patient starts getting some side effects. Typically, those side effects have to do with contraction of the laryngeal muscles, so it causes coughing, and voice hoarseness.

This is far from optimal, and Zanos says that fine-tuning the approach is a priority. If we wanted to deliver an individualized therapy, we would have to know exactly how we're affecting the physiology of a specific individual, he says.

Anodal block is a central tenet of the current surgical procedure. The precise placement of the VNS electrodes can limit nerve conduction in the fibers under the positively charged anode back in the simplified highway example, this is the equivalent of setting up a tollbooth for traffic going in one direction the flow is slowed, if not stopped. But evidence that anodal block works this way in practice was sorely lacking from the wider literature. Would it be possible to find a biomarker, Zanos wondered, that could show that anodal block works as intended?Zanos and his team investigated this possibility by carrying out experiments with rats. Firstly, they needed to see what would happen when electrical impulses up and down the vagus highway were stopped entirely. The rodents had VNS devices implanted, and then had their vagus nerve cut either above or below the implant completely ending any vagus electrical stimulation towards the brain or the peripheral organs, respectively.

Zanos team noticed a consistent marker. Rats with intact vagus nerves showed a heavy reduction in their breathing and heart rates. When the same rats had their vagus nerve severed near the brain, the rats breathing rates returned to normal whilst the heart rate remained low. Severing the nerve nearer to the body had the opposite effect.

This told Zanos team that:

With these easy-to-measure markers identified, the next step was to work out whether breathing and heart rate were consistently affected by anodal block.The theories behind anodal block suggested that if the anode polarity was towards the brain, then the VNS devices effects on breathing rate would be reduced. Anode polarity facing the body would impair the effects on heart rate.

Whilst the same drastic changes seen in the first experiment were not present the rats in this group had intact vagus nerves, so signals still traveled both ways Zanos noted that their results supported the theories around anode block in a large number of the rats studied.

Importantly, these results werent consistent across all the rats studied. Three rats actually showed reversed effects. This paradox, says Zanos, is likely to be explained by the stimulation of the nearby aortic depressor nerve by the VNS. This unintended stimulation hasnt proved an issue in human VNS studies, so is likely to be a quirk only seen in certain rodents.

Even if the inconsistent data has an explanation, the study still highlights that the mechanisms behind VNS would be much easier to understand if those individual types of nerve fiber could be better identified. Zanos says this will be the target of an upcoming paper that should advance understanding in the area further. In the upcoming paper, says Stavros, We look at even finer relationships between some of these biomarkers; heart rate, breathing rate, but also additional biomarkers with the activation of specific fiber types.

Zanos suggests his teams data supports the idea that anodal block can make VNS more directional and targeted. But there is obviously more research to be done to support our understanding of why VNS works. This, says Zanos, could lead to the technique meeting its potential sooner than we might think. He highlights two US-based companies, LivaNova and Set Point Medical, who are investigating VNS for heart failure and rheumatoid arthritis respectively. My guess is that in the next two or three years at least one of these [companies], based on what I what I see in preliminary reports, will be successful, and VNS will be part of the therapeutic options for physicians for these two diseases.

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Vagus Nerve Stimulation Breakthrough Suggests Route To Therapies for Arthritis, Heart Failure - Technology Networks

2020 Judges, FAQ, and Nominations – MIT Technology Review

Nominations

To nominate someone for the MIT Technology Review global list of 35 young innovators, pleaseclick here to visit our nomination page.

For answers to Frequently Asked Questions about the MIT Technology Review global list of 35 young innovators, pleaseclick here to visit our FAQ page.

