Skip to main content

The Human brain consists of billions of neurons that communicate with each other through nerve impulses propagated by axons and synapses. During our lives, synapses change, allowing us to learn, perceive the world, reason and have feelings. The artificial neuronal network (NN) - made up of layers of interconnected neurons - digitally reproduces some of the functions of our brain and is able to learn concepts from examples. In the interactive work “NeuralRope#1. Inside an Artificial Brain” we teach an NN to distinguish forms of two kinds: triangles and squares from hand gestures. The network, initially trained in the laboratory, acquires new images by observing passers-by through the camera positioned at the beginning of the tunnel. While learning, the NN processes the information and modifies its axons and synapses accordingly. Afterwards, the NN will show on monitors at the exit of the tunnel whether a triangle or a square is represented in the perceived image. Therefore, the NN will have observed, reasoned and learned.

Neural Rope collection image

The Human brain consists of billions of neurons that communicate with each other through nerve impulses propagated by axons and synapses. During our lives, synapses change, allowing us to learn, perceive the world, reason and have feelings. The artificial neuronal network (NN) - made up of layers of interconnected neurons - digitally reproduces some of the functions of our brain and is able to learn concepts from examples. In the interactive work “NeuralRope#1. Inside an Artificial Brain” we teach an NN to distinguish forms of two kinds: triangles and squares from hand gestures. The network, initially trained in the laboratory, acquires new images by observing passers-by through the camera positioned at the beginning of the tunnel. While learning, the NN processes the information and modifies its axons and synapses accordingly. Afterwards, the NN will show on monitors at the exit of the tunnel whether a triangle or a square is represented in the perceived image.

合約地址0x495f...7b5e
代幣 ID
代幣標準ERC-1155
區塊鏈Ethereum
中繼資料集中式
創作者收益
10%

Inside AI 3/4

visibility
5 檢視次數
  • 價格
    美元價格
    數量
    到期日
  • 價格
    美元價格
    數量
    底價差額
    到期日
keyboard_arrow_down
活動
價格
日期

Inside AI 3/4

visibility
5 檢視次數
  • 價格
    美元價格
    數量
    到期日
  • 價格
    美元價格
    數量
    底價差額
    到期日

The Human brain consists of billions of neurons that communicate with each other through nerve impulses propagated by axons and synapses. During our lives, synapses change, allowing us to learn, perceive the world, reason and have feelings. The artificial neuronal network (NN) - made up of layers of interconnected neurons - digitally reproduces some of the functions of our brain and is able to learn concepts from examples. In the interactive work “NeuralRope#1. Inside an Artificial Brain” we teach an NN to distinguish forms of two kinds: triangles and squares from hand gestures. The network, initially trained in the laboratory, acquires new images by observing passers-by through the camera positioned at the beginning of the tunnel. While learning, the NN processes the information and modifies its axons and synapses accordingly. Afterwards, the NN will show on monitors at the exit of the tunnel whether a triangle or a square is represented in the perceived image. Therefore, the NN will have observed, reasoned and learned.

Neural Rope collection image

The Human brain consists of billions of neurons that communicate with each other through nerve impulses propagated by axons and synapses. During our lives, synapses change, allowing us to learn, perceive the world, reason and have feelings. The artificial neuronal network (NN) - made up of layers of interconnected neurons - digitally reproduces some of the functions of our brain and is able to learn concepts from examples. In the interactive work “NeuralRope#1. Inside an Artificial Brain” we teach an NN to distinguish forms of two kinds: triangles and squares from hand gestures. The network, initially trained in the laboratory, acquires new images by observing passers-by through the camera positioned at the beginning of the tunnel. While learning, the NN processes the information and modifies its axons and synapses accordingly. Afterwards, the NN will show on monitors at the exit of the tunnel whether a triangle or a square is represented in the perceived image.

合約地址0x495f...7b5e
代幣 ID
代幣標準ERC-1155
區塊鏈Ethereum
中繼資料集中式
創作者收益
10%
keyboard_arrow_down
活動
價格
日期