Conheça a resposta da Siemens para a demanda de próteses ortopédicas customizadas e como é possível automatizar o processo desde a captura da imagem do paciente até o projeto, fabricação e planejamento cirúrgico da prótese ou implante.
The document discusses the main areas of information and communication technology (ICT) including medicine, education, and entertainment. It specifically examines how ICT is used in medicine for areas like healthcare, in education through various online courses, and in entertainment industries like gaming, film, music, and digital content purchases.
AI in Health Care: How to Implement Medical Imaging using Machine Learning?Skyl.ai
The document discusses implementing machine learning and computer vision for medical imaging applications. It begins with an overview of machine learning and computer vision in healthcare and challenges like processing large data volumes and reducing human errors. Then, it demonstrates using Skyl.ai's machine learning platform to detect pneumonia from chest X-rays. Key advantages of the platform include fast and collaborative data labeling, model training and monitoring, and both cloud and on-premise deployment options. The presentation concludes by inviting attendees to try a free trial of Skyl.ai.
AI in Healthcare: How to Implement Medical Imaging Using Machine Learning?Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time, and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care, and interconnected health conditions.
Through this webinar, you will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you will learn:
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
How AI is Changing Medical Imaging in the Healthcare Industry Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care and interconnected health conditions.
Through this webinar, we will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
5 Manufacturing Technology Trends That Lead to Cost SavingsInsight
Rising demand for high-quality, affordable products has put pressure on manufacturers to optimize their processes. Let’s explore some of the leading solutions that have transformed the industry.
Learn more: http://ms.spr.ly/6000Tweiq
This PPT will expose you to the transformation taking place, throughout the world, in the way that products are being designed and manufactured. The transformation is happening through digital manufacturing and design (DM&D) – a shift from paper-based processes to digital processes in the manufacturing industry.
You will gain an understanding of and appreciation for the role that technology is playing in this transition. The technology we use every day – whether it is communicating with friends and family, purchasing products or streaming entertainment – can benefit design and manufacturing, making companies and workers more competitive, agile and productive. Discover how this new approach to making products makes companies more responsive, and employees more involved and engaged, as new career paths in advanced manufacturing evolve.
This ppt of Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.
Delivering Better Healthcare Services with Edge AIMindfire LLC
Medicine has been one of the most renowned success stories of modern science and technology. However, the MIT Technology review observes that until 2020 the pace of digital transformation in this sector has been frustratingly low owing to its risk-averse nature and spiraling costs. The mainstreaming of digital tools for enabling the treatment outcomes was emerging, but slowly.
The document discusses the main areas of information and communication technology (ICT) including medicine, education, and entertainment. It specifically examines how ICT is used in medicine for areas like healthcare, in education through various online courses, and in entertainment industries like gaming, film, music, and digital content purchases.
AI in Health Care: How to Implement Medical Imaging using Machine Learning?Skyl.ai
The document discusses implementing machine learning and computer vision for medical imaging applications. It begins with an overview of machine learning and computer vision in healthcare and challenges like processing large data volumes and reducing human errors. Then, it demonstrates using Skyl.ai's machine learning platform to detect pneumonia from chest X-rays. Key advantages of the platform include fast and collaborative data labeling, model training and monitoring, and both cloud and on-premise deployment options. The presentation concludes by inviting attendees to try a free trial of Skyl.ai.
AI in Healthcare: How to Implement Medical Imaging Using Machine Learning?Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time, and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care, and interconnected health conditions.
Through this webinar, you will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you will learn:
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
How AI is Changing Medical Imaging in the Healthcare Industry Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care and interconnected health conditions.
Through this webinar, we will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
5 Manufacturing Technology Trends That Lead to Cost SavingsInsight
Rising demand for high-quality, affordable products has put pressure on manufacturers to optimize their processes. Let’s explore some of the leading solutions that have transformed the industry.
Learn more: http://ms.spr.ly/6000Tweiq
This PPT will expose you to the transformation taking place, throughout the world, in the way that products are being designed and manufactured. The transformation is happening through digital manufacturing and design (DM&D) – a shift from paper-based processes to digital processes in the manufacturing industry.