Nora Ayanian, Associate Professor, Andrew and Erna Viterbi Early Career Chair, Computer Science, University of Southern California; Burcin Becerik-Gerber, Professor of Civil and Environmental Engineering and Director of the Center for Intelligent Environments, University of Southern California; David Berry, CEO, Integral Health; General Partner, Flagship Pioneering; Ed Boyden, Y. Eva Tan Professor in Neurotechnology, MIT; Yet-Ming Chiang, Kyocera Professor, Materials Science and Engineering, MIT; James Collins, Termeer Professor, MIT; John Dabiri, Centennial Professor of Aeronautics and Mechanical Engineering, Caltech; Gozde Durmus, Assistant Professor, Stanford University; Oren Etzioni, CEO, Allen Institute for AI, Professor of Computer Science, University of Washington; David Fattal, Founder and CEO, Leia Inc.; Chelsea Finn, Assistant Professor of Computer Science and Electrical Engineering, Stanford University; Javier Garcia Martinez, Professor of Inorganic Chemistry, University of Alicante, Spain; President-elect, IUPAC; Julia Greer, Mettler Professor of Materials, Mechanics, and Medical Engineering, Caltech; Zhen Gu, Professor, University of California, Los Angeles; Ilan Gur, Founder and CEO, Activate; Ayanna Howard, Linda J. and Mark C. Smith Professor and Chair, School of Interactive Computing, Georgia Tech; Hao Li, CEO, Pinscreen, Associate Professor, University of Southern California; Director, USC Institute for Creative Technologies; Nicole Paulk, Assistant Professor, University of California, San Francisco; Carmichael Roberts, Founder, Material Impact; John Rogers, Simpson/Querrey Professor of Materials Science and Engineering, Biomedical Engineering, and Neurological Surgery, Northwestern University; Rachel Sheinbein, Venture Partner, Lemnos; Cyrus Wadia, Head of Sustainable Product, Amazon; Jennifer West, Fitzpatrick Family Professor of Engineering, Duke University; Jackie Ying, A*STAR Senior Fellow, NanoBio Lab; Ben Zhao, Neubauer Professor of Computer Science, University of Chicago

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2020 Judges, FAQ, and Nominations - MIT Technology Review

Impact of COVID-19 Outbreak on Global Face and Voice Biometrics Market 2020 Industry Size, Advancement Strategy, Top Players, SWOT Analysis and 2025…

Global Face and Voice Biometrics Market Research report 2020 provides overview including size, share, industry growth, product scope, development plans, regions trends, consumptions, demand factors, types and application and value chain structure. The Global Face and Voice Biometrics analysis is also provided for the international markets including market opportunities, investment plans, historical data and research expert opinions.

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Impact of COVID-19 Outbreak on this Market:

The rise of COVID-19 has brought the world to a halt. We comprehend that this health crisis has brought an unprecedented impact on organizations across industries. However, this too shall pass. Rising helps from governments and several companies can help in the battle against this highly contagious disease. There are few industries that are struggling and some are thriving. Almost every organization is anticipated to be impacted by the pandemic.

We are taking continuous efforts to help your business to continue and develop COVID-19 pandemics. In light of our experience and expertise, we will offer you an impact analysis of coronavirus outbreak across industries to help you prepare for the future.

Key players in global Face and Voice Biometrics market include:,3M Cogent (USA),NEC Corporation of America (USA),AcSys Biometrics Corp. (Canada),AGNITiO S.L. (Spain),Cognitec Systems GmbH (Germany),Nuance Communications, Inc. (USA),Eurotech S.P.A (Italy),Ivrnet Inc. (Canada),Kimaldi Electronics, S.L. (Spain),National Security Resources (USA),Neurotechnology (Lithuania),PSP Security Co. Ltd (Hong Kong),SAFRAN Group (France),Sensible Vision (USA),Sensory, Inc. (USA),Suprema, Inc. (Korea),VoiceTrust eServices, Inc. (Canada),VoiceVault, Inc. (USA

Market segmentation, by product types:,Face Biometrics,Voice Biometric

Market segmentation, by applications:,Banking, Financial Services & Insurance (BFSI),Government & Law Enforcement,Military & Defense,Healthcare,Commercial,IT & Telecom,Other

Target Audience:* Face and Voice Biometrics Manufactures* Traders, Importers, and Exporters* Raw Material Suppliers and Distributors* Research and Consulting Firms* Government and Research Organizations* Associations and Industry Bodies

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Research Methodology:

The research methodology that has been used to forecast and estimate the global Face and Voice Biometrics market consists of primary and secondary research methods. The primary research include detailed interview with authoritative personal such as directors, CEO, executives, and VPs.Sales, values, capacity, Revenue, regional market examination, section insightful information, and market forecast are including technical growth scenario, consumer behavior, and end use trends and dynamics, and production capacity were taken into consideration. There are Different weightageswhich have been allotted to these parameters and evaluated their market impacts using the weighted average analysis to derive the market growth rate.

