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MarqVisions technology comes at a time when the global counterfeit market is exploding, as it is projected to grow another 50% this year to reach nearly $3 trillion in 2023.

LOS ANGELES and PARIS (PRWEB) June 27, 2022

MarqVision, a next-generation, AI-powered IP protection platform, today announced that it is the recipient of a coveted 2022 Innovation Award from LVMH Mot Hennessy Louis Vuitton (LVMH). The company was recognized in the Data and Artificial Intelligence Special Mention category at this years Viva Technology show in Paris, which took place June 15-18. As a winner, MarqVision has been invited to join the LVMH accelerator program, La Maison des Startups, at the Station F incubator.

For the past six years, the LVMH Innovation Awards program has been one of the highlights of the Viva Technology show, which has itself become a key event for the worlds innovation ecosystem. Through its participation, LVMH recognizes the need to support entrepreneurial spirit and innovation in order to build a better future for everyone. It also demonstrates how its own success is due in part to the ongoing dialogue between its 75 Maisons and the world of startups, a constant source of creativity.

MarqVisions technology comes at a time when the global counterfeit market is exploding, as it is projected to grow another 50% this year to reach nearly $3 trillion in 2023. The companys technology enables efficient removal of counterfeits end-to-end by automating the traditional anti-counterfeiting process. Its proprietary AI models detect counterfeits with 95%+ accuracy and remove counterfeit sales at scale.

MarqVision was one of more than 950 startups to apply for the 2022 Innovation Awards, and applications were received from 75 countries. A total of 21 startups from 10 different countries were selected as finalists, notably reflecting their ability to enhance the customer experience through different dimensions.

It is such an honor to receive an Innovation Award in the Data & Artificial Intelligence category, considering the amazing companies that participated this year, said DK Lee, co-founder and CBO of MarqVision. We are thrilled that MarqVision has been singled-out for developing first-of-its-kind technology to address the massive global counterfeit problem and theft of intellectual property. Our platform uniquely exists to protect human creativity and innovation in todays digital world, which is perfectly aligned with LVMHs vision for the Innovation Awards.Three of the LVMH Maisons have already selected MarqVision as their brand protection provider.

At LVMH, Innovation is our lifeblood. Its what allows us to continually increase the desirability of our Maisons products and services. The finalists of the 2022 Innovation Award will bring us their capacity to nourish the encounter between luxury and technology even more as their entrepreneurial spirit joins and inspires our own, says Bernard Arnault, CEO and Chairman, LVMH.

About the LVMH Innovation AwardThe LVMH Innovation Award was introduced in 2017 to recognize promising start-ups from around the world. The award affirms the importance of new ideas resonating with the groups core values of excellence, creativity, innovation, and entrepreneurial spirit. Each year, hundreds of startups submit to be chosen as finalists and be invited to be part of the LVMH Lab during the Viva Technology Show in Paris which brings together the game changers driving the digital transformation around the world.

About MarqVisionMarqVision helps global brands identify and remove counterfeits from more than 1,500 online marketplaces across the world. Counterfeiting is a massive and growing threat worldwide, and MarqVision is on a mission to protect creativity and innovation with technology that allows brands to automatically monitor and protect their IPs. Harnessing image recognition and natural language processing, this AI-powered SaaS makes it faster than ever before to take down counterfeits. Founded in 2020 by Harvard Law graduates and backed by Softbank and Y Combinator, MarqVision is bringing forth the next evolution of brand protection for businesses everywhere. Learn more: http://www.marqvision.com.

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MarqVision Wins Prestigious LVMH 2022 Innovation Award for Data and Artificial Intelligence - PR Web

GILBERT, Ariz. (PRWEB) June 27, 2022

Seasoned author Norbert Weissinger has released his newest science fiction novel. Bardolomy tells the story of Draedon Ekho, a freighter pilot searching among the stars for a new home after Earth succumbs to war, flooding, and storms.

Draedon finds himself in a world unlike any place he has been before, where he is welcomed by a friendly race of evolved humans engineered by an A.I. Due to its two suns, the planet has a dangerous climate full of storms, torrential rain, solar flares and searing heat which forces the population into underground hibernation for years at a time. Draedon is faced with the challenge of repairing his ship to leave the planet or transforming himself to live among the natives and their terrible secret to survival.

I found inspiration in Territorial Imperative by Robert Ardrey and The Left Hand of Darkness by Ursula K. Le Guin, Weissinger said those books influenced aspects of building my own world for Bardolomy

Weissinger also explores the ideas and ethics behind what it means to relinquish control to an A.I., and questions its ability to acquire ethics.

