Category Archives: Neurotechnology

National Neurotechnology Initiative Act seeks to accelerate development of new treatments for brain and nervous system conditions

SAN FRANCISCO & WASHINGTON, D.C., March 12 - A team of prominent members of both houses of Congress introduced today the National Neurotechnology Initiative (NNTI) Act, a bill designed to foster new discoveries and accelerate the development of new and safer treatments for the one in three Americans living with a brain-related illness, injury or disease.

The sponsors of the NNTI Act, Senator Patty Murray (D-WA) and Representatives Patrick J. Kennedy (D-RI 1st) and Ileana Ros-Lehtinen (R-FL 18th), have called upon Congress to reverse the growing economic burden generated by brain-related illness, which exceeds $1 trillion per year in the U.S. due to healthcare costs and lost income.

"The huge numbers speak for themselves: There are 100 million Americans suffering from a brain-related illness, with an enormous economic burden that continues to grow as the population ages," said Zack Lynch, Executive Director of the Neurotechnology Industry Organization. "For a modest investment, Congress has the opportunity to streamline research efforts, accelerate the development of new treatments, promote innovation and job creation by small businesses and have a meaningful impact on the lives of those suffering from devastating diseases and injuries."

Designed to increase private investment and accelerate the development of treatments reaching the market, the NNTI employs targeted increases in funding to improve Federal research coordination and ease bottlenecks that inhibit the development of treatments for brain-related illnesses. The bill accomplishes these goals with less than 4 percent of the total Federal neuroscience research budget - $200 million - and reflects a more balanced disease-cost to research-dollars-expended ratio.

"While our ability to understand how the brain works grows each day, our ability to understand and repair brain illnesses remains limited," said Senator Murray. "For the millions of Americans that suffer from a brain related illness, and the thousands of Americans coming home from Iraq and Afghanistan with Traumatic Brain Injury and PTSD, a new federal commitment to research and treatment can't wait. This bill will place a premium on sharing the information researchers gain everyday and will support ongoing but underfunded programs at NIH."

"With so many Americans suffering from brain-related illnesses, it is crucial for us as a society to maximize our efforts and continue learning about the many facets of the brain, leading to a healthier life for all Americans," said Congressman Patrick Kennedy.

"This legislation will turn America into a nation where brain injuries and diseases are tackled through innovative technology, state of the art medical equipment and top notch neuroscientists. Together we can make this a reality," said Congresswoman Ileana Ros-Lehtinen.

The National Neurotechnology Initiative is designed to address four key bottlenecks that slow the process of developing brain treatments:

The bill also creates a research center that will focus on the ethical, legal, and social implications of neurotechnology.

Have an idea that this legislation will support? Get ideas on how to launch it in our Innovation Center.

Follow this legislation: Senate Bill 586 and House Bill 1483

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Neurotech Bill Introduced in Both Senate and House of Representatives - Epilepsy Foundation

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This article is brought to you thanks to the collaboration ofThe European Stingwith theWorld Economic Forum.

Author: Ankita Moss, Researcher, Neuroethics and Neurotech Innovation Collaboratory, Emory University & Karen Rommelfanger, Associate Professor and Director, Neuroethics and Neurotech Innovation Collaboratory, Emory University

For centuries, the inner workings of the brain and human mind have conjured great imagination and allure; neuroscience has promised insights into one of the most prized features of human life, the cognitive experience.

Today, neuroscience has edged into territories once thought only to inhabit the realms of science fiction. Daily reports include stories ranging from jaw-dropping to tear-jerking, including research on head transplants, techniques that demonstrate restoration of brain function in brains of pigs six hours after their death, the potential of brain imaging to be used for lie detection (or even testimony) in the courtroom, and given hope for the possibility of restoring a damaged memory or augmenting a healthy, intact one.

Mapping brain circuitry has also paved the way for brain computer interface (BCI) technology, which promises to help restore or revive the brain and body. New abilities to read and write information into the brain via recording and stimulation technologies have enormous potential for improving quality of life for those sick and suffering. Todays brain interfaces have been used to connect multiple animal and human brains and may even be able to restore movement after years of paralysis. Consumers even beyond the hospital are eager to use safer and smaller versions of the tech for themselves for work, exercise, and sharpening mental acuity.

But interfacing with the brain can feel deeply and exceptionally personal the brain encodes our experience and is a critical site for decision-making. We are seeing a new flavour of messy ethical concerns surfacing issues of autonomy, mental privacy, and the fragility of foundational features of identity, all of which were once thought to be sacred, impenetrable, and immutable.

