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Hemingway said we should really listen to people when they talk. Don't just think about what you'll say next. Most peopl...
14/11/2024

Hemingway said we should really listen to people when they talk. Don't just think about what you'll say next. Most people don't do this. They also don't really look around them. When you go into a room, you should notice everything and feel the mood of the place.

It's rare to find someone who really listens. Most people just half-listen, thinking about their own stuff. Imagine if we listened more carefully, trying to understand how the other person feels. It's not just about waiting to talk; it's about connecting deeply.

We should also pay attention to the world around us. When you enter a room, notice the details: the light, colors, and people's expressions. Most of us rush through, but there's magic in slowing down and noticing small things.

Every room has a feeling. It could be cozy, tense, or warm. By tuning into these feelings, we can understand ourselves and others better.

This takes practice, but it changes how we live. We become more aware of others' feelings and the world around us. It makes life richer and more meaningful.

So, when someone's talking, truly listen. Don't just wait for your turn. And when you're in a space, slow down and notice everything. This way, you'll experience life more deeply.

AI Learns to Recognize Emotions in ArtResearchers from Stanford and institutions in France and Saudi Arabia have created...
05/11/2024

AI Learns to Recognize Emotions in Art

Researchers from Stanford and institutions in France and Saudi Arabia have created an AI that can recognize emotions in artwork, moving toward machines with emotional intelligence. Unlike current technologies that mainly identify objects, this AI detects how images impact people emotionally.

Art was chosen because it’s designed to evoke feelings. The AI can classify emotions like awe, sadness, or fear and goes further by identifying various emotions within a single piece. It also generates captions describing the artwork’s emotional content.

To develop this, the team built a dataset called Artemis, including 81,000 paintings and 440,000 emotional responses from over 6,500 people. These responses help the AI learn to describe emotions in natural language, sharing why specific feelings are triggered by a painting.

This innovation could be a valuable tool for artists to understand their work’s emotional impact and may even help AI engage with human emotions in a meaningful way.

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