On April 8, 2020, the Federal Trade Commission (FTC) published a blog post titled, Using Artificial Intelligence and Algorithms, that offers important lessons about the use of AI and algorithms in automated decision-making. The post begins by noting that headlines today tout rapid improvements in AI technology, and the use of more advanced AI has enormous potential to improve welfare and productivity. But more sophisticated AI also presents risks, such as the potential for unfair or discriminatory outcomes. This tension between benefits and risks is a particular concern in Health AI, and the tension will continue as AI technologies are deployed to tackle the current COVID-19 crisis.

The FTC post reminds companies that, while the sophistication of AI is new, automated decision-making is not, and the FTC has a long history of dealing with the challenges presented by the use of data and algorithms to make decisions about consumers.

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Coronavirus Update: Recent FTC Guidance on the Use of Artificial Intelligence and Algorithms in the Age of COVID-19 - Government Contracts Legal Forum

Pune, May 25, 2020 (GLOBE NEWSWIRE) -- The global AI market is set to gain momentum from the rising utilization of cloud-based services and applications worldwide. Also, the increasing adoption of connected devices would impact the market positively in the coming years. This information is published by Fortune Business Insights in a recent report, titled, Artificial Intelligence (AI) Market Size, Share and Industry Analysis By Component (Hardware, Software, Services), By Technology (Computer Vision, Machine Learning, Natural Language Processing, Others), By Industry Vertical (BFSI, Healthcare, Manufacturing, Retail, IT & Telecom, Government, Others) and Regional Forecast, 2019-2026. The report further states that the global AI market size stood at USD 20.67 billion in 2018 and is projected to reach USD 202.57 billion by 2026, thereby exhibiting a CAGR of 33.1% during the forecast period.

Highlights of This Report:

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An Overview of the Impact of COVID-19 on this Market:

The emergence of COVID-19 has brought the world to a standstill. We understand that this health crisis has brought an unprecedented impact on businesses across industries. However, this too shall pass. Rising support from governments and several companies can help in the fight against this highly contagious disease. There are some industries that are struggling and some are thriving. Overall, almost every sector is anticipated to be impacted by the pandemic.

We are taking continuous efforts to help your business sustain and grow during COVID-19 pandemics. Based on our experience and expertise, we will offer you an impact analysis of coronavirus outbreak across industries to help you prepare for the future.

Click here to get the short-term and long-term impact of COVID-19 on this Market.

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Drivers & Restraints-

Rising Demand for Industrial Robots to Propel Growth

The rising demand for customized robots is a vital driver of the AI market growth. Numerous reputed organizations in the developed nations are presently engaging in the development and supply of industrial robots equipped with the AI technology. Japan and South Korea, for instance, supplied approximately 38,600 and 41,400 units of industrial robots in 2016, respectively. Also, in the same year, China provided almost 87,000 units across the globe. Apart from that, AI technology is mainly required in the retail sector for enhancing customer service. Coupled with this, the increasing usage of machine learning (M2P and M2M) would contribute to the market growth. However, the rising concerns regarding the unreliability of AI algorithms and data privacy may hamper the market growth.

Segment-

Natural Language Processing Segment to Dominate Owing to Its Usage in Various Applications

In terms of technology, the market is segregated into natural language processing, machine learning, computer vision, and others. Amongst these, the computer vision segment held 22.5% AI market share in 2018. This system helps in identifying and detecting patterns. It also synthesizes, analyses, and acquires realistic interactive interfaces. Then, it utilizes the ID tags to showcase pictures of associated items. The natural language processing segment currently accounts of the maximum share as it is adopted for a wide range of applications, such as Informational Retrieval (IR), speech processing, semantic disambiguation, text parsing, and machine translation.

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Regional Analysis-

Rising Adoption of AI by Biopharma Companies to Favor Growth in Asia Pacific

In 2018, North America procured USD 9.72 billion revenue and is set to remain in the leading position throughout the forecast period. This growth is attributable to the ongoing technological advancements in the fields of natural language processing, machine learning, and analytical tools. Besides, the rising awareness programs regarding the benefits of AI tools and systems would propel growth in this region. Asia Pacific, on the other hand, is expected to grow considerably backed by the major contribution of China. The government of this country is planning to merge with Baidu to support the implementation of AI and develop a deep learning laboratory consisting of military, manufacturing, smart agriculture, and intelligent logistics. Apart from that, AI is being extensively adopted by a large number of biopharma companies in this region. Developed nations, such as Japan are investing hefty amounts of money in creating AI algorithms to analyze large volumes of data.

