Artificial Intelligence in Medicine | Journal …

Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, medically-oriented human biology, and health care.

Artificial intelligence in medicine may be characterized as the scientific discipline pertaining to research studies, projects, and applications that aim at supporting decision-based medical tasks through knowledge- and/or data-intensive computer-based solutions that ultimately support and improve the performance of a human care provider.

Artificial Intelligence in Medicine considers for publication manuscripts that have both:

Potential high impact in some medical or healthcare domain; Strong novelty of method and theory related to AI and computer science techniques.

Artificial Intelligence in Medicine papers must refer to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended.

Artificial Intelligence in Medicine is looking for novelty in the methodological and/or theoretical content of submitted papers. Such kind of novelty has to be mainly acknowledged in the area of AI and Computer Science. Methodological papers deal with the proposal of some strategy and related methods to solve some scientific issues in specific domains. They must show, usually through an experimental evaluation, how the proposed methodology can be applied to medicine, medically-oriented human biology, and health care, respectively. They have also to provide a comparison with other proposals, and explicitly discuss elements of novelty. Theoretical papers focus on more fundamental, general and formal topics of AI and must show the novel expected effects of the proposed solution in some medical or healthcare field.

Following the information explosion brought by the diffusion of Internet, social networks, cloud computing, and big-data platforms, Artificial Intelligence in Medicine has broadened its perspective.Particular attention is given to novel research work pertaining to:

If you are considering submitting to Artificial Intelligence in Medicine, make sure that your paper meets the quality requirements mentioned above. English exposition must also be clear and revised with due care. Authors are kindly requested to revise their manuscripts with the help of co-authors that are fluent in English or language editing services before submitting their contribution. Papers written in poor English are likely to be rejected.

The mere application of well-known or already published algorithms and techniques to medical data is not regarded as original research work of interest for Artificial Intelligence in Medicine, but it may be suitable for other venues.

Artificial Intelligence in Medicine features the following kinds of papers:

Special Issues are regularly published and included among regular issues. Artificial Intelligence in Medicine is looking for special issues about current theoretical/methodological research or convincing applications related to AI in medicine. Special Issues compiled by one or more guest editors who are outstanding experts on the selected topic.

Artificial Intelligence in Medicine does not publish conference volumes or conference papers. However, selected and high-quality research results presented earlier at conferences may be published in Artificial Intelligence in Medicine, in the form of a thoroughly revised (rephrased) and extended (including new research results) original research paper.

Information for authors and further details about the editorial process can be found in the Guide for Authors section of the Artificial Intelligence in Medicine web page.

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trusted computing artificial intelligence (AI) information warfare – Military & Aerospace Electronics

ARLINGTON, Va. U.S. military researchers are reaching out to industry to prevent enemy attempts to corrupt or spoof artificial intelligence (AI) systems by subtly altering or manipulating information the AI system uses to learn, develop, and mature.

Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) issued a solicitation on Wednesday (DARPA-PA-19-03-09) for the Reverse Engineering of Deceptions (RED) project, which aims at reverse engineering the toolchains of information deception attacks.

A deceptive information attack describes enemy attempts subtly to alters or manipulates information used by a human or machine learning system to alter a computational outcome in the adversarys favor.

Machine learning techniques are susceptible to enemy information warfare attacks at training time and when deployed. Similarly, humans are susceptible to being deceived by falsified images, video, audio, and text. Deception plays an increasingly central role in information warfare attacks.

Related: Research, applications, talent, training, and cooperation frame report on artificial intelligence (AI)

The Reverse Engineering of Deceptions (RED) effort will develop techniques that automatically reverse engineer the toolchains behind attacks such as multimedia falsification, enemy machine learning attacks, or other information deception attacks.

Recovering the tools and processes for such attacks provides information that may help identify an enemy. RED will seek to develop techniques that identify attack toolchains automatically, and develop scalable databases of attack toolchains.

RED Phase 1 will produce trusted-computing algorithms to identify the toolchains behind information deception attacks. The project's second phase will develop technologies for scalable databases of attack toolchains to support attribution and defense.

Related: Air Force researchers ask industry for SWaP-constrained embedded computing for artificial intelligence (AI)

The project also seeks to develop techniques that require little or no a-priori knowledge of specific deception toolchains; automatically cluster attack examples together to discover families of deception toolchains; generalize across several information deception scenarios like enemy machine learning and media manipulation; require just a few attacks to learn unique signatures; and scale to internet volumes of information.