You will gain an understanding of and appreciation for the role that technology is playing in this transition. The technology we use every day – whether it is communicating with friends and family, purchasing products or streaming entertainment – can benefit design and manufacturing, making companies and workers more competitive, agile and productive. Discover how this new approach to making products makes companies more responsive, and employees more involved and engaged, as new career paths in advanced manufacturing evolve.
This ppt of Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.
Delivering Better Healthcare Services with Edge AIMindfire LLC
Medicine has been one of the most renowned success stories of modern science and technology. However, the MIT Technology review observes that until 2020 the pace of digital transformation in this sector has been frustratingly low owing to its risk-averse nature and spiraling costs. The mainstreaming of digital tools for enabling the treatment outcomes was emerging, but slowly.
Delivering Better Healthcare Services with Edge AI.pdfMindfire LLC
Medicine has been one of the most renowned success stories of modern science and technology. However, the MIT Technology review observes that until 2020 the pace of digital transformation in this sector has been frustratingly low owing to its risk-averse nature and spiraling costs. The mainstreaming of digital tools for enabling the treatment outcomes was emerging, but slowly.
Neobiotech introduces its Cameleon CAD/CAM system as an integrated digital solution for dentistry. The system provides precise 3D scanning, CAD modeling and design tools, and accurate milling and sintering. It offers benefits like improved communication, innovative material applications, guaranteed scan tools, precise and economical milling, and convenient and effective use. The system includes the TRIOS intraoral scanner, model scanners, CAD software, milling machines, and sintering furnaces.
In today’s globalized, competitive marketplace, being able to leverage technology to deliver faster turnaround times, meet lower pricing goals and provide customizable options can mean the difference between sustainability and irrelevancy. In this ebook, we’ll explore some of the leading solutions transforming the manufacturing industry:
- Automation for cost savings
- 3D printing for improved productivity
- Smart data for quality assurance
- Connectivity for safety and communication
- Security solutions to protect it all
Learn more: http://ms.spr.ly/6006Twegg
1) 3D Innovate seeks $500,000 in funding to establish an additive manufacturing business providing 3D printing services and products.
2) The company aims to develop cheaper prosthetics and implants by partnering with medical professionals and organizations.
3) 3D Innovate plans to provide cloud-based 3D printing services and labs to customers in industries like aerospace, automotive, and medical devices.
Advanced Manufacturing – Solutions That Are Transforming the IndustryMRPeasy
Advanced manufacturing is on its way to transform the industry. And there are solutions in place already that could help even small manufacturers keep up in the rapidly changing business environments.
The Future of Artificial Intelligence and Quality Management in Hospitals By....Healthcare consultant
The medical device industry has noticed this factor and uses it to save lives. Artificial intelligence (AI) in the life sciences industry is capable of more than one could imagine and it’s changing the future. For example, one organization is creating AI-based voice robot technology, which, according to an article in Management Matters Network, will deliver custom prescriptive advice to managers using strengths and performance data to help better coach and engage employees.
Automated audit management has served as a great source of information to delve deeper into data with predictive intelligence regarding safety and compliance. Leading safety metrics provide:
• Total number of noncompliances
• Number of near-misses enabling investigation to prevent potential incidents
• The time it takes to complete post-audit corrective and preventive actions
• Easy-to-view previous findings for corrective action launches and findings
• Automated audit management software that centralizes all risk items and allows users to automatically assess them and generate reports quickly to pinpoint high-risk gaps that may otherwise go unnoticed
Certus Accelerate - Building the business case for why you need to invest in ...Certus Solutions
The document discusses building a business case for investing in data by highlighting the large percentage of unstructured data growth across different industries like healthcare, government, utilities and media. It emphasizes that 80% of new data is unstructured and invisible to computers. The world is being rewritten in software code and cloud is the new platform for reimagining industries. It then discusses the need for predictive, prescriptive and cognitive systems to make sense of vast amounts of data. Investing in data integration, governance and master data management is essential to unlock insights from all data sources and provide a comprehensive view of information. Justifying such investments requires looking at the potential costs of data quality failures and benefits of avoiding rework.
