Polina Anikeeva: Seeking materials that match the brain
First molecular clock on a chip
Ruonan Han’s group uses standard CMOS technology to demonstrate molecular clock.
Designing Efficient Deep-Learning Systems
This course aims to provide a comprehensive tutorial and survey about the recent advances towards enabling the efficient processing of deep learning.
Of Interest to Our Industrial Friends
On the occasion of the retirement of Prof. Dimitri Antoniadis, a special symposium - The Future of Nanoscale Electronics - was held on April 27, 2018. Videos of the symposium talks are now available.
MTL is dedicated to advancing nanoscale science and technology to contribute towards addressing pressing human concerns in areas of communications, computation, energy, health, environment, transportation and others. MTL pursues fundamental knowledge and technologies in the context of actual systems with realistic constraints. MTL enhances its impact in the world through a vibrant industrial consortium.