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As a young dentist, Dr. David Gane learned quickly that photographic imaging records were a terrific tool for his dental practice in many ways. Within 10 years he segued into his own imaging software company, and today hes the CEO of Apertyx Imaging.

In this discussion, he and Dr. Pamela Maragliano-Muniz agree that April was a challenging month for dentists and dental companies. But theyre encouraged by recent data from the Health Policy Institute and the American Dental Association that indicates dentistry is beginning to bounce back successfully and will continue to do so. Surveys from the HPI also show that most patients want to return to their dentists as soon as they're able.

Dr. Maragliano Muniz notes that to continue to be successful, dentists are investing more in themselves. She and Dr. Gane believe that an efficient imaging system is an excellent tool for dentists to spend their money on. Dr. Gane explains the advantages of Apteryx.

Editor's note:To viewDentistryIQ's full coverage of the COVID-19 pandemic, including original news articles and video interviews with dental thought leaders,visit theDentistryIQCOVID-19 Resource Center.

Pamela Maragliano-Muniz, DMD,is the chief editor ofDentistryIQ.Based in Salem, Massachusetts, Dr. Maragliano-Muniz began her clinical career as a dental hygienist. She went on to attend Tufts University School of Dental Medicine, where she earned her doctorate in dental medicine. She then attended the University of California, Los Angeles, School of Dental Medicine, where she became board-certified in prosthodontics. Dr. Maragliano-Munizowns a private practice, Salem Dental Arts, and lectures on a variety of clinical topics.

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Coronavirus impact on dental practices: Imaging software capabilities and artificial intelligence (Video) - Dentistry IQ

The coronavirus crisis demands a regulatory framework for the application of AI to protect public health without jeopardising human rights.

Our world has been shaken by the Covid-19 pandemic, pushing policy-makers to scramble for solutions. And even though the full set of such solutions remains elusive, already a return to normal is debated.

But what will this normal be? Powerful forces presume that the world before Covid-19 is the normal to which to return and it falls on progressives to push for new fundamentalsto help formulate a new normal. Clearly this is multifaceted and one facet is the role of technology.

Artificial intelligence, as a revolutionary force in restructuring production and consumption patterns, has long been on the agenda of policy-makers. The role of AI, as a creative but disruptive process in the job market, in healthcare, in educationeven in shaping our democraciesis undeniable.

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Given the health focus of the continuing crisis, overcoming the regulatory, ethical and medical challenges posed by the use of AI in healthcare must be a priority. Defining the framework to do so will be a pivotal initial step in guaranteeing thatthe new normal producesa fair outcomethat fundamental rights are safeguarded while simultaneously improving healthcare for all.

If supported by adequate and effective regulation, AI promises a wide array of opportunities to improve public health as well as the quality and efficiency of the healthcare sector. Without such a framework, AI has the potential to be just another instrument in a system where rights are sidelined for profit maximisation and biases are reproduced systemically.

The Parliamentary Assembly of the Council of Europe (PACE) is preparing a number of reports on the implications of AI. Asrapporteuron AI in healthcare, I must point to existingCouncil of Europe legal instrumentssuch as theConventionfor the Protection of Human Rights and Dignity of the Human Being with regard to the Application of Biology and Medicine(the Oviedo convention) and theConventionfor the Protection of Individuals with regard to the Automatic Processing of Personal Dataas guides for national regulatory efforts.

Clearly AI has played a critical role in the initial detection of the pandemic. It has been used in tracking the spread of disease and hospital capacity, in identifying high-risk patients and in developing drugs and, potentially, a vaccine. Maybe the most visible public debate regarding AI in healthcare has been over testing and tracing apps, which have been claimed as important tools to control the spread of the virus and provide valuable information to design strategies for exit from lockdown.

AIs highly promising potential for the future of public health in Europe is however not the only reality which the pandemic has laid bare. It has offered a stark reminder of socio-economic inequalitiesof the need to restrain over-marketisation and regulate markets, and to govern potential conflicts between ethical principles and market forces.

The lasting legacy of neoliberalism is manifested most notably in privatised healthcare and highly precarious job markets. This has aggravated the consequences of the pandemic, particularly for working people, for the unemployed and for the precariat. The unequal social and economic structures established and reinforced under neoliberal hegemony impede our capacity to address the challenges it has thrown up.

