Dr. Ahmed Ghazi, a urologist and director of the simulation innovation lab at the University of Rochester (N.Y.) Medical Center, once thought autonomous robotic surgery wasnt possible. He changed his mind after seeing a research group successfully complete a running suture on one of his labs tissue models with an autonomous robot.

It was surprisingly preciseand impressive, Ghazi said. But whats missing from the autonomous robot is the judgment, he said. Every single patient, when you look inside to do the same surgery, is very different. Ghazi suggested thinking about autonomous surgical procedures like an airplane on autopilot: the pilots still there. The future of autonomous surgery is there, but it has to be guided by the surgeon, he said.

Its also a matter of ensuring AI surgical systems are trained on high-quality and representative data, experts say. Before implementing any AI product, providers need to understand what data the program was trained on and what data it considers to make its decisions, said Dr. Andrew Furman, executive director of clinical excellence at ECRI. What data were input for the software or product to make a particular decision must also be weighed, and are those inputs comparable to other populations? he said.

To create a model capable of making surgical decisions, developers need to train it on thousands of previous surgical cases. That could be a long-term outcome of using AI to analyze video recordings of surgical procedures, said Dr. Tamir Wolf, co-founder and CEO of Theator, another company that does just that.

While the companys current product is designed to help surgeons prepare for a procedure and review their performance, its vision is to use insights from that data to underpin real-time decision support and, eventually, autonomous surgical systems.

UC San Diego Health is using a video-analysis tool developed by Digital Surgery, an AI and analytics company Medtronic acquired earlier this year. The acquisition is part of Medtronics strategy to bolster its AI capabilities, said Megan Rosengarten, vice president and general manager of surgical robotics at Medtronic.

Theres a lot of places where were going to build upon that, Rosengarten said. She described a likely evolution from AI providing recommendations for nonclinical workflows, to offering intra-operative clinical decision support, to automating aspects of nonclinical tasks, and possibly to automating aspects of clinical tasks.

Autonomous surgical robots arent a specific end goal Medtronic is aiming for, she said, though the companys current work could serve as building blocks for automation.

Intuitive Surgical, creator of the da Vinci system, isnt actively looking to develop autonomous robotic systems, according to Brian Miller, the companys senior vice president and general manager for systems, imaging and digital.Its AI products so far use the technology to create 3D visualizations from images and extract insights from how surgeons interact with the companys equipment.

To develop an automated robotic product, it would have to solve a real problem identified by customers, Miller said, which he hasnt seen. Were looking to augment what the surgeon or what the users can do, he said.

See original here:
Artificial intelligence gets real in the OR - Modern Healthcare

The General Services Administration will assist agencies in identifying technology partners and facilitate contracts.

The Trump administration had made deregulation a key priority, while critics say the administration has failed to ensure adequate regulatory safeguards.

WASHINGTON The White House Office of Management and Budget said Friday that federal agencies will use artificial intelligence to eliminate outdated, obsolete, and inconsistent requirements across tens of thousands of pages of government regulations. A 2019 pilot project used machine learning algorithms and natural language processing at the Department of Health and Human Services. The test run found hundreds of technical errors and outdated requirements in agency rulebooks, including requests to submit materials by fax.

OMB said all federal agencies are being encouraged to update regulations using AI and several agencies have already agreed to do so.

Over the last four years, the number of pages in the Code of Federal Regulations has remained at about 185,000.

White House OMB director Russell Vought said the AI effort would help agencies update a regulatory code marked by decades of neglect and lack of reform.

Under the initiative agencies will use AI technology and other software to comb through thousands and thousands of regulatory code pages to look for places where code can be updated, reconciled, and general scrubbed of technical mistakes, the White House said.

Participating agencies include the Transportation Department, the Agriculture Department, the Labor Department and the Interior Department.

The General Services Administration will assist agencies in identifying technology partners and facilitate contracts.

The Trump administration had made deregulation a key priority, while critics say the administration has failed to ensure adequate regulatory safeguards.

Read the original post:
U.S. government agencies to use artificial intelligence to identify and eliminate outdated regulations - STLtoday.com

While the U.S. has lacked central organizing of its AI, it has an advantage in its flexible tech industry, said Nand Mulchandani, the acting director of the U.S. Department of Defense Joint Artificial Intelligence Center. Mulchandani is skeptical of Chinas efforts at civil-military fusion, saying that governments are rarely able to direct early stage technology development.

