The artificialintelligencerevolution
In recent years, artificial intelligence (AI) has established itself as one of the most revolutionary technologies of our time, capable of transforming entire sectors and redefining the very concept of innovation.
From medicine to finance, art to industrial production, AI not only automates complex processes, but also introduces new forms of creativity and analysis that expand human possibilities.
In this article, we will explore the potential of AI and its impact on our future!
What is artificialintelligence?
Artificial intelligence is an advanced technology that enables machines to learn, reason, and make decisions in a manner similar to humans.
It works by analyzing large amounts of data, from which algorithms extract information, identify patterns, and make autonomous decisions.
Initially created to tackle complex problems and automate repetitive processes, AI aims to improve efficiency, reduce errors, and enhance computing capabilities.
Its operation is based on three fundamental elements: data, algorithms, and computing power.
Data is the fuel that powers AI.
This data, entered by users when using the system, comes from texts, images, videos, and sensors that provide the information necessary for learning and prediction.
Data can be structured, such as spreadsheets, unstructured, such as text and images, or semi-structured, such as XML or JSON files.
This variety allows AI to tackle a wide range of tasks and problems.
Algorithms are the brain of AI.
These rules and logic enable the system to process data, recognize patterns, and make decisions.
There are different types of algorithms, each with a different way of working.
For example, in supervised learning, AI is trained using a labeled dataset, i.e., data that already includes the correct answers.
In unsupervised learning, AI works with unlabeled data, i.e., without any indication of what the correct answers are.
The algorithm independently attempts to identify patterns or groups within the data.
Finally, in reinforcement learning, AI learns through a system of rewards and penalties.
The algorithm performs actions in an environment and receives feedback based on the results of its actions.
If the action leads to a good result, the AI receives a reward; if it leads to a negative result, it is penalized.
Finally, computing power is the force that enables AI to process data.
This is provided by advanced processors and distributed computing infrastructures such as cloud computing, a technology that allows access to IT resources without having to physically own them.
Data centers are physical facilities that house and manage thousands of interconnected computers (servers) that process, store, and distribute data. They are essential for training complex models and managing large amounts of data.
The AIlearningprocess
Artificial intelligence is not static; it evolves through a process of continuous learning.
Training is the phase in which the system is instructed using an initial set of data to optimize its parameters and reduce errors.
Validation tests the model using a separate set of data to verify its accuracy, while final testing ensures that the AI works effectively in the real world.
To maintain high performance, AI requires regular updates, such as retraining with the latest data and optimizing algorithms.
Interacting with AI:The importance ofprompts
What does promptare mean?
“Prompting” means formulating a request or input for an artificial intelligence system, such as a language model, to obtain a specific response or result.
To get the most out of AI, it is essential to know how to formulate clear and well-structured prompts.
Language models such as ChatGPT-4 analyze large amounts of text to generate responses, so a precise prompt is essential for relevant results.
It is important to provide context and specific details, while avoiding excessive complexity. Experimenting and refining prompts helps improve the quality of responses, while simple and clear language facilitates communication.
Privacy andsecurity
Artificial intelligence raises crucial questions regarding the management of personal data.
The intensive use of sensitive data, such as personal or biometric information, is essential for training systems and improving services, but it carries significant risks, such as privacy violations, bias in models, and vulnerability to cyberattacks.
For example, a well-known social network asked users to authorize the use of their personal data to improve its artificial intelligence technologies.
This consent request is related to the training and optimization of AI models, which may include image recognition, content personalization, and other advanced features.
Regulations such as the European Union's GDPR (General Data Protection Regulation) impose restrictions on data collection and management, requiring explicit user consent and guaranteeing users rights of access and control.
AI andart: A comparison
Advanced algorithms such as those used by Deep Art or DALL-E are transforming digital art, allowing works to be created from simple textual descriptions and combining artistic styles in innovative ways.
For example, thanks to an AI program, Jason Allen won first prize in the Colorado State Fair art competition.
His work is entitled" ThéâtreD'opéraSpatial" and was generated using the Midjourney program, causing a stir and controversy among the public.
Many have called this triumph "the death of art," sparking heated debates about the future of human creativity and the role of AI in
art world.
At the same time, photographer Miles Astray, with his work "Flamingone," demonstrated that, however advanced it may be, technology cannot match the human ability to curate the composition of a photo down to the smallest detail.
He succeeded in proving this by winning a competition in the AI category with a real photograph of a flamingo, thus demonstrating the superiority of the human eye and artistic sensibility over artificial creations.
MoMAembraces artificialintelligence
The Museum of Modern Art (MoMA) in New York has expanded its permanent collection with two revolutionary works by artists who are redefining the global art scene through the use of artificial intelligence: Refik Anadol and Ian Cheng.
This decision affirms the growing importance of artificial intelligence as a creative tool and highlights that this technological tool is emerging as a true co-creator of works of art, ushering in a new era in contemporary aesthetics.
Refik Anadol–Unsupervised,MachineHallucinations
Unsupervised is a creation that is part of Refik Anadol's ongoing Machine Hallucination project, and is an exploration of data aesthetics based on collective visual memories.
Since 2016, the artist has been using artificial intelligence as a collaborator of human consciousness, employing advanced algorithms to reveal hidden layers of our external realities.
Anadol collects data from digital archives and public resources, processing it with machine learning models to create a multichannel experience of surprising sensory autonomy.
The Unsupervised NFT collection stems from this aesthetic-scientific vision, processing 138,151 pieces of metadata from the Museum of Modern Art (MoMA) collection.
The creative trained a unique AI model to capture the machine's "hallucinations" in a multidimensional space, creating embodiments in 1024 dimensions.
These abstract images and shapes, the result of unsupervised learning, represent a latent cosmos in which a new form of artistic creativity emerges, reinterpreting MoMA's extraordinary collection, which spans over 200 years of art history.
This installation resonates aesthetically and also pushes research into machine learning into new territory, demonstrating the increasingly profound interaction between art and artificial intelligence.
Ian Cheng –3FACE
The acquisition of Ian Cheng's work by the Museum of Modern Art was made possible thanks to a cutting-edge platform dedicated to digital technologies.
3FACE is considered by the museum to be "the most ambitious experimental work to date for the exploration of blockchain technologies and data decentralization."
The creation stands out for its innovative ability to use artificial intelligence to "adapt" and respond to data.
At the heart of 3FACE is an artistic generation process based on the analysis of transactions associated with the owner's blockchain wallet.
The artist's artificial intelligence processes data to create a unique visual portrait, making the minting process, i.e., the creation of new tokens or coins, a metaphor for the development of an individual personality.
In this way, 3FACE explores the artistic potential of blockchain technologies and transforms the concept of identity and creativity, offering a profound reflection on the connection between data, personality, and art.
This new era, marked by the entry of artificial intelligence into the realm of art, promises to be exciting but unpredictable, and MoMA, with its forward-thinking vision, is at the forefront of this transformation.
The works of Refik Anadole and Ian Cheng will be remembered not only as technical innovations, but as milestones that marked the beginning of a profound dialogue between man and machine in artistic creation.
In conclusion, as AI continues to evolve and become more integrated into our lives, it remains essential to remember that it is a tool at the service of humanity.
Machines can emulate techniques and styles, but they will never be able to replicate the emotion, depth, and originality of human ingenuity!
At Artistinct, we remain firmly convinced that human intellect and innate creativity are irreplaceable.
#webelieveinhumanartistinct
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