๐ต The debate on artificial creativity and intelligence has been ongoing for over 170 years.
๐ก Ada Lovelace argued that machines can only be considered intelligent if they are capable of generating innovative ideas.
๐ค A machine created in 2001 proposed a test to determine if it is capable of producing creative output.
๐ค Robots can be created to compose innovative and high-quality music using complex algorithms.
๐ต While most generated melodies may not be considered beautiful, there are some worth listening to.
๐ Modeling natural creative processes could allow for more meaningful and beautiful outputs.
๐ค Algorithmic development can enable machines to generate innovative and valuable artistic output.
๐ต By simulating evolutionary changes in music segments, machines can be creative in music composition.
๐ถ The fitness function can determine the quality of the generated music by comparing it to a selected external melody.
๐ค Can robots generate music melodies that are considered beautiful and creative?
โ๏ธ The algorithm can select and manipulate musical phrases to create new melodies.
๐ต The process involves randomness and complexity, and the resulting melodies may surpass human judgment.
๐ค Robots can generate music, sculptures, paintings, and poetry.
๐ง The concept of human creativity involves interconnected neural cells, biological algorithmic processes, and random experiences.
๐จ The impact of creative machine-generated works lies in their ability to evoke emotions and awe, regardless of who created them.
Working With Todoist | Ep 187 | The Best Way To Use The 2+8 Prioritisation System
AI In L&D: How To Move Beyond The Gimmicks | L&D Disrupt Live | Episode 50
Working With Todoist | Ep 150 | Creating The Golden 10 Routine
''Faรงo MAIS DE 100 MIL Reais Todo Mรชs'' | Higor Neves - Kiwicast #44
Python + PyTorch + Pygame Reinforcement Learning โ Train an AI to Play Snake
Working With Todoist | Ep152 | 3 Ways To Focus On The Important