Category Archives: Neurotechnology

The latest report on ' Neurotechnology market' Added by Market Study Report, LLC, provides a concise analysis of the industry size, revenue forecast and regional spectrum of this business. The report further illustrates the major challenges and the latest growth strategies adopted by key players who are a part of the dynamic competitive spectrum of this industry.

The latest Neurotechnology market report covers all important aspects like growth driving factors, opportunities, and challenges that will govern the industry dynamics in the upcoming years. Besides, it offers an in-depth analysis of various industry segmentations to deliver a clear picture of the top revenue prospects in this business sphere.

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According to seasoned experts, the market is expected to witness modest gains while registering a CAGR of XX% over the analysis period 2021-2026.

Speaking of the major developments in recent times, the global health crisis of Covid-19 has turned out to be a terrifying experience for most businesses except for healthcare industries. Although some have effectively modified their strategies or revisited the mission of the entire company to ensure success, others continue to face an influx of difficulties. Our meticulous research on this industry vertical aims to answer all your queries regarding the evolving environment and help you excel in the coming years.

Key points from the Neurotechnology market report:

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Neurotechnology market segmentation:

Competitive outlook:

Regional bifurcation: North America, Europe, Asia-Pacific, South America, Middle East and Africa

Product types:

Applications spectrum:

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Neurotechnology Market to Exhibit Impressive Growth of CAGR during the period 20 - GroundAlerts.com

Since the early 1990s, there has been a technological revolution unfolding before our very eyes. Today, individuals are more reliant on technology than ever before. A whopping 97% of Americans own a cell phone, and 85% own a smartphone, according to the Pew Research Center.

This progressive trend has arguably provided incredible societal and cultural benefits for the average user effortless and swift communication with others may promote a feeling of enhanced connection, especially in the current moment.

Moreover, online trends leveraging social media to advocate for civic engagement can be beneficial. However, multiple studies prove that social media and electronic device addiction harms those who succumb to the pressures of obsessive technology.

Phone applications and cellular devices themselves are specifically designed to encourage dependency. For companies such as Samsung and Apple or platforms like Instagram, a successful product is one that keeps its users constantly engaged. Active, constant interaction drives profit.

Thus, cell phones have become an essential part of American life.

In many ways, humans themselves have become semi-bionic creatures. Though a fully bionic creature would have permanent electronic body parts, people today can feel lost and even experience panic and anxiety when they are without their electronic devices.

This trend will probably continue. Already, Elon Musks Neuralink Corporation, which is developing neurotechnology for permanent implantable brainmachine interfaces, plans to start testing new technology on humans as early as this year.

Do humans depend on technology too much as is? Studies on app and phone use may argue we do.

Individuals with high social media use actually felt more isolated than others, according to a 2017 study published in the American Journal of Preventive Medicine. In addition, there is an association between passive social media use and symptoms of depression such as fatigue and loneliness, according to a 2019 study published in the Journal of Experimental Psychology.

While the negative effects of prolonged phone and social media usage can have negative consequences on mental health, they can cause

physical musculoskeletal harm as well. A direct relationship was found between phone addiction and neck disability, according to a 2017 study published by King Saud University.

The science is clear: Phone addiction is unhealthy and can be extremely damaging to mental and physical health.

The multiple studies that prove how harmful cell phone addiction is should be alarming. Society is faced with a very problematic paradox: Phones are extremely addictive, people are extremely dependent on them and this dependence can cause harmful disabilities, yet we cant seem to live without them in the modern technological era.

What should one do about this perplexing issue? Conscious and mindful phone use can provide a useful alternative to the phone use that plagues many Americans.

While it is not the average users fault that phones are constructed specifically to induce hyper dependency and fixation, a conscious citizen can resist phone addiction by limiting screen time, turning off notifications and deleting unhealthy applications. In regards to Musks Neuralink, one can only hope that such emerging technology will bring some good to humanity.

See the rest here:

I Call Foul Play: Overusing smartphones does more harm than good The Daily Free Press - Daily Free Press

Some weeks ago, a nine-year-old macaque monkey called Pager successfully played a game of Pong with its mind.

While it may sound like science fiction, the demonstration by Elon Musks neurotechnology company Neuralink is an example of a brain-machine interface in action (and has been done before).

A coin-sized disc called a Link was implanted by a precision surgical robot into Pagers brain, connecting thousands of micro threads from the chip to neurons responsible for controlling motion.

Brain-machine interfaces could bring tremendous benefit to humanity. But to enjoy the benefits, well need to manage the risks down to an acceptable level.

Pager was first shown how to play Pong in the conventional way, using a joystick. When he made a correct move, hed receive a sip of banana smoothie. As he played, the Neuralink implant recorded the patterns of electrical activity in his brain. This identified which neurons controlled which movements.

The joystick could then be disconnected, after which Pager played the game using only his mind doing so like a boss.

This Neuralink demo built on an earlier one from 2020, which involved Gertrude the Pig. Gertrude had the Link installed and output recorded, but no specific task was assessed.

Read more: Neuralink put a chip in Gertrude the pig's brain. It might be useful one day

According to Neuralink, its technology could help people who are paralysed with spinal or brain injuries, by giving them the ability to control computerised devices with their minds. This would provide paraplegics, quadriplegics and stroke victims the liberating experience of doing things by themselves again.

