Loc Man Tang

My drones brings all the prints to the yard

Recently a team of researchers has proven that a team of autonomous drones can work independently to print ánd build (!) (BBC, 2022). Materials needed for the construction or reparation of buildings. These drones, called the Aerial Additive Manufacturing (Aerial-AM), are fully autonomous and use a blueprint as the basis of their 3D printing process. This foundation lets the drones know exactly what to print, where to go, and how to place the printed materials. They would then essentially operate just like bees where each individual drone has a specific purpose and role within the project, but unlike bees the drones are flexible and could change tasks on the fly. The drones have been tested in the laboratory under controlled conditions, where they could manufacture accurately within “five millimeters”. The printing was done using mixes of four types of cement. The researchers explain that further research is needed in collaboration with construction companies and practical use cases to test the drones capabilities in more realistic settings.

Look! Up in the sky! It’s a bird! It’s a plane!

I think the advent of drones capable of 3D printing construction materials can be of tremendous benefit. Drones would be able to reach hard to reach places which could be dangerous as well, not just because of the place’s location, but also weather conditions, for example. A drone is not at risk of slipping and falling of a 500 meters building. Less human labor is needed which will reduce bodily harm from physical labor, costs will probably decrease and revenues probably increase because projects have less downtime while also greater efficiency because drones know exactly what to do based on the blueprints. However, human expertise is still crucial, because they need to give inputs to the drone and make sure the drones do an actual good job.

Source

BBC. (2022, September). Flying 3D printer drones work like bees to fix buildings. Retrieved from bbc: https://www.bbc.com/news/uk-england-bristol-62993125

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To Be Sure That You’re Secure

Artificial Intelligence (AI) coupled with Big Data Analytics allows more data to be processed, analyzed and aggregated than any human will ever be able to do. This present us with unprecedented situations and possibly limitless boundaries with what we are able to do with data, how we use data, the insights we can gain, and the decisions which we can make based on these data.

Seeing as businesses and individuals are already using these technologies on a grand scale and looking to integrate the these technologies evermore, care must be taken to handle the security-related concerns which may arise (bsigroup, 2022). An example of this are ecossytems which eventually will emerge in the automotive industry where incumbents will use AI and Big Data with their value chain partners to gather, analyze, and leverage customer data to improve their value proposition towards customers based on their analyzed needs (Walton, 2019).

One Standard for AI and Big Data

An internationally agreed upon defined sets of standards defined by stakeholders such as field experts, specialists, and government institutions. This is what an iso certification entails. It helps to set boundaries and provide best practices to all industries available. The standards facilitate a way to internationally collaborate based on uniform principles for domains such as technologies, processes, and manufacturing to ensure that industry regulations, societal safety and ethical concerns will be met (bsigroup, 2022; Gasiorowski-Denis, 2019).

The benefits and uses for AI and Big Data

Knowing whether you can trust a partner and how they work fosters greater collaboration capabilities and innovations. Practical examples are the medical field where bias in AI for organ transplants will be limited and a more trustworthy selection process can ensue, developing AI applications, the assessment of machine learning classification performance, and the data life cycle of AI where the quality of governance and data measurements are also factored in (Gasiorowski-Denis, 2019; ISO/IEC TS 4213, 2022; iso, 2022).

Sources

bsigroup. (2022). How standards support emerging technologies. Retrieved from bsigroup: https://www.bsigroup.com/en-GB/standards/Information-about-standards/standards-and-new-business-areas/

Gasiorowski-Denis, E. (2019, November 11). Embracing the power of technology. Retrieved from iso: https://www.iso.org/news/ref2451.html

iso. (2022). Standards by ISO/IEC JTC 1/SC 42: Artificial Intelligence. Retrieved from iso: https://www.iso.org/committee/6794475/x/catalogue/p/0/u/1/w/0/d/0

ISO/IEC TS 4213. (2022, 10). Retrieved from iso: https://www.iso.org/standard/79799.html?browse=tc

Walton, B. (2019). Disruption in the automotive industry. Retrieved September 17, 2022, from https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/ConsumerIndustrialProducts/deloitte-uk-consumer-industrial-products-how-digital-is-changing-car-sales.pdf

On-The-Fly Lego’s: Drones with 3D printing capability

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