Researchers at FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological dendrites. This innovative design allows for accurate and robust image recognition while using significantly fewer parameters, paving the way for more compact and energy-efficient AI systems.
Artificial Intelligence (AI) plays a crucial role in driving innovation and improving efficiency across various industries, offering smarter solutions to complex problems and enhancing our daily lives. However, current AI systems are huge, comprising millions-to-billions of parameters, thus consuming massive amounts of energy, which limits their widespread use.
By integrating neuro-inspired features into AI, we can create smaller and smarter systems that mimic how our brains process information, improving their effectiveness in recognizing patterns and making decisions. This leads to more efficient and effective AI applications.
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