The case for 3D printing in the Always-On supply chainMarc-Andre Leger
Case 10-1 in the course book: Turban, Efraim. INFORMATION TECHNOLOGY FOR MANAGEMENT: On-Demand Strategies for Performance, Growth and Sustainability. Eleventh Edition. WILEY, 2018.
Harbor Research: 3D Printing Growth OpportunityHarbor Research
This document discusses 3D printing as a growth opportunity for smart systems. It provides an overview of the 3D printing market and key trends, including increasing speeds and decreasing costs of printers. While adoption has been limited by materials and other factors, the document outlines several innovators in the 3D printing space that are working to address pain points and drive further adoption through new technologies and business models. It also provides a breakdown of the 3D printing ecosystem and the various players involved.
Blog – What is next for 3D Printing
3D printing continues to grow and expand its applications. USA is world-leader with the adoption of 3D printing. Canada has struggled with 3D adoption.
1. Addictive / 3D printing adoption - https://www.additivemanufacturing.media/articles/8-strategies-to-drive-additive-manufacturing-adoption-from-within-an-organization
2. Additive and open source AI - https://www.notebookcheck.net/MIT-accelerates-the-discovery-of-new-3D-printing-materials-with-open-source-AI-platform.573517.0.html
3. 10 best 3-D printing stocks - https://finance.yahoo.com/news/10-best-3d-printing-stocks-124549345.html
4. 3D applications - https://www.forbes.com/sites/forbes-personal-shopper/2021/10/18/new-macbook-pro-m1-16-inch-airpods-3/?sh=3c7992433e17
5. Risks - https://www.globaltechoutlook.com/all-you-need-to-know-about-the-hazardous-side-of-3d-printing/
6. Zero Trust and 3D printing - https://www.automationalley.com/articles/the-business-of-cybersecurity-in-advanced-manufacturing
7. Cloud migration - https://www.forbes.com/sites/forbesbusinesscouncil/2021/10/15/cloud-migration-challenges-for-manufacturers-transitioning-to-industry-40/?sh=327c48c067a6
8. Skills gaps - https://3dprintingindustry.com/news/sam-launches-european-skills-strategy-roadmap-to-tackle-3d-printing-skill-gaps-184601/
9. Future - https://www.cpacanada.ca/en/news/pivot-magazine/2021-10-15-printing-mosaic-manufacturing
10. Taxation / 3D – Governments around the world need to review their tax policies that relate to automation. https://www.thebalancesmb.com/capital-cost-computers-2948646
11. Adoption - https://blog.grabcad.com/blog/2021/07/21/countries-that-are-leading-the-way-in-3d-printing/
a. https://www.amchronicle.com/insights/exploring-canadas-additive-manufacturing-ecosystem/
The document discusses opportunities and challenges in China's 3D printing market. It finds that while China's 3D printing market is growing rapidly at 77% annually, development still lags Western markets. Government support and foreign firms driving adoption in China present opportunities for growth. However, challenges include a lack of technical expertise, high costs for industrial 3D printing equipment, and the need to bridge knowledge gaps through effective communication.
With some experts predicting that 3D printing will have more impact on economies and society than the internet, manufacturing industries are expected to look for opportunities for the early adoption of this game changing, innovative, technology. However, a recent report by Ipsos Business Consulting and VNU Exhibitions Asia suggests that manufacturers in China are adopting 3D printing technology at a much slower pace than anticipated.
Contact our China team to find out more. Email: china.bc@ipsos.com
Livre blanc : opportunités et challenges du marché de l'impression 3D en ChineIpsos France
China's 3D printing market is growing rapidly, reaching RMB 1.72 billion in 2013 and projected to exceed RMB 9 billion in the next few years. While 3D printing technology was developed in the 1980s, China's adoption and development has lagged Western markets due to lack of resources and expertise. However, promotional policies and widespread media coverage have increased interest and growth. The report identifies opportunities and challenges for China's 3D printing industry and proposes solutions such as lowering costs, expanding industry collaboration, and improving knowledge sharing.
