А new research paper of INSAIT has been accepted in Nature Reviews Electrical Engineering, part of Nature – one of the world’s most prestigious scientific publishers.
The publication explores a critical frontier at the intersection of artificial intelligence and energy systems. As AI continues to scale into gigawatt-level, always-on workloads, today’s power grids are increasingly unprepared for both the magnitude and the unique patterns of this demand.
According to the authors, there is a growing mismatch between energy supply and computational demand. The paper argues that simply expanding capacity or relying on short-term fixes will not be sufficient. Instead, a deeper, structural alignment is needed in how energy and computation systems are designed and evolve together.
Nature Reviews Electrical Engineering is a highly selective, top-tier journal that publishes forward-looking reviews and perspectives with broad scientific impact. Inclusion in the journal underscores the global importance of research on sustainable, energy-aware AI and long-term co-design between computing and energy infrastructures.
The work is co-authored by Xinlei Wang and Jinjin Gu, both faculty members at INSAIT, along with their collaborators.