Page 3,283«..1020..3,2823,2833,2843,285..3,2903,300..»

Next-Generation Industrial Robotic Capabilities Advanced by Artificial Intelligence – Robotics Tomorrow

November 17, 2020 | Author: admin

As barriers between human activities and robotic capabilities diminish moving beyond the fenced activities of last-generation industrial robots new collaboration and workflow models are bringing humans and robots together in industry.

Case Study from | Wind River

THE CHALLENGE

Emerging instances of AI-enabled cobots, autonomous vehicles, and non-piloted drone operations are part of an expanding array of innovative use cases in industrial robotics. Industrial robotics integrated with AI are predicted to spur market growth by a projected CAGR of more than 15% in coming years, reaching USD 66.48 billion by 2027, according to Fortune Business Insights. As barriers between human activities and robotic capabilities diminish moving beyond the fenced activities of last-generation industrial robots new collaboration and workflow models are bringing humans and robots together in industry. Despite advances, however, expanding the range of use cases for robotics in Industrial IoT (IIoT) environments requires negotiating long-standing technical roadblocks. This includes the challenge of integrating diverse components across heterogeneous networks, employing machine learning to build and operate intelligent systems that adapt to workflows, and implementing responsive, low-latency communication services to interact with robotics systems in real time.

THE APPROACH

Artificial intelligence is critical to new robotics approaches. And rather than augmenting existing machine operations by bolting on AI-driven components, AI-first puts the intelligence at the forefront of the design process to perform at the core of a task. The focus is on building solutions that meld hardware and software to effectively use machine learning and AI-guided functions, performing operations with greater speed, reliability, security, and safety. As with digital transformation, the AI-first approach requires a rethinking of traditional design transforming architectures to satisfy the solution requirements over the full lifecycle, rather than just reorganizing and tinkering with existing solutions. The Wind Riverportfolio, with its multiple solutions and purpose-built embedded components, provides a flexible and agile foundation for meeting this need. Wind River solutions are elements of an extensive roadmap leading to the benefits and enhanced business value promised by todays industrial robotics.

A global leader in delivering software for intelligent connected systems, Wind River offers a comprehensive, end-to-end portfolio of solutions ideally suited to address the emerging needs of IoT, from the secure and managed intelligent devices at the edge, to the gateway, into the critical network infrastructure, and up into the cloud. Wind River technology is found in nearly 2 billion devices and is backed by world-class professional services and award-winning customer support.

Other Articles

How can industrial equipment companies keep pace with the push to economizeand modernize, to be more data-centric, and to provide safety and security in theface of constant innovation?

How can industrial robots gain new abilities that can increase their operational value while remaining safe and secure in a factory collaborating with humans?

With the accelerating growth of the Internet of Things (IoT), it is increasingly important to identify and implement safety-related systems for smart grids, connected vehicles, robotics, industrial control systems, smart factories, and more.

This post does not have any comments. Be the first to leave a comment below.

You must be logged in before you can post a comment. Login now.

Designed for assembly and inspection applications in the electronics equipment and automobile components industries, the THE600 SCARA is a powerful automation tool. Advancing from the specifications of the existing THE400 SCARA, the THE600 has been developed to meet growing demand for fast-cycle automation. The THE600 model includes improvements in synchronised control and tracking precision. The THE600 is compact in design and offers improved high speed, with 60 per cent higher payload capacity than competing SCARA models in the same price range, making it the price-to-performance leader. Affordable price, impressive performance.

Read more here:
Next-Generation Industrial Robotic Capabilities Advanced by Artificial Intelligence - Robotics Tomorrow

Read More..
Posted in Artificial Intelligence | Leave a Comment

Capgemini Press Release // Capgemini Research: Artificial Intelligence set to help organizations cut greenhouse gas emissions by 16% in the next 3-5…

November 17, 2020 | Author: admin

Good morning,

Please find below the press release issued today.

Best regards,

Michele Moore DuhenGlobal PR Manager | Group Marketing & Communications

Capgemini Group | LondonTel.: +44 3709 053408 Email: Michele.MooreDuhen@capgemini.com_____________________________

Press contact:Michele Moore Duhen Tel.: +44 370 905 3408 Email: michele.mooreduhen@capgemini.com

Capgemini Research: Artificial Intelligence set to help organizations cut greenhouse gas emissions by 16% in the next 3-5 years

48% of organizations surveyed are using AI for climate action, resulting in reduced greenhouse gas emissions (GHG) and improved power efficiency

Paris, November 17, 2020 Artificial Intelligence (AI) powered use cases for climate action have the potential to help organizations fulfil up to 45% of their Economic Emission Intensity (EEI) targets of the Paris Agreement. This is according to a new research entitled, Climate AI: How artificial intelligence can power your climate action strategy, from the Capgemini Research Institute, conducted in partnership with climate change start-up right. based on science. While AI offers many climate action use cases, scaled deployment is proving elusive and just 13% of organizations are successfully combining climate vision with AI capabilities.