Tensions over how to accelerate AI are driven by the prospect of a tech cold war between the U.S. and China, amid improving Chinese innovation and access to both capital and top foreign researchers. Theyve learned by studying our playbook, said Elsa B. Kania of the Center for a New American Security.

Many commentators in Washington and Beijing have accepted the fact that we are in a new type of Cold War, said Ulrik Vestergaard Knudsen, deputy secretary general of Organization for Economic Cooperation and Development (OECD), which is leading efforts to develop global AI cooperation. But he argued that we should not abandon hope of joining forces globally. Leading democracies want to keep the door open: Ami Appelbaum, chairman of Israels innovation authority, said we have to work globally and we have to work jointly. I wish also the Chinese and the Russians would join us. Eric Schmidt said coalitions and cooperation would be needed, but to beat China rather than to include them. "China is simply too big," he said. "There are too many smart people for us to do this on our own."

The invasive nature and the scale of many AI technologies mean that companies could be hindered in growing civilian markets, and the public could be skeptical of national security efforts, in the absence of clear frameworks for protecting privacy and other rights at home and abroad.

A Global Partnership on AI (GPAI), started by leaders of the Group of Seven (G7) countries and now managed by the OECD, has grown to include 13 countries including India. The U.S. is coordinating an AI Partnership for Defense, also among 13 democracies, while the OECD published a set of AI Principles in 2019 supported by 43 governments.

Knudsen said that it is important for AI global cooperation to move cautiously. Multilateralism and international cooperation are under strain, he said, making a global agreement on AI ethics difficult. But if you start with soft law, if you start with principles and let civil society and academics join the discussion, it is actually possible to reach consensus, he said.

Data and cultural dividing lines

Major divisions exist over how to handle data generated by AI processes. In Europe, we say that its the individual that owns the data. In China, its the state or the party. And then theres a divide in the rest of the world, said Knudsen. There is a right to privacy that accrues to everyone, according to Courtney Bowman, director of privacy and civil liberties engineering at data-mining and surveillance company Palantir Technologies. But we have to recognize that privacy does have a cultural dimension. There are different flavors, he said.

Most experts agree there is the scope to regulate how data is used in AI. Palantirs Bowman says that AI success isnt about unhindered access to the biggest datasets. To build competent, capable AI its not just a matter of pure data accumulation, of volume. It comes down to responsible practices that actually align very closely with good data science, he said.

The countries that get the best data sets will develop the best AI: no doubt about it, said Nand Mulchandani. But he said that partnerships are the way to get that data. Global partnerships are so incredibly important because they give access to global data, which in aggregate is better than even a huge dataset from within a single country such as China.

How can government boost AI?

Rep. Cathy McMorris Rodgers (R - WA) , a leading Republican voice on technology issues, wants the U.S. government to create a foundation for trust in domestic AI via measures such as a national privacy standard. We need to be putting some protections in place that are pro-consumer so that there will be trust, in pro-American technology, she said.

U.S. Rep. Pramila Jayapal (R-Wa.) wants both government regulation and private sector standards while AI technologies particularly facial recognition are still young. The thing about technology is, once it's out of the bottle, it's out of the bottle, she said. You can't really bring back the rights of [Michigan resident Robert Williams who was arrested based on a faulty ID by facial recognition software], or the rights of Uighurs in China, who are bearing the brunt of this discriminatory use of facial recognition technology. Some experts argue that while regulation is needed, it must be sector-specific, because AI is not a single concept, but a family of technologies, with each requiring a different regulatory approach.

Government has a role in making data widely available for the development of AI, so that smaller companies have a fair opportunity to research and innovate, said Charles Romine, Director of the Information Technology Laboratory (ITL) within the National Institute of Standards and Technology (NIST).

On the question of government AI funding, Elsa Kania said that its not possible to make direct comparisons between U.S. and Chinese government investments. The U.S. has more venture capital, for example, while eye-popping investment figures from Chinas central government dont mean an awful lot if they arent matched by investments in talent and education, she said. We shouldnt be trying to match China dollar-for-dollar if we can be investing smarter.

Link:
Artificial Intelligence Cold War on the horizon - POLITICO

As connected devices proliferate, new ways of processing have come to the fore to accommodate device and data explosion.

