Human Brain and Artificial intelligence

  Brain neuron network and its working : A neural network in the brain is a group of interconnected units called neurons that send signals to one another . These neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks . A biological neural network is a population of biological neurons chemically connected to each other by synapses . Each neuron sends and receives electrochemical signals called action potentials to its connected neighbors . A neuron can serve an excitatory role, amplifying and propagating signals it receives, or an inhibitory role, suppressing signals instead . It has been estimated that there are around 86 billion neurons in the brain . Each neuron is connected to another 1,000 neurons, creating an incredibly complex network of communication . During development, the 100 trillion synapses in the human cortex form at a rate of an estimated 10,000 every 15 minut...

what is nervous system ? The nervous system is a highly complex part of an animal’s body that coordinates its actions and processes sensory information. It does this by transmitting signals to and from different parts of the body. Here are some key points about the nervous system: Components : The nervous system consists of three main components: Brain : The central control center that processes information, makes decisions, and coordinates various functions. Spinal Cord : A bundle of nerves that runs down the back and connects the brain to the rest of the body. Nerves : These are like communication highways that carry signals between the brain, spinal cord, and other body parts. Function : The nervous system detects environmental changes (such as temperature, touch, and pain) that impact the body. It works in tandem with the endocrine system (which uses hormones) to respond to these events. The nervous system controls basic body functions like heartbeat, breathing, and movement. It ...

   The idea of simulating the human brain in AI is a topic of ongoing research. There are multiple approaches to achieve human brain-like AI, including machine learning, spiking neural networks, neuromorphic computing, bio AI, explainable AI, and general AI . For instance, Google has been working on large-scale brain simulations for machine learning, using artificial neural networks that loosely simulate neuronal learning processes 2 . They’ve developed a distributed computing infrastructure for training large-scale neural networks and have trained models with more than 1 billion connections . Moreover, a neuromorphic supercomputer called Deep South, capable of simulating the synapses of a human brain at full scale, is set to boot up in Australia 3 . It will be capable of 228 trillion synaptic operations per second, which is on par with the estimated number of operations in the human brain . However, it’s important to note that while these developments are promising, they are...