Two-thirds (67%) of organizations have set long-term business goals to tackle climate change. While many technologies address a specific outcome, such as carbon capture or renewable sources of energy, AI can accelerate organizations climate action across sectors and value chains; and, adoption is on the rise as more than half of organizations (53%) are moving beyond pilots or proofs of concepts1. AI use cases include improving energy efficiency, reducing dependence on fossil fuels, and optimizing processes to aid productivity. From the 800 sustainability and tech executives surveyed in 400 organizations in the automotive, industrial/process manufacturing, energy and utilities, consumer products, and retail industries, nearly half (48%) are using AI for climate action and as a result have reduced greenhouse gas emissions (GHG) by 12.9%, improved power efficiency by 10.9% and reduced waste by 11.7% since 2017.

The potential positive impact of AI is significant. Organizations can expect to cut GHG emissions by 16% in the next three to five years through AI-driven climate action projects2. Across the five sectors, the research finds that AI-powered use cases can deliver up to 45% of the Paris Accord requirement leading up to 20303. The consumer retail sector demonstrates the most potential for improvement using AI at 45% and wholesale retail the least at 11%. By analyzing more than 70 climate action AI use cases, Capgemini identified the 10 with the biggest impact. Detailed in the report, these include energy consumption and optimization platforms, algorithms to automatically identify defects and predict failures without interrupting operations, and tracing leakages at industrial sites.

Successful deployment requires barriers to be overcomeDespite the considerable potential of AI for climate action, adoption remains low. This could be due to several barriers to progress:

European climate AI champions are leading the pack Only 13% of organizations have aligned their climate vision and strategy with their AI capabilities these are who Capgemini defines as climate AI champions4. Two-fifths of these come from Europe, followed by the Americas and APAC. Climate AI champions are closer to the required Paris Agreement temperature contributions compared with their peers in both scope 1 and 2 emissions and have made considerable gains in applying AI to reduce direct emissions.

A clear knowledge gap is also emerging, as 84% of executives would rather compensate for (or offset) their carbon footprint than deploy technology solutions to reduce their footprint (16%) in the long run. This suggests a lack of awareness for AI climate action potential. According to the report organizations need to invest in AI and data science teams to understand how best to deploy AI to harness it positively for sustainability.

Leverage AIs full climate action potential, but also consider its impactDespite technology advances, AI systems and solutions can potentially consume a lot of power and can generate significant volumes of climate-changing carbon emissions. Before beginning to deploy AI use cases, organizations need to carefully assess the environmental impact, build greater awareness and build AI solutions with sustainability core design principles, to ensure that the benefits of their AI deployments outweigh their emissions cost.

Addressing climate change is everyones responsibility and AI has the potential to make a significant impact, yet only a fraction of organizations are actively using this technology to its full potential, says Anne Laure Thieullent, Vice President, Artificial Intelligence and Analytics Group Offer Leader at Capgemini. For climate action as well, execution starts from the top of the organization, by aligning the use of data & AI to its strategic corporate agenda, with sustainability at the heart of it. Without this clear direction, there is a missing link between intention and technology prioritization and execution. Organizations have the opportunity to prioritize the deployment of AI solutions to address their sustainable goals. Frameworks now exist to educate, build awareness, establish scalable operating models, and manage data to deliver tangible business outcomes with AI applied to climate action. And of course, this requires AI solutions to be designed, built, deployed and monitored with sustainable design principles to ensure overall positive environmental impact.

For further information and the recommendations based on the research, access the full reporthere.

Research MethodologyCapgemini surveyed 800 executives from 400 organizations. Each organization had two respondents: one sustainability executive and one business or technology executive. As well as the survey of executives, Capgemini surveyed a panel of 300 experts: regulators, academics, and AI subject matter experts. Capgemini complemented the surveys with in-depth interviews of over 40 sustainability experts, business/tech experts, AI practitioners and startups, think tanks and academicians working in the field of AI and/or climate change. Capgemini also partnered with right. based on science, for their expertise in XDC Model Methodology, to estimate and quantify the impact of AI on GHG emissions of organizations. It is the only methodology of its kind to integrate a full climate model (also used by the UN Intergovernmental Panel on Climate Change). It is science-based, peer-reviewed, forward-looking, Task Force on Climate-related Financial Disclosures (TCFD) compatible, aligned with the EU Green Deal, transparent and Open Source (currently for academia; fully Open Source from 2021).

About CapgeminiCapgemini is a global leader in consulting, digital transformation, technology, and engineering services. The Group is at the forefront of innovation to address the entire breadth of clients opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. A responsible and multicultural company of 265,000 people in nearly 50 countries, Capgeminis purpose is to unleash human energy through technology for an inclusive and sustainable future. With Altran, the Group reported 2019 combined global revenues of 17 billion.Visit us atwww.capgemini.com.

