Daily Archives: April 17, 2021

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.

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

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.

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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

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

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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

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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

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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

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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.

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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

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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.

At Syndicate Market Research, we provide reports about a range of industries such as healthcare & pharma, automotive, IT, insurance, security, packaging, electronics & semiconductors, medical devices, food & beverage, software & services, manufacturing & construction, defense aerospace, agriculture, consumer goods & retailing, and so on.

For more information, you can freely ask any question regarding market situations, Challenges that you want, our research team will always help 24X7 @sales@syndicatemarketresearch.com

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