dailyai.report

Thermodynamic computers utilize random energy fluctuations instead of fighting them with safeguards. This approach diverges from traditional von Neumann architectures to reduce power waste. Researchers aim to build hardware that mimics biological efficiency. Such a shift would allow AI models to run on significantly less electricity during massive inference tasks.