Companies interested should upload 8-page proposals no later than 30 July 2020 to the DARPA BAA Website at https://baa.darpa.mil/. Email questions or concerns to Matt Turek, the DARPA RED program manager, at RED@darpa.mil.

More information is online at https://beta.sam.gov/opp/f108cad02f824285af5ca85e1f7481f4/view.

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trusted computing artificial intelligence (AI) information warfare - Military & Aerospace Electronics

How Artificial Intelligence Could Lead to Better Investment Decisions – Barron’s

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The decision to invest in a company can rely on a lot of guesswork, but Kim Polese, co-founder and chairman of CrowdSmart, is using artificial intelligence to turn qualitative information into quantitative dataand reduce bias along the way.

When were talking about using collective intelligence, augmented collective intelligence, what were really talking about is using a combination of human and machine intelligence to improve the way that diligence is done, Polese said this past Wednesday at a BarronsInvesting in Tech panel. The founder of an artificial-intelligence platform designed to predict a companys potential for success, Polese detailed how the CrowdSmart platform works, and how it could help remove bias from the diligence process.

The system draws on the insights of a group of 25 or more people, selected for their different levels of expertise, to evaluate prospective investments, explained Polese, who said her career in Silicon Valley began 30 years ago at the first artificial-intelligence company to go public.

Those people are able to access all of the full diligence materials, so that might be videos, live Q&As with the teams, all of the financials, and, ultimately, a brainstorming process is kicked off, Polese said. Participants are given prompts, like do you find this a compelling investment opportunity? and what are your top concerns? to assist in evaluating the companies.

By ranking the anonymous responses that come in, investors can start to drill down into those specific elements within this investment opportunity, Polese said.

Using natural language processing, the insights gathered are transformed into a quantitative score, which can determine the investment risk or opportunity.

While the platforms primary goal was to accurately predict investment success, one side effect has been the reduction of bias, she said. Traditionally, venture-capital funding has been very much a relationship-driven, network-driven business that can leave behind underrepresented founders without connections in the industry, Polese said.

When Polese first used the platform to pick investments about four years ago, she said 42% of the highest-scoring companies were founded or led by women. That result was not something we set out to achieve as a goal, [but] a side effect of reducing ingrained bias, which is an important element of this approach, she said.

The diligence process takes place over the course of a couple of weeks and is designed from the ground up to be virtual, remote, said Polese. It can be applied to companies in different stages, from start-ups to public offerings.

By scaling diligence this way, you dont have this tiny little funnel that only a few deals can get through, Polese said. Youd have a much wider funnel that then you can evaluate with more predictive accuracy.

Email: editors@barrons.com

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How Artificial Intelligence Could Lead to Better Investment Decisions - Barron's

Artificial intelligence in embryo selection: a reality thanks to IVIRMA Global – PRNewswire

VALENCIA, Spain, July 6,2020 /PRNewswire/ --As spectacular and futuristic as it may seem, using Artificial Intelligence to automatically analyze embryos in a standardized way to improve pregnancy rates is already a reality. This is confirmed by an IVIRMA Global study entitled 'A universal algorithm is available in last generation time-lapse incubators: embryo score provided by the KIDScoreD5 is strongly correlated with chromosomal status and clinical outcomes'.

IVIRMA Global has already participated in the development of the EmbryoScope (incubator with time-lapse technology) from its beginnings, helping in its evolution and laying the foundations for automatic embryo selection. In its latest development, EmbryoScope presents its newest software system, KIDScoreD5, which automatically performs embryo selection and classification.

The study has been carried out over the last three years and has become the most extensive case study in the history of embryology to date (more than 20,000 embryos and more than 3,000 patients have been analyzed). In the study, IVIRMA Global has demonstrated that universal, standardized and automatic embryo selection is a reality for the field of embryology. As the study's principal researcher, Dr. Marcos Meseguer, scientific supervisor of IVI Valencia, comments, "The KIDScoreD5 system automatically classifies embryos using Artificial Intelligence, it detects and evaluates all the steps in the development of the embryo and also classifies its morphology".

Dr. Meseguer points out that, "We have seen that the KIDScoreD5 system makes an assessment to distinguish between those embryos that are more likely to be chromosomally normal, called euploid embryos, and those that are not, called aneuploid embryos." Based on the score the system gives each embryo, we know its probability of gestation and the possibility of taking a healthy baby home.

