Category Archives: Neurotechnology

This research report on Facial Recognition Market entails an exhaustive analysis of this business space, along with a succinct overview of its various market segments. The study sums up the market scenario offering a basic overview of the Facial Recognition Market with respect to its present position and the industry size, based on revenue and volume. The research also highlights important insights pertaining to the regional ambit of the market as well as the key organizations with an authoritative status in the Facial Recognition Market.

Leading Companies Reviewed in the Report are:

NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems GmbH, Gemalto NV, Animetrics, Daon, Id3 Technologies, Idemia, Innovatrics, Megvii, Neurotechnology, NVISO SA, StereoVision Imaging, Inc., Techno Brain Group, etc.

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The huge assortment of tables, graphs, diagrams, and charts obtained in this market research report generates a strong niche for an in-depth analysis of the ongoing trends in the Facial Recognition Market. Further, the report revises the market share held by the key players and forecast their development in the upcoming years. The report also looks at the latest developments and advancement among the key players in the market such as mergers, partnerships, and achievements.

In short, the Facial Recognition Market report offers a one-stop solution to all the key players covering various aspects of the industry like growth statistics, development history, industry share, Facial Recognition Market presence, potential buyers, consumption forecast, data sources, and beneficial conclusion.

Quick Read Table of Contents of this Report @ https://www.adroitmarketresearch.com/industry-reports/facial-recognition-market

Global Facial Recognition Market is segmented based by type, application and region.

Based on Type, the Market has been segmented into:

by Technology (2D facial recognition, 3D facial recognition, facial analytics recognition), Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

Based on application, the Market has been segmented into:

By Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

The research methodology that has been used to forecast and estimate the global Facial Recognition market consists of primary and secondary research methods. The primary research include detailed interview with authoritative personal such as directors, CEO, executives, and VPs. Sales, values, capacity, Revenue, regional market examination, section insightful information, and market forecast are including technical growth scenario, consumer behaviour, and end use trends and dynamics, and production capacity were taken into consideration. There are Different weightages which have been allotted to these parameters and evaluated their market impacts using the weighted average analysis to derive the market growth rate.

The report authors highlighted the lucrative business prospects, catchy trends, regulatory situations and Facial Recognition market price scenarios. It is important to note that the report contains a detailed analysis of the macroeconomic and microeconomic factors affecting the growth of the Facial Recognition market. It is divided into several sections and chapters so that you can easily understand all aspects of the Facial Recognition market. Market participants can use the report to take a look at the future of the Facial Recognition market and make significant changes to their operating style and marketing tactics to achieve sustainable growth.

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Adroit Market Research is an India-based business analytics and consulting company incorporated in 2018. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a Markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable Market insights to help create opportunities that increase their revenues. We follow a code- Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

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Facial Recognition Market Analysis 2019-2025 Emerging Trends, Growth Drivers, Challengers, Services, Competitive Landscape and Regional Outlook &...

About Facial Recognition System Industry:

The report offers a exclusive research investigation of theFacial Recognition System Marketwith nitty gritty data of Product Types, Key Players Such as A(3M, Animetrics, Aware, Inc., Ayonix Corporation, Cognitec Systems, Daon, Gemalto NV, Herta Security, IDEMIA, KeyLemon S.A., NEC Corporation, Neurotechnology, NVISO SA., Panasonic i-PRO Sensing Solutions Co., Ltd., and Techno Brain ). This excellent statistical surveying and examination report give a ground-breaking study that prepares showcase players to wind up mindful of concealed development openings, assume responsibility for the aggressive scene, center around high-development fragments, and to do substantially more.

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Read Summary Of Facial Recognition System Market Report @ Facial Recognition System Market

The report gives a 6-year gauge (2020-2027) surveyed dependent on how the Facial Recognition System Market is anticipated to develop in significant areas like USA, Europe, Japan, China, India, Southeast Asia, South America, South Africa and Others with Global Outlook and incorporates Clear Market definitions, groupings, producing forms, cost structures, improvement strategies and plans. The realities and information are attractive in the report utilizing outlines, diagrams, pie graphs, and other pictorial portrayals as for its Current Trends, Dynamics, and Business Scope and Key Statistics.