Prosthetic limbs might also be controlled by signals from the Link chip. And the technology would be able to send signals back, making a prosthetic limb feel real.

Cochlear implants already do this, converting external acoustic signals into neuronal information, which the brain translates into sound for the wearer to hear.

Neuralink has also claimed its technology could remedy depression, addiction, blindness, deafness and a range of other neurological disorders. This would be done by using the implant to stimulate areas of the brain associated with these conditions.

Brain-machine interfaces could also have applications beyond the therapeutic. For a start, they could offer a much faster way of interacting with computers, compared to methods that involve using hands or voice.

A user could type a message at the speed of thought and not be limited by thumb dexterity. Theyd only have to think the message and the implant could convert it to text. The text could then be played through software that converts it to speech.

Perhaps more exciting is a brain-machine interfaces ability to connect brains to the cloud and all its resources. In theory, a persons own native intelligence could then be augmented on demand by accessing cloud-based artificial intelligence (AI).

Human intelligence could be greatly multiplied by this. Consider for a moment if two or more people wirelessly connected their implants. This would facilitate a high-bandwidth exchange of images and ideas from one to the other.

In doing so they could potentially exchange more information in a few seconds than would take minutes, or hours, to convey verbally.

But some experts remain sceptical about how well the technology will work, once its applied to humans for more complex tasks than a game of Pong. Regarding Neuralink, Anna Wexler, a professor of medical ethics and health policy at the University of Pennsylvania, said:

neuroscience is far from understanding how the mind works, much less having the ability to decode it.

At the same time, concerns about such technologys potential harm continue to occupy brain-machine interface researchers.

Without bulletproof security, its possible hackers could access implanted chips and cause a malfunction or misdirection of its actions. The consequences could be fatal for the victim.

Some may worry powerful artificial AI working through a brain-machine interface could overwhelm and take control of the host brain.

The AI could then impose a master-slave relationship and, the next thing you know, humans could become an army of drones. Elon Musk himself is on record saying artificial intelligence poses an existential threat to humanity.

He says humans will need to eventually merge with AI, to remove the existential threat advanced AI could present:

My assessment about why AI is overlooked by very smart people is that very smart people do not think a computer can ever be as smart as they are. And this is hubris and obviously false.

Musk has famously compared AI research and development with summoning the demon. But what can we reasonably make of this statement? It could be interpreted as an attempt to scare the public and, in so doing, pressure governments to legislate strict controls over AI development.

Musk himself has had to negotiate government regulations governing the operations of autonomous and aerial vehicles such as his SpaceX rockets.

The crucial challenge with any potentially volatile technology is to devote enough time and effort into building safeguards. Weve managed to do this for a range of pioneering technologies, including atomic energy and genetic engineering.

Autonomous vehicles are a more recent example. While research has shown the vast majority of road accidents are attributed to driver behaviour, there are still situations in which AI controlling a car wont know what to do and could cause an accident.

Read more: Are autonomous cars really safer than human drivers?

Years of effort and billions of dollars have gone into making autonomous vehicles safe, but were still not quite there. And the travelling public wont be using autonomous cars until the desired safety levels have been reached. The same standards must apply to brain-machine interface technology.

It is possible to devise reliable security to prevent implants from being hacked. Neuralink (and similar companies such as NextMind and Kernel) have every reason to put in this effort. Public perception aside, they would be unlikely to get government approval without it.

Last year the US Food and Drug Administration granted Neuralink approval for breakthrough device testing, in recognition of the technologys therapeutic potential.

Moving forward, Neuralinks implants must be easy to repair, replace and remove in the event of malfunction, or if the wearer wants it removed for any reason. There must also be no harm caused, at any point, to the brain.

While brain surgery sounds scary, it has been around for several decades and can be done safely.

According to Musk, Neuralinks human trials are set to begin towards the end of this year. Although details havent been released, one would imagine these trials will build on previous progress. Perhaps they will aim to help someone with spinal injuries walk again.

The neuroscience research needed for such a brain-machine interface has been advancing for several decades. What was lacking was an engineering solution that solved some persistent limitations, such as having a wireless connection to the implant, rather than physically connecting with wires.

On the question of whether Neuralink overstates the potential of its technology, one can look to Musks record of delivering results in other enterprises (albeit after delays).

The path seems clear for Neuralinks therapeutic trials to go ahead. More grandiose predictions, however, should stay on the backburner for now.

A human-AI partnership could have a positive future as long as humans remain in control. The best chess player on Earth is not an AI, nor a human. Its a human-AI team known as a Centaur.

And this principle extends to every field of human endeavour AI is making inroads into.

Read the rest here:

Neuralink's monkey can play Pong with its mind. Imagine what humans could do with the same technology - The Conversation AU

Neuralink says its brain implant allows a monkey to play Pong with its mind (Picture: Neuralink)

David Tuffley, senior lecturer in applied ethics & cyber security, Griffith University

Some weeks ago, a nine-year-old macaque monkey called Pager successfully played a game of Pong with its mind.

While it may sound like science fiction, the demonstration by Elon Musks neurotechnology company Neuralink is an example of a brain-machine interface in action (and has been done before).

A coin-sized disc called a Link was implanted by a precision surgical robot into Pagers brain, connecting thousands of micro threads from the chip to neurons responsible for controlling motion.