The KIDScoreD5 system analyzes the embryos automatically classifying them from one to ten depending on their quality and morphology. Since automated embryo selection is more accurate than manual selection, the probability of a successful pregnancy is directly linked to the percentage score and, therefore, the patient has a greater chance of success.

Main values of the study and the KIDScoreD5 system

About IVIRMA Global

IVI was founded in 1990, as the first medical institution in Spain fully dedicated to assisted reproduction. Since then it has helped with the birth of more than 200,000 babies thanks to the application of the latest technologies. In early 2017, IVI merged with RMANJ, becoming the largest assisted reproduction group in the world. It currently has more than 65 clinics in 9 countries and is the leading centre for reproductive medicine. http://www.ivi.es- http://www.rmanetwork.com.

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SOURCE IVIRMA Global

http://www.ivi.es

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Artificial intelligence in embryo selection: a reality thanks to IVIRMA Global - PRNewswire

Second plenary meeting of the Ad Hoc Committee on Artificial Intelligence (CAHAI) – Council of Europe

The second plenary meeting of theAd Hoc Committee on Artificial Intelligence (CAHAI)will be held from 6 to 8 July 2020, bringing together representatives of the 47 Council of Europe member states, observer states (Canada, USA, Holy See, Israel, Japan, Mexico) as well as civil society, academia and the Council of Europe's Internet partners.

The CAHAI observer group is expanding with the participation of Israel for the first time and 12 new stakeholders. Other international organisations (EU, OECD, UNESCO) will also contribute to CAHAIs work.

CAHAI members will make concrete proposals on the feasibility study of a future legal framework on artificial intelligence (AI) based on human rights, democracy and the rule of law. In this connection, they will address issues such as the mapping of legal instruments applicable to AI and the opportunities and risks arising from the design, development and application of AI on human rights, rule of law and democracy, which have already been subject of a preliminary analysis.

Other issues such the scope and main elements of the above-mentioned legal framework will also be discussed.

This will provide the necessary impetus for the preparation of the first draft of the feasibility study, which will be presented at the CAHAI plenary meeting in December 2020.

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Second plenary meeting of the Ad Hoc Committee on Artificial Intelligence (CAHAI) - Council of Europe

The main beneficiaries of artificial intelligence success are IT departments themselves – ZDNet

Artificial intelligence, seen as the cure-all for a plethora of enterprise shortfalls, from chatbots to better understanding customers to automating the flow of supply chains. However, it is delivering the most impressive results to information technology departments themselves, enhancing the performance of systems and making help desks more helpful. At the same time, there's a recognition that AI efforts -- and involvement -- need to expand beyond the walls of IT across all parts of the enterprise.

This is one of the takeaways of a recentsurveyof 154 IT and business professionals at companies with at least one AI-related project in general production, conducted and published by ITPro Today, InformationWeek and Interop. Among those survey respondents with at least one AI application in general production, those with "excellent" and "very good" results comprise 64% of the group -- excellent results account for 23% of respondents and 41% report very good results.

Looking at the characteristics of the successful AI leaders, top use operational cases include predictive maintenance (54%), Inventory and supply chain optimization (50%) and manufacturing analytics (50%). At the same time, many respondents see the greatest benefits going right to the IT organization itself -- 63% say they hope to achieve greater efficiencies within IT operations. Another 45% aim for improved product support and customer experience. Another 29% seek improved cybersecurity systems.

The top IT use case is security analytics and predictive intelligence, cited by 71% of AI leaders. Another 56% say AI is helping with the help desk, while 54% have seen a positive impact on the productivity of their departments. "While critics say that the hype around AI-driven cybersecurity is overblown, clearly, IT departments are desperate to solve their cybersecurity problems, and, judging by this question in our survey, many of them are hoping AI will fill that need," relates Sue Troy, author of the survey report. "On the help desk, meanwhile, AI tools are using predictive analytics to improve decision-making around incident management and demand planning. And AI is being used for help desk chatbots and intelligent search recommendations."

There is a significant need for AI expertise and skills. More than two in three successful AI implementers, 67%, say they are seeing shortages of machine learning and data modeling skills, while 51% seek greater data engineering expertise. Another 42% say compute infrastructure skills are in short supply.

Security ranks as the top concern among successful AI implementers, with 44% citing this as their leading issue. Model transparency or the degree to which the inner workings of AI algorithms are visible to users of the technology was the second-leading concern, as cited by 36%, "Model transparency is an especially thorny issue," Troy relates. "A high level of transparency can help mitigate bias and promote trust of the system, but it carries concerns that model explanations can be hacked, making the tech more vulnerable to attack." Built-in bias follows among 33%, as well as concerns about unexpected or unusable outcomes with 33%.