Competitive Landscape-

Key Players Focus on Launching New Products to Strengthen Position

The market is fragmented with various companies operating across the world. They are mainly focusing on investing huge sums to develop new products. Numerous start-ups are adopting the strategy of mergers and acquisitions. Some of the others are considering the impact of the outbreak of Covid-19 pandemic and are making novel solutions to help people in performing various tasks. Below are a couple of the recent industry developments:

Fortune Business Insights lists out the names of all the AI service providers present in the global market. They are as follows:

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Identity And Access Management Market Size, Share and Industry Analysis By Component (Provisioning, Directory Services, Single Sign-On, Others), By Deployment Model (Cloud, On-Premises), By Enterprise Size (Large Enterprises, Small and Medium Enterprises), By Industry Vertical (BFSI, IT and Telecom, Retail and Consumer Packed Goods, Others) And Regional Forecast 2019-2026

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Artificial Intelligence (AI) Market to Reach USD 202.57 Billion by 2026; Rising Demand for Cloud-based Applications to Aid Growth: Fortune Business...

NEW YORK--(BUSINESS WIRE)--Artificial Intelligence Defense Platform, a technology start-up creating AI technology for a safer, more comfortable future, and its Founder Andy Khawaja prepare to create a sustainable habitat on Mars with AI technology.

AIDP and Andy Khawaja recently announced their pioneer project, ISABELLA, which will be an AI processing system capable of learning, retaining, and performing tasks.

They say ISABELLA will give communities the means to ensure tasks and roles are performed to create more sustainable environments and they plan to apply this to space exploration and the inhabitation of Mars.

This year, according to CNBC, Elon Musk announced his plans to build a sustainable city on Mars where food would be grown on solar-powered, hydroponic farms.

Business Insider said SpaceX hopes to build 1,000 starships in 10 years that will average three trips per day in a brief window that comes every 25 months when the orbits of Earth and Mars align.

There will be a lot of jobs on Mars, Musk said, but Dr. Andy Khawaja and AIDP believe there is a lot of room for artificial intelligence to protect lives.

Dr. Andy Khawaja and AIDP are creating artificial intelligence technology that will help create a sustainable environment on Mars as Elon Musk and SpaceX create the means to get there. The two companies could potentially work in unison.

Creating a sustainable environment on Mars requires quite a bit of creation we need to build houses and buildings, grow plants, create water sources. We need so many roles filled. But why risk jeopardizing human life? With AI technology, we can minimize risks and potential sacrifices to reach the goal, Dr. Andy Khawaja says.

According to Business Insider, SpaceX plans to build a city of 1 million people on Mars by 2050. Elon Musk told Ars Technica, Ill probably be long dead before Mars becomes self-sustaining.

But Artificial Intelligence Defense Platform and Andy Khawaja believe that the vision can be realized sooner with its AI technology and compatible systems/machines.

2.6 million years ago, stone tools were created. In 4000 BC, we created the wheel. In the 19th century, we created the lightbulb - then in the 20th century, we created vehicles, nuclear technology, and the internet. In the 21st century, we created biotech, nanotech, and fusion, Dr. Andy Khawaja said, God created mankind. We are creating AI technology. AI technology will save the future of mankind.

AIDP says they plan to save lives with AI technology. Human equivalent machines will create new opportunities and modern advancements for the world and its population.

About Artificial Intelligence Defense Platform:

Artificial Intelligence Defense Platform is creating new AI technology for compatible systems and machines to build a safer, more sustainable future for mankind. Please visit http://www.ai-dp.com/ for more information.

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AIDP and Andy Khawaja Set Sights on Bringing Artificial Intelligence to Mars - Business Wire

Burn-In, the latest futuristic thriller from P. W. Singer and August Cole, is technically a novel, but dont call it science fiction: None of the technologyand there is a whole lot of technologyis made up. The characters and plot are invented, but the depiction of the DC of the future is based not on imagination but rather on extensive research. Set roughly 20 years from now, the book taps into existing tech, ideas under development, and current research, all meticulously footnoted throughout the text.

Singer, a strategist and senior fellow at New America, is an expert on defense issues, while Cole once covered the defense industry for the Wall Street Journal. (They previously teamed up for Ghost Fleet, a novel about what a war with China might look like.) Their defense credentials and intriguing approach have earned them a surprising collection of Burn-In blurbs, from David Petraeus to Lost co-creator Damon Lindelof to Garry Kasparov. We talked to Singer about how the book came about and what Washington could be like two decades from now.

