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Released our 16th whitepaper in #ESG making our emotions a tradable asset class, connecting our alignment with #sustainability to deliver significantly more social impact, communities with high levels of traction & greater funding of the things that matter https://arborsolution.earth/arbor-whitepaper-202404/
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#Digital Twin Consortium#DigitalTwin#Innovation#TechStandards#DigitalTransformation#electronicsnews#technologynews
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#autonomousdrivingtechnology#autonomousvehicletechnology#AutonomousVehicles#DassaultSystemes#digitaltwin#Futurride#ride-hailing#robocars#robotaxi#self-drivingcars#self-drivingvehicles#sustainablemobility#Tesla#Waymo
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Boost AI Workflow: See Dell Precision Workstations in Action
Dell Precision Workstations in AI
This era of AI-driven organisational transformation offers many interesting new opportunities. From efficiency improvements to new user experiences, AI is transforming several sectors. Dell Technologies World 2024 is the perfect place to see this amazing marvel.
Now let’s move on to the demonstrations.
Digital Concierge Assistant
This isn’t your normal helper for an event. With the use of AI LLMs, speech-to-text, and real-time 3D graphics technologies, digital assistants are painstakingly designed to provide you individualised support, respond to your AI queries, and improve your overall attendance experience. Significant AI and graphics processing power is needed to create this experience, and the dual NVIDIA RTX 6000 Ada GPU-equipped Dell Precision 7875 Tower provides it.
However, what is a digital assistant exactly?
Consider digital assistants as a cross between cutting edge technology and human-like communication. They are lifelike visual representations brought to life by advanced rendering techniques, not just chatbots. Imagine being able to navigate the event with ease, all while having a friendly concierge who appears as a 3D figure on a monitor.
The two components of this digital assistant demo are user interaction with the assistant and an overview of the “back office” that provides the assistant’s functionality. You’ll get a peek into how Dell feed content into the digital assistant using retrieval-augmented generation during the “training” phase of AI models.
The future of customer service, support, and event concierge services lies with digital assistants. They skillfully blend information, AI technology, and a hint of endearing humanness. So, look for Dell’s digital assistant at Dell Technologies World, pose any queries, and take in the wonder!
Generate Gen AI Images at Scale Using IP Protection
Within the dynamic realm of creative content creation, businesses are always looking for novel approaches that combine state-of-the-art technology with smooth workflows. This presentation demonstrates how Invoke, powered by the Dell Precision 5690 mobile workstation, revolutionises creative pipelines by integrating with NVIDIA AI Workbench, a development environment for exploration, testing, and prototyping of AI and machine learning workloads.
You will also see how Invoke, NVIDIA, and Dell incorporate AI technology into creative pipelines so that businesses can use prompts to create beautiful photos or improve text-to-image content. With its single canvas, IP protection, and optimised processes, Invoke transforms the process of creating visual content while guaranteeing complete ownership of intellectual property.
The future of creating visual content could be drastically changed by the combination of Invoke, AI Workbench, and Dell Precision AI-ready workstations. Get ready to see the dawn of a new creative age when IP protection is still crucial but technology enhances human inventiveness.
Discover GenAI in Real-Time with Streaming Diffusion
Dell Precision 7960
Enter the world of streaming diffusion at Dell’s Modern Workplace event expo, where four NVIDIA RTX 6000 Ada Generation GPUs in a Dell Precision 7960 enable creativity and technology meet.
Imagine having your reality streamed in real time onto a 75-inch screen as artificial intelligence creates a magical environment around you, transporting you to the fabled city of Atlantis, the verdant embrace of a rain forest, or a nostalgic trip back to 1984. Put on amusing headgear, embrace your inner star with chic shades, and experiment with the prompts to quickly share your experience with a QR Code on social media.
An amazing experience is promised by this trip above the norm!
Dell Precision 3280
Sometime in the not-too-distant future, something extraordinary happens in the sacred corridors of the smart hospital. This is where innovative technology and humane care come together to create a game-changing idea: the Digital Twin Simulation, which is powered by the Dell Precision 3280, the smallest workstation in the world with support for Tensor Core GPUs with NVIDIA RTX 4000 Ada Generation GPU.
In the near future, compassion and innovation will be the smart hospital’s greatest assets.
