Description

 

Kofkin Faculty of Engineering Researchers Receive Prestigious Swedish Grant

AutoPiM: Efficient Accelerator for Autonomous Vehicles is the winning project led by Israeli-Swedish collaboration in grant competition

Subject

Dr. Leonid Yavits and Prof. Adam Teman, from the Kofkin Faculty of Engineering and their Swedish partners, Pedro Trancoso and Per Stenström, from Chalmers University in Sweden, have received the Lise Meitner Grant for the AutoPiM: Efficient Accelerator for Autonomous Vehicles project. 

Swedish Ambassador Erik Ullenhag and the Swedish Embassy in Israel honored the recipients of the Lise Meitner Grant for Israeli-Swedish Research Collaboration in two simultaneously held receptions.

Deep learning is a subcategory of artificial intelligence that enables autonomous cars to perceive their surroundings, make real-time decisions, adapt to changing conditions, and ensure safe and reliable operations. From concept to silicon chip, the Lise Meitner Grant recipients will develop a special deep learning processor for autonomous vehicle applications.

Deep learning is an intensive task requiring extreme processing capabilities to be implemented. However, such computing platforms are limited due to increased energy usage and high costs. Therefore, a new computing approach is mandatory to address these requirements and provide an optimal high-performance, low-power, and low-cost solution. 

AutoPiM addresses this challenge through a novel computing paradigm called dual-PiM. PiM, or processing-in-memory, is a new computer model invented to resolve the inefficiencies and limitations of a classical von Neumann computer. Dual-PiM takes the idea of PiM further, achieving higher energy efficiency, better resource allocation, and utilization. 

The Israeli and Swedish researchers will carry out the project over five years

Period23 Feb 2023 → 13 Mar 2023

Media contributions

2

Media contributions

  • TitleThe researchers who will help the car manufacturers
    Degree of recognitionNational
    Media name/outletGlobes
    Media typePrint
    Country/TerritoryIsrael
    Date13/03/23
    DescriptionThe possible solutions in the field of smart transportation occupy many people in the world, which also leads to collaborations between countries and universities. Thus, researchers from the Faculty of Engineering at Bar-Ilan University, Prof. Adam Tieman and Dr. Leonid Yavitz, recently received the prestigious Swedish Lise Meitner research grant in the amount of approximately 300 thousand euros.

    The Lise Meitner grants are part of the collaboration between the Swedish Strategic Research Foundation, SSF, and Israel's Ministry of Innovation, Science and Technology, MOST. Out of 128 submissions for the prestigious grant, a total of eight research projects were selected.

    The research of Yeman Vivitz concerns smart tools, such as drones and small vehicles, which operate independently and over time on a limited power source (battery). "The future of autonomous vehicles lies in projects of this type," say Yeman and Vivitz.
    PersonsAdam Teman, Leonid Yavits
  • TitleKofkin Faculty of Engineering Researchers Receive Prestigious Swedish Grant
    Country/TerritoryIsrael
    Date23/02/23
    DescriptionAutoPiM: Efficient Accelerator for Autonomous Vehicles is the winning project led by Israeli-Swedish collaboration in grant competition

    Dr. Leonid Yavits and Prof. Adam Teman, from the Kofkin Faculty of Engineering and their Swedish partners, Pedro Trancoso and Per Stenström, from Chalmers University in Sweden, have received the Lise Meitner Grant for the AutoPiM: Efficient Accelerator for Autonomous Vehicles project.

    Swedish Ambassador Erik Ullenhag and the Swedish Embassy in Israel honored the recipients of the Lise Meitner Grant for Israeli-Swedish Research Collaboration in two simultaneously held receptions.

    Deep learning is a subcategory of artificial intelligence that enables autonomous cars to perceive their surroundings, make real-time decisions, adapt to changing conditions, and ensure safe and reliable operations. From concept to silicon chip, the Lise Meitner Grant recipients will develop a special deep learning processor for autonomous vehicle applications.

    Deep learning is an intensive task requiring extreme processing capabilities to be implemented. However, such computing platforms are limited due to increased energy usage and high costs. Therefore, a new computing approach is mandatory to address these requirements and provide an optimal high-performance, low-power, and low-cost solution.

    AutoPiM addresses this challenge through a novel computing paradigm called dual-PiM. PiM, or processing-in-memory, is a new computer model invented to resolve the inefficiencies and limitations of a classical von Neumann computer. Dual-PiM takes the idea of PiM further, achieving higher energy efficiency, better resource allocation, and utilization.

    The Israeli and Swedish researchers will carry out the project over five years.
    PersonsAdam Teman, Leonid Yavits, Pedro Trancoso, Per Stenström

Keywords

  • energy
  • automated vehicles
  • Batteries