Scientists announced recently that they have developed artificial neurons that can mimic the complexity and functionality of biological neurons in the brain.
Here is the TL;DR of their report:
- The study was conducted by researchers from the University of Manchester and the University of Sheffield in the UK.
- These artificial neurons use a new type of transistor that can simulate the behavior of ion channels found in biological neurons.
- The new transistors allow the artificial neurons to perform complex computations and communicate with other neurons in a similar way to biological neurons.
- This technology has potential applications in developing more efficient and powerful artificial intelligence systems.
- The researchers believe that this approach could also lead to new treatments for neurological disorders by allowing for more accurate simulations of brain activity.
- The new artificial neurons are more energy-efficient than previous approaches, making them more practical for use in real-world applications.
- The artificial neurons were tested in simulations and were able to perform complex computations such as pattern recognition and image processing.
- The researchers believe that this technology could eventually lead to the development of brain-inspired computing systems that are more efficient and capable than current approaches.
- The team plans to continue developing and refining the artificial neurons, with the ultimate goal of creating a brain-inspired computing system that can rival the capabilities of the human brain.
Source: Ghazi Sarwat Syed et al, Atomically thin optomemristive feedback neurons, Nature Nanotechnology (2023). DOI: 10.1038/s41565-023-01391-6
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