And at the centre of it all is NVIDIA Omniverse, where innovators craft a tasteful fusion of algorithms and empathy. Digital twins of operating rooms and labour and delivery rooms come to life within its walls. Wearing augmented reality glasses, nurses traverse surroundings abundant with data. The dance of life is arranged by the foetal monitor.
Put on an Oculus VR headset and explore the Digital Twin Simulation to get a firsthand look at the smart hospital of the future.
Are You Prepared to Take Off with AI?
Within the thrilling field of artificial intelligence, where creativity and accuracy meet, Dell Technologies is arranging a symphony of opportunities supported by fundamental security and manageability. With best-of-breed infrastructure, Dell’s partnership with NVIDIA enables organisations to fully realise the potential of AI, from unmatched performance to customisable pretrained models. Dell cordially invite you to join Dell in creating a future where artificial intelligence (AI) transcends all boundaries and is powered by Dell Precision workstations and an unwavering pursuit of excellence.
Come along with Dell in Las Vegas from May 20–23, 2024, as Dell set off on an AI journey unlike any other. Dell’s grand stage, Dell Technologies World, is where Dell show off AI live and uncensored on Dell’s entire lineup of Precision workstations. Dell don’t simply talk about it.
For more details Govindhtech.com
#TechNews2024#technologynews#technology#Technologytrends#TechNews#news#Dell#DellPrecision#dellprecision7960#dellprecision3280#digitaltwin#nvidia#NvidiaRTX#NVIDIAOmniverse#AI
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3D Simulation Software Market Dynamics: Trends, Innovations, and Future Prospects| GQ Research
The 3D Simulation Software market is set to witness remarkable growth, as indicated by recent market analysis conducted by GQ Research. In 2023, the global 3D Simulation Software market showcased a significant presence, boasting a valuation of US$ 14.54 billion. This underscores the substantial demand for 3D Simulation Software technology and its widespread adoption across various industries.
Get Sample of this Report at: https://gqresearch.com/request-sample/global-3d-simulation-software-market/
Projected Growth: Projections suggest that the 3D Simulation Software market will continue its upward trajectory, with a projected value of US$ 39.63 billion by 2030. This growth is expected to be driven by technological advancements, increasing consumer demand, and expanding application areas.
Compound Annual Growth Rate (CAGR): The forecast period anticipates a Compound Annual Growth Rate (CAGR) of 15.4%, reflecting a steady and robust growth rate for the 3D Simulation Software market over the coming years.
Technology Adoption:
The adoption of 3D simulation software has experienced a remarkable surge across industries, driven by its transformative potential in virtual prototyping, product design, and process optimization. From manufacturing and architecture to healthcare and entertainment, industries are embracing 3D simulation as a means to visualize, analyze, and refine complex systems and environments. As businesses seek to mitigate risks, reduce costs, and accelerate innovation, the demand for 3D simulation software continues to grow, with widespread adoption expected to continue as the technology evolves.
Application Diversity:
The application diversity of 3D simulation software spans a myriad of industries and use cases, reflecting its versatility and utility across various domains. In manufacturing, these software solutions are utilized for virtual prototyping, production line optimization, and predictive maintenance, enabling manufacturers to streamline operations and enhance efficiency. In architecture and construction, 3D simulation facilitates architectural visualization, structural analysis, and urban planning, empowering designers and planners to create immersive, lifelike environments. Moreover, in healthcare, automotive, aerospace, and gaming industries, 3D simulation software is leveraged for training, simulation, and immersive experiences, showcasing its broad applicability and impact.
Consumer Preferences:
Consumer preferences in the 3D simulation software market are influenced by factors such as usability, functionality, compatibility, and support services. Businesses prioritize software solutions that offer intuitive interfaces, robust features, and seamless integration with existing workflows and systems. Additionally, reliability, accuracy, and scalability are critical considerations, particularly for enterprises seeking to deploy 3D simulation software across diverse projects and teams. As businesses demand greater flexibility, customization options, and responsive customer support, software providers are focusing on enhancing user experiences and delivering value-added services to meet evolving consumer preferences.
