Daily Archives: March 31, 2021

By Avi Asher-Schapiro

BERLIN (Thomson Reuters Foundation) A turning point for Rafael Yuste, a neuroscientist at New Yorks Columbia University, came when his lab discovered it could activate a few neurons in a mouses visual cortex and make it hallucinate.

The mouse had been trained to lick at a water spout every time it saw two vertical bars, and researchers were able to prompt it to drink even with no bars in sight, said Yuste, whose team published a study on the experiment in 2019.

We could make the animal see something it didnt see, as if it were a puppet, he told the Thomson Reuters Foundation in a phone interview. If we can do this today with an animal, we can do it tomorrow with a human for sure.

Yuste is part of a group of scientists and lawmakers, stretching from Switzerland to Chile, who are working to rein in the potential abuses of neuroscience by companies from tech giants to wearable startups.

Following his teams discovery, he launched the NeuroRights Initiative, which advocates five neuro-rights to protect how a persons brain data is accessed and used, including a right to mental privacy and to free will.

Right now, its the wild west, Yuste said.

In Chile, senate member Guido Girardi is pushing to translate those principles into law, with a bill that would give legal protection to a suit of neuro-rights, and a complementary reform to the countrys constitution.

This month, the National Commission for Scientific and Technological Research began debating Girardis proposal, which got unanimous support from parliament in December 2020.

His office hopes the bill will be adopted later in the year.

If this technology is industrialized without the proper regulations and rules, it will threaten fundamental human autonomy, he said in a phone interview.

Meanwhile, the Organisation for Economic Co-operation and Development (OECD) has issued its own neurotechnology guidelines, noted Marcello Ienca, a researcher at ETH Zurichs Health Ethics and Policy Lab, who works on the OECD project.

Usually people only start talking about ethics and regulations after a big scandal, but with neurotech I hope we can take on these questions before that scandal, he said.

SCIENCE-FICTION SCENARIOS

Advances in brain science like those made by Yustes team have made it possible to penetrate the brain using censors and implants and access some degree of neural activity.

The U.S. Food and Drug Administration has approved deep brain stimulation procedures implanting electrodes in the brain to treat a range of disorders from Parkinsons disease to epilepsy.

And major tech firms, from Facebook to Tesla, are working on computer-brain interfaces to allow consumers to control devices with their thoughts, while some smaller companies sell wearable devices to monitor brain activity.

But warnings of science-fiction scenarios of for-profit mind control are overblown for a line of research that is still so young, said Karen Rommelfanger, director of the neuroethics program at Emory University in Atlanta.

Yes, the science will get better, not worse, she said. But exactly how it develops is up in the air.

Ienca at ETH Zurich said major ethical issues could arise if the data commercial neurotech devices cllect is widely shared and analyzed without proper safeguards, he said.

We already have digital biomarkers that can indicate if someone is predisposed to developing dementia. Lets say (that) data is shared with a prospective employer, you could face discrimination on the job market, he said.

In 2018, Ienca published a review of six commercially available neuromonitoring headsets in the journal Nature Biotechnology.

He found that the electroencephalography (EEG) data gathered by the devices as they measure electrical activity in the brain could be leaked online, sold to third parties, or subjected to uses that consumers did not consent to.

This also concerns Adam Molnar, the co-founder of neurotech start-up Neurable, which is developing headphones that measure EEG to help users track brain activity and emotions like burnout.

When Neurable launches a new device, he said, it pledges not to sell user data, and only uses collected data to improve its own products.

We want to be the good guys, he said, adding that he hopes the move will help set the tone for other neurotech firms.

DATA HARVESTING

Rommelfanger at Emory is wary of moving too quickly to regulate brain tech, which she said could stifle innovation.

She recommends direct engagement with startups working on commercial devices, encouraging them to develop privacy-conscious and ethically-minded products.

Girardi favors strict regulation. We didnt regulate the big social media and internet platforms in time, and it costs us. We have lost control of all kinds of data, from our location to our romantic interests its all up for sale, he said.

My proposals would give the status of your mind data the same as your organs, like your heart, he added. No one can interfere with it.