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In order to comprehend the knowledge and insights received from this report, some figures and presentations are also included apart from the data. These are in the form of charts, graphs, tables, etc. Rather than reading the raw data, reading through tools is easier and more conclusions can be drawn looking at these explaining diagrams.

This report also provides hands-on ready-to-access analytical data provided by industry professionals. They can understand various vital trends, drivers, and challenges in the Facial Recognition System Market industry. This report will provide a detailed assessment of majorly the major players, regions considered, and applications.Our competitor profiling comprises the validation of distribution channels and products and services offered by and Cloud Backup financial performance of companies operating in the market 2020. We also give Porters Five Forces, PESTLE, and SWOT analysis to identify the competitive threat and study other aspects of the Facial Recognition System Market.

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Facial Recognition System Market Drivers is Responsible to for Increasing Market Share, Forecast 2026 - Cole of Duty

Russia-based VTB Bank has forged an information technology (IT) partnership with the Skolkovo Foundation.

The partnership will help facilitate the development of a research centre at the Skolkovo Innovation Centre in Moscow, Russia.

This research centre will help the bank boost its capabilities and establish a new infrastructure, as part of its IT goals.

VTB Bank IT organization and management department SVP and head Sergey Bezbogov said: VTBs new position as a key partner of the Fund and being able to access the Skolkovo ecosystem, as well as the experience and expertise accumulated by its team in developing and commercializing technologies will help us make a huge technological leap forward.

VTB claims that the integration with Skolkovo ecosystem will generate returns in areas like big data, algorithms, digital security technologies, and production process and business systems efficiency.

Skolkovo Foundation IT cluster VP and executive director Konstantin Parshin said: At Europes largest startup event of the year, we are pleased to announce that VTB Bank has been awarded the official status of key partner of the Skolkovo Foundation.

Within the framework of the partnership agreement, a three-year action plan has been developed aimed at attracting and developing the most promising technological projects in the field of digital security, neurotechnology and artificial intelligence, AR/VR technologies, fintech and distributed registries.

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VTB Bank to launch research centre in Russia with Skolkovo Foundation - Verdict

Neurotechnologys biometric fingerprint recognition extractor and matcher have ranked as the most accurate in the latest FVC-onGoing fingerprint verification test results, the company announced.

FVC-onGoing was established in 2009 by the Biometric System Laboratory team at the University of Bologna inItaly. The FV-STD-1.0benchmarkincludes images collected with high-quality optical scanners and challenging detection cases such as noisy images and distorted impressions.

Included in NeurotechnologysMegaMatcher SDK, the technology was tested according to both FV-STD-1.0and FV-HARD-1.0 benchmarks.

With this top-ranked result in the FVC-onGoing and our top ranking in both the NIST MINEX III and PFT III evaluations, we are pleased to be able to call our fingerprint algorithm the most accurate in the world,said Evaldas Borcovas, fingerprint recognition team lead at Neurotechnology, in a prepared statement.I am proud of our team for achieving algorithms with such high accuracy, and it is a testament to our companys many years of dedication to the field of biometrics. Our customers can be confident that our technology will provide them with the best possible performance.

In 2019, Neurotechnologys palm print matching algorithm topped FVC-onGoing testing.

Neurotechnologys fingerprint algorithm is part of its MegaMatcher multibiometric product line, which includes fingerprint (VeriFinger), face (VeriLook), eye iris (VeriEye) and voice (VeriSpeak) modalities. It has been embedded in applications in Neurotechnologys MegaMatcher Automated Biometric Identification System (ABIS) and MegaMatcher Accelerator products.

MegaMatcher SDKs and Neurotechnologys biometric product line are available for a free 30-day trial.

accuracy | biometrics | fingerprint recognition | FVC-onGoing | matching | Neurotechnology | testing

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Neurotechnology tops FVC-onGoing biometric test results with fingerprint recognition tech - Biometric Update

A report added to the rich database of Magnifier Research, titled Global Neurotechnology Market Size, Status and Forecast 2020-2026 provides a detailed analysis of the current and future market trends, segmentation, industrial opportunities, and future market scenario considering 2020 to 2026 as forecast years. The report extensively studies a number of growth drivers and restraining factors. Global Neurotechnology market is separated by product, manufacturers, regions, as well as applications. It also comprises the complete study about the investment details in the target market. The important forecasting information by regions, type, and application, with sales and revenue from 2020 to 2026 are provided in this research report.