A good example would be algorithmic bias. It sounds like this wonky, complex topic, but algorithmic bias is essentially when the AI spits out an outcome or takes an action that is biased in some way that it wasnt originally programmed to do. For example, weve seen AI used to screen who should get bank loans, and it was screening out African Americans. The AI was being racist even though no one had told it to be racist. This is an incredibly important concept, but most people are not going to read an academic paper on algorithmic bias. Instead, we illustrate it through scenes like, for example, when an FBI agent is trying to pick a terrorist out of a crowd at Union Station. Its an exciting scene, and yet at the end of it the reader walks away not just entertained but also understanding some of the concepts of algorithmic bias.

Theres a long tradition of people in policy and politics writing a novel as a side enterprise. Some of them are really great, and some of them are not so great. [Laughs] But this is different in that it is actually part of the plan. Its taking that research that youre doing in the policy world and deliberately sharing it through this mix of fiction and nonfiction. Early on, I think there was a little bit of eyebrow raising, but then after the impact of Ghost Fleet, it was inarguable. It wasnt just that people were seeing an influence on policyit opened up a broader discussion of using this [type of book] as a new kind of tool. We call it useful fiction, or the more technical term is FICINT. For people in the government, theyll recognize the terms of SIGINT, signals intelligence, or HUMINT, human intelligence, and these are the tools that spies and analysts use to explain and explore and analyze. What weve put forward is this concept of FICINT, and its taken off.

New America is a different kind of think tankwe very much have a focus on new ideas and lifting up new voices, and weve also made a strong push to explore how to communicate in new, more-effective ways. In a world thats moving at machine speed, where theres so much going on around us thats hard to understand, it can be incredibly useful to have a guide to take you through that world. That is what narrative isits actually the oldest technology of all. But its not just the complexityits simply how much is going on. Important ideas, important research, are competing for attention. To put it bluntly, people are more likely to read an engrossing novel than a think tank white paper or an article in the Journal of the Association of Obscure Studies. [Laughs]

Burn-In has already had policy impact. The Cyberspace Solarium Commission is a Congressionally mandated bipartisan commission to essentially redo all US cybersecurity strategy. When they developed a report on the changes that the US needed to make in its cybersecurity policy, the commissioners were worried that the report would experience the same fate as all those other lengthy commission reports that had been written on terrorism before 9/11 that werent listened to until they were too late. And so in lieu of a traditional beginning to the report, they actually commissioned a short story from us that was drawn from Burn-In. The beginning of the report is actually this story read from the perspective of a congressional staffer who is tasked with writing legislation in the wake of a massive series of cyber attacks that have crippled Washington, DC. So the idea was to drop the commissions target audience into both a public and personal nightmare experience with the idea of inducing them to ponder what they ought to do in order to avoid going through thisright before they then read a series of policy solutions.

Steve Mnuchin said AI is not something that we have to care about for 50 to 100 years. Im sorry, its here now and it will be an issue that we all have to wrestle with. In many ways, were going through an industrial revolution like what happened with the rise of steam engines. But it goes beyond it, because in this case its a tool that is intelligent and that means there is a series of new questions that we all have to wrestle with. Essentially, we need to understand it and we need to prepare for it. Preparing for it is everything from how we make changes in our education system to changes in our law and policy.

Whats notable to me is how it cuts across so many different areas. Take the idea of face recognition. Its an issue for the DC police and federal government and US military but its also an issue for pretty much every business. Kentucky Fried Chicken is talking about applying face recognition! Okay, so what does that mean? What aspects of it are we okay with and what aspects are we not okay with? So I hope the book, by giving people an ability to visualize this future world, equips them better to navigate it as it all becomes real.

One thing I should add is how the pandemic has accelerated everything that was in play. All of the issues of Burn-In were in motion before the pandemic. But all the data shows that theyve been drastically accelerated by it. Our opening scene has a futuristic delivery robot driving down the sidewalk, and that very system has been deployed to deliver groceries in [parts of DC]. Or one of the characters is doing remote work, but at a cost to his marriagesomething a lot of people are dealing with. Much of the population has been thrown into remote learning and remote work to a level that was never anticipated. In other sectors weve been moved forward in a matter of weeks to where we didnt think wed be for ten years. Telemedicine is a good example of that. And were now putting into place plans for AI tracking of society at whole new levels. When we get through the pandemic, one thing that is easy to predict is that were not going 100 percent back. And so that means also that all the tough social, policy, legal, moral, security, and even family issues that our characters experience, theyre also going to come faster in the real world.