AI in Healthcare: Can AI Help in Diagnosing CoronavirusSkyl.ai
About the webinar
The entity that has caused a newfound global love of hand sanitizers and masks? The Coronavirus (known as ‘2019-nCov’ or ‘Covid-19), which has infected about 5,00,000 people globally within a few months!
According to the WHO: 'In the most severe cases, the infection can cause pneumonia, severe acute respiratory syndrome, and even death.' Statements like these beg the question: 'How accurate are the tests to spot the disease?' 'Can AI assist in giving a more accurate diagnosis?'
The AI Model generated via Skyl.ai’s deep learning platform can accurately detect COVID-19 through patterns in X-ray scans and differentiate it from community-acquired pneumonia and other lung diseases that may otherwise be overlooked by a doctor.
Through this webinar, we will demo how AI can be used to test the Covid19 infections, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions can leverage AI to detect COVID-19 and reduce the time taken to provide critical care to patients who are affected.
- Discuss the approach to automate the machine learning workflow, creating and deploying models in hours and not weeks or months.
- Demo: How to create an ML model that can detect COVID-19 from chest x-rays using Skyl.ai.
There is a skills gap in facilities management as 87,000 new engineers are needed each year but the sector is seen as boring, requiring long hours, and being labor intensive by students. While 50% of managers see knowledge transfer as a key issue and 57% of employers think IT skills are most in demand, recruiting the next generation workforce is becoming more difficult. Technology such as the Internet of Things, augmented reality, and wearables will impact business models, skills required, and number of staff required in the facilities management sector.
There is a skills gap in facilities management as 87,000 new engineers are needed each year but the sector is seen as boring, requiring long hours, and being labor intensive by students. While 50% of managers see knowledge transfer as a key issue and 57% of employers think IT skills are most in demand, recruiting the next generation of workers is becoming more difficult. Technology such as augmented reality, the internet of things, and wearable devices will impact business models, skills required, and staffing needs in the facilities management industry.
Artificial intelligence (ai) multidisciplinary perspectives on emerging chall...PanagiotisKeramidis
This document discusses artificial intelligence (AI) and its emerging challenges and opportunities. It notes that AI is increasing the capability of algorithms and machines to perform human tasks through technologies like autonomous vehicles, chatbots, and medical diagnosis. However, society has yet to fully understand the ethical, economic, and social impacts of AI. The document outlines several challenges of AI, including unintended consequences, economic challenges like cost, data challenges around quality and access, and technological challenges regarding transparency and interpretability. It concludes by discussing how AI could impact the UN's sustainable development goals both positively through improved productivity and healthcare, and negatively through job disruption and increased inequality if not properly managed.
Discover Rootstock ERP: Top Manufacturing Trends to Watch in 2018Rootstock Software
Manufacturers must embrace industry trends in order to stay ahead of the competition. With 2017 coming to a close, it is time to start focusing on the top manufacturing trends that will impact the industry and your organization in the upcoming year.
You will learn:
- What the top manufacturing trends are for 2018
- How these trends will impact manufacturing
- How Rootstock Cloud ERP fits into these trends
Cloud ITSM Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opport...IMARC Group
The global cloud ITSM market size reached US$ 8.7 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 36.0 Billion by 2032, exhibiting a growth rate (CAGR) of 16.92% during 2024-2032.
More Info:- https://www.imarcgroup.com/cloud-itsm-market
SpaceX uses NX, Femap, and Teamcenter software to create a managed development environment for its rockets. This allows SpaceX to virtually model entire rockets in NX, collaborate effectively between teams, and leverage design data for manufacturing and marketing. Using this environment has resulted in a 50% productivity improvement and enabled SpaceX to develop the first privately operated liquid-fuel rocket to deliver a commercial satellite to orbit at a cost that is one-third of other options.