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Equally,had there been a trusted and well-defined regulatory framework, maybe AI could have had a much larger positive impact on the coronavirus crisis. The publics concern regarding the misuse and abuse of data by states, as well as the private sector, would have been mitigated.

We need to set a new framework capable of creating social benefits from AI while safeguarding fundamental rights and democratic governance and ensuring equality. These questions fit snugly into the debate as to what the new normal will be: will the means of surveillance for the sake of health purposes accelerate a totalitarian drift or will they be governed by an empowered citizenry? And will isolationist reflexes deepen or will multilateralism, co-operation and solidarity rise to the challenge?

These questionsare relevant to any discussion of AI and healthcarethe former to a regulatory framework that will ensure protection of human rights, the latter to whether AI in healthcare will be driven by co-operation and solidarity or, in their absence, profit-seeking objectives.

Evidently, health and personal privacy can never be alternativesthey must go hand in hand. Public trust in the state and the private sector can only prevail if all their agents guarantee basic human rights in developing and using AI.

Given the urgency of doing so in the struggle against the coronavirus, it is of utmost importance to agree on at least a workable basic framework that will enhance trust and make AI operational for the better. And the Covid-19 outbreak has shed light on its critical aspects.

Such a framework should ensure that AI in healthcare empowers citizens in making better-informed decisions and provides information to hold governments accountable for the decisions they make. So that AI does not become instrumental in aggravating inequalities, it should also ensure that data and algorithms are unbiased, and that processes are transparent and inclusive.

It should be based on well-defined liability and a well-balanced public-private dialogue. It should put in place the conditions and guarantees to ensure that pursuing the collective interest does not override individual rights. It should require that technology used for monitoring and tracking is only used temporarily and does not become a permanent feature.

When the new regulatory framework is designed, the point of departure should be recognition of access to healthcare and protection of personal data and privacy as fundamental, indispensable rights. Technology-driven opportunities such as AI should be incorporated into healthcare systems in ways that guarantees equal access while safeguarding those rights. Only then will we not only overcome this pandemic but ensure we are ready to tackle the next one better.

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Artificial intelligence, healthcare and the pandemic - Social Europe

COSTA MESA, Calif.--(BUSINESS WIRE)--Veritone, Inc. (Nasdaq: VERI), the creator of the worlds first operating system for artificial intelligence, aiWARE, today announced the findings of an industry survey conducted in collaboration with Future Media Entertainment Group, which reveal that a majority of television organizations are embracing AI, and view the technology as a competitive necessity.

The report Pulse Check on AI Adoption: How the TV industry uses AI today and where its headed is based on a survey of individuals representing over 100 TV industry organizations. The report shows that while more than half of the industry is currently making conscious and strategic efforts to implement AI internally, the use of AI to track, analyze and monetize content more effectively is still in its infancy.

While the demand for AI technology is growing in the TV industry, there remains an untapped opportunity to use AI to generate smart content, engage audiences, and, in particular, to create operational efficiencies and new revenue streams, said Ryan Steelberg, president of Veritone. There is still enormous unrealized potential to fully leverage AI as a differentiator. Dominance in television and broadcast in the future will largely be driven by how well organizations take advantage of AI technology, especially now as the industry shifts to more remote work.

Key findings from the report include:

The report, based on the results of a survey conducted by Future Media Entertainment Group on behalf of Veritone, also reveals that AI implementation has been an exercise in trial-and-error for many businesses, and most are employing AI to complete repetitive, time-consuming tasks.

Details on these and other findings are included in the full report, which can be downloaded here: https://unlock.veritone.com/pulse_check_on_ai_adoption_in_television.

More information about Veritones products and services is available at http://www.veritone.com.

About Veritone

Veritone (NASDAQ: VERI) is a leading provider of artificial intelligence (AI) technology and solutions. The companys proprietary operating system, aiWARE powers a diverse set of AI applications and intelligent process automation solutions that are transforming both commercial and government organizations. aiWARE orchestrates an expanding ecosystem of machine learning models to transform audio, video, and other data sources into actionable intelligence. The companys AI developer tools enable its customers and partners to easily develop and deploy custom applications that leverage the power of AI to dramatically improve operational efficiency and unlock untapped opportunities. Veritone is headquartered in Costa Mesa, California, and has offices in Denver, London, New York, San Diego, and Seattle. To learn more, visit Veritone.com.