Technology is a tool, and every tool has been used for both and good and ill. The very first stone that was picked up was either used to smash up some food or bash someone in the head. Today, drones have been used for war and theyre also being used by human rights organizations to detect and stop war crimes. In Burn-In we play with that duality of these technologies coming. The Washington, DC, of the future will be a smarter cityyoull have smart homes, smart transportation, the internet of things weaving through buildings that range from government headquarters to restaurants and retail. Its going to create a level of convenience and money-saving and energy-saving that is very much out of the most utopian views of science fiction. Its going to be incredible in so many different ways. But, oh, by the way, it will also introduce new vulnerabilities that bad guys might take advantage of to carry out new kinds of crimes. So that duality is always there. Its up to us to determine which path wins out.

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A DC native, Rob Brunner moved back to the city in 2017 to join Washingtonian. Previously, he was an editor and writer at Fast Company and other publications. He has also written for the New York Times Magazine, New York, and Rolling Stone, among others. He lives with his family in Chevy Chase DC.

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These Wonks Study the Dangers of Artificial Intelligence. To Get You to Pay Attention, They Wrote a Thriller. - Washingtonian

This essay is part of The Big Ideas, a special section of The Timess philosophy series, The Stone, in which more than a dozen artist, writers and thinkers answer the question, Why does art still matter? The entire series can be found here.

Many artists are turned off by artificial intelligence. They may be discouraged by fears that A.I., with its efficiency, will take away peoples jobs. They may question the ability of machines to be creative. Or they may have a desire to explore A.I.s uses but arent able to decrypt its terminology.

This all reminds me of when people were similarly skeptical of another technology: the camera. In the 19th century, with the advent of modern photography, cameras introduced both challenges and benefits. While some artists embraced the technology, others saw cameras as alien devices that required expertise to operate. Some felt this posed a threat to their jobs.

But for those artists willing to explore cameras as tools in their work, the aesthetic possibilities of photography proved inspiring. Indeed cameras, which became more accessible to the average user with advancements in technology, offered another technique and form for artistic endeavors like portrait-making.

Art matters because as humans, we all have the ability to be creative. With time, the art we create evolves, and technology plays a crucial role in that process. History has shown that photography, as a novel tool and medium, helped revolutionize the way modern artists create works by expanding the idea of what could be considered art. Photography eventually found its way into museums. Today we know that cameras didnt kill art; they simply provided people with another way to express themselves visually.

This analogy is crucial to understanding the potential for artificial intelligence to influence art in this century.

As machine learning becomes an increasing part of our everyday lives incorporated into everything from the phones we text with to the cars we drive its only natural to ask what the future of art in such an A.I.-dominated society will be. This question becomes even more relevant as machines step into the artistic realm as creators of art. In summer 2019, the Barbican Centre in London presented A.I.-produced pieces in a show called A.I.: More Than Human. And in November later that year, over one million people attended an exhibition exploring art and science at the National Museum of China in which many works were created using algorithms.

I founded the Art and Artificial Intelligence Laboratory at Rutgers University in 2012. As an A.I. researcher, my main goal is to advance the technology. For me, this requires looking at human creativity to develop algorithms that not only understand our achievements in visual art, music and literature, but also produce or co-produce works in those fields. After all, it is our capacity to expand our creative skills beyond basic problem-solving into artistic expression that uniquely distinguishes us as humans.

Human creativity has led to the invention of artificial intelligence, and now machines themselves can be forces of creativity. Naturally we are curious to see what A.I. is capable of and how it can develop. During the past eight years at the lab, our researchers have realized that A.I. has great potential for solving problems in art. For example, as an analytical tool, machine intelligence can help distinguish authentic paintings from forged ones by analyzing individual brush strokes.

A.I. can also make sense of art by helping uncover potentially similar influences among artworks from different periods. In one test, machine learning was able to identify works that changed the course of art history and highlight new aspects of how that history evolved.

Beyond digesting information, machines have also been able to create novel images nearly entirely on their own that viewers are unable to distinguish from works made by human artists. A.I. is even able to compose music that you can listen to on Spotify.

Artists have long integrated new technologies into their practices. A.I. is no exception, yet there is a fundamental difference. This time, the machine is its own source of creativity with the ability to comb through vast amounts of historical and social data, artificial intelligence can produce truly novel and uncanny imagery that is beyond our imagination. This element of surprise is the force that can advance artistic mediums in new directions, with the machines functioning not only as tools for artists, but also as their partners.