Cutting-edge neuroscience requires cutting-edge ethics that can keep pace with the rapid evolution of neuroscience and neurotechnologies.

The World Economic Forum was the first to draw the worlds attention to the Fourth Industrial Revolution, the current period of unprecedented change driven by rapid technological advances. Policies, norms and regulations have not been able to keep up with the pace of innovation, creating a growing need to fill this gap.

The Forum established the Centre for the Fourth Industrial Revolution Network in 2017 to ensure that new and emerging technologies will helpnot harmhumanity in the future. Headquartered in San Francisco, the network launched centres in China, India and Japan in 2018 and is rapidly establishing locally-run Affiliate Centres in many countries around the world.World Economic Forum | Centre for the Fourth Industrial R

The global network is working closely with partners from government, business, academia and civil society to co-design and pilot agile frameworks for governing new and emerging technologies, including artificial intelligence (AI), autonomous vehicles, blockchain, data policy, digital trade, drones, internet of things (IoT), precision medicine and environmental innovations.

Learn more about the groundbreaking work that the Centre for the Fourth Industrial Revolution Network is doing to prepare us for the future.

Want to help us shape the Fourth Industrial Revolution? Contact us to find out how you can become a member or partner.

The pandemic has made crystal clear just how critical ethics is to determining action in the face of evolving scientific information. Neuroethics, which explores and analyzes the ethical, legal, and social implications of neuroscience might just be one of the most essential tools to advance and accelerate the most impactful neuroscience.

The commercialization of BCI technology, for example, has been coupled with the rise of alternative non-invasive approaches such as headsets for meditation or performance enhancement. Such non-invasive devices can be scalable to the public and relatively easy to use. But the risk-benefit calculus drastically changes in the commercial realm: when potential user harm is hedged against a promise of an entertainment and/or subtle wellness improvement in an otherwise healthy individual. This promise, along with the tensions and neurohype in this space are exemplified by projects like Elon Musks Neuralink. Elon Musks Neuralink is not the first neurotech startup to promise commercial use BCI, and it will not be the last.

In our lab, the Neuroethics and Neurotech Innovation Collaboratory led by Global Neuroethics co-chair and NIH BRAIN Initiative Neuroethics member Dr. Karen Rommelfanger, we conducted one-one interviews with over 20 international neurotech innovators, discussing value conflicts in areas from return on investment (ROI), to data privacy, to societal implications, to maximizing positive the impact of neurotechnology.

We found that neuro-innovators are generally aware of the sensitive nature of brain research and interventions; the powerful possibilities of brain technologies are a driving force for innovators. Neurotech innovators believe that neuroscience is poised to generate the highest societally beneficial impact. But naturally, they are deeply concerned with issues related to privacy, access, and ownership, and often have strong beliefs about using science to empower societies by allowing individuals to overcome hardship and reach their full potential. However, while they clearly are interested in and concerned about neuroethical issues, they arent typically familiar with or aware that such a field exists.

A reflection of this orientation is that they often had difficulty seeing the full scope of what ethics could offer. Instead ethics was seen as narrowly as red tape, often at odds with return on investment. Ethics was also misunderstood as solely compliance that could be handled by legal teams. In our research, it was clear that innovators want incentives for integrating ethics within the innovation process, not punitive measures for incorporating ethics. By conflating ethics with compliance, companies are missing opportunities. Stuck relying on legal teams who do not have the tools to identify and surface biases, assumptions, and value conflicts, neurotech innovators had not yet been introduced to the notion that, by integrating a neuroethics strategy into innovation life cycles, they could actually advance and accelerate high impact neurotechnologies.

Overall, neurotech innovators should not be mistaken as only concerned about money and fast innovation. But there are numerous missed opportunities for powerful societal impact by failing to orient their conversations around ethics in more expansive ways, beyond risk mitigation.

We suggest three solutions for neuroethically aligned neurotech design.

This is also a call to think of ethics beyond risk mitigation and toward social impact. A good strategy could fit in the entire innovation life cycle from the grassroots idea and prototype phase to ethical marketing for tech deployment.There is a small, but substantial global community of neuroethics experts. There are many individuals who can help advise in less formal to formal ways. One of the authors established the first-of-its kind neurotech ethics strategy and consulting firm. Neurotech innovators and ethicists need to come together to collaborate and create these paths forward. When done intentionally, neuroethics can help advance and accelerate the most societally impactful neurotech by uncovering the exponential benefits of bringing ethically-oriented innovation to market.