Technological Advancements:
Continuous technological advancements drive innovation in the 3D simulation software market, enabling providers to push the boundaries of realism, interactivity, and performance. Advances in computer graphics, physics simulations, and artificial intelligence algorithms enable more realistic and immersive simulations, blurring the lines between virtual and physical environments. Furthermore, the integration of cloud computing, big data analytics, and machine learning capabilities enhances simulation accuracy, scalability, and predictive capabilities. As software providers invest in research and development, the latest generation of 3D simulation software offers unprecedented levels of realism, efficiency, and versatility, empowering businesses to unlock new insights and opportunities.
Market Competition:
The 3D simulation software market is characterized by intense competition among established players and emerging contenders seeking to differentiate themselves through innovation and market positioning. Leading software providers invest heavily in product development, partnerships, and marketing efforts to maintain their market leadership and expand their customer base. Meanwhile, startups and niche players focus on specialized applications or disruptive technologies to carve out their market niche. As competition intensifies, software providers are exploring new markets, industries, and use cases to capitalize on the growing demand for 3D simulation solutions.
Environmental Considerations:
Environmental considerations are increasingly important in the 3D simulation software market, with providers and users alike seeking sustainable solutions that minimize environmental impact. Software providers prioritize energy-efficient algorithms, optimized code, and cloud-based deployments to reduce energy consumption and carbon emissions. Additionally, by enabling virtual prototyping and simulation, 3D simulation software helps businesses minimize material waste, energy consumption, and environmental footprint associated with physical prototypes and testing. Moreover, remote collaboration and telecommuting enabled by 3D simulation software contribute to reducing transportation-related emissions and fostering a more sustainable work environment.
Regional Dynamics: Different regions may exhibit varying growth rates and adoption patterns influenced by factors such as consumer preferences, technological infrastructure and regulatory frameworks.
Key players in the industry include:
Autodesk, Inc.
Dassault Systèmes
Siemens Digital Industries Software
ANSYS, Inc.
Altair Engineering, Inc.
Bentley Systems, Incorporated
PTC Inc.
MSC Software Corporation
COMSOL, Inc.
Synopsys, Inc.
MathWorks
ESI Group
Blender Foundation
Unity Technologies
The AnyLogic Company
The research report provides a comprehensive analysis of the 3D Simulation Software market, offering insights into current trends, market dynamics and future prospects. It explores key factors driving growth, challenges faced by the industry, and potential opportunities for market players.
For more information and to access a complimentary sample report, visit Link to Sample Report: https://gqresearch.com/request-sample/global-3d-simulation-software-market/
About GQ Research:
GQ Research is a company that is creating cutting edge, futuristic and informative reports in many different areas. Some of the most common areas where we generate reports are industry reports, country reports, company reports and everything in between.
Contact:
Jessica Joyal
+1 (614) 602 2897 | +919284395731
Website - https://gqresearch.com/
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#3Dsimulations#VirtualReality#SimulationTech#AugmentedReality#DigitalModeling#InteractiveSimulations#ImmersiveExperience#3DVisualization#SimulatedWorld#VRTraining#DigitalSimulation#3DModeling#VirtualTraining#SimulatedReality#VRDevelopment#SimulationSoftware#ImmersiveSimulations#DigitalTwin#VRSimulation#3DInteractiveExperience
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Unlocking Success: Principles for Effective Supply Chain Network Design
Originally Published on: SpendEdge |Unlocking Success: Principles to Guide Effective Supply Chain Network Design
In the ever-evolving landscape of global trade, where goods traverse continents and supply routes span the globe, lies the heartbeat of every thriving enterprise: the supply chain. Yet, within this intricate web of logistics, inventory management, and strategic decision-making, lies both the promise of prosperity and the peril of inefficiency.
#SupplyChainOptimization #OperationalExcellence
Unveiling the Importance of Supply Chain Network Design
Visualize a seamless flow of goods, meticulously orchestrated to minimize costs, maximize efficiency, and deliver products to eager consumers precisely when and where they’re needed. This is the vision propelling supply chain network optimization – the pursuit of optimal efficiency amid a sea of complexity.
But why does it matter? In today’s fast-paced, hyper-connected world, where market dynamics shift at the blink of an eye, a well-coordinated supply chain isn’t just a competitive advantage – it’s a survival imperative. From reducing costs and enhancing visibility to mitigating risks and seizing opportunities, the stakes have never been higher.
