Cartagena
Regular
Hi Cartegena,
The article is a year old, but it's good to revisit this bit:
"The Vision EQXX’s electronic brain uses something called neuromorphic computing, a form of information processing whose hardware runs so-called ‘spiking neural networks’ that mimic natural ones, firing only when certain thresholds are reached.
Developed in conjunction with California-based artificial intelligence (AI) specialist BrainChip, the system is said to significantly reduce energy consumption. For example, Mercedes claims the “Hey Mercedes” voice control system in the Vision EQXX is five to ten times more efficient than the setup in current production cars.
All this hardware and software makes the Vision EQXX ridiculously easy to drive while achieving extraordinary levels of energy efficiency."
The electronic brain uses SNN. "Hey Mercedes' 5 to 10 times power efficiency improvement is provided as an example of the benefit of Akida in the electronic brain.
It would make sense to use Akida for all in-cabin functions which are amenable to NN implementation - driver monitoring, driver recognition, occupancy, ..., as well as in the ADAS - lidar, ultrasound, camera image classification, ...
... and the bit about the silicon battery is also of interest to us oppressed Talga fans. A lot of premium vehicles will need the 10% Si for the 40% capacity increase.
August 2023
Mercedes-Benz AG
Development engineer in the field of artificial intelligence with a focus on neuromorphic computing and ADAS (f/m/x)
Tasks
The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans.
Innovative, forward-looking concepts & products for the future of Mercedes-Benz are being developed in our "Future Software & AI" department in the area of "Innovations & Future Technologies ". The portfolio covers the user experience, software architecture, Metaverse, WEB 3.0 and AI key features of our vehicles and the associated ecosystem. Close collaboration across team boundaries makes it ideally possible for us to realize synergies in the development of an intelligent and inspiring user experience in the vehicle, ecosystem and metaverse. Modern software and AI technologies are seamlessly integrated here
As an employee of the Team AI Research , you are researching current trends in artificial intelligence such as GenAI, quantum AI or neuromorphic computing. We are intensively examining new artificial intelligence methods and working on them further in order to make them usable for our company together with our colleagues from the specialist departments. We strive to expand the limits of artificial intelligence and create customized innovative solutions for our customers. In our team, you can actively shape the future of technology.
These challenges await you:
- Applied research in the field of neuromorphic computing and spiking neural networks
- Development of innovative algorithms for automotive applications
- Implementation of neuromorphic algorithms for automotive applications
- Researching and transferring current neuromorphic computing trends for automotive applications with a special focus on ADAS
- Conceptual implementation of ideas and development of demonstrators
- Close cooperation with colleagues from the project and the specialist departments
- Involvement in the development of new ideas and in the development of the strategic orientation of the project
- Close cooperation with universities, research institutions, technology companies and start-ups
- Supervision of internships, bachelor and master thesis and doctoral dissertations
Qualifications
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Job-ad-number:
MER0002RHQPublishing date:
07.08.2023Field of activity:
Research and Development incl. DesignDepartment
Artificial Intelligence Research
Contact
- Valerij Asmus
Email: valerij.asmus@mercedes-benz.com