Carnegie Mellon pledges to make chips smarter

The solution, Blanton and his team claim, is SLIC: Statistical Learning in Chip, a machine-learning system which allows a circuit to monitor its performance and conditions and make adjustments as required to ensure peak efficiency. Using technology developed in partnership with the Robotics Institute, the team hopes to create ‘smart’ processors which can dramatically boost their efficiency automatically and without user interaction.

The SLIC technology would go far beyond existing power management systems, adjusting the silicon circuit in far finer-grained ways than is currently possible and based on far more data than the crude temperature- and load-sensitive triggers used today.