But can an artificially intelligent machine be an artist in its own right? My answer is no.

While the definition of art is ever-evolving, at its core it is a form of communication among humans. Without a human artist behind the machine, A.I. can do little more than play with form, whether that means manipulating pixels on a screen or notes on a musical ledger. These activities can be engaging and perceptually intriguing, but they lack meaning without interaction between artist and audience.

In recent years Ive been blessed to work with an increasing number of artists interested in exploring A.I. in their practices. Ive dedicated myself to this work by developing Playform, a platform that allows artists to experiment with artificial intelligence without having to understand or navigate the algorithms and terminology behind the technology.

Once such technological barriers are lifted, artists can make amazing things happen. Some of them use the technology to create images for artworks or for virtual reality projects. Many use A.I. to find inspiration. Others feed images of their own into the computer, using machine intelligence like a workshop to better understand their style.

Ive noticed that new technologies are often met first with skepticism before eventually being embraced. I see the same trajectory emerging for artificial intelligence. Like the camera, A.I. offers a means for artists and non-artists alike to express themselves. That makes me confident that smart machines can only help, not hurt, human creativity. The future of art looks promising.

Ahmed Elgammal is the director of the Art and Artificial Intelligence Lab at Rutgers University and the founder of the A.I. company Playform.

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The Robot Artists Arent Coming - The New York Times

RICHMONDGovernor Ralph NorthamFriday announced that Virginians can now use COVIDCheck, a new online risk-assessment tool to check their symptoms and connect with the appropriate health care resource, including COVID-19 testing.

If you are feeling sick or think you may have been exposed to someone with COVID-19, it is important that you take action right away, said Governor Northam. This online symptom-checking tool can help Virginians understand their personal risk for COVID-19 and get recommendations about what to do next from the safety of their homes. As we work to flatten the curve in our Commonwealth, telehealth services like this will be vital to relieving some of the strains on providers and health systems and making health care more convenient and accessible.

COVIDCheck is a free, web-based, artificial intelligence-powered telehealth tool that can help individuals displaying symptoms associated with COVID-19 self-assess their risk and determine the best next steps, such as self-isolation, seeing a doctor or seeking emergency care. This resource assists in identifying users who are at higher risk of COVID-19 and can help individuals find a nearby testing site. It is not to be used in place of emergency medical care.

COVIDCheck users who say they are experiencing symptoms commonly associated with COVID-19 are screened for occupational and medical risk factors and are given one of five care levels in accordance with the Virginia Department of Healths categories.

Because COVID-19 can affect people differently and cause illness ranging from mild to severe, this personalized assessment tool can help people sort through symptoms and decide if they need to seek medical care, said State Health Commissioner M. Norman Oliver, MD, MA. While COVIDCheck is not a substitute for medical advice, it can help people decide what steps to take next to protect themselves, their loved ones, and the community.

By answering a series of questions, an individual can receive a personalized, real-time self-assessment with information and recommendations on what to do next. The recommendations, based on the latest guidance from the Centers for Disease Control and Prevention, include advice on when to contact a medical professional or seek emergency care, next steps for care based on zipcode, and permission to follow up with the individual in three days to see how the person is doing.

Were proud to partner with the Commonwealth of Virginia to mobilize our AI-powered health assistant to provide the most accurate and helpful information to all Virginians during this vital time, said Andrew Le, MD, CEO and co-founder of Buoy Health, which developed COVIDCheck. And as the Commonwealth cautiously continues its phased approach to reopen, our primary goal at Buoy is to empower its residents to make the best decisions about their health so that they may re-enter society in a responsible wayfor themselves, their loved ones, and the Virginia community-at-large.

Virginians can visit vdh.virginia.gov/coronavirus/covidcheck to learn more and use COVIDCheck.

Buoy is a digital health company developed out of the Harvard Innovation Labs by a team of doctors and data-scientists, aimed at providing personalized clinical support through technology to individuals the moment they have a health care concern. Buoy helps remove the fear and complexity that often confronts people as they enter the system by navigating and engaging patients intelligently. The all-on-one technology is able to deliver triage at scale with transparency, connecting individuals with the right care endpoints at the right time.