Market Overview:

The report consists of a competitive study of the global Neurotechnology market and market players performing in a market along with their information such as company detailing, product summary and specification, key financials description such as (every year revenue, production, and sales figure), SWOT and PESTEL study of the companies, business strategic outlook, and their advance development. The research encompasses all details about the market trends, risk factors, revenue-generating opportunities, and other aspects of this market. Major ways implemented by leading players, recent activities, and developments in business, share, as well as chain statistics analysis, has been demonstrated in the report.

DOWNLOAD FREE SAMPLE REPORT: https://www.magnifierresearch.com/report-detail/30457/request-sample

The study includes the profiles of key players in the market with a significant global and/or regional presence: General Electric, Siemens Healthcare, Koninklijke Philips, Toshiba Medical, Shimadzu, Hitachi Medical, Elekta, Tristan Technologies, Allengers Medical, Natus Medical, Magstim,

Furthermore, various regions related to the growth of the global Neurotechnology market are analyzed in the report. These regions include the North America (United States, Canada, Mexico), Asia-Pacific (China, Japan, South Korea, India, Australia, Indonesia, Thailand, Malaysia, Philippines, Vietnam), Europe (Germany, France, UK, Italy, Russia, Rest of Europe), Central & South America (Brazil, Rest of South America), Middle East & Africa (GCC Countries, Turkey, Egypt, South Africa, Rest of Middle East & Africa). Besides this, the research demonstrates the growth trends and upcoming opportunities in every region.

Market analysis by product type:

Market analysi9s by application: Hospitals, Clinics, Diagnostic Centers, Ambulatory Surgical Centers,

This report covers extensive research of market aiming over the opportunities, strengths as well as challenges across the global market. The research predicts competitive analysis of the global Neurotechnology market on the product specification and product image, corporate profile, material suppliers, market and sales share, downstream consumers, pricing structure, and production base. Apart from the mentioned information, the growth rate of the market in 2026 is also explained. Market share analysis and key trend analysis are the major success factors in the market report.

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Excerpt from:

Global Neurotechnology Market SHARE, SIZE 2020| EMERGING RAPIDLY WITH LATEST TRENDS, GROWTH, REVENUE, DEMAND AND FORECAST TO 2026 Cole Reports - Cole...

With the massive strides in sustainable transportation made by Tesla and the continuing progress of SpaceX in its aspiring journey to colonize Mars, Elon Musk has repeatedly demonstrated remarkable ambition.

Neuralink, a neurotechnology firm co-founded by Elon in 2016, hopes to deliver on an even more grandiose pursuit. Alongside global warming and the possibility of human extinction, Musk is heavily concerned with another existential threat. The advancement of Artificial Intelligence.

In this case, the solution goes beyond addressing what humans do towards fundamentally altering what humans are.

The specific objective of Neuralink is to develop ultra-high bandwidth brain-machine interfaces to connect humans and computers. Practically, this materializes as a chip that is implanted into the brain to achieve a sort of symbiosis with artificial intelligence that can significantly preserve and enhance our brains.

While the companys current focus with the early versions of this implant is to understand and treat brain injuries and disorders, Musk believes this technology is an important step to ensuring a well-aligned future alongside Artificial Intelligence.

With [any] AI scenario, we will be left behind. With a high bandwidth, brain-machine interface, we can actually go along for the ride.

Our brains function through a large network of neurons communicating through neurotransmitters at the connection points known as synapses. These neurotransmitters are released in response to electrical spikes called action potentials. Everything that we perceive, feel, hear and think are essentially these neural spikes.

By inserting minuscule electrodes threads, Neuralink can detect and record the action potentials and selectively stimulate neurons across diverse brain areas. These threads will be applied delicately by robots to minimize damage to the brain and attached to sensors that, in their preliminary form, will be wirelessly connected via Bluetooth to a mobile app for self-sufficient usage.

Appearing on the Joe Rogan podcast on the 7th of May, Musk suggests that the first human trials for Neuralink could be carried out within a year. Elon maintains that the first few iterations of the product will be solely focused on offering patients medical treatment for a variety of brain-related injuries. From recognising and prohibiting epilepsy in real-time to fixing stroke damage and even assisting the elderly with memory retention, Neuralink hopes to make tremendous strides in improving the welfare of the human population.

