IEEE

Energy-Efficient Computation with DVFS using Deep Reinforcement Learning for Multi-Task Systems in Edge Computing

Finding an optimal energy-efficient policy that is adaptable to underlying edge devices while meeting deadlines for tasks has always been challenging. This research studies generalized systems with ...
IEEE

Joint Edge Server Deployment and Computation Offloading: a Multi-Timescale Stochastic Programming Framework

Abstract: Mobile Edge Computing (MEC) is a promising approach for enhancing the quality-of-service (QoS) of AI-enabled applications in the B5G/6G era, by bringing computation capability closer to ...
GitHub

Mojo-V: Secret Computation for RISC-V

Mojo-V (pronounced “mojo-five”) is a new RISC-V extension that introduces privacy-oriented programming capabilities for RISC-V. Mojo-V implements secret computation, enabling secure, efficient, and ...
Harvard Business Review

AI Tools Make Coders More Important, Not Less

Of all the possible applications of generative AI, the value proposition of using it to write code was perhaps the clearest. Coding can be slow and it requires expertise, both of which can be ...