About the Capgemini Research InstituteThe Capgemini Research Institute is Capgeminis in-house think-tank on all things digital. The Institute publishes research on the impact of digital technologies on large traditional businesses. The team draws on the worldwide network of Capgemini experts and works closely with academic and technology partners. The Institute has dedicated research centers in India, Singapore, the United Kingdom and the United States. It was recently ranked #1 in the world for the quality of its research by independent analysts. Visit us at https://www.capgemini.com/researchinstitute/

1 Source: Capgemini Research Institute, The AI-powered enterprise: unlocking the potential of AI at scale, July 2020.

2 According to the Capgemini survey AI can potentially reduce GHG emissions by an average 16% over the next 3-5 years across Automotive, Manufacturing, Consumer Products, Retail, and Energy and Utilities sectors.

3 Capgemini uses the X-Degree Compatibility (XDC) Model, developed by right., to determine whether GHG emission reductions from AI will help align organizations climate impact to a global warming level below 2C. The XDC Model calculates the contributions of a company, portfolio or any other economic entity to climate change, answering the question: How much global warming could we expect, if the entire world operated at the same economic emission intensity as the entity in question? Results are expressed in a tangible degree Celsius (C) number: the XDC. This science-based climate metric expresses the temperature alignment of a company. The main input parameter for the XDC Model is a metric called Economic Emission Intensity (EEI). The EEI of an organization or a sector establishes a relationship between the emissions produced per generation of one-million-euro Gross Value Added (GVA). Hence, the EEI shows the ability of an organization to decouple their economic growth from their emissions.

4 To understand which organizations have achieved alignment, and which are in pole position to turn AIs climate potential into action and value, Capgemini analyzed all surveyed organizations based on two dimensions climate action vision and AI capabilities execution. Climate AI Champions have mature climate change vision, strategy, and strong record of accomplishment of AI implementation for climate action.

Visit link:
Capgemini Press Release // Capgemini Research: Artificial Intelligence set to help organizations cut greenhouse gas emissions by 16% in the next 3-5...

Read More..
Posted in Artificial Intelligence | Leave a Comment

Daedalean Explains Path to Safety-Critical Certification for Artificial Intelligence in Avionics – Aviation Today

November 17, 2020 | Author: admin

The visual positioning system (VPS) runs Daedalean's algorithms to report to flight control equipment or to a human pilot the data on position, altitude, heading, ground and vertical speed, accelerations (and corresponding uncertainties) and gives landing guidance. (Daedalean)

Technologies like artificial intelligence (AI) and machine learning (ML) continue to be a black box for many in the aviation industry, Luuk van Dijk, founder and CEO of Daedalean, said during a Revolution.Aero Town Hall. However, van Dijk sees AI/ML as a way to simplify aviation operations and improve on current human piloting capabilities all while being safety-critical certified.

It was delightful to see a lot of misunderstanding and preconceptions about how impossible this [AI] was, van Dijk said. Our goal is to develop the kind of machine equivalent of human capability, which would call AI so that we can get to this ultimate form of autonomy."

Van Dijk saw a gap in the developing electric vertical take-off and landing (eVTOL) industry four years ago and decided to tackle it, he said during the webinar. While others in the industry were building new energy storage and propulsion systems, he would tackle AI, which he believed others lacked the skill set and risk appetite for.

We looked at machine learning systems, and everybody knows these are black boxes and you can never get them certified because nobody knows how they work, van Dijk said. So I figured while everybody thinks that, we can start working on understanding how they work and not only build the systems that are good enough to make the kind of judgment calls that the human makes today, but also build the tools and the instruments and the mode of thinking for a regulator like EASA [European Union Aviation Safety Agency] and the FAA [Federal Aviation Administration] to see that these things are fit for purpose and safe.

On Apr. 1, Daedalean and EASA jointly published a reportentitled, Concepts of Design Assurance for Neural Networks.

The report is the result of 10 months of work between EASA and Daedalean. According to EASA, the jointly published report is the result of a 10-month collaborative project between the two organizations with the goal of investigating the challenges and concerns of using Neural Networks (NN) in aviation.

AI technology has come a long way, starting with playing chess and then recognizing cats in YouTube videos, van Dijk said. Now that computational power and big data are on the scene, AI is ready to advance to bigger tasks, including safety critical flight controls and navigation systems.

Before AI is ready to pilot an aircraft, there has to be a redefinition of the mystery behind how it works. Van Dijk said he prefers to talk about machine learning systems to get rid of the idea that AI is a magic black box.

You take well-defined subtasks of the art of flying and then you can build a system that meets the VFR [visual flight rules] requirements of seeing other aircraft on visual, even the ones that don't show up on a radar, or ones that can recognize the runway on visual and make the call to abort or not because there's the burning wreck of the previous guy to try to land there, van Dijk said. There are clearly there's no equivalent system today and you have to solve these problems.

Van Dijk admits that the stakes are high for this technology. The first accident will have massive repercussions for the industry, van Dijk said. This is why he says getting a pass for developing a non-deterministic system would be a big mistake.