If we allow for all this brain data to be taken, who knows what the consequences will be? Well have algorithms deciding what it means to be happy, Girardi said.

Tim Brown, a neuroethics expert at the University of Washington, said the data currently being collected is not powerful enough to do that.

A lot of that brain data is basically noise, he said.

But, he noted, scientists are working on algorithms to decode and analyze the data gleaned from EEG and functional magnetic resonance imaging (fMRI) scans, hoping to build computer models that can interpret an individuals mental state.

He predicted the same dynamics present in the social media or search industry where companies offer a service for free in return for permission to harvest user data will likely surface in neurotech.

That could lead to serious consequences for privacy in the coming years, Brown warned, with companies linking users social media behavior to their brain images in real time to craft ads or other messages.

He also worries about how neurotechnology might exacerbate existing patterns of discrimination and racism.

In his research, he has warned of the possibility of mandatory neurointerventions, when institutions like schools or prisons might deploy neurotechnology to assess mental states.

Are we going to see a situation where prisoners are asked to put their heads in a box, and they are scanned to see if they are eligible for parole based on an algorithmic interpretation of their brain?, Brown asked.

What will the impact of that be on Black and brown people, who we know are already disproportionately (represented) in these institutions.

Yuste says policymakers around the world need to start contemplating these issues now.

He has been in touch with members of President Joe Bidens administration and the United Nations about neuro-rights and related issues.

Its not about patching the law, he said. These technologies affect the core of what it means to be human the only way to tackle this is with new human rights.

(Reporting by Avi Asher-Schapiro @AASchapiro, Editing by Jumana Farouky and Zoe Tabary. Please credit the Thomson Reuters Foundation, the charitable arm of Thomson Reuters, that covers the lives of people around the world who struggle to live freely or fairly. Visit http://news.trust.org)

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Analysis-Out of my mind: Advances in brain tech spur calls for 'neuro-rights' - Global Banking And Finance Review

Using an ordinary light microscope, MIT engineers have devised a technique for imaging biological samples with accuracy at the scale of 10 nanometers which should enable them to image viruses and potentially even single biomolecules, the researchers say.

The new technique builds on expansion microscopy, an approach that involves embedding biological samples in a hydrogel and then expanding them before imaging them with a microscope. For the latest version of the technique, the researchers developed a new type of hydrogel that maintains a more uniform configuration, allowing for greater accuracy in imaging tiny structures.

This degree of accuracy could open the door to studying the basic molecular interactions that make life possible, says Edward Boyden, the Y. Eva Tan Professor in Neurotechnology, a professor of biological engineering and brain and cognitive sciences at MIT, and a member of MITs McGovern Institute for Brain Research and Koch Institute for Integrative Cancer Research.

If you could see individual molecules and identify what kind they are, with single-digit-nanometer accuracy, then you might be able to actually look at the structure of life. And structure, as a century of modern biology has told us, governs function, says Boyden, who is the senior author of the new study.

The lead authors of the paper, which appears today inNature Nanotechnology, are MIT Research Scientist Ruixuan Gao and Chih-Chieh Jay Yu PhD 20. Other authors include Linyi Gao PhD 20; former MIT postdoc Kiryl Piatkevich; Rachael Neve, director of the Gene Technology Core at Massachusetts General Hospital; James Munro, an associate professor of microbiology and physiological systems at University of Massachusetts Medical School; and Srigokul Upadhyayula, a former assistant professor of pediatrics at Harvard Medical School and an assistant professor in residence of cell and developmental biology at the University of California at Berkeley.

Low cost, high resolution

Many labs around the world have begun usingexpansion microscopysince Boydens lab first introduced it in 2015. With this technique, researchers physically enlarge their samples about fourfold in linear dimension before imaging them, allowing them to generate high-resolution images without expensive equipment. Boydens lab has also developed methods forlabelingproteins, RNA, and other molecules in a sample so that they can be imaged after expansion.