#GlobalCommerce #OperationalEfficiency
Navigating the Labyrinth: Understanding Supply Chain Network Design
Understanding the significance of supply chain network design is paramount in modern business landscapes. Research suggests that a significant portion of supply chain expenses are established during the initial design phase. Neglecting this crucial aspect can lead to significant financial repercussions and hinder long-term success.
When examining the intricacies of a global supply chain network – its pathways, timelines, associated costs, and revenue streams – numerous critical inquiries emerge. Questions such as: Why are our sole suppliers located overseas? What drives the proliferation of warehouses, and why are they situated in specific locations? Why does excess inventory persist, and what prompts the continuous influx of orders? Why do freight and transportation expenses remain exorbitant? Assessing the efficiency of the current network design becomes imperative.
Moreover, scrutinizing whether the supply chain aligns with sustainability objectives is vital. Is the design conducive to minimizing environmental impact and optimizing resource utilization? Addressing these inquiries is pivotal for enhancing operational efficiency and achieving long-term sustainability goals.
#SupplyChainEfficiency #SustainabilityGoals
Factors to Consider While Designing a Supply Chain Network Model
When embarking on the design of a supply chain network model, several crucial factors must be considered to ensure its effectiveness and alignment with organizational objectives. Here’s a breakdown of key considerations:
Define Objectives: Clearly articulate the objectives of the supply chain design, ensuring alignment with broader enterprise goals. Consider factors such as capacity constraints, inventory management strategies, lead times for replenishment, customer service level requirements, and the strategic positioning of facilities and sources.
Data Collection: Gather comprehensive data including historical performance metrics, forecasts, market trends, and customer demand patterns. This data serves as the foundation for informed decision-making throughout the design process.
Utilize Optimization Tools: Employ advanced network optimization tools and software to develop a dynamic model of the supply chain. These tools allow for the incorporation of various parameters, constraints, and scenarios to create a robust and adaptable framework.
Build a “Living” Model: Develop a flexible and iterative model that can evolve with changing business dynamics. Incorporate real-time data feeds and feedback mechanisms to ensure the model remains responsive to market shifts and internal changes.
Validation through Scenarios: Validate the effectiveness of the model by running simulated “what-if” scenarios based on historical data and known outcomes. This validation process helps identify potential bottlenecks, vulnerabilities, and areas for improvement within the proposed network design.
Finalize and Implement: Once the model has been thoroughly validated and refined, finalize the supply chain network design and proceed with its implementation. Collaborate closely with stakeholders across departments to ensure smooth integration and alignment with existing operational processes.
By systematically addressing these factors, enterprises can develop a robust and optimized supply chain network model that effectively supports their strategic objectives and adapts to evolving market dynamics.
#SupplyChainModeling #OperationalFlexibility
The Power of a Digital Twin: Revolutionizing Supply Chain Management
A Digital Twin represents a virtual replica of an entire value chain, leveraging real-time or near-real-time data from multiple sources to mirror all essential relationships and functions. By utilizing a Digital Twin, organizations gain the ability to explore a multitude of variables affecting supply chain network design within a secure and controlled environment, prior to making actual operational decisions.
Moreover, when coupled with a Prescriptive Analytics Platform, a Digital Twin transcends predictive capabilities, offering insights into optimal courses of action. It empowers leaders to navigate through various factors, filter out impractical scenarios, assess trade-offs, quantify associated risks, and identify the most suitable path to achieve predefined objectives.
In essence, the integration of a Digital Twin into supply chain management facilitates more successful network design endeavors, resulting in enhanced financial and operational performance. This holds particularly true when transitioning from conventional tools traditionally used in such contexts.
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Navigating the Landscape of Simulation Software Solutions in Industry 4.0 and Beyond
The global simulation software market size is estimated to reach USD 51.11 billion by 2030, registering a CAGR of 13.6% from 2024 to 2030, according to a new study by Grand View Research, Inc. Simulation software is being used for training personnel. It is replacing the traditional real-time training techniques, which incurred huge investments annually for companies. The use of simulation for training purposes helps reduce training costs as companies need to make a one-time investment for software implementation. The software also helps enterprises minimize production costs by enhancing the product development process.