Este documento convida parceiros da UNIMEP e do IAR para participarem de um workshop sobre Indústria 4.0 que será realizado em 13 de junho de 2016 na UNIMEP. A programação inclui palestras sobre visões da Siemens, análise de fluxo de valor, manufatura avançada, pesquisa e desenvolvimento nesta área, programação robótica e aplicações do Google Glass na indústria.
More Related Content
Similar to Automatizando o processo de imagem para implantes ortopédicos
Delivering Better Healthcare Services with Edge AI.pdfMindfire LLC
Medicine has been one of the most renowned success stories of modern science and technology. However, the MIT Technology review observes that until 2020 the pace of digital transformation in this sector has been frustratingly low owing to its risk-averse nature and spiraling costs. The mainstreaming of digital tools for enabling the treatment outcomes was emerging, but slowly.
Neobiotech introduces its Cameleon CAD/CAM system as an integrated digital solution for dentistry. The system provides precise 3D scanning, CAD modeling and design tools, and accurate milling and sintering. It offers benefits like improved communication, innovative material applications, guaranteed scan tools, precise and economical milling, and convenient and effective use. The system includes the TRIOS intraoral scanner, model scanners, CAD software, milling machines, and sintering furnaces.
In today’s globalized, competitive marketplace, being able to leverage technology to deliver faster turnaround times, meet lower pricing goals and provide customizable options can mean the difference between sustainability and irrelevancy. In this ebook, we’ll explore some of the leading solutions transforming the manufacturing industry:
- Automation for cost savings
- 3D printing for improved productivity
- Smart data for quality assurance
- Connectivity for safety and communication
- Security solutions to protect it all
Learn more: http://ms.spr.ly/6006Twegg
1) 3D Innovate seeks $500,000 in funding to establish an additive manufacturing business providing 3D printing services and products.
2) The company aims to develop cheaper prosthetics and implants by partnering with medical professionals and organizations.
3) 3D Innovate plans to provide cloud-based 3D printing services and labs to customers in industries like aerospace, automotive, and medical devices.
Advanced Manufacturing – Solutions That Are Transforming the IndustryMRPeasy
Advanced manufacturing is on its way to transform the industry. And there are solutions in place already that could help even small manufacturers keep up in the rapidly changing business environments.
The Future of Artificial Intelligence and Quality Management in Hospitals By....Healthcare consultant
The medical device industry has noticed this factor and uses it to save lives. Artificial intelligence (AI) in the life sciences industry is capable of more than one could imagine and it’s changing the future. For example, one organization is creating AI-based voice robot technology, which, according to an article in Management Matters Network, will deliver custom prescriptive advice to managers using strengths and performance data to help better coach and engage employees.
Automated audit management has served as a great source of information to delve deeper into data with predictive intelligence regarding safety and compliance. Leading safety metrics provide:
• Total number of noncompliances
• Number of near-misses enabling investigation to prevent potential incidents
• The time it takes to complete post-audit corrective and preventive actions
• Easy-to-view previous findings for corrective action launches and findings
• Automated audit management software that centralizes all risk items and allows users to automatically assess them and generate reports quickly to pinpoint high-risk gaps that may otherwise go unnoticed
Certus Accelerate - Building the business case for why you need to invest in ...Certus Solutions
The document discusses building a business case for investing in data by highlighting the large percentage of unstructured data growth across different industries like healthcare, government, utilities and media. It emphasizes that 80% of new data is unstructured and invisible to computers. The world is being rewritten in software code and cloud is the new platform for reimagining industries. It then discusses the need for predictive, prescriptive and cognitive systems to make sense of vast amounts of data. Investing in data integration, governance and master data management is essential to unlock insights from all data sources and provide a comprehensive view of information. Justifying such investments requires looking at the potential costs of data quality failures and benefits of avoiding rework.