"An A.I. may be able to prevent wars by modifying our behavior, but at what cost if it cannot develop suitable ethics?" Weissinger asks, "If an A.I. achieved success, when would it know to stop, since it is essentially immortal? Would it continue its tinkering with the human genome, turning our species into a menagerie? If humans cannot agree on ethical standards, how can they impart ethics to a robot?"

Combining philosophical speculation with a gritty survival tale, Bardolomy is designed to take the reader on an escapist ride into the future and a man's search for identity in an age of manufactured humans.

BardolomyBy Norbert Weissinger ISBN: 978-1-6655-5077-2 (softcover); 978-1-6655-5078-9 (electronic) Available at AuthorHouse, Amazon and Barnes & Noble

About the authorNorbert Weissinger was born in Germany and grew up in the U.S., where he studied biology and computer programming. He is the author of Bottom Time, a non-fiction account of his commercial diving experiences, and 1001 Word Rebuses, a word puzzle book. He has many interests, including chess, tennis, travel and reading and writing science fiction. You might find him in Thailand part of the year, or on a good hiking trail. He is married and lives in Arizona. This is his second science fiction novel. For more information, please visit https://www.norbertweissinger.com/.

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General Inquiries: LAVIDGE PhoenixAshley Fletcherafletcher@lavidge.com

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Author Examines the Dangers of Artificial Intelligence Powered Genetic Modification - PR Web

Enlarge / "It's a cookbook?!"

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Back in the 1950s, in the earliest days of what we now call artificial intelligence, there was a debate over what to name the field. Herbert Simon, co-developer of both the logic theory machine and the General Problem Solver, argued that the field should have the much more anodyne name of complex information processing. This certainly doesnt inspire the awe that artificial intelligence does, nor does it convey the idea that machines can think like humans.

However, "complex information processing" is a much better description of what artificial intelligence actually is: parsing complicated data sets and attempting to make inferences from the pile. Some modern examples of AI include speech recognition (in the form of virtual assistants like Siri or Alexa) and systems that determine what's in a photograph or recommend what to buy or watch next. None of these examples are comparable to human intelligence, but theyshow we can do remarkable things with enough information processing.

Whether we refer to this field as "complex information processing" or "artificial intelligence" (or the more ominously Skynet-sounding "machine learning") is irrelevant. Immense amounts of work and human ingenuity have gone into building some absolutely incredible applications. As an example, look atGPT-3, a deep-learning model for natural languages that can generate text that is indistinguishable from text written by a person (yet can also go hilariously wrong). It's backed by a neural network model that uses more than 170 billion parameters to model human language.

Built on top of GPT-3 is the tool named Dall-E,which will produce an image of any fantastical thing a user requests. The updated 2022 version of the tool, Dall-E 2, lets you go even further, as it can understand styles and concepts that are quite abstract.For instance, asking Dall-E to visualize an astronaut riding a horse in the style of Andy Warhol will produce a number of images such as this:

Dall-E 2 does not perform a Google search to find a similar image; it creates a picture based on its internal model. This is a new image built from nothing but math.

Not all applications of AI are as groundbreaking as these. AI and machine learning are finding uses in nearly every industry. Machine learning is quickly becoming a must-have in many industries, powering everything from recommendation engines in the retail sector to pipeline safety in the oil and gas industry and diagnosis and patient privacy in the health care industry. Not every company has the resources to create tools like Dall-E from scratch, so there's a lot of demand for affordable, attainable toolsets.The challenge of filling that demand has parallels to the early days of business computing, when computers and computer programs were quickly becoming the technology businesses needed.While not everyone needs to develop the next programming language or operating system, many companies want to leverage the power of these new fields of study, and they need similar tools to help them.

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How to get started with machine learning and AI - Ars Technica

When you picture a hospital radiologist, you might think of a specialist who sits in a dark room and spends hours poring over X-rays to make diagnoses. Contrast that with your dentist, who in addition to interpreting X-rays must also perform surgery, manage staff, communicate with patients, and run their business. When dentists analyze X-rays, they do so in bright rooms and on computers that arent specialized for radiology, often with the patient sitting right next to them.

Is it any wonder, then, that dentists given the same X-ray might propose different treatments?

Dentists are doing a great job given all the things they have to deal with, says Wardah Inam SM 13, PhD 16.

Inam is the co-founder of Overjet, a company using artificial intelligence to analyze and annotate X-rays for dentists and insurance providers. Overjet seeks to take the subjectivity out of X-ray interpretations to improve patient care.

Its about moving toward more precision medicine, where we have the right treatments at the right time, says Inam, who co-founded the company with Alexander Jelicich 13. Thats where technology can help. Once we quantify the disease, we can make it very easy to recommend the right treatment.