The Market estimates and Industry forecast have beenconfirmed through exhaustive primary research with the Key Industry Participants (KIPs), which typically include:* Manufacturers* Suppliers* Distributors* Government Body & Associations* Research Institutes

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Orian Research is one of the most comprehensive collections of market intelligence reports on the World Wide Web. Our reports repository boasts of over 500000+ industry and country research reports from over 100 top publishers. We continuously update our repository so as to provide our clients easy access to the worlds most complete and current database of expert insights on global industries, companies, and products. We also specialize in custom research in situations where our syndicate research offerings do not meet the specific requirements of our esteemed clients.

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Impact of COVID-19 Outbreak on Global Face and Voice Biometrics Market 2020 Industry Size, Advancement Strategy, Top Players, SWOT Analysis and 2025...

Read Only Memories: Neurodiver Gets PS4, Xbox One, And PC Release Window – Noisy Pixel

Midboss revealed their new mystery adventureRead Only Memories: Neurodiver, now coming to PlayStation 4 and Xbox One in Q1 2021 alongside the already announced PC and Mac versions.

Read Only Memories: Neurodiverhas players return to the cyberpunk world of2064: Read Only Memories. The game will feature a cast of recognizable characters including Jess Meas, Tomcat, and Lexi Rivers. However, this title introduces new characters, locations, and gameplay mechanics for players to discover.

A new ability inRead Only Memories: Neurodiverwill give players the ability to dive into and change other characters memories. The game will also feature updated art and a variety of new unsolved cases to crack and multiple endings.

Read Only Memories: Neurodiverhas players assume the role of ES88, a telepath employed by a powerful organization called MINERVA, which specializes in neurotechnology and extrasensory projection phenomena. After a procedure, giving ES88 the ability to dive into others memories, she had to give up her own memories in exchange. A rogue Esper is on the loose and wreaking havoc through the streets. Players will need to do what they can to track down this rogue and access her memories.

You can watch the console reveal trailer below to get a preview of some of the new content:

Excerpt from:

Read Only Memories: Neurodiver Gets PS4, Xbox One, And PC Release Window - Noisy Pixel

Facial Recognition Market Report 2020 Industry Size, Share, Growth, Trends, Sales Revenue, Business Strategies, Key Countries Analysis by Leading…

This report focuses on the Covid-19 Impact on Facial Recognition Market status, future forecast, growth opportunity, key market and key players. The study objectives are to present Covid-19 Impact on Facial Recognition Market development in United States, Europe and China. In 2019, Covid-19 Impact on Facial Recognition Market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2020-2025.

Leading Companies Reviewed in the Report are:

NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems GmbH, Gemalto NV, Animetrics, Daon, Id3 Technologies, Idemia, Innovatrics, Megvii, Neurotechnology, NVISO SA, StereoVision Imaging, Inc., Techno Brain Group, etc.

Get Exclusive Sample of Report on Facial Recognition market is available @ https://www.adroitmarketresearch.com/contacts/request-sample/908

The report also summarizes the various types of Covid-19 Impact on Facial Recognition Market. Factors that influence the market growth of particular product category type and market status for it. A detailed study of Covid-19 Impact on Facial Recognition Market has been done to understand the various applications of the products usage and features. Readers looking for scope of growth with respect to product categories can get all the desired information over here, along with supporting figures and facts.

The comprehensive value chain analysis of the Facial Recognition market will assist in attaining better product differentiation, along with detailed understanding of the core competency of each activityinvolved. The Facial Recognition market attractiveness analysis provided in the report aptly measures the potential value of the market providing business strategists with the latest growth opportunities.

The report classifies the Facial Recognition market into different segments based on product, material, and application. These segments are studied in detail incorporating the market estimates and forecasts at regional and country level. The segment analysis is useful in understanding the growth areas and probable opportunities of the Facial Recognition market.

Browse the complete report @ https://www.adroitmarketresearch.com/industry-reports/facial-recognition-market

Global Facial Recognition Market is segmented based by type, application and region.