A neuroethics mindset can facilitate return on investments (ROI) both financially and toward recognizing that neurotechs grand engineering challenges are ones that go hand in hand with addressing socio-ethical ones. We can learn for example, from wireless communication tech being engineered to incorporate privacy safeguards. In our research, we learned that innovators often feel torn about personal values and the timeline for ROI. While many believed end users should own their data, the collected data were immediately valuable, even more so than the tech interfaces they were developing. The financial pressure is not conducive to protecting the privacy of end-users. What if business proposals to investors could be reoriented toward also protecting end-user data, particularly neurodata? This orientation would ease the ethical tensions neurotech innovators face and also protect end-user privacy.

This is where neuroethics capacity building and creating cultures of ethical inquiry can help. Much of the reported value of neuroethics in the neurotech innovation process comes from the uncertainty neuro-entrepreneurs feel toward their decisions, especially those with presently undeterminable consequences. This uncertainty derives from the unpredictability of a future influenced by neurotechnology. To neuro-entrepreneurs, the brain is a new and largely undiscovered frontier. By being proactive through establishing a culture of neuroethics, each member of the company can be ethically aware and attuned to value conflicts, enabled to act quickly, and collectively mobilized to solve issues before they become larger ones. Innovators are acutely aware that nothing will tank their work faster than creating a tech that doesnt align with end-user values. Some tech cultures like Apple and Google to some extent have already found ways to enculturate their communities with ethics. Theyve not only used a reputation of trust to the benefit of maintaining their consumer-base, but also to recruit the best talent. Weve also seen an explosion of attention for AI ethics, but our neurotech ecosystem still is lagging with neuroethics integration.

Based on our research, there is a clear call to action for the leadership of neurotech companies and startups to work with neurotech-ethicists and neuroethicists more broadly. This point was recently reinforced in a session of the 2020 International Neuroethics Society Conference featuring Facebooks Mark Chevillet and Nia Therapeutics Dan Rizzuto. Researchers and keynote Ruha Benjamin from Princeton participating in the conference also pointed out a need to be mindful of perpetuating bias, such as those resulting in racial discrimination inherent in unthoughtful tech design. Neuroethicists can collaboratively help identify these ethical blindspots.

We also recognize that the neuroethics community has failed to sufficiently connect with our private sector neuroscientists, neurotech innovators, and neuro-entrepreneurs. Were working on building community and a shared vocabulary between neuroethicists and neurotech innovators. As we continue to identify neuroethical pain points, well began mapping bottlenecks and roadblocks when aligning neuroethics with the neuro-innovation process.

If theres one consistent thread about humans, its that they arent just interested in survival; instead they are constantly seeking to improve themselves as individuals and innovate for a greater collective society. We believe neuroethics is the key to innovating in the neurotech ecosystem, and were ready to help.

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How neuroethics can advance innovations for positive social impact - The European Sting

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...

GREENE, N.Y., March 18, 2020 The University Research Program will be accepting proposals beginning April 12, 2021 through November 5, 2021. The Raymond Corporation, a Toyota Industries Company, is sponsoring the University Research Program which was created to encourage and support professors and student researchers to apply their engineering and technical research to discover innovative solutions for the material handling industry. The sponsored research program is in its fifth cycle of accepting applications for grant funding that can reach up to $500,000. Applicants from North American universities will be evaluated on several criteria, including their possible impact on the future of the material handling industry, timeline and feasibility of budget. Applicants with selected proposals will be announced at MODEX 2022, March 28-12, 2022, in Atlanta.

We believe new technology and innovative approaches from academias brightest and most innovative minds can inspire the supply chain of the future, said Michael Field, president and CEO, The Raymond Corporation. Raymonds investment in the University Research Program is just one way were showing our commitment to the next generation of material handling leaders.

Winning proposals from previous years included projects surrounding automation, virtual reality (VR) and augmented reality (AR), energy infrastructure, internet of things (IoT) and Industry 4.0. Proposal themes for the 2021-2022 research submissions in the following areas are encouraged, however, given the broad nature of material handling, alternative themes are welcome.

The Future of Logistics--Material Handling in an Uncertain Future--Material Handling in a Smart City--Warehouse Design--Urban and Suburban Package Delivery

Improving Material Handling --Automation and Material Handling--Advanced Sensors for Material Handling--Advanced Vision Systems and Material Handling

Truck and Operation Evolution--Industrial Design of Vehicles--Operator Ergonomics--Neurotechnology Applications in Material Handling

This year, the University Research Program has added a new optional concept paper step in the process. This step is a way that professors and student researchers can connect with the University Research Program reviewers for initial input of their submission. Professors and researchers are encouraged (but not required) to submit a one page concept paper explaining their proposal. Concept papers must be submitted between April 12, 2021 through August 27, 2021 in order to be reviewed.For more information on the University Research Program, visit http://www.universityresearchprogram.com.