AI will have to prove it is safer than human piloting, van Dijk said. These systems will have to deal with uncertainty in real-world environments. The avionics industry deals with uncertainty by outlawing it and passing it to the human pilot. While uncertainty is a problem with AI piloted systems, it is also a problem in the environment for human pilots.

The trick is that worrying about the non-determinism is a bit of a red herring because the system itself is perfectly reproducible and analyzable, van Dijk said. What you have to do is you have to show that the data that you trained and tested on in the lab is sufficiently representative of the randomness you're going to find out in the real world.

While certification of AI will not be trivial or easy, van Dijk said, it is not impossible. He compares the path for AI certification to how avionics software is certified by the FAA, DO-178C.

In August, Daedalean confirmed a partnership with business and general aviation aircraft avionics maker Avidyne to develop what they describe as the first ever machine learning-based avionics system. It is designed as several cameras and a powerful computation unit, interfacing to other aircraft electronics, capable of detecting any airborne or ground-based hazard.

Nothing in the process actually guarantees that your system will then fail not more than once in 107 hours of flight, van Dijk said. And what you have to realize is that's already an exception, compared to all the other systems in your aircraft.

It is not a perfect system, van Dijk admits, but the risk is manageable. However, this does not mean that regulators should let up on the pressure to make these systems as safe as possible because this will allow more public acceptance of AI piloting aircraft.

"The paradox is, and this is actually kind of surprising that by going for this harder class of systems, we can actually get to a higher level of safety, provided we do it right, van Dijk said. And then the other thing I think is important is that we, and the public, should not be satisfied until we have actually proven that, so that's actually a very important point. We should not have the attitude that you know the old regulator should step aside and let the modern age take over.

See original here:
Daedalean Explains Path to Safety-Critical Certification for Artificial Intelligence in Avionics - Aviation Today

Read More..
Posted in Artificial Intelligence | Leave a Comment

Allied Solutions partners with leading Artificial Intelligence provider Interface, to offer an Intelligent Virtual Assistant to Financial Institutions…

November 17, 2020 | Author: admin

SAN MATEO, Calif., Nov. 17, 2020 /PRNewswire/ -- Allied Solutions, one of the largest providers of insurance, lending, and marketing products to financial institutions, has entered into a strategic partnership with Interface effective September 24, 2020.

Interface has several decades of experience building enterprise-grade technology for financial institutions. Interface's Intelligent Virtual Assistant has already enabled financial institutions across the world to achieve greater efficiencies in their top-line & bottom-line while ensuring the best customer experience. With Interface's solution, financial institutions are automating 60% of call center volume within 60 days, ensuring consumers have access to their financial services provider 24/7 with zero wait times, seeing a 500% increase in online application conversion, a 30% increase in average revenue per customer, and experiencing 0% call abandonment rates.

"We are living in a digital world where 24x7 access and self-service options are a must for all organizations providing financial services. Allied Solutions is excited to partner with Interface at this time to help aid our clients in meeting their consumers where they are at, retaining revenue and enhancing efficiencies," said Pete Hilger, Allied Solutions' CEO.

"We are excited to partner with an industry leader such as Allied Solutions who has been providing exceptional solutions to financial institutions over several years. Combining Allied Solutions' expertise and Interface's industry best Intelligent Virtual Assistant, we aim to help the majority of financial institutions in North America to leapfrog from Digital to Intelligent Banking," said Srinivas Njay, Interface, CEO.

Both Allied Solutions and Interface look forward to delivering these valuable services to financial institutions and their consumers.

About Allied Solutions, LLC

Allied Solutions is one of the largest providers of insurance, lending, and marketing products to financial institutions in the US. Allied Solutions uses technology-based products and services customized to meet the needs of 4,000 clients along with a portfolio of innovative products and services from a wide variety of providers. Allied Solutions maintains over 15 regional offices and service centers around the country and is a subsidiary of Securian Financial Group, Inc.

About Interface

Interface provides an out-of-the-box Intelligent Virtual Assistant that acts as a "personal bank teller" to help customers 24x7 through every step of the journey from being a prospect to achieving financial wellness. Interface currently powers several financial institutions across the world and is proven in production with customers already witnessing over $50M in ROI. Visit http://www.interface.aito learn more.

Media Contact:

Laura Bryant [emailprotected]+1-650-381-9283

SOURCE Interface

Read the original post:
Allied Solutions partners with leading Artificial Intelligence provider Interface, to offer an Intelligent Virtual Assistant to Financial Institutions...

Read More..
Posted in Artificial Intelligence | Leave a Comment

EVERSANA and WorldQuant Predictive significantly improve patient adherence and outcomes through real-time Artificial Intelligence & Machine…

November 17, 2020 | Author: admin

CHICAGO, Nov. 17, 2020 /PRNewswire/ --EVERSANA, the pioneer of next generation commercial services to the global life sciences industry, has partnered with WorldQuant Predictive (WQP), a market leader in quantitative predictions and data-driven decisions through a cloud-based artificial intelligence (AI) platform, to improve the end result for patients.

