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VAIHTOEHTOUUTISET Lähde-osoite: https://vunet.net __________________________________________________________________________Artificial Neurons Open New Frontiers in AI and Biotechnology Recent innovations in artificial neuron research promise to revolutionize both artificial intelligence and biotechnology applications. Scientists have developed cell models that mimic the behavior of biological neurons, respond to chemical signals, and can learn from experience. Protein-based nanowires enable direct communication with living cells, while new algorithms allow highly accurate modeling of neuronal electrical activity. These advancements pave the way for biohybrid systems and more human-like AI solutions capable of learning, adapting, and interacting with their environment. While the development raises ethical and safety considerations, the potential of artificial neurons in information processing, communication, and bioelectronic applications is immense. In a groundbreaking development, engineers at the University of Massachusetts Amherst have created artificial neurons that can directly communicate with living cells. These low-voltage neurons are constructed using protein nanowires produced by bacteria, enabling seamless integration with biological systems. This innovation paves the way for bio-inspired computers and wearable electronics that operate with significantly reduced power consumption. umass.edu Further enhancing this achievement, researchers have developed artificial neurons that mimic the action potentials of biological neurons. Utilizing memristors, these artificial neurons can integrate bio-amplitude signals and produce continuous voltage spikes, emulating the firing patterns of natural neurons. Nature In a novel approach, scientists have constructed artificial neurons capable of emulating the stochastic spiking behavior observed in biological neurons. By tuning applied voltage and other parameters, these artificial neurons can replicate the dynamic firing patterns characteristic of neurons in various cortical areas. Nature Researchers have also introduced artificial neurons that operate using ultralow voltage and current signals. These neurons are built from specialized memristors designed to function with minimal energy, closely resembling the dynamic processes involved in neuronal firing. Nature Advancements in materials science have led to the creation of artificial neurons using conductive plastics. These simplified structures reproduce key properties of biological neurons, offering a more practical and scalable approach to neuromorphic computing. techxplore.com In the realm of photonics, scientists have developed nanoscale photonic neurons that process biological signals. These neurons operate at extremely low power levels and can handle both excitatory and inhibitory inputs, making them suitable for both computing and optical sensing applications. arXiv Exploring magnetic properties, researchers have introduced all-magnonic artificial neurons. These neurons utilize nonlinear magnonic frequency shifts to achieve sharp trigger responses and tunable memory, facilitating scalable and low-power neuromorphic computing. arXiv The integration of artificial neurons with superconducting materials has led to the development of neural networks that can learn independently. These networks demonstrate significantly faster learning speeds compared to traditional systems, marking a significant step forward in neuromorphic computing. NIST In a novel approach, scientists have developed artificial neurons that can 'whisper' to real brain cells. These neurons communicate with biological neurons in a manner that closely mimics natural signaling, offering potential applications in neural interfaces and brain-machine communication. ScienceAlert Collectively, these advancements in artificial neuron technology are propelling the fields of artificial intelligence and biotechnology into new frontiers, offering promising avenues for energy-efficient computing, advanced neural interfaces, and deeper integration between biological systems and electronic devices. |
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