✉news SciencePhysics first seen 1 d ago, last 18 h ago, peak #7
AI surrogate with built-in physics speeds up low-power amplifier design
Researchers have developed an AI surrogate model that incorporates built-in physics to accelerate the design of low-power amplifiers. By embedding physical laws directly into the model, the approach reduces the need for slow, computationally heavy simulations, cutting design time significantly. The work highlights a growing trend of physics-informed machine learning being applied to electronics engineering, where it could shorten development cycles for energy-efficient amplifier circuits.
Why now: New research demonstrating physics-informed AI is drawing attention for its potential to speed up electronics design.
Evidence
- AI surrogate with built-in physics speeds up low-power amplifier design · Bioengineer.org
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