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Commonwealth deploys artificial intelligence-powered online tool to help Virginians self-screen for COVID-19 - Southwest Times

Madrid, 27th May 2020. - Telefnica presents the Telefnica Activation Programme, an initiative aimed at start-ups and SMEs in Germany, Spain and the UK seeking to enhance their technological solutions and accelerate their business development through IoT, Blockchain and Big Data/AI (Artificial Intelligence) technologies grouped into Telefnica Tech. To do so, it will give them the opportunity to get to know and take advantage of the company's different platforms in each of these technologies completely free of charge for a period of six months. Start-ups from these three countries interested in participating in this initiative can submit their applications until 22 June through the website http://www.activationprogramme.telefonica.com.

In addition, the start-ups will opt for the possibility of carrying out a pilot with Telefnica and its corporate customer portfolio, as well as being analysed to assess an investment opportunity by Wayra.

Collaboration is more important than ever, which is why at Connected Open Innovation we want to help start-ups scale by giving them access to our technology platforms through the use of APIs, which are free, agile and simple, said Irene Gmez, director of Connected Open Innovation at Telefnica.

Those companies accepted in the IoT category will benefit from six months of free IoT connectivity, with access to Kite, an IoT connectivity platform developed by Telefnica, which will allow the start-ups to manage their solution in an integrated manner. Moreover, by requesting LPWA connectivity, they will also receive an IoT module and access to The Thinx laboratories in Madrid and Barcelona, where they will be able to perform prototypes and even tests in a real environment, saving time and optimising the investment.

On the other hand, with the blockchain welcome pack the start-ups will be able to enjoy unlimited access for the duration of the programme to the TrustOS modules, a platform that makes it easy for companies to incorporate the main benefits of immutability and transparency inherent to the technology into their value proposition. Thanks to this hybrid solution developed by Telefnica (which combines public and private networks), companies will be able to benefit simultaneously from the transparency and confidence of public networks, guaranteeing the performance and scalability necessary for business operations.

Finally, as far as Big Data/AI technology is concerned, they will have access to the LUCA Suite, an inhouse developed platform that allows to automate the data processing in minutes, integrating Machine Learning capabilities in an easy and intuitive way. In this way, without prior knowledge of automatic learning, it is possible to make predictions that increase business opportunities.

Throughout the experience, a team of Telefnica experts provides personalised support adapted to the needs of each start-up, as well as additional training and networking services to get the most out of the programme.

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Telefnica offers start-ups its IoT, blockchain and artificial intelligence technology to help them boost their business - TelecomTV

The automotive industry is a key driver and user of artificial intelligence (AI), which is fast percolating to different work areas. Now German major Durr has developed Advanced Analytics, the first market-ready AI application for paint shops.

This intelligent solution, which combines the latest IT technology and mechanical engineering expertise, identifies sources of defects and determines optimal maintenance schedules. It also tracks previously unknown correlations and uses the knowledge to adapt the algorithm to the plant using the principle of self-learning. Advanced Analytics is the latest module from the DXQanalyze product series. First practical applications are showing that the software from Durr optimises plant availability and the surface quality of painted bodies.

Why do body parts exhibit the same defects with an unusually high frequency? When is the latest that a mixer in the robot can be replaced without causing machine stoppage? Precise answers are important for sustainable economic success.Because every defect or every unnecessary maintenance procedure that can be avoided saves money or improves the product quality. Before there were very few precise conclusions that would enable the early detection of quality defects or failures.And if there were, they were generally based on a painstaking manual data evaluation or trial-and-error attempts. Artificial intelligence (AI) makes this much more accurate and automatic, explains Gerhard Alonso Garcia, Vice President MES & Control Systems at Drr.

The new self-learning Advanced Analytics plant and process monitoring system adds toDXQanalyze. The digital product series from Durr already included the Data Acquisition modules for acquiring production data, Visual Analytics for visualising it, and Streaming Analytics. The latter lets plant operators analyse in close to real time whether there are deviations from previously defined rules or target values in production using a low-code platform.

Durr'sAI application Advanced Analytics identifies sources of defects and determines optimal maintenance schedules.

AI application with its own memoryWhat makes Advanced Analytics special is that the module combines large quantities of data including historical data with machine learning. In the figurative sense, this means that the self-learning AI application has a memory. This means that it can use information from the past to both recognise complex correlations in large quantities of data and predict an event in the future with a high degree of accuracy based on the current condition of a machine. There are multiple applications for this in paint shops, whether at component, process, or plant level.

Durr software reduces plant downtimes through predictive maintenance,repair information.