When asked about specific AI technologies they expected to incorporate into their workplaces in the next six to 24 months, machine learning tops the list among successful AI sites, cited by 55%. Deep learning follows at 53%, and intelligent robotic process automation (RPA) rounds out the top three at 52%.

Successful AI projects take time to roll out. The typical AI project took six months to a year to complete, close to half of successful AI implementers (47%) indicate. Close to one-third, 32%, report taking more than year. Only 21% were able to wrap up AI initiatives in less than six months. The costs of these projects were kept in line -- 45% said the project cost about as much as planned, while 25% said the costs ran over budget. By contrast, 40% of those with less-successful AI initiatives report cost overruns. "The more experienced IT practitioners are with AI, the better able they are to project costs and avoid going over budget," Troy says.

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The main beneficiaries of artificial intelligence success are IT departments themselves - ZDNet

VeChain Is Attending the World Artificial Intelligence Conference 2020 Hosted By Shanghai Municipal People’s Government – PRNewswire

VeChain will be opening the first blockchain technology session in this conference, with our session titled "blockchainize the future, power the economy".

The blockchain forum will be co-hosted by the Shanghai Municipal Commission Of Economy And Informatization, Shanghai Finance Information Association and several other large enterprises and organizations. VeChain will be sharing our experience in the blockchain deployment, integration and usage for various business scenarios and current successful users.

VeChain Attending WAIC Alongside Tech Giants and Juggernauts

Since the first WAIC in 2018, the event has become a grand meeting and festival, accumulating international influences across various industries. In line with the growing trend of the online new economy and digital transformation, this year's conference will be inviting top-of-line tech enterprises, including Microsoft, Amazon, Alibaba, Tencent, Huawei and more.

This event will be the perfect avenue for VeChain to showcase our industry-leading blockchain infrastructure and technology. As the company responsible for opening the blockchain session of the WAIC conference, we have no doubt that our keynote will be closely listened to by other attendees and VIPs invited to the event.

Blockchain: Trillion Yuan Focal Point Of The Chinese Government and Economy

On 20 April 2020, China's National Development and Reform Commission (NDRC), the cabinet-level department that draws up policies and strategies for the direction of the Chinese economy, has expanded its definition of "new infrastructure" to include blockchain technology.

Investment in new infrastructure is expected to comprise 7%-12% of all infrastructure spending, with China International Capital Corporation (CICC) seeing new infrastructure investment of between 1-1.8 trillion yuan. As blockchain technology is becoming one of the major technical forces to boost the post-COVID economy, WAIC intends to open more discussions around its development.

With the theme of "Intelligent Connectivity Indivisible Community", this Conference will be a high level platform attracting the most influential scientists and entrepreneurs around the world as well as government leaders to converse and talk about the technological frontiers, industry trends and provoking issues in forms of speeches and high-level forums.

VeChain will capitalize on this massive opportunity to pitch and share our experience and solutions to all stakeholders attending the conference. We are confident that our reputation and experience in solving pain points in the business world will convince even more partners to come onboard and expand our networking opportunities.

About WAICArtificial intelligence has become a core driving force for the new round of industrial transformation and is exerting an extremely profound impact on the world's economy, social progress and human life. In order to deepen the integration of the Internet, big data, artificial intelligence and the real economy as required by the Party's 19th National Congress, better serve the national innovation-driven development strategy, follow the international trend of new round of technology revolution and industrial reform and to develop Shanghai into a globally known center of science and innovation, Shanghai is set to build the world's top platform for AI cooperation and exchange via series of global conferences so as to promote and lead the integration of AI industry and technological innovation amid the global trend of new scientific and technological revolution and industrial transformation.Website: http://www.worldaic.com.cn/portal/en/aboutus.html

About VeChainLaunched in 2015, VeChain connects blockchain technology to the real world by providing a comprehensive governance structure, a robust economic model, and IoT integration. VeChain is the pioneer of real-world applications using public blockchain technology, with international operations in Singapore, Luxembourg, Tokyo, Shanghai, Paris, Hong Kong, and San Francisco. Together with our strategic partners PwC and DNV GL, we have established cooperative relations with many leading enterprises in different industries, including Walmart China, Bayer China, BMW, BYD Auto, Haier, H&M, LVMH, D.I.G, ENN, Shanghai Gas, AWS, PICC, ASI etc.Website: http://www.vechain.com