For years, organizations have moved toward centralized, off-site processing architecture in the cloud and away from on-premises data centers. Cloud computing enabled startups to innovate and expand their businesses without requiring huge capital outlays on data center infrastructure or ongoing costs for IT management. It enabled large organizations to scale quickly and stay agile by using on-demand resources.

But as enterprises move toward more remote models, video-intensive communications and other processes, they need an edge computing architecture to accommodate data-hogging tasks.

These data-intensive processes need to happen within fractions of a second: Think self-driving cars, video streaming or tracking shipping trucks in real time on their route. Sending data on a round trip to the cloud and back to the device takes too much time. It can also add cost and compromise data in transit.

Customers realize they dont want to pass a lot of processing up to the cloud, so theyre thinking the edge is the real target, according to Markus Levy, head of AI technologies at NXP Semiconductors, in a piece on therise of embedded AI.

In recent years, edge computing architecture has moved to the fore, to accommodate the proliferation of data and devices as well as the velocity at which this data is moving.

To read the complete article, visit IoT World Today.

Continue reading here:
IoT trends continue to push processing to the edge for artificial intelligence (AI) - Urgent Communications

By Shayne Looper

In September, the British news website "The Guardian" published a story written entirely by an AI an artificial intelligence that "learned" how to write from scanning the Internet. The piece received a lot of press because in it the AI stated it had no plans to destroy humanity. It did, however, admit that it could be programmed in a way that might prove destructive.

The AI is not beyond making mistakes. I noted its erroneous claim that the word "robot" derives from Greek. An AI that is mistaken about where a word comes from might also be mistaken about where humanity is headed. Or it might be lying. Not a pleasant thought.

Artificial Intelligence is based on the idea that computer programs can "learn" and "grow." No less an authority than Stephen Hawking has warned that AI, unbounded by the slow pace of biological development, might quickly supersede its human developers.

Other scientists are more optimistic, believing that AI may provide solutions to many of humanitys age-old problems, including disease and famine. Of course, the destruction of biological life would be one solution to disease and famine.

Hawking worried that a "growing" and "learning" computer program might eventually destroy the world. I doubt it ever occurred to Hawking that his fears regarding AI could once have been expressed toward BI biological intelligence; that is, humans at their creation.

Did non-human life forms, like those the Bible refers to as "angels," foresee the dangerous possibilities presented by the human capacity to "grow" and "learn"? Might not the angel Gabriel, like the scientist Hawking, have warned of impending doom?

AI designers are not blazing a trail but following one blazed by God himself. For example, their creations are made, as was Gods, in their own image. And, like Gods creation, theirs is designed to transcend its original specs. There is, however, this difference: AI designers do not know how to introduce a will into their creations.

The capacity for growth, designed into humankind from the first, is seldom given the consideration it deserves. For one thing, it implies the Creators enormous self-confidence. God, unlike humans, is not threatened by the growth of his creation. In fact, he delights in it. He does not need to worry about protecting himself.

That the Creator wants his creatures to grow is good news, for it means God is a parent. That is what parents are like. They long for their children to become great and good. No wonder Jesus taught his followers to call God "Father."

Given that God created such beings knowing what could and if theologians are correct, what would go wrong, he must have considered the outcome of creation to be so magnificent and good as to merit present pain and suffering. When people fault God for current evil, they do so without comprehending future good.

The present only makes sense in the light of the future, and the future only offers hope if we will become more and better than we currently are. Outside of the context of a magnificent future, present injustices, sorrows, and suffering appear overwhelming.

The hope presented in the Bible is audacious. It is unparalleled and unrivaled. The Marxist hopes for a better world. The Christian hopes for a perfect one: a new heaven and new earth, where everything is right and everyone exists in glory. The hope of the most enthusiastic Marxist fades before this shining hope the way a candle fades before the noonday sun.

This hope is not just that human pains will be forgotten, swallowed up in bliss. It is not just that shame will be buried when we die and left in the grave when we rise. Christian hope is not just that evil and injustice will be destroyed. It is that when God is all and is in all, we will be more than we have ever been.

The long story of weapons and wars, of marriages broken, and innocence stolen turns out to be different than we thought and better than we dreamed. It is the introduction to a story of astounding goodness, displayed in our creation, redemption, and glorious future.

Shayne Looper is the pastor of Lockwood Community Church in Branch County. Read more at shaynelooper.com.

View original post here:
Artificial intelligence, humanity, and the future - Sault Ste. Marie Evening News

Columns share an authors personal perspective.