Brain-machine interfaces could bring tremendous benefit to humanity. But to enjoy the benefits, well need to manage the risks down to an acceptable level.

To view this video please enable JavaScript, and consider upgrading to a webbrowser thatsupports HTML5video

Pager was first shown how to play Pong in the conventional way, using a joystick. When he made a correct move, hed receive a sip of banana smoothie. As he played, the Neuralink implant recorded the patterns of electrical activity in his brain. This identified which neurons controlled which movements.

The joystick could then be disconnected, after which Pager played the game using only his mind doing so like a boss.

This Neuralink demo built on an earlier one from 2020, which involved Gertrude the Pig. Gertrude had the Link installed and output recorded, but no specific task was assessed.

According to Neuralink, its technology could help people who are paralysed with spinal or brain injuries, by giving them the ability to control computerised devices with their minds. This would provide paraplegics, quadriplegics and stroke victims the liberating experience of doing things by themselves again.

Prosthetic limbs might also be controlled by signals from the Link chip. And the technology would be able to send signals back, making a prosthetic limb feelreal.

Cochlear implants already do this, converting external acoustic signals into neuronal information, which the brain translates into sound for the wearer to hear.

Neuralink has also claimed its technology could remedy depression, addiction, blindness, deafness and a range of other neurological disorders. This would be done by using the implant to stimulate areas of the brain associated with these conditions.

Brain-machine interfaces could also have applications beyond the therapeutic. For a start, they could offer a much faster way of interacting with computers, compared to methods that involve using hands or voice.

A user could type a message at the speed of thought and not be limited by thumb dexterity. Theyd only have to think the message and the implant could convert it to text. The text could then be played through software that converts it to speech.

Perhaps more exciting is a brain-machine interfaces ability to connect brains to the cloud and all its resources. In theory, a persons own native intelligence could then be augmented on demand by accessing cloud-based artificial intelligence (AI).

Human intelligence could be greatly multiplied by this. Consider for a moment if two or more people wirelessly connected their implants. This would facilitate a high-bandwidth exchange of images and ideas from one to the other.

In doing so they could potentially exchange more information in a few seconds than would take minutes, or hours, to convey verbally.

But some experts remain sceptical about how well the technology will work, once its applied to humans for more complex tasks than a game of Pong. Regarding Neuralink, Anna Wexler, a professor of medical ethics and health policy at the University of Pennsylvania, said:

neuroscience is far from understanding how the mind works, much less having the ability to decode it.

At the same time, concerns about such technologys potential harm continue to occupy brain-machine interface researchers.

Without bulletproof security, its possible hackers could access implanted chips and cause a malfunction or misdirection of its actions. The consequences could be fatal for the victim.

Some may worry powerful artificial AI working through a brain-machine interface could overwhelm and take control of the host brain.

The AI could then impose a master-slave relationship and, the next thing you know, humans could become an army of drones. Elon Musk himself is on record saying artificial intelligence poses an existential threat to humanity.

He says humans will need to eventually merge with AI, to remove the existential threat advanced AI could present:

My assessment about why AI is overlooked by very smart people is that very smart people do not think a computer can ever be as smart as they are. And this is hubris and obviously false.

Musk has famously compared AI research and development with summoning the demon. But what can we reasonably make of this statement? It could be interpreted as an attempt to scare the public and, in so doing, pressure governments to legislate strict controls over AI development.

Musk himself has had to negotiate government regulations governing the operations of autonomous and aerial vehicles such as his SpaceX rockets.

The crucial challenge with any potentially volatile technology is to devote enough time and effort into building safeguards. Weve managed to do this for a range of pioneering technologies, including atomic energy and genetic engineering.

Autonomous vehicles are a more recent example. While research has shown the vast majority of road accidents are attributed to driver behaviour, there are still situations in which AI controlling a car wont know what to do and could cause an accident.

Years of effort and billions of dollars have gone into making autonomous vehicles safe, but were still not quite there. And the travelling public wont be using autonomous cars until the desired safety levels have been reached. The same standards must apply to brain-machine interface technology.

It is possible to devise reliable security to prevent implants from being hacked. Neuralink (and similar companies such as NextMind and Kernel) have every reason to put in this effort. Public perception aside, they would be unlikely to get government approval without it.

Last year the US Food and Drug Administration granted Neuralink approval for breakthrough device testing, in recognition of the technologys therapeutic potential.

Moving forward, Neuralinks implants must be easy to repair, replace and remove in the event of malfunction, or if the wearer wants it removed for any reason. There must also be no harm caused, at any point, to the brain.

While brain surgery sounds scary, it has been around for several decades and can be done safely.

According to Musk, Neuralinks human trials are set to begin towards the end of this year. Although details havent been released, one would imagine these trials will build on previous progress. Perhaps they will aim to help someone with spinal injuries walk again.

The neuroscience research needed for such a brain-machine interface has been advancing for several decades. What was lacking was an engineering solution that solved some persistent limitations, such as having a wireless connection to the implant, rather than physically connecting with wires.

On the question of whether Neuralink overstates the potential of its technology, one can look to Musks record of delivering results in other enterprises (albeit after delays).

The path seems clear for Neuralinks therapeutic trials to go ahead. More grandiose predictions, however, should stay on the backburner for now.

A human-AI partnership could have a positive future as long as humans remain in control. The best chess player on Earth is not an AI, nor a human. Its a human-AI team known as a Centaur.

