Dr. Olubayo Adekanmbi, the Founder and Chief Executive Officer of Data Science Nigeria, stated that the practice of engineering, from the aspect of the transformative power of new technology, has been implored to enhance capacity for the usage of Artificial Intelligence (AI) in areas and aspects of product design, manufacturing and the building design. The Founder and Chief Executive Officer of Data Science Nigeria disclosed this information at a webinar titled “Generating anything with Artificial Intelligence: Building impactful solutions with large language models”.
The webinar was coordinated by the Nigerian Academy of Engineering (NAEng) and was held in Lagos. According to the announcement made by Adekanmbi on the interest of investors in generative AI, there have been an increase with an estimated $14.1 billion funding in 86 deals in 2023 which is above the 2019 funding worth $1.2 billion for 59 deals. Emphatically, architectural plans can be built and auto-generated by building developers and architects, depending on budgets, climate conditions and building location.
ChatGPT is a software that permits users to inquire questions.
In addition, he explained that the plans can be generated possibly through the building of design and AI applications in aspect of engineering. Furthermore, in relation to his statement, he made it known that generative AI can be deployed by professionals with required capacity and skills to assist and enhance the skills of the engineers and further aid the project developers to use and optimise the facilities, such as, water systems, heat pumps, the build-out of solar farms and many other infrastructure projects.
Adekanmbi mentioned that designers and engineers can implement generative AI in aspects of product design and manufacturing to promote the development of parts and design, including the components. On the implementation of Chat Generative Pre-training Transformer (ChatGPT), it is regarded as a software that permits the user to inquire questions through the use of natural or conversational language. Also, senior engineers were informed that the prediction of a word in a sequence of words is the most primary training of language models.
There are ethical issues associated with Generative AI.
More so, the system is commonly known as masked-language-modelling or a next-token-prediction. Relatively, ensuring to test various outputs and proper grammar, giving as much context as possible, use of concise language and inputting a clear and specific prompt are regarded as the rules and regulations that speed-up engineering. Nevertheless, he warned that there are ethical issues that are associated with Generative AI. Also, the concerns include intellectual property (IP) issues, privacy concerns, inaccuracy, biased responses and lack of transparency.
Prof. Peter Onwualu, the President of the Nigerian Academy of Engineering implored members to exercise and practice the knowledge acquired during the forum. He also urged them to get engaged in the sector, particularly into the academy’s engineering innovation competition. Members were further called on to introduce board professional engineers in fields to collaborate with the academy for inclusiveness. In addition, there are various major differences between Deep Learning (DL), Machine Learning (ML) and Artificial Intelligence (AI), although they are used interchangeable.
AI is designed to carried out specific tasks, such as playing chess.
Succinctly, concentric circles is the only visual relationship among the technologies. Historically, AI has been known to use human intelligence for the accomplishment of task; this is known at the basic or elementary level. Importantly, AI is designed to carried out specific tasks, such as playing chess, trading stocks or even navigating a vehicle. This also made the engineering innovation creative and efficient in productivity. Also, the effective and progressive state of AI in the engineering sector involves the intervention of humans in the processes and sorting out new situations.
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Introducing generative AI in building designs. – Architectural plans can be built & auto-generated by building developers. – Express your point of view.
building designs using the use of generative AI. Building developers can create and automatically generate architectural plans. In today’s world, artificial intelligence is actually becoming more and more important. Buildings may make use of these amazing AI concepts. Additionally, it will foster the design team’s innovation, which is essential to bringing the buildings to life.
The integration of generative AI in building designs is a promising advancement for engineering in Nigeria. It aligns with global trends, showcasing increased funding and interest in AI applications. While the potential benefits are significant, ethical considerations, such as privacy and bias, must be carefully addressed. It’s encouraging to see the Nigerian Academy of Engineering promoting engagement and innovation in this evolving technological landscape.
It’s fantastic to watch how generative AI is changing the engineering scene in Nigeria! Although there is a lot of room for creativity and efficiency, appropriate implementation requires careful consideration of ethical issues. Proud to see our tech ecosystem continue to advance.
The introduction of generative AI in building designs has the potential to revolutionize the construction industry. With this technology, architectural plans can be automatically generated by building developers, saving time and resources.
The use of generative AI can bring numerous benefits to the building design process. It can assist architects and developers in exploring a wide range of design possibilities, optimizing building layouts, and even considering factors like sustainability and energy efficiency. This can lead to more innovative and efficient building designs that meet the needs of both the developers and the communities they serve.
Additionally, the automation of certain aspects of the design process can help streamline workflows and reduce human error. It can free up architects’ time to focus on more creative and complex tasks, while the AI handles the repetitive and time-consuming aspects of generating building plans.
Overall, the introduction of generative AI in building designs holds great potential to enhance the efficiency, creativity, and sustainability of the construction industry. It’s an exciting development that could shape the future of architecture and building development.