Hundreds of groups are doing expansion microscopy. Theres clearly pent-up demand for an easy, inexpensive method of nanoimaging, Boyden says. Now the question is, how good can we get? Can we get down to single-molecule accuracy? Because in the end, you want to reach a resolution that gets down to the fundamental building blocks of life.

Other techniques such as electron microscopy and super-resolution imaging offer high resolution, but the equipment required is expensive and not widely accessible. Expansion microscopy, however, enables high-resolution imaging with an ordinary light microscope.

In a 2017 paper, Boydens lab demonstrated resolution of around 20 nanometers, using a process in which samples wereexpanded twicebefore imaging. This approach, as well as the earlier versions of expansion microscopy, relies on an absorbent polymer made from sodium polyacrylate, assembled using a method called free radical synthesis. These gels swell when exposed to water; however, one limitation of these gels is that they are not completely uniform in structure or density. This irregularity leads to small distortions in the shape of the sample when its expanded, limiting the accuracy that can be achieved.

To overcome this, the researchers developed a new gel called tetra-gel, which forms a more predictable structure. By combining tetrahedral PEG molecules with tetrahedral sodium polyacrylates, the researchers were able to create a lattice-like structure that is much more uniform than the free-radical synthesized sodium polyacrylate hydrogels they previously used.

The researchers demonstrated the accuracy of this approach by using it to expand particles of herpes simplex virus type 1 (HSV-1), which have a distinctive spherical shape. After expanding the virus particles, the researchers compared the shapes to the shapes obtained by electron microscopy and found that the distortion was lower than that seen with previous versions of expansion microscopy, allowing them to achieve an accuracy of about 10 nanometers.

We can look at how the arrangements of these proteins change as they are expanded and evaluate how close they are to the spherical shape. Thats how we validated it and determined how faithfully we can preserve the nanostructure of the shapes and the relative spatial arrangements of these molecules, Ruixuan Gao says.

Single molecules

The researchers also used their new hydrogel to expand cells, including human kidney cells and mouse brain cells. They are now working on ways to improve the accuracy to the point where they can image individual molecules within such cells. One limitation on this degree of accuracy is the size of the antibodies used to label molecules in the cell, which are about 10 to 20 nanometers long. To image individual molecules, the researchers would likely need to create smaller labels or to add the labels after expansion was complete.

They are also exploring whether other types of polymers, or modified versions of the tetra-gel polymer, could help them realize greater accuracy.

If they can achieve accuracy down to single molecules, many new frontiers could be explored, Boyden says. For example, scientists could glimpse how different molecules interact with each other, which could shed light on cell signaling pathways, immune response activation, synaptic communication, drug-target interactions, and many other biological phenomena.

Wed love to look at regions of a cell, like the synapse between two neurons, or other molecules involved in cell-cell signaling, and to figure out how all the parts talk to each other, he says. How do they work together and how do they go wrong in diseases?

The research was funded by Lisa Yang, John Doerr, Open Philanthropy, the National Institutes of Health, the Howard Hughes Medical Institute Simons Faculty Scholars Program, the Intelligence Advanced Research Projects Activity, the U.S. Army Research Laboratory, the US-Israel Binational Science Foundation, the National Science Foundation, the Friends of the McGovern Fellowship, and the Fellows program of the Image and Data Analysis Core at Harvard Medical School.

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Method offers inexpensive imaging at the scale of virus particles - ScienceBlog.com