And this principle extends to every field of human endeavour AI is making inroads into.

Click here to read the original article on The Conversation

MORE : Elon Musks Neuralink company put computer chips in pigs brains

MORE : Teacher builds AI robot that can speak 38 languages and it cost just 500

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Neuralink monkey can play Pong with its mind - what could a human do? - Metro.co.uk

Latest added Facial Recognition Market research study by MarketDigits offers detailed product outlook and elaborates market review till 2026. The market Study is segmented by key regions that is accelerating the marketization. At present, the market is sharping its presence and some of the key players in the study areGemalto NV, Ayonix Face Technologies, Cognitec Systems, NVISO SA., Daon, StereoVision Imaging, Techno Brain., Neurotechnology, Innovatrics.The study is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

This report studies the Facial Recognition Market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the Facial Recognition Market by companies, region, type and end-use industry.

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Scroll down 100s of data Tables, charts and graphs spread through Pages and in-depth Table of Content on Global Facial Recognition Market By Technology (2D and 3D Face Recognition, Facial Analyst), Component (Hardware, Software), Application (Homeland Security, Criminal Investigation, ID Management, Physical Security, Intelligent Signage, Web Application, Business Intelligence, Photo Indexing and Sorting), End Users (Government & Transportation, Military & Defense, BSFI, Retail, Hospitality), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) Industry Trends and Forecast to 2026. Early buyers will get 10% customization on study.

To Avail deep insights of Facial Recognition Market Size, competition landscape is provided i.e. Revenue Analysis (M $US) by Company (2018-2020), Segment Revenue Market Share (%) by Players (2018-2020) and further a qualitative analysis is made towards market concentration rate, product/service differences, new entrants and the technological trends in future.

Unlock new opportunities in Facial Recognition Market; the latest release fromMarketDigitshighlights the key market trends significant to the growth prospects, Let us know if any specific players or list of players needs to consider to gain better insights.

Grab Complete Details with TOC @https://marketdigits.com/facial-recognition-market/toc

Market Analysis:Global Facial Recognition Market

Global facial recognition market is set to witness a healthy CAGR of 17.10% in the forecast period of 2019 to 2026. The report contains data of the base year 2018 and historic year 2017. This rise in the market can be attributed due to rising demand for surveillance systems for enhancing safety and security

Few of the major competitors currently working in the globalfacial recognition marketareNEC Technologies India Private Limited, Aware, Inc., Gemalto NV, Ayonix Face Technologies, Cognitec Systems GmbH, NVISO SA., Daon, StereoVision Imaging, Inc., Techno Brain., Neurotechnology, Innovatrics, id3 Technologies, IDEMIA, Animetrics, Crunchbase Inc., Aurora Computer Services Limited, Nuance Communications, Inc., FaceFirst

Market Definition:Global Facial Recognition Market

Facial recognition is a technology which is used to recognize human face for different purposes. Facial recognition system uses biometrics software to match facial features or information from the recorded database. It is easy to integrate with existing security features. Facial recognition is generally used for security purposes. Facial recognition is also defined as an application based on biometric artificial intelligence that can define an individual uniquely by analyzing patterns based on the facial textures and shape of the individual.

Facial Recognition Market Restraints:

Research Methodology:Global Facial Recognition Market

Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.

The key research methodology used byMarketDigits team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

Facial Recognition Market Drivers:

Key Insights in the report:

Table Of Content: Global Facial Recognition Market

Part 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Global Facial Recognition Market Landscape

Part 04: Global Facial Recognition Market Sizing

Part 05: Global Facial Recognition Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers And Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

And More

Any Questions? Inquire Here Before Buying @https://marketdigits.com/facial-recognition-market/analyst

About Market Digits :

MarketDigitsis one of the leading business research and consulting companies that helps clients to tap new and emerging opportunities and revenue areas, thereby assisting them in operational and strategic decision-making. We atMarketDigitsbelieve that market is a small place and an interface between the supplier and the consumer, thus our focus remains mainly on business research that includes the entire value chain and not only the markets.

We offer services that are most relevant and beneficial to the users, which help businesses to sustain in this competitive market. Our detailed and in-depth analysis of the markets catering to strategic, tactical, and operational data analysis & reporting needs of various industries utilize advanced technology so that our clients get better insights into the markets and identify lucrative opportunities and areas of incremental revenues.

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Facial Recognition Market 2021 Investigation Highlights Growth Trends in COVID-19 | Gemalto NV, Ayonix Face Technologies, Cognitec Systems The...

Global Face and Voice Biometrics Market Growing Demand and Growth Opportunity 2026

Overview

The report is a comprehensive analysis of the Face and Voice Biometrics market and covers facts and growth drivers for the market profile. Manufacturing technologies and applications that form a part of this Face and Voice Biometrics market success are also included in the report. Based on such information, the market has been segmented into various categories and portrays the maximum market share for the forecast period. The study is a result of various analysis techniques used to derive the relevant information. These analysis techniques include SWOT methodologies and Porters Five Force Model. Further, the report has an acute focus on global players, products with the highest demand, and the various product categories, which are causative of the Face and Voice Biometrics market growth. Micro and macroeconomic indicators, government stipulations that could affect the market, and advice from industry leaders is also included in the report compilation. The study of the market has been taken place during 2019, the base year and the forecast period stretches till 2026.

