Cornell's world-first 'microwave brain' computes differently
16 days ago
- #Microwave Brain
- #Cornell Research
- #Analog Computing
- Researchers at Cornell University developed an analog 'microwave brain' chip.
- The chip processes ultrafast data and wireless signals simultaneously.
- Analog computers, unlike digital ones, model real-world phenomena directly.
- Examples of analog computers include mechanical clocks and slide rules.
- Analog circuits are simpler, faster, and more power-efficient than digital ones.
- Cornell's chip mimics human brain neurons for pattern recognition and learning.
- The chip uses only 200 milliwatts and achieves 88% accuracy in signal classification.
- Potential applications include AI in smart devices and improved wireless security.
- The technology avoids the complexity and power demands of digital systems.