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3 March 2025

Emerging AI Trends for 2025

Artificial Intelligence is evolving beyond mere data processing—it’s now learning to recognize and respond to human emotions. Emotionally intelligent AI, powered by affective computing, is being integrated into customer service, healthcare, and marketing to create more human-like interactions. But can AI truly understand emotions, or is it just mimicking them based on data patterns? This article explores the advancements, applications, and ethical concerns surrounding emotionally intelligent AI, questioning whether machines can ever genuinely empathize or if they will always remain limited to analyzing human sentiment without true emotional depth.

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17 February 2025

AI-POWERED KINETIC ART

Explore the future of AI-powered kinetic art, where machine intelligence and motion merge to create dynamic, interactive installations that learn, adapt, and evolve. Discover how artists like Refik Anadol, Daniel Rozin, and TeamLab are redefining creativity with responsive sculptures, immersive environments, and data-driven art that transforms in real time

AIartcollaborating with AIFASHIONfashion design

20 January 2025

Augmented Reality and AI: Redefining Interactive Art

Kinetic art is entering a new era, powered by Artificial Intelligence (AI). This revolutionary fusion of motion and machine intelligence is enabling dynamic, interactive installations that learn, adapt, and evolve, creating an entirely new dimension of immersive art.

AIartcollaborating with AI

15 January 2025

Storytelling with Neural Networks: When AI Becomes Your Co-Writer

AI storytelling tools are transforming the creative process, turning neural networks into collaborative partners for writers, screenwriters, and game developers. Imagine sitting down to write a story, and an AI-powered co-writer like Sudowrite, ChatGPT, or DeepStory helps you brainstorm plot ideas, refine dialogue, and even build immersive worlds

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26 January 2024

Umnai on AI Trust

In the whirlwind of AI excitement in 2023, there’s a reality check for organizations diving into AI implementation: trust issues. The latest AI models, including OpenAI’s GPT-4, are known to generate inaccurate outputs. This poses challenges for critical tasks, where reliability is crucial.

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