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Nanowire Networks

All articles tagged with #nanowire networks

technology2 years ago

"Nano-sized 'Brain' Network Learns and Remembers in Real Time"

Researchers have developed a physical neural network using silver nanowires that can learn and adapt in real time, outperforming computer-based AI systems. The nanowire networks, resembling the structure of neurons in the brain, can efficiently process and transmit information through electrical signals. Unlike conventional batch-based learning, the network's online learning approach requires less memory and energy, making it more efficient. The network successfully recognized handwritten numbers and demonstrated the ability to remember patterns of digits, showcasing its potential for emulating brain-like learning and memory.

technology2 years ago

Nanowire Networks Mimic Human Brain Learning and Memory.

Scientists have demonstrated that nanowire networks can exhibit short- and long-term memory, similar to the human brain. This breakthrough in nanotechnology suggests that non-biological hardware systems could potentially replicate brain-like learning and memory, and has numerous real-world applications, such as improving robotics and sensor devices in unpredictable environments.

technology2 years ago

Silver Nanowire Networks Mimic Human Brain's Learning and Memory.

Self-organizing networks of tiny silver wires, called nanowire networks, appear to learn and remember in much the same way as the thinking hardware in our heads, according to a new study published in Science Advances. These nanowires are part of a field of research called neuromorphics, which aims to replicate the structure and functionality of biological neurons and synapses in non-biological systems. The study demonstrates that it is possible to implement features essential for intelligence, such as learning and memory, in non-biological, physical hardware.

science-and-technology2 years ago

Nanowire Networks Mimic Human Memory.

Nanowire networks can exhibit both short- and long-term memory like the human brain, according to an international team led by scientists at the University of Sydney. The researchers found that the nanowire network could 'remember' a desired endpoint in an electric circuit seven steps back, suggesting that the underlying nature of brain-like intelligence may be physical. The study paves the way towards replicating brain-like learning and memory in non-biological hardware systems, which could have real-world applications such as improving robotics or sensor devices that need to make quick decisions in unpredictable environments.