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TOC

1 Market Overview of Face Recognition Software1.1 Face Recognition Software Market Overview1.1.1 Face Recognition Software Product Scope1.1.2 Market Status and Outlook1.2 Global Face Recognition Software Market Size Overview by Region 2015 VS 2020 VS 20261.3 Global Face Recognition Software Market Size by Region (2015-2026)1.4 Global Face Recognition Software Historic Market Size by Region (2015-2020)1.5 Global Face Recognition Software Market Size Forecast by Region (2021-2026)1.6 Key Regions, Face Recognition Software Market Size YoY Growth (2015-2026)1.6.1 North America Face Recognition Software Market Size YoY Growth (2015-2026)1.6.2 Europe Face Recognition Software Market Size YoY Growth (2015-2026)1.6.3 China Face Recognition Software Market Size YoY Growth (2015-2026)1.6.4 Rest of Asia Pacific Face Recognition Software Market Size YoY Growth (2015-2026)1.6.5 Latin America Face Recognition Software Market Size YoY Growth (2015-2026)1.6.6 Middle East & Africa Face Recognition Software Market Size YoY Growth (2015-2026) 2 Face Recognition Software Market Overview by Type2.1 Global Face Recognition Software Market Size by Type: 2015 VS 2020 VS 20262.2 Global Face Recognition Software Historic Market Size by Type (2015-2020)2.3 Global Face Recognition Software Forecasted Market Size by Type (2021-2026)2.4 Holistic Matching Method2.5 feature-based Method2.6 Skin Texture Analysis2.7 Hybrid Types2.8 Other 3 Face Recognition Software Market Overview by Application3.1 Global Face Recognition Software Market Size by Application: 2015 VS 2020 VS 20263.2 Global Face Recognition Software Historic Market Size by Application (2015-2020)3.3 Global Face Recognition Software Forecasted Market Size by Application (2021-2026)3.4 Corporate & Residential Security3.5 Public Transport3.6 Entertainment Software3.7 Public Security & Justice3.8 Self-service Equipment3.9 Attendance & Conference3.10 Financial Services3.11 Other 4 Global Face Recognition Software Competition Analysis by Players4.1 Global Face Recognition Software Market Size (Million US$) by Players (2015-2020)4.2 Global Top Manufacturers by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Face Recognition Software as of 2019)4.3 Date of Key Manufacturers Enter into Face Recognition Software Market4.4 Global Top Players Face Recognition Software Headquarters and Area Served4.5 Key Players Face Recognition Software Product Solution and Service4.6 Competitive Status4.6.1 Face Recognition Software Market Concentration Rate4.6.2 Mergers & Acquisitions, Expansion Plans 5 Company (Top Players) Profiles and Key Data5.1 Aware (US)5.1.1 Aware (US) Profile5.1.2 Aware (US) Main Business and Companys Total Revenue5.1.3 Aware (US) Products, Services and Solutions5.1.4 Aware (US) Revenue (US$ Million) (2015-2020)5.1.5 Aware (US) Recent Development and Reaction to Covid-195.2 BioID (DE)5.2.1 BioID (DE) Profile5.2.2 BioID (DE) Main Business and Companys Total Revenue5.2.3 BioID (DE) Products, Services and Solutions5.2.4 BioID (DE) Revenue (US$ Million) (2015-2020)5.2.5 BioID (DE) Recent Development and Reaction to Covid-195.3 Idemia (FR)5.5.1 Idemia (FR) Profile5.3.2 Idemia (FR) Main Business and Companys Total Revenue5.3.3 Idemia (FR) Products, Services and Solutions5.3.4 Idemia (FR) Revenue (US$ Million) (2015-2020)5.3.5 Leidos (US) Recent Development and Reaction to Covid-195.4 Leidos (US)5.4.1 Leidos (US) Profile5.4.2 Leidos (US) Main Business and Companys Total Revenue5.4.3 Leidos (US) Products, Services and Solutions5.4.4 Leidos (US) Revenue (US$ Million) (2015-2020)5.4.5 Leidos (US) Recent Development and Reaction to Covid-195.5 Visage Technologies (SE)5.5.1 Visage Technologies (SE) Profile5.5.2 Visage Technologies (SE) Main Business and Companys Total Revenue5.5.3 Visage Technologies (SE) Products, Services and Solutions5.5.4 Visage Technologies (SE) Revenue (US$ Million) (2015-2020)5.5.5 Visage Technologies (SE) Recent Development and Reaction to Covid-195.6 Cloudwalk (CN)5.6.1 Cloudwalk (CN) Profile5.6.2 Cloudwalk (CN) Main Business and Companys Total Revenue5.6.3 Cloudwalk (CN) Products, Services and Solutions5.6.4 Cloudwalk (CN) Revenue (US$ Million) (2015-2020)5.6.5 Cloudwalk (CN) Recent Development and Reaction to Covid-195.7 M2SYS (US)5.7.1 M2SYS (US) Profile5.7.2 M2SYS (US) Main Business and Companys Total Revenue5.7.3 M2SYS (US) Products, Services and Solutions5.7.4 M2SYS (US) Revenue (US$ Million) (2015-2020)5.7.5 M2SYS (US) Recent Development and Reaction to Covid-195.8 Gemalto (NZ)5.8.1 Gemalto (NZ) Profile5.8.2 Gemalto (NZ) Main Business and Companys Total Revenue5.8.3 Gemalto (NZ) Products, Services and Solutions5.8.4 Gemalto (NZ) Revenue (US$ Million) (2015-2020)5.8.5 Gemalto (NZ) Recent Development and Reaction to Covid-195.9 StereoVision Imaging (US)5.9.1 StereoVision Imaging (US) Profile5.9.2 StereoVision Imaging (US) Main Business and Companys Total Revenue5.9.3 StereoVision Imaging (US) Products, Services and Solutions5.9.4 StereoVision Imaging (US) Revenue (US$ Million) (2015-2020)5.9.5 StereoVision Imaging (US) Recent Development and Reaction to Covid-195.10 Cognitec Systems (GE)5.10.1 Cognitec Systems (GE) Profile5.10.2 Cognitec Systems (GE) Main Business and Companys Total Revenue5.10.3 Cognitec Systems (GE) Products, Services and Solutions5.10.4 Cognitec Systems (GE) Revenue (US$ Million) (2015-2020)5.10.5 Cognitec Systems (GE) Recent Development and Reaction to Covid-195.11 HID Global (US)5.11.1 HID Global (US) Profile5.11.2 HID Global (US) Main Business and Companys Total Revenue5.11.3 HID Global (US) Products, Services and Solutions5.11.4 HID Global (US) Revenue (US$ Million) (2015-2020)5.11.5 HID Global (US) Recent Development and Reaction to Covid-195.12 NEC (JP)5.12.1 NEC (JP) Profile5.12.2 NEC (JP) Main Business and Companys Total Revenue5.12.3 NEC (JP) Products, Services and Solutions5.12.4 NEC (JP) Revenue (US$ Million) (2015-2020)5.12.5 NEC (JP) Recent Development and Reaction to Covid-195.13 NVISO (BE)5.13.1 NVISO (BE) Profile5.13.2 NVISO (BE) Main Business and Companys Total Revenue5.13.3 NVISO (BE) Products, Services and Solutions5.13.4 NVISO (BE) Revenue (US$ Million) (2015-2020)5.13.5 NVISO (BE) Recent Development and Reaction to Covid-195.14 Daon (US)5.14.1 Daon (US) Profile5.14.2 Daon (US) Main Business and Companys Total Revenue5.14.3 Daon (US) Products, Services and Solutions5.14.4 Daon (US) Revenue (US$ Million) (2015-2020)5.14.5 Daon (US) Recent Development and Reaction to Covid-195.15 MEGVII (CN)5.15.1 MEGVII (CN) Profile5.15.2 MEGVII (CN) Main Business and Companys Total Revenue5.15.3 MEGVII (CN) Products, Services and Solutions5.15.4 MEGVII (CN) Revenue (US$ Million) (2015-2020)5.15.5 MEGVII (CN) Recent Development and Reaction to Covid-195.16 Ayonix Face Technologies (IN)5.16.1 Ayonix Face Technologies (IN) Profile5.16.2 Ayonix Face Technologies (IN) Main Business and Companys Total Revenue5.16.3 Ayonix Face Technologies (IN) Products, Services and Solutions5.16.4 Ayonix Face Technologies (IN) Revenue (US$ Million) (2015-2020)5.16.5 Ayonix Face Technologies (IN) Recent Development and Reaction to Covid-195.17 Innovatrics (SK)5.17.1 Innovatrics (SK) Profile5.17.2 Innovatrics (SK) Main Business and Companys Total Revenue5.17.3 Innovatrics (SK) Products, Services and Solutions5.17.4 Innovatrics (SK) Revenue (US$ Million) (2015-2020)5.17.5 Innovatrics (SK) Recent Development and Reaction to Covid-195.18 HYPR (US)5.18.1 HYPR (US) Profile5.18.2 HYPR (US) Main Business and Companys Total Revenue5.18.3 HYPR (US) Products, Services and Solutions5.18.4 HYPR (US) Revenue (US$ Million) (2015-2020)5.18.5 HYPR (US) Recent Development and Reaction to Covid-195.19 Fujitsu (JP)5.19.1 Fujitsu (JP) Profile5.19.2 Fujitsu (JP) Main Business and Companys Total Revenue5.19.3 Fujitsu (JP) Products, Services and Solutions5.19.4 Fujitsu (JP) Revenue (US$ Million) (2015-2020)5.19.5 Fujitsu (JP) Recent Development and Reaction to Covid-195.20 Kairos (US)5.20.1 Kairos (US) Profile5.20.2 Kairos (US) Main Business and Companys Total Revenue5.20.3 Kairos (US) Products, Services and Solutions5.20.4 Kairos (US) Revenue (US$ Million) (2015-2020)5.20.5 Kairos (US) Recent Development and Reaction to Covid-195.21 Animetrics (US)5.21.1 Animetrics (US) Profile5.21.2 Animetrics (US) Main Business and Companys Total Revenue5.21.3 Animetrics (US) Products, Services and Solutions5.21.4 