*****

In September, the British news website The Guardian published a story written entirely by an AI - an artificial intelligence - that learned how to write from scanning the internet. The piece received a lot of press because in it the AI stated it had no plans to destroy humanity. It did, however, admit that it could be programmed in a way that might prove destructive.

The AI is not beyond making mistakes. I noted its erroneous claim that the word robot derives from Greek. An AI that is mistaken about where a word comes from might also be mistaken about where humanity is headed. Or it might be lying. Not a pleasant thought.

Artificial intelligence is based on the idea that computer programs can learn and grow. No less an authority than Stephen Hawking has warned that AI, unbounded by the slow pace of biological development, might quickly supersede its human developers.

Other scientists are more optimistic, believing that AI may provide solutions to many of humanitys age-old problems, including disease and famine. Of course, the destruction of biological life would be one solution to disease and famine.

Hawking worried that a growing and learning computer program might eventually destroy the world. I doubt it ever occurred to Hawking that his fears regarding AI could once have been expressed toward BI - biological intelligence; that is, humans - at their creation.

Did nonhuman life forms, like those the Bible refers to as angels, foresee the dangerous possibilities presented by the human capacity to grow and learn? Might not the angel Gabriel, like the scientist Hawking, have warned of impending doom?

AI designers are not blazing a trail but following one blazed by God himself. For example, their creations are made, as was Gods, in their own image. And, like Gods creation, theirs is designed to transcend its original specs. There is, however, this difference: AI designers do not know how to introduce a will into their creations.

The capacity for growth, designed into humankind from the first, is seldom given the consideration it deserves. For one thing, it implies the Creators enormous self-confidence. God, unlike humans, is not threatened by the growth of his creation. In fact, he delights in it. He does not need to worry about protecting himself.

That the Creator wants his creatures to grow is good news, for it means God is a parent. That is what parents are like. They long for their children to become great and good. No wonder Jesus taught his followers to call God Father.

Given that God created such beings knowing what could - and if theologians are correct, what would - go wrong, he must have considered the outcome of creation to be so magnificent and good as to merit present pain and suffering. When people fault God for current evil, they do so without comprehending future good.

The present only makes sense in the light of the future, and the future only offers hope if we will become more and better than we currently are. Outside of the context of a magnificent future, present injustices, sorrows and suffering appear overwhelming.

The hope presented in the Bible is audacious. It is unparalleled and unrivaled. The Marxist hopes for a better world. The Christian hopes for a perfect one: a new heaven and new earth, where everything is right and everyone exists in glory. The hope of the most enthusiastic Marxist fades before this shining hope the way a candle fades before the noonday sun.

This hope is not just that human pains will be forgotten, swallowed up in bliss. It is not just that shame will be buried when we die and left in the grave when we rise. Christian hope is not just that evil and injustice will be destroyed. It is that when God is all and is in all, we will be more than we have ever been.

The long story of weapons and wars, of marriages broken, and innocence stolen turns out to be different than we thought and better than we dreamed. It is the introduction to a story of astounding goodness, displayed in our creation, redemption, and glorious future.

Shayne Looper is the pastor of Lockwood Community Church in Coldwater, Michigan. His blog, The Way Home, is at shaynelooper.com.

Read more from the original source:
Looper column: Artificial intelligence, humanity and the future - SouthCoastToday.com

LYON, FRANCE (October 15, 2020) Boll is launching the most technologically advanced high contrast lens in the marketplace with the introduction of Volt +, the industrys first lens ever developed using Artificial Intelligence.

The goal in developing the Volt + was to create a lens that provided high contrast and enhanced all colors to improve depth perception without compromising white balance. In the past, high contrast lenses enhanced one color while diminishing other colors. The Volt + enhances all colors, offering the most complete high contrast lens that improves depth perception.

Using AI, Boll was able to evaluate 20 million different lens formula combinations to settle on an incomparable color experience that sets a new standard against which all other lenses will be measured.

The Volt + lens is the latest innovation to come out EPIC, Bolls new state-of-the-art design and technology innovation lab based in Lyon, France. The lens technology will be included throughout Bolles line of sport specific sunglasses for the Spring 2021 season.

Weve set high standards to be the innovation and technology leader in the development and creation of sports performance eyewear and helmets, said Tove Fritzell, Boll Director of Product & Innovation Our EPIC design center located at the foot of the Alps continues to deliver amazing results to harness the most advanced technology with the needs of athletes who have an opportunity to sample and provide feedback at the foot of the worlds biggest playground.