Based on Type, the Market has been segmented into:

by Technology (2D facial recognition, 3D facial recognition, facial analytics recognition), Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

Based on application, the Market has been segmented into:

By Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

This market research report provides a big picture on Facial Recognition Market, on a Global basis, offering a forecast and statistic in terms of revenue during the forecast period. The report covers a descriptive analysis with detailed segmentation, complete research and development history, latest news and press releases. Furthermore, the study explains the future opportunities and a sketch of key players involved in the Facial Recognition Market hike in terms of revenue.

Every crucial and decisive detail for the development of the market and the restraining factors that may hamper the Facial Recognition market in near future is mentioned with solutions in the report. Segmentations of the market are studied specifically to give profound knowledge for supplementary market investments. Detailed segmentation of the market, on the basis of Type and Application and a descriptive structure of trends and restrictions of the segments and sub-segments are mentioned in the report. It also provides the market size and estimates a forecast to 2025 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The report also provides exhaustive PEST analysis for all five regions after evaluating political, economic, social and technological factors.

For Any Query on the Facial Recognition Market @ https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/908

About Us :

Adroit Market Research is an India-based business analytics and consulting company incorporated in 2018. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a Markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable Market insights to help create opportunities that increase their revenues. We follow a code- Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

Contact Us :

Ryan JohnsonAccount Manager Global3131 McKinney Ave Ste 600, Dallas,TX75204, U.S.A.Phone No.: USA: +1 972-362 -8199/ +91 9665341414

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Facial Recognition Market Report 2020 Industry Size, Share, Growth, Trends, Sales Revenue, Business Strategies, Key Countries Analysis by Leading...

Partnership brings together education and diagnostic tool on concussion – Med-Tech Innovation

Neurotechnology and brain health analytics player SyncThink and concussion education technology specialist TeachAids have announced a partnership to bring together concussion prevention education and a virtual reality diagnostic tool.

CrashCourse is an interactive educational module that teaches athletes, parents and coaches about concussions. It includes scientific knowledge and helps to dispel myths and misconceptions about the concussion recovery process. This, alongside EYE-SYNC, which allows a clinician to use analysis to decipher between brain systems to determine whether a patient may be performing poorly or impaired, will create a brain health education and evaluation system.

Piya Sorcar, founder of TeachAids, said: There is great synergy between our two organisations. This partnership offers the latest concussion education and combines it with mobile, objective measurement technology.

This implementation will be available to all SyncThink partners which include top athletic organisations and clinical partners providing medical care and education for over 10,000 high school and college athletes. Future functionality may also allow for a CrashCourse certification process within the SyncThink User Management Portal. This implementation could make tracking those who receive concussion education easier while complying with sport governing bodies educational requirements.

SyncThink founder and medical advisor to TeachAids, Jamshid Ghajar said: "Using the SyncThink platform to feature the CrashCourse educational technology for athletes and coaches is brilliant. Now clinicians can use the Eye-Sync tests and metrics alongside CrashCourses latest evidence-based information on concussion."

Currently, Eye-Syncprovides a battery of eye tracking assessments, as well as numerous clinical workflow enhancers, making it possible for the clinician to capture objective data in a shorter period of time. CrashCourse will also be made available through this interface, allowing clinicians to provide critical and timely educational information to their patients and partners in the community.

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Partnership brings together education and diagnostic tool on concussion - Med-Tech Innovation

NeuroOne Medical Technologies Corp. Appoints Vanessa Tolosa to Scientific Advisory Board: Leading Researcher in Neurotech to Guide Further Development…

NeuroOne Medical Technologies Corporation (OTCQB: NMTC; NeuroOne), a medical technology company focused on improving surgical care options and outcomes for patients suffering from neurological disorders, announces today the appointment of Vanessa Tolosa to its Scientific Advisory Board. Tolosa, one of the founding members of Neuralink Corp., a company started by Elon Musk to build a complete Brain-Machine Interface, brings specialized expertise that the company believes will help expedite its further development of thin-film electrodes that provide long-term stimulation for treatment of neurological applications, such as epilepsy, Parkinsons disease, failed back surgery syndrome and other neurological applications that may benefit from high-density thin film electrode technology.