Get the Sample Copy of This Report @ https://www.reportsandmarkets.com/sample-request/global-face-and-voice-biometrics-market-size-status-and-forecast-2019-2025?utm_source=loshijosdelamalinche&utm_medium=15

Top Key Players Profiled in this report: 3M Cogent (USA), NEC Corporation of America (USA), AcSys Biometrics Corp. (Canada), AGNITiO S.L. (Spain), Cognitec Systems GmbH (Germany), Nuance Communications(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(USA), Suprema(Korea), VoiceTrust eServices(Canada), and VoiceVault(USA)

Segmental Analysis

The market study contains the division of the overall market into different regional segments according to the key geographic regions. The whole of the Face and Voice Biometrics market has been covered with regards to the key countries and regions. Using the results from the regional analysis, the report also presents a forecast for the local markets. The market presence of manufacturers and key players have also been studied.

All the major regions in the market have been covered with broad segments including North America, South America, Asia-Pacific, the Middle East, Europe, and Africa. The other major segmentations on the market cover the product types and end-user applications.

North America held dominant position in the global Face and Voice Biometrics market in 2021, accounting for XX% share in terms of value, followed by Europe and Asia Pacific, respectively.

Market Dynamics

The various factors that can boost the Face and Voice Biometrics market growth in the current scenario as well as in the coming years have been discussed in detail. The interplay of demand and supply forces in this market along with the factors affecting them have been analyzed. The internal and external factors affecting the market in terms of growth have been studied by this market study. The pricing policies used and the effect they have on the consumption behaviour have been studied for various regions of the Face and Voice Biometrics market. The study conducted looks at the upstream as well as the downstream aspects of the market.

Research objectives

To study and forecast the market size of Face and Voice Biometrics in global market.

To analyze the global key players, SWOT analysis, value and global market share for top players.

To define, describe and forecast the market by type, end use and region.

To analyze and compare the market status and forecast among global major regions.

To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.

To identify significant trends and factors driving or inhibiting the market growth.

To analyze the opportunities in the market for stakeholders by identifying the high growth segments.

To strategically analyze each submarket with respect to individual growth trend and their contribution to the market

To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

To strategically profile the key players and comprehensively analyze their growth strategies.

Market Segment by Regions, regional analysis covers

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).

Face and Voice Biometrics Report mainly covers the following:

1) World Wide Face and Voice Biometrics Industry Overview

2) Country and Regional Face and Voice Biometrics Market Diagnosis

3) Face and Voice Biometrics Data predicated on technician varies and Process Analysis

4) Key success factors and Face and Voice Biometrics Economy Share Summary

For Customization of the Report on Global Face and Voice Biometrics market 2021 Click on the Links, We Will do Our Best

Some Major TOC Points:

Chapter 1: Overview of Face and Voice Biometrics Market

Chapter 2: Global Market Status and Forecast by Regions

Chapter 3: Global Market Status and Forecast by Types

Chapter 4: Global Market Status and Forecast by Downstream Industry

Chapter 5: Market Driving Factor Analysis

Chapter 6: Market Competition Status by Major Manufacturers

Chapter 7: Major Manufacturers Introduction and Market Data

Chapter 8: Upstream and Downstream Market Analysis

Chapter 9: Cost and Gross Margin Analysis

Chapter 10: Marketing Status Analysis

Chapter 11: Market Report Conclusion

Chapter 12: Research Methodology and Reference

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Strategic Study on Face and Voice Biometrics Market 2021, Covers Detail Analysis (Impact of Covid-19), Share, Size, Future Opportunity in Global...

Syndicate Market Research recently launched a study report on theglobal Face Recognition Technology marketproject light on the significant drifts and vigorous cannon into the evolution of the trade, which includes the restraints, market drivers, and opportunities. The report talks about the competitive environment prevailing in the Face Recognition Technology market worldwide. The report lists the key players in the market and also provides insightful information about them such as their business overview, product segmentation, and revenue segmentation. In 2018, the global Face Recognition Technology market size was xx million US$ and it is expected to reach xx million US$ by the end of 2026, with a CAGR of xx% during 2019-2026.

The Specialist team offers you a Free PDF Sample copy of the research report as per your Querry/Requirement, additionally, impact analysis of COVID-19 provides on Face Recognition Technology industry development

The authors of the report have segmented the global Face Recognition Technology market as per vendor list, product, application, and region.Segments of the global Face Recognition Technology market are analyzed on the basis of market share, production, consumption, revenue, CAGR, market size, and more factors.The analysts have characterized leading industry players of the universal Face Recognition Technology market, keeping in vision their recent developments, market sales, share, revenue, product portfolio, areas covered, and other aspects.

The top players including Overview, Financials, Product Portfolio, Business Strategy, and Recent Developments:Nviso, Daon, Idemia, Keylemon, Nuance Communications, Ayonix, IBM, Neurotechnology, Animetrics, Cognitec Systems, NEC, 3M, Gemalto, Techno Brain, Herta Security, Crossmatch, Facefirst Inc.

How data can be gathered?

With all the information congregated and examined using SWOT analysis, there is a vivacious picture of the competitive landscape of the Global Face Recognition Technology Market. Openings for the future market development were revealed and preoccupied competitive dangers likewise textured. The movement and tendency of this market were considered and it illustrates that there was outstanding strategic supervision observed. By the grasping market foundation and using the determined excellence, methodologies, and inclinations of other driving markets for references, market statistics was understood.

