How Cellular Technology Enables Anti-Fire Drones

February 23, 2019

Unmanned Aerial Vehicles are already used for a multitude of applications, particularly where they can offer public value. Telefonica in collaboration with partners Dronitec, Divisek and the Intelligent Systems Lab, from Universidad Carlos III de Madrid, developed an anti-fire UAV solution to fight forest fires.

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Mark3D is your European partner for Markforged high-end 3D printers, materials, software and accessories. We will help you to find the right solution for your application from the range of composite and metal Markforged 3D printers. We are specialist consultants in additive design and manufacturing for strength critical applications and high strength, fibre reinforced 3D printed parts.

OTHER WHITEPAPERS
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SIMPLIFYING MODEL-BASED SYSTEMS ENGINEERING

whitePaper | June 23, 2022

Model-Based Systems Engineering (MBSE) is perhaps one of the most misunderstood and often abused acronyms in the engineering vernacular. Many companies struggle to understand how it will improve their entire product lifecycle and address the ever-increasing complexity of products. In many companies, executives and middle management experience a lack of understanding regarding the rapid pace of today’s technology and its impact on organizations and processes. Technical practitioners may gain additional insight as they focus their energies on establishing strong MBSE practices. The successful implementation of MBSE includes transformations and enhancements in three key areas: organization, process and technology. This white paper shares proper planning and implementation considerations in adopting an MBSE practice. It provides a high-level view, defines critical components to help success and identifies many problematic areas to avoid in an implementation journey.

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Introduction to the Construction Readiness Assessment

whitePaper | February 9, 2021

Construction projects have always faced pressure to begin early mobilization of the construction phase which can result in out-of-sequence work leading to cost and schedule overruns. The decision to proceed with construction requires a standard, objective process that easily identifies the gaps that must be addressed to achieve construction readiness and supports the decision of when to move forward. CII's Construction Readiness Assessment is a game-changer to guide project teams in achieving construction readiness with confidence. Their research shows that construction-ready projects outperform projects that are not ready with 20% better cost performance and 22% better schedule performance2.

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Why Deck 7

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

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AUTOMATION IN CONSTRUCTION

whitePaper | April 11, 2021

Automation in Construction is an international journal for the publication of original research papers. The journal publishes refereed material on all aspects pertaining to the use of Information Technologies in Design, Engineering, Construction Technologies, and Maintenance and Management of Constructed Facilities. The scope of Automation in Construction is broad, encompassing all stages of the construction life cycle from initial planning and design, through construction of the facility, its operation and maintenance, to the eventual dismantling and recycling of buildings and engineering structures.

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AI Data Engineering Lifecycle Checklist

whitePaper | May 12, 2022

Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on data. The more advanced forms of machine learning, especially deep learning neural networks, require significant amounts of data to be able to create models with acceptable levels of accuracy.

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AI Requires Tailored DRAM Solutions

whitePaper | April 6, 2020

For over 30 years, DRAM has continuously adapted to the needs of each new wave of hardware spanning PCs, game consoles, mobile phones and cloud servers. AI/ML may be the biggest challenge yet. Artificial intelligence is the study and application of providing hardware and software that attempt to emulate human intelligence. Therefore, as human beings adapt to different tasks, AI must adapt. Indeed, if AI is to scale to the diversity of human tasks, it will not be via a single, monolithic solution. For every task a human can perform, AI must adapt through a unique combination of hardware and software components.

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Mark3D

Mark3D is your European partner for Markforged high-end 3D printers, materials, software and accessories. We will help you to find the right solution for your application from the range of composite and metal Markforged 3D printers. We are specialist consultants in additive design and manufacturing for strength critical applications and high strength, fibre reinforced 3D printed parts.

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