Near future
Contact us
  • Home
  • Tech
  • Health
  • Environment
  • Architecture
  • energia
  • Transportation
  • Spazio
  • AI
  • concepts
  • Gadgets
  • Italy Next
  • H+
June 30 2022

Coronavirus / Russia-Ukraine

Near future

News to understand, anticipate, improve the future.

No Result
View All Result

News to understand, anticipate, improve the future.

Read in:  Chinese (Simplified)EnglishFrenchGermanItalianJapanesePortugueseRussianSpanish

ArtEmis, the artificial intelligence that recognizes emotions in paintings

A new artificial intelligence algorithm analyzes paintings and describes the human emotions a person might feel when seeing them.

Gianluca Ricciodi Gianluca Riccio
in Technology
Share30Pin11Tweet19SendShare5ShareShare4
ArtEmis, the artificial intelligence that recognizes emotions in paintings
March 30 2021
⚪ Reads in 4 minutes
A A

The researchers built an algorithm capable of capturing the emotions evoked by images and paintings.

"This ability will be key to making AI not only smarter, but more human, so to speak," he says Panos Achlioptas, PhD student in computer science at Stanford University

Experts from artificial intelligence they have become quite good at making computers that can "see" the world around them. Algorithms that allow to recognize objects, animals and activities in various fields. AI is about to become the core technologies of cars, planes and autonomous safety systems of the future.

Maybe you are also interested

Microsoft will (without haste) withdraw its technology that reads emotions

Petvation: door with facial recognition for pets

Are we ready for mind-controllable bionic body parts?

No, Google's AI is not sentient

Today, a team of researchers is working to teach computers to recognize not only what objects in an image or painting are, but also how those images and paintings make people feel.

I'm talking about artificial emotional intelligence algorithms.

ArtEmis, the knowledge of art through paintings

To achieve this, Achlioptas and his team collected a new dataset, called ArtEmis, which was recently published in a pre-press of arXiv.

The dataset is based on the 81.000 WikiArt paintings. Consists of 440.000 written responses from over 6.500 humans which indicate how paintings make them feel and includes explanations of why they chose that particular emotion.

Using these answers, Achlioptas and the team, led by the Stanford engineering professor Leonidas Guibas, they trained neural speakers.

These are artificial intelligences that respond with written words: in this case, they generate emotional responses to visual art and define them.

An AI distinguishes the emotions aroused by paintings
Leonidas Guibas, Stanford University

Why Art?

Researchers have chosen to use art specifically, as an artist's goal is to arouse emotions in the viewer. ArtEmis works independently of the subject, from still life paintings to human portraits or abstract painting.

The work is a new approach to computer vision, Guibas notes.

The classical computer vision acquisition work concerned literal content. "There are three dogs in the picture," or "someone is drinking coffee from a cup". Instead, we needed descriptions that defined the emotional content of an image.

Leonidas Guibas

8 emotional categories

The algorithm classifies images and paintings into one of eight emotional categories (from amazement to fun, from fear to sadness) and then explains in the written text what in those images justifies the emotional reading.

Artificial intelligence is doing its job. They can "show" her an image she did not know, and in response she says how a human being might feel seeing it.

Surprisingly, the researchers say, captions accurately reflect the abstract content of the image in ways that are far beyond the capabilities of existing computer vision algorithms.

Not only: the algorithm doesn't just capture the broad emotional experience of a complete picture. It can decipher different emotions within the paintings.

AI that distinguishes emotions in paintings
An example. In the well-known painting by Rembrandt "The beheading of John the Baptist" ArtEmis distinguishes not only "pain" on the severed head of the Saint, but also "contentment" on the face of Salome, the woman to whom the head is presented.

ArtEmis goes even further: it also takes into account the subjectivity and variability of the human response.

Not all people see and feel the same thing when looking at paintings. Someone can feel happy seeing the Mona Lisa, someone else sad. ArtEmis can distinguish these differences.

A tool for artists

In the short term, the researchers anticipate that ArtEmis could become a tool for artists to evaluate their works as they are created, and ensure their work has the desired impact.

It could provide guidance and inspiration to guide the artist's work. A graphic designer working on a new logo could use ArtEmis to address its emotional effect.

It's only the beginning. From paintings to people.

Later, after further research and refinements, emotion-based algorithms could be perfected. Artificial intelligences that will help bring emotional awareness to applications such as chatbots and conversations avatars.

“I see ArtEmis bringing insights from human psychology to artificial intelligence,” says Achlioptas.

Artificial intelligence is becoming more human and personal.

tags: modern artartificial intelligence
Previous post

Plants remember periods of drought

Next Post

PooPail, end of the dog manure problem

COLLABORATE

To submit articles, disclose the results of a research or scientific discoveries write to the editorial staff

    archive

    Have a look here:

    sahara desert 1
    Environment

    Precious Plastic, refugees clean up plastic from the Sahara desert

    A recycling center in the Sahara Desert is transforming excess plastic into furniture and useful items for ...

    Read More
    airless tires

    2024, airless tires finally coming. Do we need them? Do they work?

    nurses

    8 Digital health technologies that transform the future of nurses

    Quantum points transform every surface into a solar cell

    Quantum points transform every surface into a solar cell

    covid-19 astrazeneca vaccine

    There is no 2 without 3. AstraZeneca Covid-19 vaccine: how is it different?

    The daily tomorrow

    Futuroprossimo.it provides news on the future of technology, science and innovation: if there is something that is about to arrive, here it has already arrived. FuturoProssimo is part of the network ForwardTo, studies and skills for future scenarios.

    Subscribe to our newsletter

    Environment
    Architecture
    Artificial intelligence
    Gadgets
    concepts
    Design

    Staff
    Archives
    Advertising
    Privacy Policy

    Medicine
    Spazio
    Robotica
    Work
    Transportation
    energia

    To contact the FuturoProssimo editorial team, write to [email protected]

    Chinese Version
    Édition Française
    Deutsche Ausgabe
    Japanese version
    English Edition
    Edição Portuguesa
    Русское издание
    Spanish edition

    This work is distributed under license Creative Commons Attribution 4.0 International.
    © 2021 Futuroprossimo

    No Result
    View All Result
    • Home
    • Tech
    • Health
    • Environment
    • Architecture
    • energia
    • Transportation
    • Spazio
    • AI
    • concepts
    • Gadgets
    • Italy Next
    • H+