Regarding the trepidation towards eventual human-AI symbiosis, Elon responds Its optional.

In truth, Musk claims, humans are already partly cyborgs. With our mass dependency on our phones and personal computers, the only difference between the current state and one with AI-symbiosis is that the data rate or communication speed between us and the electronics right now is extremely slow.

By facilitating rapid information access and augmenting intellectual capacity, the Neuralink interface could enable users with substantial productivity growth, potentially by a factor of ten. The discussion also expanded to consider the possibility that this future technology could make verbal communication obsolete, giving a prospective timeline of five to ten years.

If you think this sounds like the perfect setting for a Black Mirror dystopia, youre not alone.

Naturally, the major concern for such technology is security. Getting your phone or computer hacked may be an inconvenience, but when the technology directly influences the function of your brain, the stakes are monumental. Additionally, if and when this device enters the reach of public consumers, the affordability gap could result in an extensive upsurge in social and economic inequality due to the resulting cognitive benefits.

As per regulation, Neuralinks products will be subject to the approval of the US Food and Drug Administration. Musk believes that the development of the interface will be a slow process and promises that the transition to the later versions that will more closely resemble human-AI symbiosis will be gradual enough that you will see it coming.

Is Elon Musk being overambitious with this revolutionary mission? If we cant beat AI, is the best option to join them? Given the exponential acceleration of technology, the prospects of such a device are endless. Undeniably positioned to have a palpable impact on society, Neuralink ends up leaving us with more questions than answers on the possible trajectory of human evolution.

Image credit: Sujins

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Will Elon Musk's Neuralink Shape the Future of Humanity? - Oxford Student

The Facial Recognition Market research report also covers the vendors with a complete overview of their company profile, market size, and sales analysis based on regions that would offer high growth for the vendors in the market. Key players and Industry leaders are competencies and capacities of these companies in terms of production as well as the sustainability and prospects of the market.

Leading Companies Reviewed in the Report are:

NEC Corporation, Aware, Inc., Ayonix Corporation, Cognitec Systems GmbH, Gemalto NV, Animetrics, Daon, Id3 Technologies, Idemia, Innovatrics, Megvii, Neurotechnology, NVISO SA, StereoVision Imaging, Inc., Techno Brain Group, etc.

Get Exclusive Sample of Report on Facial Recognition market is available @ https://www.adroitmarketresearch.com/contacts/request-sample/908

This Facial Recognition Market report is suitable for any stakeholders investing in the market. Thus the report provides strategic analysis to the vendor to expand their business on a large scale across the globe. Also, the report covers all the challenges so that users will be aware of the situations while investing in the market. The Global Facial Recognition market is highly split based on key segments such as product type, application, end-users, key companies, and key regions. The global Facial Recognition market report presents an in-depth analysis of the major segments covering all the applications, top products, top companies, and key geographies. Also, reports on global Facial Recognition market solutions market size are expected to grow in billions from the base year 2019 to 2025 at Compound Annual Growth Rate in terms of revenue during the forecast period.

The report includes market shares of global Facial Recognition Markets for global regions such as Europe, North America, Asia-Pacific, South America, and the Middle East & Africa. Some essential tools have been studied such as SWOT analysis, PESTEL analysis and Value chain analysis for the quantitative study of the market to help the participants to explain an overview of the global Facial Recognition market. Furthermore, technological trends, innovations, governing an industry are some factors impacting the development of the market. All these developments would take the industry in the long term growth. Also, the report provides upcoming industry solutions for the global Facial Recognition market.

Quick Read Table of Contents of this Report @ https://www.adroitmarketresearch.com/industry-reports/facial-recognition-market

Global Facial Recognition market is segmented based by type, application and region.

Based on Type, the market has been segmented into:

by Technology (2D facial recognition, 3D facial recognition, facial analytics recognition), Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

Based on application, the market has been segmented into:

By Application, End User (BFSI, media & entertainment, telecom & IT, Government & Defense, Healthcare, Retail & E-commerce)

And the report explains various strategies used by major players such as acquisitions, partnerships, joint ventures, agreements, expansions, new product launches, and others to increase their footprints in the global Facial Recognition market. Moreover, the report covers all the quantitative and qualitative study of the market based on past and current data.