"We are pleased to have such a distinguished, highly regarded scientific leader and pioneer as Vanessa on our advisory board," says Dave Rosa, president and CEO, NeuroOne. "Vanessa has over 10 years of specialized experience developing implantable neural devices. She shares our passion in transitioning these technologies from the bench top and bringing them to patients who are in desperate need. Her exceptional experience in this field will contribute greatly to NeuroOnes vision, goals and future direction."

Most recently at Neuralink, Tolosa worked to develop a Brain Machine Interface for medical use and beyond. As director of neural interfaces, she directed the design, prototyping, development and testing of technologies related to implantable microelectrodes, electronics micro-assembly and hermetic packaging. Previously, at Lawrence Livermore National Laboratories (LLNL), Tolosa led all implantable neurotechnology efforts, including high-density electrode technology.

Among her credits, Tolosa won the 2019 Gold Electrode Researcher of the Year Award from Neurotech Reports, the 2015 LLNL Early-Mid Career Researcher Award and the 2015 DARPA Riser Award. She holds eight issued patents with five pending applications in this field. Tolosa earned a B.S. in Chemical Engineering from the University of Florida and a Ph.D. in Chemical Engineering from the University of California, Los Angeles.

Tolosa states, "NeuroOne is bringing unique thin-film electrodes to the marketplace, and I look forward to helping them refine their implantable neural technology that addresses chronic treatments, as well as making enhancements to its FDA-cleared Evo cortical electrode line."

About NeuroOne

NeuroOne Medical Technologies Corporation is a developmental stage company committed to providing minimally invasive and hi-definition solutions for EEG recording, brain stimulation and ablation solutions for patients suffering from epilepsy, Parkinson's disease, essential tremors and other related neurological disorders that may improve patient outcomes and reduce procedural costs. Visit https://www.n1mtc.com/.

Forward Looking Statements

This press release may include forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Except for statements of historical fact, any information contained in this presentation may be a forwardlooking statement that reflects the Company's current views about future events and are subject to known and unknown risks, uncertainties and other factors that may cause our actual results, levels of activity, performance or achievements to be materially different from the information expressed or implied by these forward-looking statements. In some cases, you can identify forwardlooking statements by the words "may," "might," "will," "could," "would," "should," "expect," "intend," "plan," "objective," "anticipate," "believe," "estimate," "predict," "project," "potential," "target," "seek," "contemplate," "continue" and "ongoing," or the negative of these terms, or other comparable terminology intended to identify statements about the future. Forwardlooking statements may include statements regarding the Company's regulatory submissions, potential regulatory approval, commercialization of the technology, business strategy, market size, potential growth opportunities, plans for product applications and product development, future operations, future efficiencies, and other financial and operating information. Although the Company believes that we have a reasonable basis for each forward-looking statement, we caution you that these statements are based on a combination of facts and factors currently known by us and our expectations of the future, about which we cannot be certain. Our actual future results may be materially different from what we expect due to factors largely outside our control, including our ability to raise additional funds, uncertainties inherent in the development process of our technology, changes in regulatory requirements or decisions of regulatory authorities, the size and growth potential of the markets for our technology, our ability to serve those markets, the rate and degree of market acceptance of our products, clinical trial patient enrollment, the results of clinical trials, future competition, the actions of third-party clinical research organizations, suppliers and manufacturers, our ability to protect our intellectual property rights and other risks, uncertainties and assumptions, including those described under the heading "Risk Factors" in our filings with the Securities and Exchange Commission. These forwardlooking statements speak only as of the date of this press release and the Company undertakes no obligation to revise or update any forwardlooking statements for any reason, even if new information becomes available in the future.

"Caution: Federal law restricts this device to sale by or on the order of a physician"

View source version on businesswire.com: https://www.businesswire.com/news/home/20200428005038/en/

Contacts

Media:Brittany TedescoCPR Communicationsbtedesco@cpronline.com 201.641.1911 x 14

Investor Relations:Leah NoaeillSr. Director of MarketingNeuroOne Medical Technologies Corporationleahn@n1mtc.com

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NeuroOne Medical Technologies Corp. Appoints Vanessa Tolosa to Scientific Advisory Board: Leading Researcher in Neurotech to Guide Further Development...


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