The case for 3D printing in the Always-On supply chainMarc-Andre Leger
Case 10-1 in the course book: Turban, Efraim. INFORMATION TECHNOLOGY FOR MANAGEMENT: On-Demand Strategies for Performance, Growth and Sustainability. Eleventh Edition. WILEY, 2018.
Harbor Research: 3D Printing Growth OpportunityHarbor Research
This document discusses 3D printing as a growth opportunity for smart systems. It provides an overview of the 3D printing market and key trends, including increasing speeds and decreasing costs of printers. While adoption has been limited by materials and other factors, the document outlines several innovators in the 3D printing space that are working to address pain points and drive further adoption through new technologies and business models. It also provides a breakdown of the 3D printing ecosystem and the various players involved.
Blog – What is next for 3D Printing
3D printing continues to grow and expand its applications. USA is world-leader with the adoption of 3D printing. Canada has struggled with 3D adoption.
1. Addictive / 3D printing adoption - https://www.additivemanufacturing.media/articles/8-strategies-to-drive-additive-manufacturing-adoption-from-within-an-organization
2. Additive and open source AI - https://www.notebookcheck.net/MIT-accelerates-the-discovery-of-new-3D-printing-materials-with-open-source-AI-platform.573517.0.html
3. 10 best 3-D printing stocks - https://finance.yahoo.com/news/10-best-3d-printing-stocks-124549345.html
4. 3D applications - https://www.forbes.com/sites/forbes-personal-shopper/2021/10/18/new-macbook-pro-m1-16-inch-airpods-3/?sh=3c7992433e17
5. Risks - https://www.globaltechoutlook.com/all-you-need-to-know-about-the-hazardous-side-of-3d-printing/
6. Zero Trust and 3D printing - https://www.automationalley.com/articles/the-business-of-cybersecurity-in-advanced-manufacturing
7. Cloud migration - https://www.forbes.com/sites/forbesbusinesscouncil/2021/10/15/cloud-migration-challenges-for-manufacturers-transitioning-to-industry-40/?sh=327c48c067a6
8. Skills gaps - https://3dprintingindustry.com/news/sam-launches-european-skills-strategy-roadmap-to-tackle-3d-printing-skill-gaps-184601/
9. Future - https://www.cpacanada.ca/en/news/pivot-magazine/2021-10-15-printing-mosaic-manufacturing
10. Taxation / 3D – Governments around the world need to review their tax policies that relate to automation. https://www.thebalancesmb.com/capital-cost-computers-2948646
11. Adoption - https://blog.grabcad.com/blog/2021/07/21/countries-that-are-leading-the-way-in-3d-printing/
a. https://www.amchronicle.com/insights/exploring-canadas-additive-manufacturing-ecosystem/
The document discusses opportunities and challenges in China's 3D printing market. It finds that while China's 3D printing market is growing rapidly at 77% annually, development still lags Western markets. Government support and foreign firms driving adoption in China present opportunities for growth. However, challenges include a lack of technical expertise, high costs for industrial 3D printing equipment, and the need to bridge knowledge gaps through effective communication.
With some experts predicting that 3D printing will have more impact on economies and society than the internet, manufacturing industries are expected to look for opportunities for the early adoption of this game changing, innovative, technology. However, a recent report by Ipsos Business Consulting and VNU Exhibitions Asia suggests that manufacturers in China are adopting 3D printing technology at a much slower pace than anticipated.
Contact our China team to find out more. Email: china.bc@ipsos.com
Livre blanc : opportunités et challenges du marché de l'impression 3D en ChineIpsos France
China's 3D printing market is growing rapidly, reaching RMB 1.72 billion in 2013 and projected to exceed RMB 9 billion in the next few years. While 3D printing technology was developed in the 1980s, China's adoption and development has lagged Western markets due to lack of resources and expertise. However, promotional policies and widespread media coverage have increased interest and growth. The report identifies opportunities and challenges for China's 3D printing industry and proposes solutions such as lowering costs, expanding industry collaboration, and improving knowledge sharing.