Globally, the global Face Recognition Technology market has been fragmented into various regions such asNorth America, Latin America, Middle East, Asia-Pacific, Africa, and Europe. Furthermore, it gives a holistic snapshot of the competitive landscape across the world. To get a better outlook in the businesses, it offers various strategies and methodologies. The global Face Recognition Technology market has been presented in a clear, concise and professional manner which helps to better understanding readers. Different infographics have been incorporated in the report, to offer the graphical presentation of some significant facts and figures of the market.

North America:U.S.Canada, Rest of North AmericaEurope:UK, Germany, France, Italy, Spain, Rest of EuropeAsia Pacific:China, Japan, India, Southeast Asia, Rest of Asia PacificLatin America:Brazil, Argentina, Rest of Latin AmericaThe Middle East and Africa:GCC Countries, South Africa, Rest of Middle East & Africa

Points Covered in The Report:Global Face Recognition Technology market 2021 studies afford a primary overview of the enterprise which includes definitions, classifications, programs, and industry chain structure. The Global Face Recognition Technology Market analysis is supplied for the global markets which include improvement developments, competitive landscape evaluation, and key areas development status. Development policies and plans are discussed in addition to manufacturing procedures and value systems are also analyzed. This document also states import/export consumption, delivery and call for Figures, value, price, sales, and gross margins.

Types: 2D Facial Recognition, 3D Facial Recognition

Applications: Intelligent Signage, Photo Indexing and Sorting, Photo Indexing and Sorting, Criminal Investigation, Homeland Security, Business Intelligence, ID Management, Physical Security

Chapter 1Introduction

Chapter 2Industry Cost Structure and Economic Impact

Chapter 3Rising Trends and New Technologies with Major Manufacturers Profiles/Analysis

Chapter 4Global Face Recognition Technology Market Analysis, Trends, Growth Factor, Porters Five Forces Analysis

Chapter 5Face Recognition Technology Market Supply (Production), Consumption, Export, Import and Business with Potential Analysis by Region

Chapter 6Global Face Recognition Technology Market Production, Revenue (Value), Price Trend by Type and Application

Chapter 7Marketing Strategy Analysis, Distributors/Traders

Chapter 8Industrial Demand-Supply Chain, Sourcing Strategy and Downstream Buyers

Chapter 9Development Trend of Analysis, Market Effect Factors Analysis

Chapter 10Research Findings and Conclusion

This seriously explored report introduction has been set up progressively speech, delivering considerable consideration towards the COVID-19 episode that has of late unleashed phenomenal harm across businesses, deteriorating development.

Face Recognition Technology Market study report analyses the impact of Coronavirus (COVID-19) on the leading manufacturers in the industry. In December 2019, the first case of the Covid-19 virus was reported in China. From that point forward, the illness has spread to almost 180+ nations around the globe.

The WHO declared it a public health emergency. The global effects of coronavirus disease (Covid-19) is already being felt and will have a significant impact on the Face Recognition Technology market by 2020.

The outbreak of Covid-19 has influenced numerous variables, for example, flight undoings and disconnection, the revelation of the highly sensitive situation in numerous nations, gigantic inventory network speed, securities exchange vulnerability, closure of restaurants, ban on all indoor events, declining business guarantees, growing population panic and panic among the population and Uncertainty about the future.

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Face Recognition Technology Trend Analysis, Market Revenue, Business Strategies, COVID Vaccine Impact The Courier - The Courier

The titans of Silicon Valley say that the brain-computer interface revolution is coming, and neurotech devices will soon meld mind and machine, allowing us to communicate effortlessly with our computers and even one another just by using our thoughts.

But I believe their prognostications arent likely to come to fruition anytime soon.

Elon Musk invested $100 million into his neurotech startup, Neuralink, to develop an implantable device he has referred to as a Fitbit in your skull with tiny wires. Kernel recently unveiled a version of its brain-recording helmet, with its founder predicting that the device would be in every home by 2033. And Facebook is working on brain-computer interface (BCI) technology to enable brain-to-text typing.

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In this new world of private neurotech development, company demos are live-streamed on YouTube and have the flavor of techno-optimism that involves proclamations about a future we have yet to see but one that we are assured will come to pass. Data are sparse; rhetoric about making the world a better place is heavy.

I am a neuroethicist, someone who studies ethical and social implications of advances in neurotechnology. So I frequently get asked about its development. Should we be worried that companies like Facebook, Neuralink, Kernel, and others helmed by individuals who have previously launched paradigm-shifting technology are working on capturing data from our brains?

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My answer: I doubt we will have accurate, mind-reading consumer devices in the near future. There are practical constraints that will likely hamper the development and adoption of these devices. These limitations more on them in a minute are nowhere to be seen in media coverage or industry proclamations like Neuralinks recent live demo, in which Musk and other employees expressed hopes that their product would relieve human suffering, provide superhuman vision, allow for telepathy, cure paralysis, solve and prevent practically every disease, upload memories, explain consciousness, remove fear, and achieve symbiosis with artificial intelligence.

