Industrial news on Generative AI

Applications of Generative AI in the Industrial Sector

GenAI is now blended within popular culture, as its usage is becoming increasingly common in all fields. Even well-reputed and established industries seldom desist from using them in their mainstream services and products.

The impacts of AI on our society have grown exponentially in a short period of time. Their ability to streamline the process and replace manual tasks has made them a preferable choice for many industries.

Aggregating the case studies of Generative AI for research can be a bit tricky, but it can be done through a proper literature review that comprehends its current status. Let’s look at the cases of Generative AI being used in industrial sectors.

GPT in construction projects

Construction projects heavily rely on geometrical methods and spatial applications. When these elements are simulated, improvisation, and interaction can be performed directly without spending time on foundational principles.

BIM-GPT is a framework that integrates LLM models to improve automation in construction projects by making them interact with BIM databases. In simpler terms, language models act as a bridge that grasps natural language instructions and interact with BIM- database. It facilitates communication among architects and engineers, thus allowing them to optimize their work.

This simplifies the complex tasks in construction projects. This involved a detailed series of applications that aimed to address overall challenges in automating construction management.

Gen AI in the Automotive industry

Since the emergence of generative AI, several automotive companies have shown interest in integrating them into their products, as they can simulate real-life occurrences and create synthetic data. Their applications are widely used to improve design aspects and user experience.

Notable automobile industries like Tesla and XPeng have integrated generative AI for autonomous systems ranging from manufacturing to product featuring. These automobile manufacturers deploy AI for smart driving systems such as voice assistants, adaptive displays, etc. They also aim to provide personalised driving experiences.

Manufacturing Sector

Using real-life information as training data, these generative AI models are designed to replicate real-world systems. Therefore, AI-driven designs are deliberately used within manufacturing industries globally.

In 2023, NASA successfully implemented generative AI to design one of their spacecraft hardware using AI algorithms. They aimed to design a spacecraft with reduced mass to conserve resources. This allowed them to attain a desired outcome without compromising on functionality.

AI for drug discovery

As compared to other industry sectors, there continues to be a lag in drug formulations. This is due to the sensitive nature of the domain, as it demands rigid processing, strict protocols and guidelines.

Regardless of their complex nature, integrating AI with drug discovery will simplify the process. They simulate intervention methods and reactivity to provide outcomes quickly. This can also be carried out in different stages and at different levels. And they even simulate clinical trials.

There are numerous examples where AI has been used to create drugs, and they are,

MEK protein inhibitor identification.
Alzheimer’s Disease Therapeutic Targeting
Cancer Treatment Compound Discovery

Using GenAI to synthesise drugs is something that will entirely re-invent medical intervention methods. This method is still not widely considered as it still is in the early stages of applicability.

Individualised learning with AI

Students are distinct when it comes to learning. Each student learns at a different pace and with a different understanding. Coping with individual needs is the best attribute of teaching. Bringing AI into education will facilitate that kind of teaching and improve student outcomes. They can also create an individualised learning environment by creating custom educational content.

In China, multiple classrooms are equipped with an AI-integrated device that monitors their brainwaves. Also, they have interactive robots in classrooms for student engagement. These implementations have undergone some serious criticisms even though they are futuristic initiatives.

GenAI-entertainment

Entertainment has always been a fascinating sector with a huge involvement of civilians in various forms and ways. They contribute a significant part to data production every year. Looking at how they produce billions of bytes every second, it is clearly obvious that video generation models have evolved at a faster pace.

AI models have influenced the entertainment industry to a point where a single person can create a whole movie with AI platforms. For all forms of entertainment, AI has the capability to produce them in an engaging manner with the right methods of utilisation.

Magellan TV- A streaming platform that uses generative AI to automate localisation of their content to reach a wider audience. This application enables them to achieve multilingual content delivery.

The Bigger Picture

The application of generative AI demonstrates their transformative capability across diverse sectors, reshaping processing, efficiency, and accuracy. They not only simplify our processes, but also, they create new opportunities for exploration.

To fully utilise their potential, researchers are encouraged to deeply explore the gaps and find breakthroughs. However, critically exploring them is not a simple task that anyone could easily do. The steps involved in research is a daunting task that consume time and effort. But they can be tackled with expert assistance. PhD Assistance offers a comprehensive stack of solutions for all kinds of research problems in every existing domain. With a decade of wisdom and enlightenment, we ease the process of researching and make you succeed.

References

sciencedirect.com

explodingtopics.com