Simulation Software Market Report Highlights
The market is being driven by reduced training costs for personnel in various industries and sectors, such as automotive, defense, healthcare, and electrical
The service segment is expected to register a CAGR of 15.0% owing to the growing demand for customized simulation solutions, such as design and consulting
The cloud-based segment is expected to register the fastest CAGR of approximately 15.4% over the forecast period owing to benefits, such as easy and low-cost implementation
The automotive segment dominated the market in 2023 and is expected to hold a major share by 2030 owing to the early adoption of virtual testing tools in the automotive industry
North America is expected to account for the highest market share followed by Asia Pacific, by 2030 owing to the growing investments in R&D and defense in countries, such as the U.S.
Leading players are focusing on developing new simulation software solutions, to capture maximum share
For More Details or Sample Copy please visit link @: Simulation Software Market Report
The need for developing prototypes and the chances of product failure are considerably reduced through the use of simulators, as the product is virtually tested for all possible glitches before the commencement of production. Furthermore, simulation-based tools help product developers reduce the time spent on R&D processes as it enables them to obtain a realistic view of a product or process under study or review. Organizations across the globe are increasingly implementing the program and analyzing tools to enhance the entire product development cycle, reduce time to production, ensure delivery of high-quality products in minimal time, and reduce the overall cost to the company with respect to R&D.
It requires a skilled workforce or personnel with the required knowledge and understanding. This is leading to several manufacturers being reluctant to adopt this technology as the need for a skilled workforce incurs additional costs. The COVID-19 pandemic had an adverse impact on the global market. The closure of national and international borders in major countries, such as China, Japan, and India, has caused severe supply chain disruptions. In addition, the temporary shutdown of manufacturing operations has led manufacturing companies to face severe budgetary issues, resulting in delayed subscription renewal payments during the pandemic’s initial phase. However, recovering economies and opening businesses are expected to help the market grow at a rapid pace over the forecast period.
#SimulationSoftwareMarket#VirtualModeling#IndustrySimulation#DigitalTwin#VirtualPrototyping#TrainingSimulation#EducationalTechnology#Industry4.0#TechnologyAdvancements#SimulationSolutions
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Digital Twin Market, Overview, Growth, Demand and Forecast to 2024-2030
The global digital twin market is a dynamic and innovative landscape situated at the intersection of technology and industry. This technology involves the creation of virtual replicas or models of physical assets, systems, or processes, allowing for real-time simulations, monitoring, and analysis. Its remarkable growth stems from its widespread applications across sectors like manufacturing, healthcare, automotive, aerospace, and smart cities. Digital twins provide valuable insights into the performance, behavior, and predictive analytics of physical assets, thus enhancing operational efficiency and facilitating data-driven decision-making.
North America, particularly the United States, spearheaded the digital twin market, buoyed by substantial investments in technology and innovation. Key industries such as manufacturing, healthcare, and aerospace embraced digital twin technology for predictive maintenance, product development, and operational enhancement. The region's advanced technological infrastructure and a thriving ecosystem of tech companies played pivotal roles in its market dominance.
In Europe, countries like the United Kingdom, Germany, and France showcased active adoption of digital twin technology across diverse sectors including manufacturing, automotive, and smart infrastructure. Europe's focus on Industry 4.0 initiatives, coupled with its robust manufacturing foundation, drove the widespread adoption of digital twins for streamlining production processes and enhancing operational efficiency.
To Know Global Scope and Demand of Veterinary Video Endoscopy Market.Request for Sample PDF:
*𝗕𝘆 𝗧𝘆𝗽𝗲:
System Twin Process Twin Asset Twin
*𝗕𝘆 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻:
Aerospace and Defense Automotive and Transportation Machine Manufacturing Energy and Utilities Others
*𝗕𝘆 𝗥𝗲𝗴𝗶𝗼𝗻: North America, Europe, Asia-Pacific, South America, Middle East & Africa
*𝗕𝘆 𝗞𝗲𝘆 𝗣𝗹𝗮𝘆𝗲𝗿𝘀: General Electric, PTC, Siemens, Dassault Systèmes, IBM Corporation, ANSYS, Microsoft Corporation, Oracle Corporation, Accenture (Mackevision), SAP, AVEVA Group
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Digital human.Valentine's Day 2024- For girls and boys_Part1-Trailer
Description: Full video Patreon- PremiereFantasy. No membership. Charge per creation.
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Revving Up Industry: The #Metaverse Takes Manufacturing to the Next Level
With industry giants predicting a skyrocketing market of $170.12 billion by 2030, the question isn't if, but how, businesses can leverage this game-changer.