Neuroscience is far from understanding how the mind works much less having the ability to decode it. In many studies of brain-computer interfaces, it appears as if a device is essentially free reading someones thoughts, la Uri Geller. But a deeper look often reveals a method to the magic. For example, many researchers use electrophysiological neural signals as proxies for user communication. Heres a crude analogy: If an Apple Watch user was instructed to flick her wrist to the right as a proxy for saying no, and left for saying yes, we could decode communication by using data from the watchs accelerometer. Similarly, in BCI research, users are often instructed to pay attention to a particular part of the screen or to imagine performing a specific action as a proxy for yes or no. Impressive, but not a true decoding of thought.

It is unlikely that the public will adopt a consumer device requiring neurosurgery. Today, the most accurate brain-computer interfaces use recordings from electrodes that have been implanted into the brain, rather than recordings from outside the skull. But such implantation requires neurosurgery. Although neurotech companies are working to develop safer methods of implantation Neuralink, for example, is building a robot that can inject tiny electrode threads into the brain there will never be a risk-free method of implanting a recording device into the human brain.

Musk has envisaged Neuralink as akin to LASIK, a cosmetic procedure for which an individual assumes a small surgical risk in order to eliminate the need to wear glasses. But a neurotech device would have to add significant value for a consumer to get one implanted in her skull.

Just because we can collect brain data, that data wont necessarily add value for consumers. Consumer brain-recording devices have been on the market for roughly 15 years. They were initially marketed for users to control objects such as computer cursors, foam balls, and even a toy helicopter with their thoughts. Today they are more commonly advertised for wellness. But these devices have never become mainstream, likely because they are not entirely accurate and consumers have found little use for them.

This failure to find a meaningful use for brain data raises questions about what, exactly, consumers will do with even more neural information. Will the time-domain functional near-infrared spectroscopy measurements that Kernel is working on add enough value to our daily lives that we will be willing to walk around while wearing brain-sensing helmets?

Helmets and other headgear face an uphill battle to adoption. Consumers have shown time and again that they are reluctant to adopt products that look funny (ahem, Google Glass). The problem with brain-computer interfaces is that measuring neural signals usually requires a contraption that sits on the skull or in it. Aside from socially acceptable headwear like headphone and baseball caps, there are few contraptions that consumers are likely to readily embrace. This barrier, which is often glossed over, is readily illustrated by looking to the history of failed consumer neurotechnology devices.

It may be more taxing to control a device with a BCI than without it. As I type this, Im not paying attention to the movement of my fingers across the keyboard. So, while typing with my brain may be a neat party trick, in a gimmicky look, ma, no hands sort of way, will it be practical for healthy individuals to use their focused, conscious attention to move cursors and peck out letters on a keyboard? A neurotech device would need to demonstrate superiority over current methods of human-computer interaction to gain market traction.

Though these limitations are not insurmountable, there are few, if any, brain-computer interfaces in development that circumvent them. So while much of the media coverage about these devices has centered on privacy concerns, I believe that we need to be realistic about the relative risks. The reams of personal data being gathered about each of us from our phones, web browsers, credit cards, and smart homes are currently being aggregated and sold with little oversight. Some of this information, particularly my search engine history, emails, and notes, are more revealing about who I am than my neural data may ever be.

The hype over brain privacy may distract us from the more pragmatic, albeit less sexy, issues that may arise in the near term. My colleague Robert Thibault and I have argued that the problem with consumer brain-computer interfaces on the market today is not that they can record rich, private, revealing information from the brain. Its that they are falsely claiming to be able to do such things, and consumers might confuse bunk science with real science. Similarly, future devices may be oversold to consumers without clear evidence of effectiveness.

Whatever the future holds for consumer brain-computer interfaces, two groups will likely be winners as a result of Silicon Valleys obsession with neurotechnology. The first group is scientists who study the brain the only group that has a demonstrable interest in all kinds of neural signals. More accurate and mobile recording devices could lead to more neural data that can be measured in the wild instead of on undergraduates using bulky laboratory machinery. The second group is neurosurgeons and their patients, as technological innovation in neurosurgical devices may prove a side benefit of Musks desire to merge humanity with AI.

It will take time to realize these benefits. Were still smack in the middle of a neurotech bubble fueled by venture capital, one that will inevitably yield an increasing number of prophecies about our sci-fi future. So the next time you hear a tech entrepreneur predict that brain-computer interfaces will liberate humanity, remember that these devices are not yet on or in our heads, and may not be anytime soon.

Anna Wexler is an assistant professor of medical ethics and health policy at the University of Pennsylvanias Perelman School of Medicine.

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A skeptic's take on Neuralink and other consumer neurotech - STAT - STAT

HAMILTON, Ontario A new study, released today in the scientific journal Advances in Therapy is providing critical evidence that neurotechnology combined with saliva testing can drastically reduce the likelihood of falsely determining cannabis impairment due to THC residual detection. The independent, blind study, conducted by KGK Science on behalf of Zentrela, confirms that Zentrelas pioneering neurotechnology is the industrys most accurate test for detecting and quantifying actual cannabis psychoactive effects, and unlocks the potential for new testing protocols for law enforcement and employers.