In developing Volt +, Boll used AI to find out which wavelengths to enhance or dampen, to design and develop the chemical compound (pigments) that will absorb the right wavelengths and to then put together the perfect blend of pigments for the transition curve.

Boll is a leader in sport and lifestyle sunglasses, cycling helmets, ski goggles, and ski helmets. For more information, visit http://www.Boll.com. Boll is part of Boll Brands which encompasses the brands Boll, Boll Safety, Cb, Serengeti, Spy and H2Optics. Thanks to the complementary know-hows and innovative technologies developed by the six brands in their respective fields of activities, Boll Brands expertise covers a large spectrum of products that meet the highest requirements in terms of protection, performance, innovation and style.

See the article here:
Boll Turns to Artificial Intelligence to Develop the Most Advanced High Contrast Lens Ever Introduced - SNEWS

The use of artificial intelligence (AI) on ranches and dairy farms represents tremendous potential to benefit the Florida cattle industry. Thats driving a discussion at the University of Floridas Institute of Food and Agricultural Sciences about how to harness this potential with tools that gives ranchers insight on each animal in their herds.

Producers may already get more data from sensors and other technologies than any human mind can make sense of. AI can link and analyze all sorts of data that exist in separate silos. UF/IFAS animal scientists working with computer scientists and engineers could reveal relationships between data points that inform decisions down to the individual animal.

Imagine if we could link an individual cows feed efficiency to its unique genetics as we select animals for breeding. Imagine if we could identify the point for each animal on a ranch at which heat stress makes it ill.

Imagine, too, if we could tell by how many steps it takes and how its posture changes day-to-day if a cow is developing sore feet. Imagine the advances in milk production and animal welfare if we could predict and prevent illness by subtle behavioral changes like how often a cow shows up at the feed bucket.

Albert De Vries of the UF/IFAS Department of Animal Sciences is already using a form of AI called machine learning to determine with precision how to better breed cattle. He is also exploring using AI to measure how much a cow eats by analyzing changes in the topography of the grain in the trough.

As an editor of a prestigious international journal, De Vries has familiarized himself with a range of AI applications in cattle and dairy. He believes UF/IFAS needs to go more assertively into this line of inquiry.

The University of Florida took a major step toward unlocking the potential of this game-changing technology when it announced in July a $70 million campus-wide AI initiative.

The announcement specifically mentioned the challenge of food insecurity as one of many possible areas to direct AI-fueled science. AI will become part of the curriculum at the UF/IFAS College of Agricultural and Life Sciences and throughout campus so that our students take some level of knowledge and skills related to AI into their jobs.

The initiative is supported by a $25 million gift from UF alumnus Chris Malachowsky and $25 million from NVIDIA, the technology company he cofounded. UF is investing an additional $20 million in the initiative, which will create an AI-centric data center that houses the worlds fastest AI supercomputer in higher education.

UF/IFAS will be proposing to university administration how an investment of a substantial portion of these funds in agriculture can result in huge payoffs.

All this isnt going to replace the intuition and responsible management practices ranchers develop from years of experience. AI, though, is one way UF/IFAS is likely to help the Florida cattle industry in the decade to come.

Scott AngleUniversity of Floridas VPAgriculture and Natural Resources

Go here to read the rest:
Will artificial intelligence technology change the dairy industry - positivelyosceola.com

Facebook and Carnegie Mellon University have announced they are trying to use artificial intelligence (AI) to find new "electrocatalysts" that can help to store electricity generated by renewable energy sources.

Electrocatalysts can be used to convert excess solar and wind power into other fuels, such as hydrogen and ethanol, that are easier to store. However, today's electrocatalysts are rare and expensive, with platinum being a good example, and finding new ones hasn't been easy as there are billions of ways that elements can be combined to make them.

Researchers in the catalysis community can currently test tens of thousands of potential catalysts a year but Facebook and Carniegie Mellon believe they can increase the number to millions, or even billions, of catalysts with the help of AI.

The social media giant and the university on Wednesday released some of their own AI software "models" that can help to find new catalysts but they want other scientists to have a go as well.

To support these scientists, Facebook and Carnegie Mellon have released a data set with information on potential catalysts that scientists can use to create new pieces of software.

