Double distinction at IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING & COMMUNICATIONS
As part of its fruitful collaboration with IBM Research AI Hardware Center and the thesis of Hadjer Benmeziane, a team from the LAMIH computer science department has received:
- the Best Paper Award of the conference and
- the IEEE Open Source Science (OSS) Award for the open source code developed by Hadjer.
As part of its successful collaboration with IBM Research AI Hardware Center and the thesis of Hadjer Benmeziane, a team from the computer science department of LAMIH received:
- the Best Paper Award of the conference and
- the IEEE Open Source Science (OSS) Award for the open source code developed by Hadjer.
The project named AnalogNAS proposes a software environment for optimizing AI applications by using computation in memories without bypassing the processor, In-Memory Computing (IMC).
This approach reduces:
- Execution time and
- Electric power consumption.
The tool developed by Hadjer Benmeziane as part of his thesis and internship at IBM ZURICH enables the automatic design of analog AI gas pedal architectures with an IMC approach.
Bravo Hadjer for the contribution of your research work and this double distinction.
Bravo also to all the co-authors of this article: Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Sidney Tsai, Smail Niar, Hamza OUARNOUGHI, Abu Sebastian, Vijay Narayanan, and Kaoutar El Maghraoui.