The combination of WQP's AI platform with the ACTICS by EVERSANA technology solution will dramatically increase patient adherence and outcomes by improving the precision of predictions, enabling proactive commercialization services to better reach and guide providers and patients.

WQP enables organizations to create and apply predictive solutions to large pools of third-party data without handing over proprietary assets, protecting both the data and patients' privacy. Through the integration of WQP's platform with ACTICS and EVERSANA's end-to-end commercialization services, EVERSANA is now the only integrated commercialization services provider that can rapidly make predictions and take actions on the insights gleaned from linked electronic health records, claims, clinical trials and/or genomic data. This dramatically improves patient outcomes and transforms the patient experience.

ACTICS is being leveraged into the launch and commercialization strategies for multiple pharmaceutical and digital therapies and works seamlessly with EVERSANA's integrated commercial services platform designed to solve global pricing, access, reimbursement, real-world evidence, adherence and product delivery challenges in the life sciences sector. Multiple pharmaceutical and digital therapies are leveraging ACTICS for launch and commercialization strategies.

"AI and machine learning are rapidly moving from the `hobby shop' approach to streaming platform scale," said Brigham Hyde, President, Data & Analytics, EVERSANA. "The integration of WorldQuant Predictive's platform with EVERSANA's commercialization solution is built for the modern healthcare data ecosystem and democratizes model tuning and optimization in a way that ensures maximum performance for our commercial services."

"We are very excited to partner with EVERSANA to improve delivery of vital medications to patients who need them," said James Golden, Ph.D., CEO of WorldQuant Predictive. "Overlaying WQP's platform, global research network, auto ML capabilities and enhanced data libraries will allow EVERSANA'S pharmaceutical clients to more precisely predict and enhance patient adherence. With this collaboration, EVERSANA can deliver better support for their commercial pharmaceutical customers, patients and providers."

Through this multi-year partnership, EVERSANA is WQP's preferred services partner for life sciences and will extend WQP's platform and real-world data capabilities, with scaled commercialization, data and outcome science services for life sciences.

This partnership follows EVERSANA's recent announcements outlining comprehensive data and infrastructure partnerships with Symphony Health, Compile and Datavant, positioning ACTICS by EVERSANA as a best-in-breed data and predictive technology. For more information, visit eversana.com/ACTICS.

Media Contacts:

EVERSANASarah Zwicky [emailprotected] 414-434-4691

WorldQuant PredictiveWayne Henninger [emailprotected]570-573-6556

About EVERSANA EVERSANA is the leading independent provider of global services to the life sciences industry. The company's integrated solutions are rooted in the patient experience and span all stages of the product life cycle to deliver long-term, sustainable value for patients, prescribers, channel partners and payers. The company serves more than 500 organizations, including innovative start-ups and established pharmaceutical companies, to advance life sciences solutions for a healthier world. To learn more about EVERSANA, visiteversana.comor connect throughLinkedInandTwitter.

About WorldQuant PredictiveWorldQuant Predictive is the market leader in quantitative predictions, leveraging artificial intelligence and machine learning to rapidly create a predictive edge for organizations. WorldQuant Predictive was founded by Igor Tulchinsky. The firm's cloud-based platform enables data-driven decisions at scale. Its combination of global quantitative talent and proprietary technology gives clients the power to quickly see around corners and make better, more proactive decisions. WorldQuant Predictive is a separate entity from WorldQuant, LLC, a global quantitative asset management firm. For more information, visit https://wqpredictive.com/.

SOURCE Eversana

Home

Continue reading here:
EVERSANA and WorldQuant Predictive significantly improve patient adherence and outcomes through real-time Artificial Intelligence & Machine...

Read More..
Posted in Artificial Intelligence | Leave a Comment

The Intelligent Combination of 5G Technology and Artificial Intelligence – Analytics Insight

November 17, 2020 | Author: admin

5G is the eventual future of the edge. Despite the fact that its as yet quite a while away from widespread deployment, 5G is a critical segment in the development of cloud-computing ecosystems toward more distributed environments. Between now and 2025, the networking industry will contribute about $1 trillion worldwide on 5G, supporting quick worldwide adoption of mobile, edge, and embedded devices in essentially every circle of our lives.

5G will be a prime impetus for the pattern under which more workloads are executed and data dwells on edge devices. It will be a demonstrating ground for cutting-edge artificial intelligence (AI), offering an environment within which data-driven algorithms will control each cloud-driven process, device, and experience. Similarly as huge, AI will be a vital segment in guaranteeing that 5G networks are enhanced from start to finish, 247.

Many believe that 5G internet and artificial intelligence will change the world. Being interlaced on one platform, they will make incredible opportunities and create a totally new point of view. 5G internet isnt just about faster information, it will change our present comprehension of mobile phone applications topsy turvy and influence all parts of our life. Along these lines, critical endeavors are in progress for the commercial deployment of 5G internet.

We have to interweave the innovations of 5G and artificial intelligence since they will help take care of manmade problems and widen our circle of knowledge. We are living in a time of innovative progression but we actually cant get a handle on the causes for our issues.