SOURCE VeChain

http://www.vechain.com

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VeChain Is Attending the World Artificial Intelligence Conference 2020 Hosted By Shanghai Municipal People's Government - PRNewswire

Heres the list of interdisciplinary Artificial Intelligence online courses for non-engineers – The Indian Express

By: Education Desk | New Delhi | Published: July 5, 2020 4:45:59 pm Online classes for artificial intelligence (Representational image)

Artificial Intelligence (AI) is an evolving technology which is thriving among every business group in the world. AI is everywhere. As many as 20 per cent of jobs are likely to be AI-based jobs in most companies, according to McKinsey global institute. But what is artificial intelligence and how can it be useful for your field, if you have been thinking about this, we have got you covered.

Here is a list of courses that can help young professionals of any stream boost up their skill-set. These courses are imparted online, are short-term, flexible, and can be a good utilisation of the lockdown period.

AI for everyone: This course is offered by online platform Coursera and offered by deeplearing.ai. Coursera claims to provide a definitive picture related to what AI is, how can you build it in your company, and how versatile it is. The course will teach learners how to spot opportunities to apply AI to problems in your own organisation, what it feels like to build machine learning (ML), and data science projects, as per Coursera. It is 6 hour-long course and available free of cost.

Read| Emerging courses to pursue:Virology|Actuarial science| Pharma Marketing|FinTech|Coronavirus|Robotics | Healthcare Engineering | Cyber Security| Data Science | Petroleum and Energy | Design Strategy | Business analytics | Digital auditing | Digital marketing

Artificial intelligence A-Z: This course is created by Kirill Eremenko founder of the super data science team available at Udemy. This course provides insights to beginners as it covers all the basics of artificial intelligence. Udemy claims to teach about the virtually operated self-driven car, solving real-life world problems with AI, playing games with the help of AI, etc through this course. It is a 17-hour long course which provides a certificate on completion of the course.

Introduction to AI: Created by Microsoft and offered by edX, the course focuses mainly on communicating with artificial intelligence. Through the course, students will understand the language of AI and ways to communicate with bots. It is free of cost with an optional paid certificate. The duration of this course is four weeks, accommodating 3-4 hours per week.

Artificial intelligence for trading and nano degree: The course is available at Udacity and particularly aims at training candidates in the trading and financing industry. Through this course, students will learn about analysis, investing research using AI, compare historical data with the current stats. Through the course, Udacity claims to provide personal career coach and real-life projects from industry experts. Its estimated time is six months which is divided into 10 hours per week. This paid course.

Read| Online courses to upskill during quarantine:Unique short courses to pursue online|Courses to enhance professional communication|Online courses that offer foreign degree|Online courses by Harvard University|online courses with IIM certification|Women directors to forensic audit: List of short online courses by ICSI|Job-oriented Swayam Courses|Hours long courses | English grammar

AI for business leaders: This course is in partnership with BMW and offered by Udacity. This course will help you see the language of business through the eye of Artificial intelligence. Company leaders will learn more about the technical and practical aspects of machine working and how it can be incorporated in ones business by giving powerful insights related to strategies, feedbacks, application, history of companys data etc. It will for sure help businesses to grow vast also for people to understand the technical working better. The duration of this paid course is 4-8 weeks at 5 hours per week.

Introduction to AI: The course is available on website elements of AI. It teaches about the basics of AI to beginners. To pursue the course, no prior skills in math or programming are required. The course claims to make learners understand how AI affects our day to day life and what can one do to enhance Artificial intelligence and increase its practical uses in our life. It looks into machine learning (ML) and the implications of AI, according to the website. It is a self-paced course, in which after completion you will be acquiring a merit-based certificate.

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Heres the list of interdisciplinary Artificial Intelligence online courses for non-engineers - The Indian Express

Are Sensors And Artificial Intelligence The Future Of Ageing-in-place Technology? – Scoop.co.nz

Monday, 6 July 2020, 3:36 pmPress Release: Securely

International research[1]is clearly showing the value of sensors in a privateresidence to extend the amount of time a person can remainindependently in their home for longer.SECURELY is atrust-owned New Zealand company that has a range of productsthat use sensors and artificial intelligence to monitoractivity within a home. These same products can indicateillness or deteriorating health by alerting family andcaregivers to changes in daily routine.

GeneralManager Mark Smith says having infra-red motion detectionsensors installed throughout the residence can let familyand carers know that a person is up and about in themorning. He said unusual patterns of activity, or lack ofactivity, such as not using the kitchen or bathroom can beearly indicators of illness that can be quickly followed upon.