AI in Healthcare: Can AI Help in Diagnosing CoronavirusSkyl.ai
About the webinar
The entity that has caused a newfound global love of hand sanitizers and masks? The Coronavirus (known as ‘2019-nCov’ or ‘Covid-19), which has infected about 5,00,000 people globally within a few months!
According to the WHO: 'In the most severe cases, the infection can cause pneumonia, severe acute respiratory syndrome, and even death.' Statements like these beg the question: 'How accurate are the tests to spot the disease?' 'Can AI assist in giving a more accurate diagnosis?'
The AI Model generated via Skyl.ai’s deep learning platform can accurately detect COVID-19 through patterns in X-ray scans and differentiate it from community-acquired pneumonia and other lung diseases that may otherwise be overlooked by a doctor.
Through this webinar, we will demo how AI can be used to test the Covid19 infections, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions can leverage AI to detect COVID-19 and reduce the time taken to provide critical care to patients who are affected.
- Discuss the approach to automate the machine learning workflow, creating and deploying models in hours and not weeks or months.
- Demo: How to create an ML model that can detect COVID-19 from chest x-rays using Skyl.ai.
There is a skills gap in facilities management as 87,000 new engineers are needed each year but the sector is seen as boring, requiring long hours, and being labor intensive by students. While 50% of managers see knowledge transfer as a key issue and 57% of employers think IT skills are most in demand, recruiting the next generation workforce is becoming more difficult. Technology such as the Internet of Things, augmented reality, and wearables will impact business models, skills required, and number of staff required in the facilities management sector.
There is a skills gap in facilities management as 87,000 new engineers are needed each year but the sector is seen as boring, requiring long hours, and being labor intensive by students. While 50% of managers see knowledge transfer as a key issue and 57% of employers think IT skills are most in demand, recruiting the next generation of workers is becoming more difficult. Technology such as augmented reality, the internet of things, and wearable devices will impact business models, skills required, and staffing needs in the facilities management industry.
Artificial intelligence (ai) multidisciplinary perspectives on emerging chall...PanagiotisKeramidis
This document discusses artificial intelligence (AI) and its emerging challenges and opportunities. It notes that AI is increasing the capability of algorithms and machines to perform human tasks through technologies like autonomous vehicles, chatbots, and medical diagnosis. However, society has yet to fully understand the ethical, economic, and social impacts of AI. The document outlines several challenges of AI, including unintended consequences, economic challenges like cost, data challenges around quality and access, and technological challenges regarding transparency and interpretability. It concludes by discussing how AI could impact the UN's sustainable development goals both positively through improved productivity and healthcare, and negatively through job disruption and increased inequality if not properly managed.
Discover Rootstock ERP: Top Manufacturing Trends to Watch in 2018Rootstock Software
Manufacturers must embrace industry trends in order to stay ahead of the competition. With 2017 coming to a close, it is time to start focusing on the top manufacturing trends that will impact the industry and your organization in the upcoming year.
You will learn:
- What the top manufacturing trends are for 2018
- How these trends will impact manufacturing
- How Rootstock Cloud ERP fits into these trends
Cloud ITSM Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opport...IMARC Group
The global cloud ITSM market size reached US$ 8.7 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 36.0 Billion by 2032, exhibiting a growth rate (CAGR) of 16.92% during 2024-2032.
More Info:- https://www.imarcgroup.com/cloud-itsm-market
Similar to Automatizando o processo de imagem para implantes ortopédicos (20)
SpaceX uses NX, Femap, and Teamcenter software to create a managed development environment for its rockets. This allows SpaceX to virtually model entire rockets in NX, collaborate effectively between teams, and leverage design data for manufacturing and marketing. Using this environment has resulted in a 50% productivity improvement and enabled SpaceX to develop the first privately operated liquid-fuel rocket to deliver a commercial satellite to orbit at a cost that is one-third of other options.
Este documento convida parceiros da UNIMEP e do IAR para participarem de um workshop sobre Indústria 4.0 que será realizado em 13 de junho de 2016 na UNIMEP. A programação inclui palestras sobre visões da Siemens, análise de fluxo de valor, manufatura avançada, pesquisa e desenvolvimento nesta área, programação robótica e aplicações do Google Glass na indústria.