Overjet has been cleared by the Food and Drug Administration to detect and outline cavities and to quantify bone levels to aid in the diagnosis of periodontal disease, a common but preventable gum infection that causes the jawbone and other tissues supporting the teeth to deteriorate.

In addition to helping dentists detect and treat diseases, Overjets software is also designed to help dentists show patients the problems theyre seeing and explain why theyre recommending certain treatments.

The company has already analyzed tens of millions of X-rays, is used by dental practices nationwide, and is currently working with insurance companies that represent more than 75 million patients in the U.S. Inam is hoping the data Overjet is analyzing can be used to further streamline operations while improving care for patients.

Our mission at Overjet is to improve oral health by creating a future that is clinically precise, efficient, and patient-centric, says Inam.

Its been a whirlwind journey for Inam, who knew nothing about the dental industry until a bad experience piqued her interest in 2018.

Getting to the root of the problem

Inam came to MIT in 2010, first for her masters and then her PhD in electrical engineering and computer science, and says she caught the bug for entrepreneurship early on.

For me, MIT was a sandbox where you could learn different things and find out what you like and what you don't like, Inam says. Plus, if you are curious about a problem, you can really dive into it.

While taking entrepreneurship classes at the Sloan School of Management, Inam eventually started a number of new ventures with classmates.

I didn't know I wanted to start a company when I came to MIT, Inam says. I knew I wanted to solve important problems. I went through this journey of deciding between academia and industry, but I like to see things happen faster and I like to make an impact in my lifetime, and that's what drew me to entrepreneurship.

During her postdoc in the Computer Science and Artificial Intelligence Laboratory (CSAIL), Inam and a group of researchers applied machine learning to wireless signals to create biomedical sensors that could track a persons movements, detect falls, and monitor respiratory rate.

She didnt get interested in dentistry until after leaving MIT, when she changed dentists and received an entirely new treatment plan. Confused by the change, she asked for her X-rays and asked other dentists to have a look, only to receive still another variation in diagnosis and treatment recommendations.

At that point, Inam decided to dive into dentistry for herself, reading books on the subject, watching YouTube videos, and eventually interviewing dentists. Before she knew it, she was spending more time learning about dentistry than she was at her job.

The same week Inam quit her job, she learned about MITs Hacking Medicine competition and decided to participate. Thats where she started building her team and getting connections. Overjets first funding came from the Media Lab-affiliated investment group the E14 Fund.

The E14 fund wrote the first check, and I don't think we would've existed if it wasn't for them taking a chance on us, she says.

Inam learned that a big reason for variation in treatment recommendations among dentists is the sheer number of potential treatment options for each disease. A cavity, for instance, can be treated with a filling, a crown, a root canal, a bridge, and more.

When it comes to periodontal disease, dentists must make millimeter-level assessments to determine disease severity and progression. The extent and progression of the disease determines the best treatment.

I felt technology could play a big role in not only enhancing the diagnosis but also to communicate with the patients more effectively so they understand and don't have to go through the confusing process I did of wondering who's right, Inam says.

Overjet began as a tool to help insurance companies streamline dental claims before the company began integrating its tool directly into dentists offices. Every day, some of the largest dental organizations nationwide are using Overjet, including Guardian Insurance, Delta Dental, Dental Care Alliance, and Jefferson Dental and Orthodontics.

Today, as a dental X-ray is imported into a computer, Overjets software analyzes and annotates the images automatically. By the time the image appears on the computer screen, it has information on the type of X-ray taken, how a tooth may be impacted, the exact level of bone loss with color overlays, the location and severity of cavities, and more.

The analysis gives dentists more information to talk to patients about treatment options.

Now the dentist or hygienist just has to synthesize that information, and they use the software to communicate with you, Inam says. So, they'll show you the X-rays with Overjet's annotations and say, 'You have 4 millimeters of bone loss, it's in red, that's higher than the 3 millimeters you had last time you came, so I'm recommending this treatment.

Overjet also incorporates historical information about each patient, tracking bone loss on every tooth and helping dentists detect cases where disease is progressing more quickly.

Weve seen cases where a cancer patient with dry mouth goes from nothing to something extremely bad in six months between visits, so those patients should probably come to the dentist more often, Inam says. Its all about using data to change how we practice care, think about plans, and offer services to different types of patients.

The operating system of dentistry

Overjets FDA clearances account for two highly prevalent diseases. They also put the company in a position to conduct industry-level analysis and help dental practices compare themselves to peers.

We use the same tech to help practices understand clinical performance and improve operations, Inam says. We can look at every patient at every practice and identify how practices can use the software to improve the care they're providing.

