Monthly Archives: April 2021

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

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

Request a sample Report of Neurotechnology Market at:https://www.marketstudyreport.com/request-a-sample/2764957?utm_source=groundalerts.com&utm_medium=AK

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

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

Key points from the Neurotechnology market report:

Ask for Discount on Neurotechnology Market Report at:https://www.marketstudyreport.com/check-for-discount/2764957?utm_source=groundalerts.com&utm_medium=AK

Neurotechnology market segmentation:

Competitive outlook:

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

Product types:

Applications spectrum:

For More Details On this Report: https://www.marketstudyreport.com/reports/global-neurotechnology-market-2020-by-company-regions-type-and-application-forecast-to-2025

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Read the rest here:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

See the rest here:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Click here to read the original article on The Conversation

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

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

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

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

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

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

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

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

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Market Analysis:Global Facial Recognition Market

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

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

Market Definition:Global Facial Recognition Market

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

Facial Recognition Market Restraints:

Research Methodology:Global Facial Recognition Market

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

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

Facial Recognition Market Drivers:

Key Insights in the report:

Table Of Content: Global Facial Recognition Market

Part 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Global Facial Recognition Market Landscape

Part 04: Global Facial Recognition Market Sizing

Part 05: Global Facial Recognition Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers And Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

And More

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

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

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