By joining 5G and artificial intelligence, we can discover solutions for already unsolved problems. It very well may be clarified by taking an example from the health industry.

Studies show that 33% of the population can get some type of cancer. Right now, there is no methodology to show the factors and reasons for the health industry. However, by utilizing 5G, we can store volumes of data on malignancy, and afterward through artificial intelligence, we can try to analyze the patterns and record the factors and attributes of cancer.

To give some context, it is essential to perceive how 5G and AI are embedded together. 5G is depicted as the cutting-edge mobile communication tech of the not so distant future and will improve the speed and integration of different innovations. This will be driven by speed, quality of service, reliability and more that it can do to change the current way we utilize the internet and its related services.

On the other end, we have to comprehend that AI is ready to permit machines and frameworks to work with intelligence levels like that of humans. With 5G helping in the background online simulations for analysis, reasoning, data fitting, clustering and optimizations, AI will turn out to be more reliable and available at the speed of light. Envision that whenever you have trained your frameworks to play out specific tasks, performing analysis will get automatic and quicker while costing far less.

Set forth plainly, 5G speeds up the services that you may have on the cloud, an impact similar to being local to the service. Artificial intelligence will examine similar data faster and can learn quickly to create as per users needs.

5G additionally guarantees huge achievements in conventional mobile communications systems. 5G will improve the capacities of our conventional networks. Indeed, even the speed we get over wire or fiber goes a lot further over a 5G network and advances to help the uses of IoT in different fields, including business, manufacturing, medical services and transportation. 5G will fill in as the essential innovation for future IoT advancements that connect and operate entire organizations, the point being to help differentiated applications with a uniform technical structure.

5G unites digital cellular technology with wireless Long-Term Evolution and Wi-Fi interfaces. At the point when deployed in cross-technology network interfaces, 5G will empower each edge gadget to consistently wander among indoor and wide-zone environments. The innovations adoption may someday result in convergence of the radio spectra for these dissimilar radio channels and combination of network interfaces down to single chips that are agile at keeping up consistent connections over different radio access technologies. These same 5G interfaces will without a doubt be converged with neural network processing circuitry into low-power, low-cost frameworks on chip for some mass-market AI applications.

Where these advances will interact is basically at the edge of the network, by using a blend of processing power, artificial intelligence and advanced connectivity like 5G. The intelligent edge is characterized by devices employed all through a network and near the users or tools creating data that have the advantages of AI processing and 5G network, permitting them to work all the more autonomously and proficiently.

To serve the next generation of distributed AI apps effectively, 5G networks should turn out to be persistently self-mending, self-overseeing, self-securing, self-fixing and self-enhancing. That, thus, depends on implanting machine learning and other AI models to automate application-level traffic routing, quality-of-service assurance, performance management, root-cause analysis, and other operational tasks more scalably, predictably, rapidly, and efficiently than manual methods alone.

That capacity, frequently known as AIOps, will be critical to 5G providing on its guarantee of considerably quicker, more reliable, and more RF-proficient connections than earlier remote innovations. AIOps capacities should be essential to the network virtualization and multi-cloud management suites that are utilized to oversee 5G networks and related applications from start to end.

Share This ArticleDo the sharing thingy

Originally posted here:
The Intelligent Combination of 5G Technology and Artificial Intelligence - Analytics Insight

Read More..
Posted in Artificial Intelligence | Leave a Comment

IIT Madras to offer free online courses on Artificial Intelligence from January 2021. Check out how to join – EdexLive

November 17, 2020 | Author: admin

With the recent surge in the demand for Artificial Intelligence, Machine Learning, Big Data courses more so after the pandemic Indian Institute of Technology Madras (IITM) is offering two free online courses on AI through the National Program on Technology Enhanced Learning (NPTEL) platform. These courses will be conducted by Professor Deepak Khemani from the Department of Computer Science and Engineering at the institute. Both the courses are scheduled to begin from January 2021.

Students can enrol for the courses free of cost, however, the institute will conduct an exam before awarding the candidates with e-certificate, which if opted for will cost Rs 1,000. The certificate will be awarded by IITM in collaboration with the NPTEL platform.

Speaking about the importance of learning AI in today's day age, professor Khemani tells us, "A famous computer scientist from Ireland once said AI is the holy grail of computer science. It's a common person's view of computers, they feel that computers can do everything. The user states the problem and the computer solves, that is the broad goal of AI. It is a pretty long-term goal and we are not yet nearly close. However, the availability of data, increase in computing power, use of AI solutions in fields like medical diagnosis, has brought it into the limelight. I personally feel that it is important for students and specifically computer science students to opt for AI courses."

Professor Khemani further goes on to add that, "IIT Madras recently began an online BSc programme in Data Science. We have seen the rising demand for such courses and the AI courses are mainly aimed at people who are working professionals or are pursuing another degree elsewhere. They can attend these courses part-time online and thus increase their qualification. This programme is aimed at helping people acquire new skills and thus become job-ready."