Com produtos cada vez mais conectados e inteligentes o gerenciamento do ciclo de serviço se apresenta como uma das principais metodologias para controle, entendimento e satisfação do consumidor. Conheça um pouco mais sobre as soluções Siemens que irão revolucionar a nossa relação com os produtos que nos cercam.
O documento anuncia cursos de extensão universitária e pós-graduação em tecnologia mecânica na Faculdade de Tecnologia Mecatrônica da Escola Armando de Arruda Perreira em São Caetano do Sul, com início em 18 de julho de 2015, fornecendo contatos da secretaria e coordenação.
A Faculdade SENAI de Tecnologia Mecatrônica irá oferecer cursos de extensão universitária sobre a ferramenta de software NX da Siemens para modelagem 3D, montagem de conjuntos, usinagem de superfícies complexas e simulação de engenharia; os cursos poderão ser aproveitados para a obtenção de um título de pós-graduação e ajudar profissionais a adquirir novas competências.
The document discusses NX Automotive Supplier bundles which provide automotive design tools using NX software. The bundles are prepackaged and competitively priced in three tiers - Entry, Engineering and Advanced Engineering bundles. Each tier provides a complete solution with increasingly advanced design capabilities. The bundles include tools for modeling, drafting, validation, sheet metal design, routing, simulation and data management to support automotive design processes.
For manufacturing companies, controlling product costs is essential for competitiveness. Teamcenter software provides an integrated platform for managing costs throughout the entire product lifecycle. It enables cost analysis and optimization early in development when changes have the greatest impact. Teamcenter offers standardized costing methods, cost models, and transparency into cost drivers to help companies meet cost targets and maximize profits.
Leia este estudo de caso, oferecido pela Siemens PLM Software, para dar o próximo passo em direção a tomada de decisões mais inteligentes e a construção de melhores produtos.
O documento discute a importância da excelência no projeto para o produto final, propondo uma plataforma PLM para melhoria contínua através da integração entre as etapas de projeto, produção, lançamento e medição. A força de trabalho pode mudar de reativa para preditiva com a definição adequada do processo e do projeto de produto. Contatos para obter mais informações são fornecidos no final.
Veja com a Integradora Magna Steyr Introduziu um novo carro em uma linha existente sem causar impacto validando digitalmente a linha antes de qualquer alteração utilizando o Tecnomatix.
O Solid Edge ST6 traz diversos aprimoramentos para melhorar a experiência de modelagem síncrona, projeto de superfícies estilizadas, componentes de chapa metálica e montagens complexas, permitindo que empresas projetem produtos melhores e concluam projetos de forma mais rápida.
Este treinamento ensina como migrar do ambiente ordered para a tecnologia síncrona utilizando o Solid Edge ST6 em 8 horas. O curso ensina os conceitos básicos da tecnologia síncrona, modelagem, modificação simultânea de peças e geração de detalhes no Solid Edge ST6.
A Comil Ônibus implementou soluções da Siemens PLM para integrar suas engenharias de desenvolvimento e produto, centralizando atividades em um único ambiente e otimizando fluxos de trabalho. Isso reduziu o tempo de projeto em mais de 50% e erros em 70%, dobrando a produtividade sem aumentar a equipe.
The document summarizes new capabilities in Siemens' Tecnomatix digital manufacturing software release 11, including improvements to manufacturing process planning, work instructions, layout planning, and dimensional variation analysis. Key enhancements allow users to more efficiently plan manufacturing processes, validate designs for manufacturability earlier, integrate process data with the shop floor, and reduce dimensional variation. The software supports smart, fast, lean manufacturing.
Veja como é possível programar robôs de maneira fácil e pratica utilizando o RobotExpert da Siemens PLM. Todas as tarefas de pick and place, solda a arco, polimento entre outras podem ser estudados e otimizados de maneira offline ao robô, e so depois de validadas entregues na linha.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.