The report shows several definitions, arrangements, the chain assembly of the industry, as well as segmentation on the basis of solution, product, and region along with different geographic regions for the global Facial Recognition market. Moreover, it aims to evaluate product price, profit, capacity, production, supply, demand, and market growth rate. The study fetches a five-year forecast estimated on the basis of how the market is anticipated to perform.

For Any Query on the Facial Recognition Market: https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/908

About Us :

Adroit Market Research is an India-based business analytics and consulting company. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

Contact Us :

Ryan JohnsonAccount Manager Global3131 McKinney Ave Ste 600, Dallas,TX 75204, U.S.APhone No.: USA: +1 972-362 -8199 / +91 9665341414

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Facial Recognition Market Global Future Investment Initiatives, Growing with Technology Development, New Innovations, Competitive Analysis and...

Islamabad-Aeronautic giant Airbus is working on sensors that could be used to sniff out coronavirus. Ultra-sensitive smell cameras have been in development since 2017 and were initially designed to detect explosives.

The innovative sensors use microprocessors made of biological cells to identify specific chemicals or microbes floating in the air. Similar technology has already been used to detect cancer and influenza, and it could soon be used to provide advance warning of areas contaminated with SARS-Cov-2, the virus which causes COVID-19.

According to the people behind the project, there are already encouraging signs of early progress as the technology is adapted help to fight the pandemic. California-based Koniku partnered with Airbus on the project as the start-up specializes in neurotechnology.

Adapting the existing technology in the help against the coronavirus pandemic is possible because the virus makes slight tweaks to particles produced by humans. These alterations act as markers which can trigger the so-called smell cameras.

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Smell cameras built to detect explosives on planes - The Nation

Unless you've been living under a rock, you know who Elon Musk is. He does many things. Many people know him for being the CEO and co-founder of Tesla, but he's also the CEO and founder of Space X (an aerospace manufacturer and space transportation services company), The Boring Company (infrastructure and tunnel construction services company), Neuralink (neurotechnology company), SolarCity (solar energy services), and many other companies and projects.

He is also kind of crazy, he gets frequently involved on Twitter rants, shares memes, and he named his kid X A-12. Yes, that's right, he recently had a kid with Canadian pop singer Grimes and named the baby X A-12. Which we recently learned from his new interview with Joe Rogan that it's pronounced X = X (letter X); = Ash; A-12 (Archangel, his favorite aircraft).

Besides wanting the human race to become a multi-planetary species, and wanting us to become cyborgs, he is also a gearhead; he has a history with cars that goes back many years even before Tesla.

In this list, you're going to take a look at ten facts that prove that Elon Musk is really a huge gearhead.

In 1999 Elon Musk ordered a Mclaren F1, as you can see in this old CNN interview, where he was taking a look at his brand new carfor the first time; back then, he was younger, balder, and had a thicker Southafrican accent. Even back then,you can tell that he was a true gear head.

After selling his company, Zip2, for 400 million dollars cash, Elon bought an F1.The Mclaren F1 was the fastest car at the time, only 64 of these cars were made, and Elon paid one million dollars at the time for one of them.

He used to daily-drive this car, and a year later, he wrecked it while showing off the car's capabilities to investor Peter Thiel (co-founder of PayPal). The craziest thing about this story is that the car didn't have insurance.

Related:15 Facts About McLaren Supercars And How Theyre Made

In a tweet, back in 2017, Musk revealed that he owned only two gas cars. One of them is a Ford Model T that a friend gave to him.

The model T was the first affordable vehicle; it was the vehicle that came to revolutionize the world. Before the Model T, people used horses, and only very wealthy people were able to buy cars, this has certain parallelism with the Model 3, Elons idea is to revolutionize the automotive world, making electric cars affordable and practical for everyone.

Related:Here's What Elon Musk Used To Drive Before Tesla

The other gas car Elon owns is a Jaguar E-type.This British sports car is one of the most beautiful cars ever made. It was produced from 1961 to 1975 in two body styles, roadster and coupe. Its not clear which of these two Elon owns, but either way, both are beautiful cars.

Related:15 Things To Be Aware Of Before Buying The 2020 Jaguar F-Type

Back in 2012 Elon owned an Audi Q7 and a Porsche 911, he recently had things to say about the new Porsche Taycan, a model that aims at part of tesla's market as a high-end, high-performance electric sedan. Elon's thing with porsche was also present at the launch of the Cybertruck prototype; when he compared the performance of the truck to that of a 911.