The two courses IITM is offering along with NPTEL includes an eight-week-long course that begins in January 2021 and another which is 12-week-long, which begins from January 18, 2021, and goes on till April 09, 2021. The first course, called AI: Constraint Satisfaction, is designed to teach students how to solve problems in various ways. The course focuses on how AI is inspired by diverse approaches. The course curriculum includes constraint networks, equivalent and projection networks, search methods for solving CSPs, lookahead methods, dynamic variable and value order, model-based systems, model-based diagnosis, truth maintenance systems and more.

The other course is called Artificial Intelligence: Knowledge Representation and Reasoning, which is designed to help candidates become problem solvers. It is mainly for those with some exposure to formal languages, programming and logic. The course curriculum includes Proof Systems, Natural Deduction, Tableau Method, Resolution Method, Description Logic (DL), Structure Matching, Classification, Default Logic, Autoepistemic Logic, Epistemic Logic, Multi-Agent Scenarios and more.

The courses are open to students and professionals across all age groups. "Among the people who have registered, the oldest learners are over 80 years and the majority are around 30 years of age. Most of these individuals are already working. Thus, these courses are not designed to be a primary degree but a secondary one. If you are already pursuing another full-fledged degree even then one can apply for this. It is mainly to help upgrade ones' skills," adds professor Khemani.

Finally, explaining how online platforms are helping educational institutes to offer such courses easily, the professor adds, "Definitely because of the pandemic educational institutes are finding it easier to rely on these platforms. It was happening earlier too, colleges had tied up with ed tech platforms, however, currently, this is higher. The government has also been conducting free courses on SWAYAM, which are extremely helpful for students and working professionals amid such time of crisis."

Read this article:
IIT Madras to offer free online courses on Artificial Intelligence from January 2021. Check out how to join - EdexLive

Read More..
Posted in Artificial Intelligence | Leave a Comment

Development and evaluation of a deep learning based artificial intelligence for automatic identification of gold fiducial markers in an MRI-only…

November 17, 2020 | Author: admin

Identification of prostate gold fiducial markers in magnetic resonance imaging (MRI) images is challenging when CT images are not available, due to misclassifications from intra-prostatic calcifications. It is also a time consuming task and automated identification methods have been suggested as an improvement for both objectives. Multi-echo gradient echo (MEGRE) images have been utilized for manual fiducial identification with 100% detection accuracy. The aim is therefore to develop an automatic deep learning based method for fiducial identification in MRI images intended for MRI-only prostate radiotherapy. MEGRE images from 326 prostate cancer patients with fiducials were acquired on a 3T MRI, post-processed with N4 bias correction, and the fiducial center of mass (CoM) was identified. A 9 mm radius sphere was created around the CoM as ground truth. A deep learning HighRes3DNet model for semantic segmentation was trained using image augmentation. The model was applied to 39 MRI-only patients and 3D probability maps for fiducial location and segmentation were produced and spatially smoothed. In each of the three largest probability peaks, a 9 mm radius sphere was defined. Detection sensitivity and geometric accuracy was assessed. To raise awareness of potential false findings a 'BeAware' score was developed, calculated from the total number and quality of the probability peaks. All datasets, annotations and source code used were made publicly available. The detection sensitivity for all fiducials were 97.4%. Thirty-six out of thirty-nine patients had all fiducial markers correctly identified. All three failed patients generated a user notification using the BeAware score. The mean absolute difference between the detected fiducial and ground truth CoM was 0.7 0.9 [0 3.1] mm. A deep learning method for automatic fiducial identification in MRI images was developed and evaluated with state-of-the-art results. The BeAware score has the potential to notify the user regarding patients where the proposed method is uncertain.

Physics in medicine and biology. 2020 Nov 12*** epublish ***

Christian Jamtheim Gustafsson, Johan Swrd, Stefan Ingi Adalbjrnsson, Andreas Jakobsson, Lars E Olsson

Department of Hematology, Oncology and Radiation Physics, Skne University Hospital, Lund, Sweden. Department of Translational Sciences, Medical Radiation Physics, Lund University, Malm, Sweden.

PubMed http://www.ncbi.nlm.nih.gov/pubmed/33179610

Link:
Development and evaluation of a deep learning based artificial intelligence for automatic identification of gold fiducial markers in an MRI-only...

Read More..
Posted in Artificial Intelligence | Leave a Comment

Artificial Intelligence In Fashion Retail Market to Witness Massive Growth by 2025 | Top Players Alibaba, Stitch Fix, Snap, Truefit, Finery – PRnews…

November 17, 2020 | Author: admin

Latest study Artificial Intelligence In Fashion Retail market across the globe is intense and has attained significant market penetration across the globe. Further, upcoming scientific development in this market is anticipated to motivate the vendors to introduce more efficient and hi-tech Artificial Intelligence In Fashion Retail solutions.

