For auto safety features focused on driver monitoring and adaptive sensing, Akida with on-chip learning is far more suitable than Blaize.
For other features Blaize may be more suitable.
It may be that Mercedes is not ready yet to let AKIDA safety features on the road and is still testing it.
I would not in any way expect that AKIDA will be the only chip in the car. It's likely it will be horses for courses.
I think ' adaptable on chip learning' would be compulsory for auto safety.
It would already be enough if they implemented Akida just to reduce energy-hungry systems so EVs and plug-ins can achieve a greater range. We can support many different use cases – it depends on how each customer wants to use Akida. We doesn’t need to be implemented in security relevant systems like autonomous driving and stuff like this…
For example
Reducing compute load for sensors (cameras, radar, lidar, interior monitoring) I don’t mean to run the system… just optimising the Prozess
Event-based processing instead of continuous full-load processing
“Guardian” function: Akida runs lightweight and only wakes up CPU/GPU when needed
Less or more efficient “cloud”/data communication (more on-device AI)
Lower overall power consumption of ECUs and SoCs
Less heat generation…less cooling effort for electronics
More efficient energy management in the vehicle (driving profile, recuperation, HVAC)
Ability to use smaller/more efficient power and board-net components
Overall reduction of continuous electronic power draw… more range for EVs
I think if the automotive sector would use us only in those points, we would win a lot of trust at the industry