This car belonged in the 1977 James Bond Movie 'The Spy Who Loved Me', and Elon was always amazed by this vehicle since he was a kid, and in 2013, he paid 920,000 dollars at an auction to get this car. The blocky and angular design of this vehicle drew inspiration in Musk for the Cybretruk prototype.

It's no secret that Elon enjoys driving, he daily-drove his Mclaren F1 back then, and he daily drives his teslas today. He's been seen driving his Cybertruck around Los Angeles on many occasions. According to one of his tweets, the cars he drives the most are his Model S Performance, then a Model 3, and a Model X if he's driving with his kids.

Related:15 Things We Learned About Tesla's New Cybertruck

All of Tesla's vehicles are super fast. The Model X is the quickest SUV on the market with a 0-60 mph of just 2.9 seconds; this 3 row SUV is faster than most supercars. Same with the Model 3 performance, as well as the Model S. Elon has made sure Tesla's cars are fast and sporty.

Elons roadster served as a dummy payload for a Falcon Heavy test flight. The car was set free on space with a mannequin dressed in a spacesuit. The Roadster is now wandering around space.

Its predicted that radiation will start destroying parts of this car while in space, and that the only parts that will last are the aluminum frame, inert metals and glass (not shattered by meteoroids).This car is the only production vehicle outside the planet earth.

Trucks have been the same for 100 years, and Elon wants the first Tesla truck to re-invent how trucks are. With its stainless steel monocoque construction (Elon calls it ''exoskeleton''), the Cybertruck moves the stress from the frame to the skin of the vehicle. Allowing in this way to have a better towing capability as well as a more durable body.

Before Tesla, electric cars were slow, expensive, and had a very short range in terms of autonomy. In a way, Elon did with Tesla what Ford did with the Model T. Tesla has set the standard for electric cars, and thanks to its success, now we see every automaker making efforts to came out with better electric cars.

Sources: Business Insider, Autoblog, Youtube

Next:These Are The 10 Cars We Hope To See In The US From The PSA-FCA Merger

Next15 Supercars That Deserved Life But Were Discontinued

Augusto Bove is an International Commerce graduate based in Montevideo Uruguay.He's been obsessed with cars since he was a kid. Expert on international automotive markets. Frustrated designer. Dad of 2 puppies. Always looking for a new place to hike.

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Elon Musk Really Is A Huge Gearhead (These Facts Prove It) - TheThings

Coronavirus : New travel advisory

Aerospace giant Airbus, which has been developing smell cameras to detect explosives, is working on sensors that could detect the coronavirus. Microprocessors made of biological cells are used in sensors to identify chemicals and microbes in the air. This technology could be used to provide warning in areas contaminated with SARS-CoV-2 as similar technology has already been used to detect cancer and influenza.

Airbus has partnered with Koniku, a California-based start-up which specializes in neurotechnology for the project. As virus makes slight tweaks to particles produced by humans, smell cameras can detect the alterations that act as markers.

Airbus said in a statement that the company and Koniku Inc entered into a corporate agreement in 2017, "leveraging Airbus' expertise in sensor integration and knowledge of ground and on-board security operations within the aviation and defense industries." Founder & CEO of Koniku, Osh Agabi, stated in a blog post that both the companies have been working to develop a biotechnology solution to track and locate explosives or chemicals in aircraft or at airports.

"We are now adapting our development activities to include the detection and identification of biological hazards including pathogens such as the novel coronavirus, SARS-CoV-2 with encouraging signals as of today."

Product security director of Airbus, Julien Touzeau, said in the best conditions the technology has a quick response of under 10 seconds. They are trying to improve it over time. When a specific molecular compound is detected, receptors in sensors would raise an alarm. As compared to sniffer dogs, the system will be faster, cheaper and more reliable.

US travel restrictions

Efforts such as the one by Airbus come as the US Travel Association is eagerly waiting for COVID-19 travel restrictions to ease. They have submitted a 15-page report to the White House and state governors highlighting health and safety guidelines for careful reopening of the travel industry. The US government imposed travel restrictions on March 16 in order to curb the spread of the virus.

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Airbus working on sensors that can detect coronavirus - International Business Times, Singapore Edition