Animetrics (US) Revenue (US$ Million) (2015-2020)5.21.5 Animetrics (US) Recent Development and Reaction to Covid-195.22 id3 Technologies (FR)5.22.1 id3 Technologies (FR) Profile5.22.2 id3 Technologies (FR) Main Business and Companys Total Revenue5.22.3 id3 Technologies (FR) Products, Services and Solutions5.22.4 id3 Technologies (FR) Revenue (US$ Million) (2015-2020)5.22.5 id3 Technologies (FR) Recent Development and Reaction to Covid-195.23 Smilepass (GB)5.23.1 Smilepass (GB) Profile5.23.2 Smilepass (GB) Main Business and Companys Total Revenue5.23.3 Smilepass (GB) Products, Services and Solutions5.23.4 Smilepass (GB) Revenue (US$ Million) (2015-2020)5.23.5 Smilepass (GB) Recent Development and Reaction to Covid-195.24 Techno Brain (SA)5.24.1 Techno Brain (SA) Profile5.24.2 Techno Brain (SA) Main Business and Companys Total Revenue5.24.3 Techno Brain (SA) Products, Services and Solutions5.24.4 Techno Brain (SA) Revenue (US$ Million) (2015-2020)5.24.5 Techno Brain (SA) Recent Development and Reaction to Covid-195.25 Neurotechnology (LT)5.25.1 Neurotechnology (LT) Profile5.25.2 Neurotechnology (LT) Main Business and Companys Total Revenue5.25.3 Neurotechnology (LT) Products, Services and Solutions5.25.4 Neurotechnology (LT) Revenue (US$ Million) (2015-2020)5.25.5 Neurotechnology (LT) Recent Development and Reaction to Covid-195.26 Fulcrum Biometrics (US)5.26.1 Fulcrum Biometrics (US) Profile5.26.2 Fulcrum Biometrics (US) Main Business and Companys Total Revenue5.26.3 Fulcrum Biometrics (US) Products, Services and Solutions5.26.4 Fulcrum Biometrics (US) Revenue (US$ Million) (2015-2020)5.26.5 Fulcrum Biometrics (US) Recent Development and Reaction to Covid-195.27 FaceFirst (US)5.27.1 FaceFirst (US) Profile5.27.2 FaceFirst (US) Main Business and Companys Total Revenue5.27.3 FaceFirst (US) Products, Services and Solutions5.27.4 FaceFirst (US) Revenue (US$ Million) (2015-2020)5.27.5 FaceFirst (US) Recent Development and Reaction to Covid-195.28 Certibio (BR)5.28.1 Certibio (BR) Profile5.28.2 Certibio (BR) Main Business and Companys Total Revenue5.28.3 Certibio (BR) Products, Services and Solutions5.28.4 Certibio (BR) Revenue (US$ Million) (2015-2020)5.28.5 Certibio (BR) Recent Development and Reaction to Covid-19 6 North America Face Recognition Software by Players and by Application6.1 North America Face Recognition Software Market Size and Market Share by Players (2015-2020)6.2 North America Face Recognition Software Market Size by Application (2015-2020) 7 Europe Face Recognition Software by Players and by Application7.1 Europe Face Recognition Software Market Size and Market Share by Players (2015-2020)7.2 Europe Face Recognition Software Market Size by Application (2015-2020) 8 China Face Recognition Software by Players and by Application8.1 China Face Recognition Software Market Size and Market Share by Players (2015-2020)8.2 China Face Recognition Software Market Size by Application (2015-2020) 9 Rest of Asia Pacific Face Recognition Software by Players and by Application9.1 Rest of Asia Pacific Face Recognition Software Market Size and Market Share by Players (2015-2020)9.2 Rest of Asia Pacific Face Recognition Software Market Size by Application (2015-2020) 10 Latin America Face Recognition Software by Players and by Application10.1 Latin America Face Recognition Software Market Size and Market Share by Players (2015-2020)10.2 Latin America Face Recognition Software Market Size by Application (2015-2020) 11 Middle East & Africa Face Recognition Software by Players and by Application11.1 Middle East & Africa Face Recognition Software Market Size and Market Share by Players (2015-2020)11.2 Middle East & Africa Face Recognition Software Market Size by Application (2015-2020) 12 Face Recognition Software Market Dynamics12.1 Covid-19 Impact: Industry Trends12.2 Covid-19 Impact: Market Drivers12.3 Covid-19 Impact: Market Challenges12.4 Porters Five Forces Analysis 13 Research Finding /Conclusion 14 Methodology and Data Source14.1 Methodology/Research Approach14.1.1 Research Programs/Design14.1.2 Market Size Estimation14.1.3 Market Breakdown and Data Triangulation14.2 Data Source14.2.1 Secondary Sources14.2.2 Primary Sources14.3 Disclaimer14.4 Author List