The #industrialmetaverse creates virtual replicas of entire production lines, from machinery to workflows. This opens a door to unparalleled insights and control. #BlockchainAppsDeveloper integrate #metaversetechnologies into existing industrial software solutions,
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The Evolution of Industrial Manufacturing Companies: Adapting to the Digital EraIndustrial
Industrial manufacturing companies have long stood as pillars of economic growth and technological advancement. These entities are integral to the production of goods, infrastructure development, and the creation of employment opportunities worldwide. Over time, these companies have navigated through various eras of the Industrial Revolution, adapting to changing technologies, market demands, and global trends. Today, the digital era presents a new set of challenges and opportunities for industrial manufacturing companies, urging them to embrace innovation and transformation to stay competitive in a rapidly evolving market.
Evolution through Industrial Revolutions:
1. First Industrial Revolution – Mechanization and Steam Power
During the 18th and 19th centuries, the First Industrial Revolution marked the shift from hand production methods to machinery, powered primarily by steam engines. Industries such as textiles, iron, and coal mining saw substantial transformations, setting the foundation for modern manufacturing practices.
2. Second Industrial Revolution – Mass Production and Electricity
Advancements in the late 19th and early 20th centuries brought forth the Second Industrial Revolution. Electricity, assembly lines, and mass production techniques revolutionized manufacturing, leading to increased productivity and the rise of large-scale factories.
3. Third Industrial Revolution – Automation and Computers
The latter half of the 20th century witnessed the Third Industrial Revolution, characterized by the integration of electronics, IT, and automation into manufacturing processes. Computers, robotics, and programmable logic controllers (PLCs) redefined production methods, streamlining operations and enhancing precision.
4. Fourth Industrial Revolution – Industry 4.0 and Digitalization
The ongoing Fourth Industrial Revolution, often termed Industry 4.0, emphasizes the convergence of physical and digital technologies. This era is marked by interconnected systems, IoT (Internet of Things), AI (Artificial Intelligence), machine learning, big data analytics, and cyber-physical systems, transforming traditional manufacturing into smart, data-driven processes.
Challenges Faced by Industrial Manufacturing Companies in the Digital Era:
1. Technological Integration:
Adopting and integrating advanced technologies into existing infrastructures pose challenges regarding compatibility, cybersecurity, and workforce upskilling. Industrial manufacturing Companies must invest in R&D and training to leverage these innovations effectively.
2. Data Management and Security:
With increased connectivity and data collection, the challenge lies in managing vast amounts of data securely. Cybersecurity threats are a growing concern, requiring robust systems to safeguard sensitive information.
3. Changing Consumer Expectations:
Consumer demands for customization, faster delivery, and sustainable products are reshaping manufacturing processes. Flexibility and agility are essential to meet these evolving preferences.
4. Global Competition and Supply Chain Disruptions:
Globalization has intensified competition while exposing vulnerabilities in supply chains, as seen during recent disruptions like the COVID-19 pandemic. Companies need resilient, adaptable supply chains to mitigate risks.
Embracing Opportunities and Innovations:
1. Implementing Smart Manufacturing Practices:
Leveraging IoT sensors, AI-driven predictive maintenance, and real-time analytics, industrial manufacturing companies can optimize production processes, minimize downtime, and enhance quality.
2. Adoption of Additive Manufacturing (3D Printing):
3D printing technology offers the flexibility to produce complex components on demand, reducing waste and inventory while enabling rapid prototyping and customization.
3. Focus on Sustainability and Green Manufacturing:
Embracing eco-friendly practices and renewable energy sources not only reduces environmental impact but also resonates with a growing segment of environmentally conscious consumers.
4. Investing in Talent and Skill Development:
Addressing the skills gap through training programs and partnerships with educational institutions is crucial for a workforce capable of operating and optimizing digitalized manufacturing systems.
Enhancing Connectivity and Interoperability:
1. Embracing Interconnectivity:
Industrial IoT and interconnected devices facilitate seamless communication between machinery, systems, and stakeholders. This interconnectedness optimizes operations, enhances collaboration, and enables real-time decision-making.
2. Standardization and Interoperability:
Adopting common standards for communication protocols and interoperability frameworks is crucial for ensuring compatibility across diverse technologies and equipment, fostering a more cohesive and efficient manufacturing ecosystem.