Product or service names mentioned herein are the trademarks of their respective owners.

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Veritone Releases Industry Report Putting Spotlight on TV Industry's Increasing Embrace of Artificial Intelligence - Business Wire

Master Qui-Gon, more to say, have you?

It is requested that this article, or a section of this article, be expanded.

Artificial intelligence was a form of technology that could be installed into droids to give them some degree of independent thought.[1] Doctor Gubacher of the Galactic Republic was an artificial intelligence specialist, designing and making modifications to droids for the Republic during the Clone Wars.[2] Kallon, a member of the Free Ryloth movement, was considered to be a genius with artificial intelligence, and had used his knowledge to reprogram the brains of Separatist droid fighters.[1]

The Eternal Rur, was the name held by the disembodied consciousness of a deceased male human Rur which was stored within the Rur crystal. It was located at the Citadel of Rur and was destroyed around 0 ABY.[3]

In the time following the Battle of Endor, Imperial Grand Admiral Rae Sloane tried listening to a phono-play about a droid containing an artificial intelligence named ADAM.[4]

The auto-fighters were automated TIE line starfighters that were produced by the forces under Commodore Visler Korda on the planet Rekkana.[5]

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Artificial intelligence | Wookieepedia | Fandom

For a quick overview of a subject or a breakdown of concepts, SlideShare serves as a go-to platform for many. The recapitulations found in many of the presentations are both concise and informative.

The most popular presentations are the ones that have received the most number of likes and have been viewed more than the other presentations in a particular category.

AIM brings you the 14 most popular presentations on Artificial Intelligence, Machine Learning. Deep Learning and everything else in between.

People who are not aware of what artificial intelligence is will find the topic presented in a very simple manner here.

Along with the explanation of what AI is, the two major approaches towards AI are discussed logic and rules-based approach, and machine learning approach. Special emphasis on machine learning approach can be seen in the slides devoted to its detailed examination. The examination goes beyond the rudimentary explanation of what machine learning is and presents examples of proxies that seem like machine learning but are not.

The presentation lists examples of AI in the field of law and identifies some of the limitations of AI technology.

For the uninitiated, this presentation offers an ideal rundown of AI. The question of AI being a threat is raised at the very beginning. However, as the presentation progresses, it discusses the basics necessary for understanding AI. The most basic question of what is artificial intelligence is answered.

A brief history of AI and the discussion on recent advances in the field of AI is also found. The various areas where AI currently sees practical application have been listed. Fascinating uses that AI can be put to in the future are also found in the presentation. The two approaches of achieving AI, machine learning and deep learning, is touched upon.

All in all, this presentation serves as a simple introduction to AI.

An exciting application of AI can be found in chatbots. Here, the limitless scope of chatbots is explored. The various milestones reached by leading players in bot technology such as Facebook, Skype and KIK are enumerated.

The evolution of chatbots and its absorption of more AI in the future is also looked into. E-Commerce is touted as the biggest beneficiary of the advancement in chatbots and that bot technology will owe its rise to services and commerce.

Two tech giants, Facebook and Google, have been pitted against each other based on their ongoing developments in this area and the question of who will emerge as the best is raised.

This presentation talksabout the far-fetching applicability of AI and ML,and the perils of that applicability. In order to derive a better understanding of this presentation, it is advisable to first watch the original talk.

During the course of the presentation, many examples of how machines can learn and perform any human task that is repetitive in nature are cited.

Other possibilities suggested include the creation of new unheard jobs for human beings as a result of aggressive use of AI and other allied technologies. Qualities that are characteristic only of human beings, may be the basis on which these jobs will be created is also suggested.

It concludes with a message- Ride the train, dont jump in front of it.

In this presentation, Carol Smith establishes that AI cannot replace humans. Smith conveys that AI can serve the purpose of enabling human beings in making better decisions.

The slides talk about how the actions of AI are the result of the human inputs going into its programming. An AIs bias is not its own, but the human bias with which it has been programmed, is emphasised on.

Other issues such as the need for regulations and other considerations within it that require deliberation are also touched upon. The presentation leaves you with a message Dont fear AI, Explore it.

Though no descriptive breakdown of topics related to AI is found, the presentation offers interesting numerical insights into many questions. Statistics on three main subjects artificial intelligence, virtual reality and wearable technology, is provided here.