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Face Recognition Software Market Analysis, Trend, COVID-19 Impact, Industry Overview |Aware (US), BioID (DE), Idemia (FR), Leidos (US) The Market...

Face And Voice Biometrics Global Market 2021 research report presents analysis of market size, share, and growth, trends, cost structure, statistical and comprehensive data of the global market. The Market report offers noteworthy data regarding industrys growth parameters, the current state of the market in terms of analysis of possible economic situations and macroeconomic analysis. This report features competitive scenarios from the recent technology and provides a comprehensive analysis of key growth strategies adopted by key players.

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Top Manufacturers operated in the Global Face And Voice Biometrics Market such as3M 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), VoiceVault(USA)

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

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

This report focuses on the Face And Voice Biometrics Market outlook, future outlook, growth opportunities and core and core contacts. The purpose of the study is to present market developments in the US, Europe and other countries. It also analyzes industrial development trends and marketing channels. Industry analysis was conducted to investigate the impact of various factors and to understand the overall appeal of the industry.

The report has been accumulated through meticulous primary and secondary research, which encompasses interviews, inspections, and observations of experienced analysts, as well as proven paid sources, news articles, annual reports, trade journals, and company body databases. The study also presents a qualitative and quantitative evaluation by analyzing the data collected from industry professionals and market participants across crucial factors in the industrys value chain.

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Furthermore, it takes a closer look at various norms, government policies, rules, and regulations. This research has been done with proven research methodologies like qualitative and quantitative research methodologies. Different info graphics have been used while curating the report of the global Face And Voice Biometrics Market. The report profiles a few of the companies operating in the global market

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Face And Voice Biometrics Market 2021 Size, Development Strategy, Analysis, Opportunity Assessment, Key Players and Trends by Forecast 2026: 3M Cogent...