Advanced Robotics and Automation:
1. Collaborative Robotics (Cobots):
Integration of collaborative robots alongside human workers streamlines tasks, improves safety, and boosts efficiency. These robots are designed to work in close proximity to humans, aiding in intricate or repetitive tasks.
2. Autonomous Systems:
The deployment of autonomous systems, including self-driving vehicles for material movement and drones for inventory tracking and inspection, optimizes logistics and enhances operational efficiency.
Digital Twin Technology:
1. Simulation and Modeling:
Digital twin technology creates virtual replicas of physical assets, enabling predictive analysis, scenario testing, and optimizing manufacturing processes without disrupting actual operations.
2. Lifecycle Optimization:
By monitoring and analyzing real-time data from the digital twin, companies can improve product development, optimize performance, and predict maintenance needs, leading to cost savings and improved product quality.
Reshaping Business Models:
1. Servitization and Product-as-a-Service (PaaS):
Shifting from a traditional product-centric model to offering services or outcomes allows companies to forge closer relationships with customers, providing solutions rather than just products.
2. Circular Economy Initiatives:
Adopting circular economy principles by reusing, refurbishing, or recycling products and materials contributes to sustainability goals while opening new revenue streams through reverse logistics and remanufacturing.
Regulatory and Ethical Considerations:
1. Compliance and Ethical Use of Data:
Navigating regulatory frameworks regarding data privacy, intellectual property rights, and ethical AI usage is essential. Companies need to uphold ethical standards while harnessing the power of data-driven technologies.
2. Sustainability Regulations:
Adhering to evolving environmental regulations and sustainability standards becomes paramount. Companies must align their practices with these regulations to meet market expectations and ensure long-term viability.
Conclusion:
The evolution of industrial manufacturing companies in the digital era transcends technological advancements; it encompasses a holistic transformation in business strategies, operational paradigms, and societal responsibilities. Embracing connectivity, advanced robotics, digital twin technology, innovative business models, and ethical considerations defines a new era of manufacturing excellence. As these entities navigate the complexities of the digital age, their ability to harness these opportunities while addressing challenges will determine their resilience and success in shaping a sustainable and technologically advanced future.
Also Read: The Evolving Landscape of Manufacturing Jobs: Opportunities and Challenges
#IndustryEvolution#digitaltransformation#sustainability#smartfactories#DataDrivenManufacturing#greentechnology#digitaltwin
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Master Robotics Development with NVIDIA Isaac Sim
NVIDIA Isaac Sim
NVIDIA and university experts are working together to prepare robots for surgery.
Researchers from the University of Toronto, UC Berkeley, ETH Zurich, Georgia Tech, and NVIDIA created ORBIT-Surgical, a simulation framework for training robots that could improve surgical teams’ abilities while lightening the cognitive load on surgeons.
It supports over a dozen manoeuvres, including grabbing small objects like needles, transporting them from one arm to another, and precisely putting them, that are modelled after the training curriculum for laparoscopic procedures, also known as minimally invasive surgery.
NVIDIA Isaac Sim, a robotics simulation platform for creating, honing, and testing AI-based robots, was used to build the physics-based framework. In order to allow photorealistic rendering, the researchers used NVIDIA Omniverse, a platform for creating and implementing sophisticated 3D applications and pipelines based on Universal Scene Description (OpenUSD), totrain imitation and reinforcement learning algorithms on NVIDIA GPUs.
At this week’s IEEE International Conference on Robotics and Automation (ICRA) in Yokohama, Japan, Today, ORBIT-Surgical will be presented. You may now get the open-source code package on GitHub.
AI’s Stitch Saves Nine
The foundation of ORBIT-Surgical is Isaac Orbit, a modular robot learning framework based on Isaac Sim. Several libraries for imitation learning and reinforcement learning which educate AI agents to imitate real-world expert examples are supported by Orbit.
Da Vinci Research Kit
With the surgical framework, developers may use reinforcement learning and imitation learning frameworks running on NVIDIA RTX GPUs to train robots, such as the da Vinci Research Kit robot, or dVRK, to manipulate both hard and soft things.
More than a dozen benchmark activities are introduced by ORBIT-Surgical for surgical training, including one-handed tasks like raising a suture needle to a precise location, placing a shunt into a blood vessel, and picking up a piece of gauze. It also includes two-handed activities such as putting a threaded needle through a ring pole, passing a needle between two arms, and stretching two arms to designated locations while avoiding obstructions.