There is limited understanding of the brain effects caused by cannabis psychoactive properties, and limited means to accurately quantify those effects. Law enforcement and employers have relied upon traditional methods for detecting and quantifying THC-compound levels using body fluids such as saliva, blood and urine. However, it is well known that there is no direct correlation between THC concentration levels in body fluids and whether an individual is actually experiencing psychoactive effects associated with THC. This means law enforcement or employers cannot accurately confirm impairment, leading to the possibility of inaccurate determinations of cannabis impairment. These determinations can negatively affect the reputation and employment of individuals who may be consuming legal cannabis products responsibly.

The KGK Science study describes the performance of Zentrelas Cognalyzer neurotechnology to detect and quantify cannabis psychoactive effects and shows that when combined with an oral fluid test for detecting and quantifying THC levels, neurotechnology can drastically improve the accuracy of testing and minimize the likelihood of falsely determining cannabis impairment due to THC residual detection.

For the next phase of its research, Zentrela will collaborate with strategic research partners to correlate its objective cannabis psychoactive effect scale with driving and cognitive performance data to determine a psychoactive effect level (cutoff level) that indicates when it is not advisable for consumers to drive or work.

The ability to definitively measure the psychoactive effects of cannabis allows us to begin addressing the problems related to cannabis consumption that affect the industry and the broader community, says Zentrela Chief Science Officer, Dr. Dan Bosnyak. A scientifically objective cannabis psychoactive-effect test has endless applications for cannabis producers and product manufacturers, for law enforcement, and for employers in many industries.

An available scientific database of cannabis product effects also unlocks one of the most significant challenges facing producers and brands in the recreational cannabis industry: availability of regulatory-compliant cannabis effect data.

Without this information, producers cannot differentiate their products and inform consumers about the different effects created by their recreational cannabis products, retailers cannot meet their CANCELL mandate to educate consumers and promote responsible cannabis use and of course, consumers are missing out on the information that they require to make more accurate and informed decisions about recreational cannabis consumption, says Zentrela CEO, Israel Gasperin. The data we are generating will give retailers and producers access to a centralized source of scientifically-derived product effect information, which will benefit the entire cannabis industry value chain.

Until this point, there simply hasnt been an accurate, science-based test for quantifying cannabis psychoactive effects. We have clearly demonstrated that neuroscience powered by artificial intelligence (AI) can accurately detect and quantify the psychoactive effects of cannabis. This represents a huge potential for Zentrela to become the definitive source for specific, science-based data on cannabis product effects for the entire industry. And we are still at the beginning of our journey. There is no reason we cannot apply this proven neurotechnology to other drugs and industries.

About ZentrelaZentrela Inc. is advancing the understanding of the brain effects of recreational cannabis and is creating the worlds largest scientific database of cannabis product effects. Visit us at http://www.zentrela.com.

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HAMILTON, Ontario A new study, released today in the scientific journal Advances in Therapy is providing c - mg Magazine

Using a range of analysis methodologies, the facial Recognition study offers detailed and systematic insights into global business trends and dynamics. The most up-to-date information on business risks and the supply chains role in the industry is also included in this report. Likewise, the facial Recognition research report looks at a range of opportunities and risks. This report contains historical, current, and future industry statistics to help in the analysis of key market factors in the global facial Recognition market.

Overall, the report offers detailed coverage of the facial Recognition industry and presents main market trends. This research gives historical and forecasts market size, demand and production forecasts, end-use demand details, price trends, and company shares of the leading facial Recognition producers to provide exhaustive coverage of the market.

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The global facial Recognition market provides in-depth market analysis as well as pictorial representations of key statistical findings. The global facial Recognition market study includes key data on recent and emerging drivers, knowledge, evolving technologies, and other important factors. For a specified time period, the research report offers demand forecasts for the industrial sector. It also provides key insights into market dynamics and the current economic conditions, as well as key information for readers to profit from different business trends.

facial Recognition Market Top Players: 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.

This is the latest report on the facial Recognition market offers impact of COVID-19 epidemic. This study examines the impact of the pandemic on demand and the supply chain, as well as the industrys financial condition. Variations in market dynamics and current developments in a post-COVID-19 setting are also covered, as well as a future outlook.

The report also assesses the effect of global health crises on the facial Recognition market in the short and long term. This research report also includes an overview of the current and historical business situation to help explain the industrys growth trend over the course of the survey. As part of the studys preparation, extensive tests and studies were carried out.

Read Complete Report With TOC: https://www.adroitmarketresearch.com/industry-reports/facial-recognition-market

Based on application, the market has been segmented into: By Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

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)

Geographically, this facial Recognition report is segmented into several key regions, with sales, revenue, market share (%) and growth rate (%) of the facial Recognition in these regions, covering

North America

South America

Asia-Pacific

Europe

Southeast Asia

The Middle East

This report can be extremely useful for consumers who want to gain a thorough understanding of the target industry. The research reports main goal is to help customers gain a deeper understanding of the target markets segmentation, influential trends, definition, growth potential, and challenges.

Important Features of the Market Report

Global key players operating situation (sales, growth rate, revenue, and gross margin) of the facial Recognition industry.

Different product types and applications of the global industry, market revenue of each type & application by revenue.

Market sales, revenue forecast by countries and regions of the global facial Recognition industry.

Upstream raw materials, downstream major consumers, manufacturing equipment, and industry chain study of the target industry.

Key drivers influencing market development, opportunities, challenges, and risk analysis.

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facial Recognition Market Trends, Growing Demand and Forecasts to 2026 | NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems GmbH,...