Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–7 of 7 results
Advanced filters: Author: Valentin Robu Clear advanced filters
  • Artificial intelligence and machine learning are increasingly seen as key technologies for building more decentralized and resilient energy grids. However, researchers must consider the ethical and social implications of these developments.

    • Valentin Robu
    • David Flynn
    • Maizura Mokhtar
    Comments & Opinion
    Nature Machine Intelligence
    Volume: 1, P: 548-550
  • Rechargeable lithium-ion batteries play a crucial role in many modern-day applications, including portable electronics and electric vehicles, but they degrade over time. To ensure safe operation, a battery’s ‘state of health’ should be monitored in real time, and this machine learning pipeline, tested on a variety of charging conditions, can provide such an online estimation of battery state of health.

    • Darius Roman
    • Saurabh Saxena
    • David Flynn
    Research
    Nature Machine Intelligence
    Volume: 3, P: 447-456
  • Xingyu Zhao and colleagues report a Bayesian learning framework for runtime self-verification of robotics systems. This framework allows robots to autonomously evaluate and reconfigure themselves after both regular and singular events, using only imprecise and partial prior knowledge.

    • Xingyu Zhao
    • Simos Gerasimou
    • David Flynn
    ResearchOpen Access
    Communications Engineering
    Volume: 3, P: 1-14