Moving forward, Inam sees Overjet playing an integral role in virtually every aspect of dental operations.

These radiographs have been digitized for a while, but they've never been utilized because the computers couldn't read them, Inam says. Overjet is turning unstructured data into data that we can analyze. Right now, we're building the basic infrastructure. Eventually we want to grow the platform to improve any service the practice can provide, basically becoming the operating system of the practice to help providers do their job more effectively.

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Taking the guesswork out of dental care with artificial intelligence - MIT News

Reid Simmons, a research professor at Carnegie Mellon University, just finished another season of commencements. Over a career spanning more than 30 years, Simmons has seen plenty of students reach that milestone, but the newest crop of graduates is special because theyre like penguins, he said.

The late Randy Pausch used the analogy in describing flightless birds which waddle off to the edge of the ice and they see the water, and they don't know what's in there, Simmons recounted. There could be a lot of fish or there could be predators, and it takes one adventuresome penguin to jump in first.

The students who just graduated particularly those who majored in artificial intelligence are like the penguins because when they chose their course of study, AI was a brand-new major, said Simmons, director of CMUs AI major. Four years ago there was some uncertainty about whether these 39 students would get particular jobs or coveted slots in graduate schools, but thankfully it worked out, Simmons continued. They're the pioneers, and there's a lot to congratulate them for.

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The research professor and Jewish blogger spoke with the Chronicle shortly after commencement but didnt spend much time looking back. Instead, he described the future both as it pertains to AI and the students who study the field.

Thanks to movies like The Terminator, AI has long captivated human interest. Weeks ago, the subject got new attention when a Google engineer told The Washington Post that the companys AI is sentient.

Media reports and Hollywood blockbusters spur interest in the field but dont do a good job explaining the future of technology, Simmons said. These stories make great television or movies, but theyre really very far from reality.

As opposed to focusing on robots taking over the world, the bigger concern is when people using AI technologies do bad things to other people, Simmons said. Any technology can be used for good or bad; whats critical, though, is that people understand the difference and are not complicit in developing a technology that can be used for bad purposes.

For Simmons, a Squirrel Hill resident who maintains a kosher cooking blog, Judaism is a helpful reminder in how to address certain matters related to AI.

One of the main issues in terms of AI is that if you feed it biased data it produces biased results, and it could be discriminatory results, he said. Judaism teaches a respect and love for all people, and I think that this is a very important thing that we need to be aware of that the technologies that we're developing are not just going to be used for educated people who are developing the technologies, but they need to be used, and not discriminatorily, for all people, respecting their autonomy, respecting their privacy.

Reid Simmons will direct the new artificial intelligence major at Carnegie Mellon University. (Photo courtesy of Reid Simmons)

There are instances in which bad actors take advantage of technological advances, but there are also times when people dont give enough attention to the products and materials being developed. For example, Simmons said, early on in the development of face-detection technology there were difficulties recognizing African American faces.

One of the main reasons why, according to Simmons, was because the majority of the training was performed on mostly white faces.

This goes back to the idea that if one feeds AI biased data then biased results will be produced, he explained.

When early face-detection software failed to recognize African American faces it wasnt an evil plot to discriminate against Blacks, Simmons said. It was a lack of understanding about the diversity of training data that was needed in order to get the nondiscriminatory result.

Simmons hopes future collaborations between ethicists and engineers yield better outcomes and pointed to a project supported by the National Science Foundation studying how AI can help older adults and their caregivers.

The project, which is headed by Georgia Tech, is a five-year endeavor looking at how we can help people particularly with mild cognitive impairment live independently in their own homes by providing guidance by detecting changes in their behavior, he said.

The hope is that CMU and other participating universities can develop fundamental technologies and commercializable products that help determine when a physician or caregiver may be needed, Simmons said.

As the project unfolds, engineers and ethicists are working together to understand some of the underlying issues. Because the goal, Simmons said, is that the technologies are designed so people will be able to use them and use them in the correct ways.

Whether its helping people with cognitive impairment remain in their homes or autonomously drive patients to their doctor, AI has the potential to be a tremendous benefit to people, Simmons said. This is something that I think that we should embrace because it's going to radically change our lives for the better.

And yes, theres a lot of fear out there about what AI is capable of, but this isnt something people should be concerned about. The important thing is to make sure that the engineers who are developing and deploying this technology understand the ethical issues that underlie the technology, Simmons said. If they do, I think that there's a tremendous amount of good that this technology can bring people. PJC

Adam Reinherz can be reached at areinherz@pittsburghjewishchronicle.org.

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The future of artificial intelligence according to CMU professor Reid Simmons - thejewishchronicle.net