Reducing plant downtime with predictive maintenanceWhen it comes to components, Advanced Analytics reduces downtimes through predictive maintenance and repair information, for example by predicting the remaining service life of a mixer. If the component is replaced too early, it increases the spare part costs and repair overhead unnecessarily, while leaving it too long to replace a component can result in quality problems during coating and machine stoppages. Advanced Analytics starts by learning the wear indicators and the temporal pattern of the wear using high-frequency robot data. Since the data is continuously recorded and monitored, the machine learning module individually recognizes aging trends for the respective component based on actual use and calculates the optimum replacement time.

Machine learning simulates continuous temperature curvesAdvanced Analytics improves quality at process level by identifying anomalies, for example by simulating the heat-up curve in the oven. Up to now, manufacturers only had data determined by sensors during measurement runs. However, the heat-up curves that are of vital importance for surface quality of the car bodies vary since the oven ages during the intervals between the measurement runs. This wear causes fluctuating ambient conditions, for example, in the strength of the air flow.

These days, thousands of bodies are produced without us knowing the temperatures to which the individual bodies were heated. Using machine learning, our Advanced Analytics module simulates how the temperature varies under different conditions. This gives our customers a permanent proof of quality for each individual body and lets them identify anomalies, says Gerhard Alonso Garcia.

Higher first-run rate increases equipment effectivenessAt plant level, theDXQplant.analytics software is used with the Advanced Analytics module to increase overall equipment effectiveness. The artificial intelligence tracks system defects such as recurring quality defects in model types, specific colours, or on individual body parts. This permits conclusions about which step in the production process is responsible for the deviations. Such defect and cause correlations make it possible to increase the first-run rate by allowing intervention at a very early stage.

Plant and digital expertise expertly combinedDeveloping AI-capable data models is a very complex process. Machine learning does not work by feeding unspecified amounts of data into a 'smart' algorithm, which then spits out an intelligent result. Instead, relevant (sensor) signals must be collected, carefully selected, and supplemented with structured additional information from production.With Advanced Analytics, Durr has developed a piece of software that supports different use scenarios, provides a runtime environment for machine learning models, and initiates model training. The challenge was there was no generally valid machine learning model and no suitable run-time environment we could have used.To be able to use AI at plant level, we combined our knowledge of mechanical and plant engineering with the knowledge of our experts from the Digital Factory. This resulted in the first AI solution for paint shops, explains Gerhard Alonso Garcia.

With Artificial Intelligence, systematic errors in the painting process can be detected, thus OEE can be increased by allowing intervention at a very early stage.

Interdisciplinary knowledge pays dividendsAdvanced Analytics was developed by an interdisciplinary team of data scientists, computer scientists, and process experts. Durr also entered into cooperation partnerships with several leading automotive manufacturers. This allowed the developers to access real-life production data and beta site environments in production for different application cases. First the algorithms were trained in the lab using a large number of test cases. Next, the algorithms continued learning on-site in real-life operation and autonomously adapted to environment and use conditions. The beta phase was recently successfully completed and showed the potential of AI.

Durr's India connectThe Durr Group has had a direct representation in India since 1997, and Schenck RoTec has since 1986. The Durr Group currently employs around 590 staff there, offering the entire portfolio including sales and service: Durr India, based in Chennai, offers painting, application, final assembly and energy efficiency technology products as well as air pollution control, noise abatement systems and coating systems for battery electrodes.

Since April 2015, Durr India has also been offering on-the-job as well as classroom training in paint and application systems to customers at its new training center.Schenck RoTec India, in Noida, is responsible for balancing technology as well as for testing and filling technology. The HOMAG Group produces machinery and equipment for the woodworking industry. It has a presence in Bangalore, where it operates a production site and sales and service company HOMAG India.

The Drr Group is one of the world's leading mechanical and plant engineering firms with extensive expertise in automation and digitalization/Industry 4.0. Its products, systems and services enable highly efficient manufacturing processes in different industries. The Durr Group supplies sectors like the automotive industry, mechanical engineering, chemical, pharmaceutical and woodworking industries. It generated sales of 3.92 billion euros in 2019. The company has around 16,500 employees and 112 business locations in 34 countries. The Group operates in the market with the brands Drr, Schenck and HOMAG and with five divisions:

Paint and Final Assembly Systems:paint shops as well as final assembly, testing and filling technology for the automotive industry

Application Technology:robot technologies for the automated application of paint, sealants and adhesives

Clean Technology Systems:air pollution control, noise abatement systems and coating systems for battery electrodes

Measuring and Process Systems:balancing equipment and diagnostic technology

Woodworking Machinery and Systems:machinery and equipment for the woodworking industry

Also read:Durr Systems wins German Innovation Award for robot painting system

/news-international/durr-brings-artificial-intelligence-to-the-paint-shop-56448 Durr brings artificial intelligence to the paint shop Durr brings artificial intelligence to the paint shop https://www.autocarpro.in/Utils/ImageResizer.ashx?n=http://img.haymarketsac.in/autocarpro/cc8e20a9-9966-44d0-bbfb-4cae9eefcc8e.jpg

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Durr brings artificial intelligence to the paint shop - Autocar Professional

According to a group of artificial intelligence (AI) researchers from the National Tsing Hua University in Taiwan, Facebook, and Virginia Tech, they have developed a better way to create 3D images. The researchers state that their method is superior to Facebook's current 3D Photos feature and other already existing methods to generate 3D photos.

