Neuromorphic Computing for Translation: Brain-Inspired AI
In the world of artificial intelligence, current deep learning models for translation have made remarkable strides, yet they face a significant challenge: their energy-intensive nature. These models, while powerful, operate on principles that diverge from the human brain’s natural efficiency, creating bottlenecks in real-time applications. This discrepancy highlights a critical need for innovation that can bridge the gap between machine…