About The Raymond Corporation The Raymond Corporation, a Toyota Industries Company, is a leading global provider of best-in-class material handling products and intelligent intralogistics solutions. Built on principles of innovation and continuous improvement for over 95 years, Raymonds integrated automation, telematics, virtual reality and advanced energy solutions provide ways to optimize operations and bring warehouse and distribution operations to a new level of performance. Raymond electric forklift trucks are engineered to achieve increased productivity and efficiency and are designed to provide ecological and economic benefits. Raymond delivers solutions to material handling and logistics markets in North America and globally. Combining operational excellence, award-winning innovation and world-class global customer support, we work together to run better, manage smarter and keep our customers always on. For more information, visit raymondcorp.com and follow us on Facebook, Twitter, YouTube and LinkedIn.

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UNIVERSITY RESEARCH PROGRAM ACCEPTING PROPOSALS TO ADVANCE NEXT-GENERATION INDUSTRY TECHNOLOGY - DC Velocity

The Global Mobile Biometrics market has witnessed changing patterns of consumer demand in the recent times. This research study is an attempt to understand the changes and the impact of this changes on the Mobile Biometrics market across the world. The study delivers a comprehensive analysis of the worldwide Mobile Biometrics market, acting as a source of valuable information for active market participants throughout the value chain and assisting them to take advantage of opportunities as well as to develop important business strategies. It also helps the companies operating in the global Mobile Biometrics market to understand the prevalent market trends and shaping their businesses accordingly.

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Key Players In The Mobile Biometrics Market:

3M Cogent, Dell SecureWorks, Samsung?KNOX, Good Technologies, Honeywell, LG Electronics, Booz Allen Hamilton, Qualcomm, Neurotechnology, Fujitsu

In this report, the worldwide Mobile Biometrics market has been studied on the basis of an assessment performed on the production chain, production size, and the revenue earned by each of the leading companies operating in the global Mobile Biometrics market. The market for Mobile Biometrics across the world has also been examined on the basis of products available in the market, their pricing, production volume, and the revenue generated.

Global Mobile Biometrics Market Segmentation:

Based on Type:

Based on Application/End-User:

Regional Level Segmentation Of Mobile Biometrics Is As Follows:

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How is this Report On Mobile Biometrics Market Useful?

So as to understand the information and bits of knowledge got from this report, a few figures and introductions are likewise included separated from the information. These are as diagrams, charts, tables, and so forth. Instead of perusing the crude information, perusing instruments is simpler and more ends can be drawn taking a gander at these clarifying graphs.

Moreover, the report minutely studies all such factors which are essential to be known by all major industry players operating into this market or new players planning to enter this global Mobile Biometrics market. The report examines the global Mobile Biometrics market breakdown and anticipates the market volume related to volume and value.

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Mobile Biometrics Market Analysis on Top Key Players, Revenue Growth and Business Development Forecast to 2027 The Courier - The Courier

The report offered on the global market for Facial Recognition Technology has carefully examined some of the primary and essential factors deemed responsible for growth in the near future. To provide the best-quality information and accurate market-related data, the analysts authoring the study have incorporated both primary and secondary research methodologies. The Facial Recognition Technology Market report points out national and global business prospects and competitive conditions for Facial Recognition Technology Market. Market size estimation and forecasts were given based on a detailed research methodology tailored to the conditions of the demand for Facial Recognition Technology Market.

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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.

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)

Facial Recognition Technology Market

Major regions covered in the study include North America, Europe, Asia Pacific, Middle East & Africa, and South America.

The researchers have studied the market in depth and have developed important segments such as product type, application, and region. Each and every segment and its sub-segments are analyzed based on their market share, growth prospects, and CAGR. Each market segment offers in-depth qualitative and quantitative information on market outlook.

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The reports competitive landscape section offered an encyclopedic account of the company profiles of key players that operate on the global market for Facial Recognition Technology. This section has been predicted to be extremely useful for players to explore new strategies and also to research current or potential strategies adopted by the companies profiled in the report. In addition to this, the essence of the competitive environment was clarified to help readers adapt their business plans accordingly. This could also help players make major improvements in their product portfolios, if needed. The study profiled leading firms based on their diverse qualities such as recent innovations.

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Facial Recognition Technology Market is Slated To Grow Rapidly In The Coming Years (2020 2028) NeighborWebSJ - NeighborWebSJ