Products like our FAMILY and PRO packs havesensors linked to an APP that enable family to view activityfrom wherever they may be at work or living in adifferent town. Its unobtrusive for those in the home,but it provides greater peace of mind for family andcarers.The resident themselves can summon help at anytime using their medical alarm, through a pendant or simplycalling for help using voice activated emergency calldevice."

Mark Smith says technology is providinggreater independence and peace of mind for family and carersof seniors, but it also has potential for those with mentalillness and conditions like dementia as sensors can beinstalled on doors and gates with a text alert sent tofamily members.

ThefiguresAccording to the Ministry of SocialDevelopments Aging in Place": The Views of OlderHomeowners on Maintenance, Renovation and Adaptationolder people prefer to remain in the familyhome.Statistics NZ, 2013 Census, show that most peopleaged 65+ live in private dwellings but the proportiondecreases with age. In 2013, of people aged 65+ living inprivate dwellings: 59.3 % were aged 6574 years; 31.0 %were aged 7584 years; 9.7 % were aged 85+.

Thereare also sound financial reasons for seniors staying in thefamily home for longer. Compare the cost of a FAMILY or PROpack at a few hundred dollars compared with the cost ofresidential care which can range into the thousands permonth depending on whether you are eligible for theResidential Care Subsidy after being Means Tested, and thelevel of care and service you require.

Fallsin the homeWe know from ACC data that one thirdof people over 65 fall in their home every year. The ACCcost due to fall-related injuries in the home were more than$163milion in 2016, estimated to rise to $418 million by2025.Of those that fall, 60% spend an average of 12hours on the floor before being found. And 88% of thosefalls require hospitalisation[2].

Paintinga different picture with technologyBut forthose that had fallen and lain on the floor unable orunwilling to call for help (only 20% of those with a medicalalarm use it to call for help)[3]this could have been preventedthrough:

For a free in-homeconsultation reach out to us on 0800 865 865 or visit ourwebsite

http://www.securely.nz

formore information.

[1]International Journal of MedicalInformatics Volume 80, Issue 5, May 2011, Pages310-331Randomized Trial of Intelligent SensorSystem for Early Illness Alerts in SeniorHousingMarilyn Rantz 1, Lorraine J Phillips 2,Colleen Galambos 3, Kari Lane 2, Gregory L Alexander 2,Laurel Despins 2, Richelle J Koopman 4, Marjorie Skubic 5,Lanis Hicks 6, Steven Miller 2, Andy Craver 2, Bradford HHarris 5, Chelsea B Deroche 7

[2]Ministry of Health Ageing in Place Conference

[3]Ministry of Health Ageing in PlaceConference

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Are Sensors And Artificial Intelligence The Future Of Ageing-in-place Technology? - Scoop.co.nz

Erica The Artificial Intelligence Robot Is All Set To Be A Lead Actress in b – 90Xtra

Artificial Intelligence In Movies

If science experts from across the world are to be believed, then artificial intelligence is the next big thing that is going to hit the world. Amongst the science community, artificial intelligence has grown from strength to strength over the years, and it is no mystery that todays a revolution in itself. However, one cannot deny that the existence of artificial intelligence is just for the namesake of common people like you and me.

Talking more about artificial intelligence to Japanese scientists had created an artificial intelligence robot named Erica, which they had used for several years to get the hang of artificial intelligence uses that they can extract from her and other devices that could be made on similar lines.

Erica, the artificial intelligence robot, proved to be too good for the job and has been a great help for the scientists who are devising the new Internet of Things for artificial intelligence. Talking more about the application of artificial intelligence, a movie is being made in Hollywood, which will be titled b. Now the makers of the movie have decided that as the lead actress, they want to sign Erica the artificial intelligence robot.

It sounds strange, but it is the truth that they want the voice of Erica as their lead actress in a science fiction movie that they are about to produce pretty soon. What is to be seen is what character does Erica really play, and how does she give justice to what is needed in a real-time movie. The makers are confident that people are going to love Erica in the role of the lead actress.

They said that they had worked for over a year to extract and instill emotions and dialogue delivery in Erica, who had no such experience to know anything about all this. It will be interesting to see whether these emotions are able to replicate on the screen. Nevertheless, it is our revolutionary step, and fans are extremely excited to watch the film.

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Erica The Artificial Intelligence Robot Is All Set To Be A Lead Actress in b - 90Xtra