Future perspectives of artificial intelligence

Structure optimization is one of the main fields that provides the most efficient results for the application. If correctly used the method can minimize all the unwanted aspect and maximize the chosen objectives. Nowadays, optimization on structure can be reached through using tools that are powered by artificial intelligence. The technology is well adopted and implemented in the fields of engineering. The positive impact from this method yet to be harvested. Therefore, the work will look at the use of artificial intelligence in engineering fields. Especially the focus of the work will be aimed at the structure optimization. Generative design is a method used in engineering to optimize the structure by different aspects. In this work some of the main components of generative designs will be outlined.

Optimizing structures and bio environments through generative design in engineering

Abdulkadyrov,

Aygumov,

Abdulmukminova

2024

Q-Learning: Advancing various systems, including real and virtual environments – current and future states

Matygov,

Aygumov,

Abdurashidov

2024

As we delve into the realm of artificial intelligence, we understand that the technology is diverse in the techniques it utilizes. these approaches are utilized to enhance the artificial intelligence depending on the tasks. each task requires a unique approach and hence must be dealt with individually, of course, most of the tasks require a complex approach and hence all methods must be implemented to achieve the best outcome of the task. the one approach that will be covered in this work is Q-learning. it is a component of the reinforcement method, which is a subpart of machine learning. this approach is used to explore dynamic environments. This approach is used in various fields and provides solid results. hence, the work will try to explain what is Q-leaning approach in reinforcement learning is and in which fields it is applicable. the focus will also be on its current state and its future perspectives.

Review article: The impact of algorithmic advancement on production and its sales

Malsagov,

Vassunova,

Amirova

2024

New methods and approaches can be found as technology pushes our limits. Modern times allow humans to benefit from the use of technology. It is deeply embedded in every part of our day-to-day routine. Almost every task is performed using technology. All the important data can be fed into it, and hence it takes a great piece in our-human lives. The work focuses on the use of algorithms, commonly known as artificial intelligence, in segment of production of goods and marketing. Basic terms of artificial intelligence will be covered at the beginning. Food industry will be briefly outlined. The use of artificial intelligence in marketing will then be examined. Advantages and some limitations will be discussed at the end.