Facebook rolled out its 3D Photos back in 2018 for dual-camera mobiles such as iPhone X. Facebook 3D Photos uses TrueDepth camera to evaluate the depth in images. In the latest study, the researchers use several images captured with an iPhone to indicate how their approach eliminates the discontinuity and blur other existing 3D methods offer.

This new way may also make for better Facebook 3D Images, however, if the new method translates to other environments, it may also result in more real immersion in environments with 3D graphics.This new way is able to create 3D images from RGB-D imagery and it also operates with regular 3D images by using a pre-trained depth evaluation system. The research work also claims superior performance than LLFF and Nvidias Xview. Researchers assessed the performance of some 3D models by using imagery from the RealEstate 10K data set. During the past few months, Nvidia, Microsoft, and Facebook have introduced technologies to create 3D objects from 2D photos. However, the new method uses inpainting, a process of artificial intelligence predicting missing pixels in photos, to generate 3D images.

The new cutting-edge 3D image approach was published in a paper on preprint arXiv. According to the authors, their approach is different as it relies heavily on inpainting for depth value as well as color predictions. Moreover, the new method does not also require pre-determining a specific number of layers for generating 3D photos.

Read next: Facebook Introduces AI to Make eCommerce Easier

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Facebook's Artificial Intelligence Experts Claims They Have Developed A Better Way To Create 3D Images - Digital Information World

Madrid, 27th May 2020. - Telefnica presents the Telefnica Activation Programme, an initiative aimed at start-ups and SMEs in Germany, Spain and the UK seeking to enhance their technological solutions and accelerate their business development through IoT, Blockchain and Big Data/AI (Artificial Intelligence) technologies grouped into Telefnica Tech. To do so, it will give them the opportunity to get to know and take advantage of the company's different platforms in each of these technologies completely free of charge for a period of six months. Start-ups from these three countries interested in participating in this initiative can submit their applications until 22 June through the website http://www.activationprogramme.telefonica.com.

In addition, the start-ups will opt for the possibility of carrying out a pilot with Telefnica and its corporate customer portfolio, as well as being analysed to assess an investment opportunity by Wayra.

'Collaboration is more important than ever, which is why at Connected Open Innovation we want to help start-ups scale by giving them access to our technology platforms through the use of APIs, which are free, agile and simple,' said Irene Gmez, director of Connected Open Innovation at Telefnica.

IoT, blockchain and AI: three technologies for a technological present

Those companies accepted in the IoT category will benefit from six months of free IoT connectivity, with access to Kite, an IoT connectivity platform developed by Telefnica, which will allow the start-ups to manage their solution in an integrated manner. Moreover, by requesting LPWA connectivity, they will also receive an IoT module and access to The Thinx laboratories in Madrid and Barcelona, where they will be able to perform prototypes and even tests in a real environment, saving time and optimising the investment.

On the other hand, with the blockchain welcome pack the start-ups will be able to enjoy unlimited access for the duration of the programme to the TrustOS modules, a platform that makes it easy for companies to incorporate the main benefits of immutability and transparency inherent to the technology into their value proposition. Thanks to this hybrid solution developed by Telefnica (which combines public and private networks), companies will be able to benefit simultaneously from the transparency and confidence of public networks, guaranteeing the performance and scalability necessary for business operations.

Finally, as far as Big Data/AI technology is concerned, they will have access to the LUCA Suite, an inhouse developed platform that allows to automate the data processing in minutes, integrating Machine Learning capabilities in an easy and intuitive way. In this way, without prior knowledge of automatic learning, it is possible to make predictions that increase business opportunities.

Throughout the experience, a team of Telefnica experts provides personalised support adapted to the needs of each start-up, as well as additional training and networking services to get the most out of the programme.

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Telefonica SA : Telefnica offers start-ups its IoT, blockchain and artificial intelligence technology to help them boost their business -...