Скачать с ютуб Hybrid computer Biocomputer brainoware AI Neurones Brain with hardware connection в хорошем качестве

Hybrid computer Biocomputer brainoware AI Neurones Brain with hardware connection

Hybrid computer Biocomputer brainoware AI Neurones Brain with hardware connection: metaprogramming the human biocomputer, organoid intelligence and biocomputers, bio computer science, computer biology, bio computer group, what is bio computer Definition of Brainoware: Brainoware is an emerging technology that merges artificial intelligence with the human brain. In other words, it is a system that allows communication between human thought and technology. Principle of operation: Brainoware works by interpreting brain signals, often using non-invasive electrodes. These signals are then translated into commands for technological devices, creating a direct interface between the brain and the machine. Means used to exploit Brainoware: The main means used include EEG (electroencephalography) sensors, neural interfaces and machine learning algorithms. These elements converge to enable unprecedented interaction between the brain and technology. Interest in medicine: In the medical field, Brainoware offers revolutionary perspectives. It can be used to help people with paralysis control prosthetics, improve rehabilitation after brain injuries, and even facilitate the early diagnosis of certain neurological diseases. Human brain cells on a chip can recognize speech and do simple calculations. There is no computer even as powerful and complex as the human brain. The pieces of tissue encased in our skulls can process information in quantities and at speeds that computer technology can barely achieve. The key to the brain's success lies in the neuron's efficiency in serving as both a processor and a memory device, unlike the physically separate units in most modern computing devices. There have been many attempts to make computing more brain-like, but a new effort goes even further, integrating real, real human brain tissue with electronics. It's called Brainoware, and it works. A team led by engineer Feng Guo of Indiana University in Bloomington gave him tasks such as speech recognition and math problems such as predicting nonlinear equations. It was slightly less precise than a purely hardware computer powered by artificial intelligence, but the research demonstrates an important first step in a new type of computer architecture. However, while Guo and his colleagues followed ethical guidelines when developing Brainoware, several Johns Hopkins University researchers note in a related article Nature Electronics comments on the importance of keeping ethical considerations in mind while further developing this technology. To date, our best efforts to simulate brain activity in an artificial system have only scratched the surface. In 2013, Riken's K computer – then one of the most powerful supercomputers in the world – tried to imitate the brain. With 82,944 processors and a petabyte of main memory, it took 40 minutes to simulate one second of the activity of 1.73 billion neurons connected by 10.4 trillion synapses, or about 1 to 2 percent of the brain. In recent years, scientists and engineers have attempted to approximate the brain's capabilities by designing hardware and algorithms that mimic its structure and functioning. Known as neuromorphic computing, it's getting better, but it's power-hungry and training artificial neural networks takes time. Guo and his colleagues sought a different approach using real human brain tissue grown in the lab. Human pluripotent stem cells were induced to develop into different types of brain cells organized into three-dimensional mini-brains called organoids, with connections and structures. They are not real brains, but simply arrangements of tissue with nothing resembling thought, emotion, or consciousness.