Artificial intelligence (AI) tools are capable of performing various tasks with agility and precision. Despite the advances in technology, there are still many limitations, such as creating images including hands. This is partly due to the fact that the complexity of the human anatomy makes it difficult to replicate in an AI model. In addition, the creation of the hand also includes many aspects that differ between understanding the function of the limb and the human subjectivity itself, which makes the process more difficult.
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While AI has proven to be able to perform moves such as playing chess or identifying objects in pictures, creating a hand is a much greater challenge. This is because this organ is one of the most complex parts of the human body, as it contains more than 25 joints and 34 muscles, in addition to its ability to perform many different tasks.
In the following lines, the file TechAll He explains in detail why AI tools capable of creating images, such as DALL-E 2, MidJourney, and Chatsonic, don’t know how to make hands.
The anatomy of the hands is complex
The human hand is one of the most important parts of the body. It is used to perform many daily activities, such as writing, typing, eating, playing musical instruments, and others. It is made up of muscles, tendons, bones, and ligaments. Each of these elements performs a specific function and works together to enable the hand to perform its functions.
It should be noted that the hand is one of the parts of the human body that represents the greatest difference between humans. Some people may have large, strong hands while others may have small, sensitive hands. This makes the task of creating an accurate and realistic image using artificial intelligence much more complicated.
Another complex part of the body is the dental arch, which changes from person to person. Small — or even large — differences in human teeth make even modern AI tools incapable of creating images that faithfully capture the complexity of human anatomy.
Artificial intelligence tools lack the data in the hands
One of the reasons AI has difficulty drawing hands is the lack of training data. Although AI runs on algorithms that are trained to recognize patterns and create realistic images, many of them do not contain enough information about human hands. This translates into difficulties for the AI to create realistic images.
Therefore, it becomes necessary to access a large amount of training data that includes images of members in different poses, lighting and contexts. This data must be labeled correctly so that the AI can learn to recognize its different parts and functions.
It should be noted that this creation requires not only the availability of high-quality training data, but also the use of advanced artificial intelligence algorithms. The combination of these two factors is essential to creating accurate images.
Artificial intelligence does not yet know the function of the human hand
Another limitation of AI is the lack of understanding of device functionality. The human hand is used for various activities, from holding objects to playing musical instruments. Each activity requires different limb movements, but the AI still lacks the ability to understand these tasks.
In addition, it is important to highlight that the ability to feel the texture of different objects and adjust finger pressure when grasping objects is also something that must be taken into account and continues to be developed by technology today. To simulate the natural movement of the hand, for example, it is necessary for the AI to have knowledge of biomechanics and muscle coordination.
Human subjectivity also plays a role
In addition to reproducing the anatomy of the hand, it is essential to capture the human expression and emotion present in the image. This task is very difficult for artificial intelligence, as human subjectivity is difficult to quantify in algorithms.
Facial expressions, skin color, and hand gestures are elements of not just mathematics, but the human touch in the creative process. Despite its advances, AI still cannot capture all of these aspects with the same precision as a human artist.
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Although artificial intelligence has made great progress, factors such as the complexity of human hand anatomy, lack of training data, lack of understanding of human hand function, and human subjectivity are some of the main reasons why AI tools are still unable to create a realistic human. hands.
To overcome these challenges, researchers are working on new training techniques, which include the use of deep learning techniques and the use of neural networks to learn about different parts of the hand and their functions. In addition, new training databases are being developed, which include images of hands in different positions, lighting and contexts.
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