A variety of questions and the numerical representations of their responses are found under four main categories:

From consumer opinions to overall consensus of countries, the numbers show current trends and the possible trends in the future based on increasing development in the mentioned technologies.

There are many who have been introduced to AI only recently due to the buzz surrounding it and may not be aware of the early developments that led to its current status.

This presentation from 2009 offers a simple yet informative introduction to the rudiments of AI. AIs history and a timeline of all the significant milestones in AI up to 2009 can be found. The presentation also provides an introduction to AI programming languages such as LISP and PROLOG.

For those who would like to have a crash course on the basics of AI in order to catch up with it current trends, this presentation serves the purpose.

While the concepts of AI or ML are not spoken about, light is shed on other important aspects of it. The presentation discusses about how many known tech giants such as Google are bolstering their AI capabilities through mergers and acquisitions.

The role of venture capital(VC) in the landscape of AI and machine learning,and the involvement of VC in the firms that were acquired are mentioned.

Another point highlighted is how large companies are moving towards ML and re-configuring themselves around ML, and how it is not a US-centric phenomenon. Key points have been expressed in the form of self-explanatory graphical representations. Rounding off the presentation is the possible direction that ML can take and a few pointers on achieving success in ML.

This presentation provides a comprehensive insight into deep learning. Beginning with a brief history of AI and introduction to basics of machine learning such as its classification, the focus shifts towards deep learning entirely.

Various kinds of networks such as recurrent neural nets and generative adversarial networks have been discussed at length. Emphasis has been given to important aspects of these networks and other mechanisms such as natural language processing (NLP).

Detailed examples of practical applications and the scope of deep learning are found throughout the presentation. However, this presentation may prove difficult for first time learners of AI to comprehend.

The subject of self-learning of robots and machines is explored here.Talking about the fictional Babel fish, it is suggested that the advancements in technology leading to improved learning and translations by machines made the Babel fish a near-real entity.

New power values such as speed, networked governance, collaboration and transparency, among others, have been put forth and juxtaposed against older ones that are not fully technology driven.

Going against the popular assumption that robots and machines will replace human beings, the presentation proposes that we are on the brink of the largest job creation period in humanity.

This presentation is a briefing paper by the MIT Technological Review and talks about how the global adoption of AI is being sped up by Asian countries. It suggests that Asia will not only benefit greatly from the rise in AI technology, but will also define it.

The data collected for the review has been summarized in the form of simple info-graphics. They are a numerical reflection of the mood surrounding the adoption of AI across different industries and how it could possibly impact human capital. The review also suggests that while there is awareness about AI in Asia, only a small percentage of companies are investing in it.

Pointers for business leaders in Asia to capitalize on AI is offered in the end along presentation with an info-graphic timeline of the history of AI.

While they are two separate presentations, they talk about the same subject- machine learning. The presentations are a summary of the analysis of machine learning adopted by two platforms, Netflix and Quora.

In case of Netflix, emphasis has been given to the choice of the right metric and the type of data used for testing and training. It also emphasises the need to understand the dependence between the data used and the models employed. The advice to optimize only areas that matter is offered.

The second presentation on Quora, talks about teaching machines only what is necessary. It stresses on the need the to focus on feature engineering and being thoughtful about the ML infrastructure. Another point it highlights is the combination of supervised and unsupervised being the key in ML application.

With 135 slides, this presentation provides an exhaustive insight into the creation of an ethically sound AI. An introduction to the subject of User Experience(UX) design is followed by the rules that have to be considered during the designing process.

The chronological progression of UX, beginning with experience design and ending with intelligence design, and the direction in which this process is headed is also discussed.

Supported by powerful visuals, the presentation touches upon many essential considerations such as nature of intelligence, purpose of existence, awareness of self and the need for which the AI is created.

It raises a pertinent point that while creating AI,human beings are creating something that embodies qualities that they lack.

Made for a school competition in 2009, it provides many examples of cutting-edge applications of AI at the time.

Many of the examples, such as mind controlled prosthetic limbs, Ultra Hal Assistant and Dexter- the robot provide a trip down the AI memory lane where the applications of AI seemed like a page out of a sci-fi novel. It presents a list of areas where AI can assist human beings.

It concludes with a series of questions, some of which, are still being debated. Such as machines replacing human beings and human unemployment due to the use of machines.

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