In comparison to current surgical frameworks, the team is able to increase robot learning time by an order of magnitude by creating a surgical simulator that leverages GPU acceleration and parallelization. On a single NVIDIA RTX GPU, they discovered that the robot digital twin could be trained to perform activities like lifting a suture needle and inserting a shunt in less than two hours.
Because rendering in Omniverse provides visual realism, ORBIT-Surgical enables researchers to produce high-fidelity synthetic data that may be used to train AI models for perceptual tasks like identifying surgical instruments in real-world footage taken in operating rooms.
The team’s proof of concept demonstrated how integrating simulation and actual data enhanced an AI model’s ability to distinguish surgical needles from photos, hence lowering the requirement for big, costly real-world datasets for model training.
ICRA
Papers at ICRA authored by NVIDIA
Many will be talking about geometric fabrics at the IEEE International Conference on Robotics and Automation (ICRA), which is being held in Yokohama, Japan, from May 13–17. One of the seven publications that members of the NVIDIA Robotics Research Lab and their collaborators have submitted addresses that topic.
Geometric fabrics: what are they?
Trained policies in robotics are inherently approximative. While they generally act appropriately, on occasion they may move the robot too quickly, bump into objects, or jerk it around. One may never be certain of what might happen.
Therefore, when trained policies, particularly those trained through reinforcement learning, are applied to a physical robot, a layer of low-level controllers is used to intercept the policy’s commands. After that, they convert the orders to meet the hardware’s constraints.
Run those controllers with the policy while you’re training RL policies. The researchers discovered that vectorizing those controllers to make them available for use during training and deployment was a special feature that could be provided with their GPU-accelerated RL training tools.This study aims for that.
Humanoid robot businesses, for instance, might showcase demonstrations of their devices using low-level controllers that not only maintain the robot’s balance but also prevent it from running its arms into itself.
The controllers that were vectorized by the researchers come from their previous work on geometric fabrics. At the previous year’s ICRA, the paper Geometric Fabrics: Generalising Classical Mechanics to Capture the Physics of Behaviour, took home the best paper prize.
Surgical Orbit
NVIDIA Isaac Sim powers photorealistic rendering in ORBIT-Surgical, a physics-based surgical robot simulation framework running on the NVIDIA Omniverse platform.
In order to train imitation learning and reinforcement learning algorithms that support the research of robot learning to supplement human surgical skills, GPU parallelization is utilised. It also makes it possible to generate synthetic data for active perception tasks that is realistic. The researchers show off the sim-to-real transfer of learnt policies onto a real dVRK robot utilising ORBIT-Surgical.
Upon publication, the underlying ORBIT-Surgical robotics simulation application will be made available as a free, open-source package.
Visit ICRA to meet NVIDIA Robotics partners
At ICRA, NVIDIA robotics partners are showcasing their most recent innovations.
Based in Zürich Introducing ANYmal Research, a whole software suite from ANYbotics that gives customers access to low-level controls all the way down to the ROS system. Hundreds of academics from leading robotics research institutes, including as the University of Oxford, ETH Zürich, and the AI Institute, are part of the community known as ANYmal Research. (Handle IC010)
Munich-based Franka Robotics showcases their work using the Franka toolkit for Matlab and NVIDIA Isaac Manipulator, an AI companion powered by NVIDIA Jetson that powers robot control. (Handle IC050)
Read more on govindhtech.com
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Palestra muito interessante do Renato Castro sobre #metaverso e a junção das 3 principais economias que já estão moldando o novo mundo. #economiacriativa #economiadocompartilhamento #economiacircular #digitaltwin
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BIM's Pivotal Role in the Digital Twin Landscape
🌐✨ Unlocking the Future: Embracing the Power of BIM and Digital Twins! 🚀🔗 Dive into our latest blog post as we explore the transformative impact of Building Information Modeling (BIM) and Digital Twins on the modern landscape. 🏗️🌐 Discover how these technologies are reshaping industries, enhancing collaboration, and paving the way for a smarter, more connected future. 🔄🔍 Ready to take your understanding to the next level? Click the link below and join us on a journey into the world of digital innovation! 🚀👩💻
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