Facebook said the "Open Catalyst 2020" data set required 70 million hours of compute time to produce. The data set includes "relaxation" calculations for a million possible catalysts as well as supplemental calculations.

Relaxations, a widely used measurement in catalysis, are calculated to see if a particular combination of elements will make a good catalyst.

Each relaxation calculation, which simulates how atoms from different elements will interact, takes scientists around eight hours on average to work out, but Facebook says AI software can potentially do the same calculations in under a second.

If you study catalysis, "that's going to dramatically change how you do your work and how you do your research," said Larry Zitnick, a research scientist at Facebook AI Research, on a call ahead of the announcement.

In recent years, tech giants like Facebook and Google have attempted to use AI to speed up scientific calculations and observations across multiple fields.

For example, DeepMind, an AI-lab owned by Google parent Alphabet, developed AI software capable of spotting tumors in mammograms faster and more accurately than human researchers.

Read the original post:
Facebook to use artificial intelligence in bid to improve renewable energy storage - CNBC

AUSTIN, Texas, Oct. 12, 2020 /PRNewswire/ --SparkCognition, the world's leading industrial artificial intelligence (AI) company, is pleased to announce significant progress in its efforts to develop state of the art AI algorithms and systems, through the award of a substantial number of new patents. Since January 1, 2020, SparkCognition has filed 29 new patents, expanding the company's intellectual property portfolio to 27 awarded patents and 58 pending applications.

"Since SparkCognition's inception, we have placed a major emphasis on advancing the science of AI through research making advancement through innovation a core company value," said Amir Husain, founder and CEO of SparkCognition, and a prolific inventor with over 30 patents. "At SparkCognition, we've built one of the leading Industrial AI research teams in the world. The discoveries made and the new paths blazed by our incredibly talented researchers and scientists will be essential to the future."

SparkCognition's patents have come from inventors in different teams across the organization, and display commercial significance and scientific achievements in autonomy, automated model building, anomaly detection, natural language processing, industrial applications, and foundations of artificial intelligence. A select few include surrogate-assisted neuroevolution, unsupervised model building for clustering and anomaly detection, unmanned systems hubs for dispatch of unmanned vehicles, and feature importance estimation for unsupervised learning. These accomplishments have been incorporated into SparkCognition's products and solutions, and many have been published in peer-reviewed academic venues in order to contribute to the scientific community's shared body of knowledge.

In June 2019, AI research stalwart and two-time Chair of the University of Texas Computer Science Department, Professor Bruce Porter, joined SparkCognition full time as Chief Science Officer, at which time he launched the company's internal AI research organization. This team includes internal researchers, additional talent from a rotation of SparkCognition employees, and faculty from Southwestern University, the University of Texas at Austin, and the University of Colorado at Colorado Springs. The organization works to produce scientific accomplishments such as: the patents and publications listed above, advancing the science of AI, and supporting SparkCognition's position as an industry leader.

"Over the past two years, we've averaged an AI patent submission nearly every two weeks. This is no small feat for a young company," said Prof. Bruce Porter. "The sheer number of intelligent, science-minded people at SparkCognition keeps the spirit of innovation alive throughout the research organization and the entire company. I'm excited about what this team will continue to achieve going forward, and eagerly awaiting the great discoveries we will make."

To learn more about SparkCognition, visit http://www.sparkcognition.com.

About SparkCognitionWith award-winning machine learning technology, a multinational footprint, and expert teams, SparkCognition builds artificial intelligence systems to advance the most important interests of society. Our customers are trusted with protecting and advancing lives, infrastructure, and financial systems across the globe. They turn to SparkCognition to help them analyze complex data, empower decision-making, and transform human and industrial productivity. SparkCognition offers four main products: DarwinTM, DeepArmor, SparkPredict, and DeepNLPTM. With our leading-edge artificial intelligence platforms, our clients can adapt to a rapidly changing digital landscape and accelerate their business strategies. Learn more about SparkCognition's AI applications and why we've been featured in CNBC's 2017 Disruptor 50, and recognized four years in a row on CB Insights AI 100, by visiting http://www.sparkcognition.com.

For Media Inquiries:

Michelle SaabSparkCognitionVP, Marketing Communications[emailprotected]512-956-5491

SOURCE SparkCognition

http://www.sparkcognition.com

The rest is here:
SparkCognition Advances the Science of Artificial Intelligence with 85 Patents - PRNewswire