Some of the key players operating in the global Artificial Intelligence In Fashion Retail market are Alibaba, Stitch Fix, Snap, Truefit, Finery, Stylumia, Nike, Walmart, Goody Box, Adidas, Burberry, Levis, Hook, Lvmh, Grabit

To get sample Copy @ https://www.reportsweb.com/inquiry&RW00013723839/sample

The report also offers a 360 outlook of the market through the competitive landscape of the global industry player and helps the companies to garner Artificial Intelligence In Fashion Retail market revenue by understanding the strategic growth approaches.

The Study is a combination of qualitative and quantitative analysis of the virtual reality industry. The global market majorly considers five major regions, namely, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America (SACM).

Major highlights of the report:

To inquire about the discount available on this Report, visit @ https://www.reportsweb.com/inquiry&RW00013723839/discount

* ReportsWeb s dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

Fundamentals of Table of Content:

1 Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered1.4 Market Analysis by Type1.5 Market by Application1.6 Study Objectives1.7 Years Considered

2 Global Growth Trends2.1 Artificial Intelligence In Fashion Retail Market Size2.2 Artificial Intelligence In Fashion Retail Growth Trends by Regions2.3 Industry Trends

3 Market Share by Key Players3.1 Artificial Intelligence In Fashion Retail Market Size by Manufacturers3.2 Artificial Intelligence In Fashion Retail Key Players Head office and Area Served3.3 Key Players Artificial Intelligence In Fashion Retail Product/Solution/Service3.4 Date of Enter into Artificial Intelligence In Fashion Retail Market3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Product4.1 Global Artificial Intelligence In Fashion Retail Sales by Product4.2 Global Artificial Intelligence In Fashion Retail Revenue by Product4.3 Artificial Intelligence In Fashion Retail Price by Product

5 Breakdown Data by End User5.1 Overview5.2 Global Artificial Intelligence In Fashion Retail Breakdown Data by End User

Access full Report Description, TOC, Table of Figure, Chart, etc. @ https://www.reportsweb.com/buy&RW00013723839/buy/3000

Contact Us:

Name: Sameer Joshi

Email: [emailprotected]

Phone: +1-646-491-9876

About ReportsWeb:

ReportsWeb is a one stop shop of market research reports and solutions to various companies across the world. We help our clients in their decision support system by assisting them choose most relevant and cost effective research reports and solutions from various publishers. We provide best in class customer service and our customer support team is always available to help you on your research queries.

See the original post here:
Artificial Intelligence In Fashion Retail Market to Witness Massive Growth by 2025 | Top Players Alibaba, Stitch Fix, Snap, Truefit, Finery - PRnews...

Read More..
Posted in Artificial Intelligence | Leave a Comment

Daewoo Engineering and Construction and SPH Engineering disclose AI partnership – sUAS News

November 17, 2020 | Author: admin

Riga, Latvia November 16, 2020 SPH Engineering announces the cooperation withDaewoo Engineering and Construction to support the partners data management projects with ATLAS, a unique AI platform enabling aerial imagery storage, maps creation, change tracking, object detection and territory segmentation. Photogrammetry data is expected to become one of the key components for storage and processing.

ATLAS will enable Daewoo Engineering and Construction, in particular, to set up an onlinearchive of drone imagery and photogrammetry products, track changes and generate reports, automate object detection and measure the identified objects of interest. Thanks to enhanced analytical capability for drone inspections, the platform will increase data availability for participants of construction workflow and help to save days of manual processing.

ATLAS can be definitely used in various fields, but it will be a groundbreaking platform,especially in the field of construction survey. Were going to grow further together,Geunmok Song(Alex), Digital construction team manager of Daewoo Engineering andConstruction, comments.

When we introduced ATLAS back in spring, first of all we wanted to support our existingUgCS customers with an easy-to-use AI tool to store and process data collected with oursoftware integrated to a UAV. We are proud that Daewoo Engineering and Construction, the representative of Korea, has opted for our solution: the company has presented various ideas from the perspective of the actual construction company employee. We are happy to modify ATLAS interface for Daewoos style and needs, including colour and logo adjustments,

Alexei Yankelevich, R&D Director of SPH Engineering, adds.

About SPH Engineering/ ATLAS

SPH Engineering (sph-engineering.com) is the worlds premier UgCS software, developerand integration services provider for unmanned aerial systems. Founded in 2013 in Latvia, the company has created a rich global customer network while over 45% of customers are located in North America. Its developed UgCS, UgCS CC, UgCS Mapper, Drone Show Software, and Industrial Integration Solutions for UAV with Echo Sounders, Ground Penetrating Radars (GPR), Methane detectors, and Magnetometers, enriched with radar/laser altimeters, are applied across a wide range of industries worldwide. The newest product line is ATLAS a unique digital platform enabling aerial imagery storage, maps creation, object detection/counting and making territory segmentation.

Read the rest here:

Daewoo Engineering and Construction and SPH Engineering disclose AI partnership - sUAS News

Read More..
Posted in Engineering | Leave a Comment