There are many startups who are trying to develop more efficient hardware. For instance, Edge AI or on-device AI workloads.
Nature is a powerful computer
With abilities far beyond our current technology
For instance, ants display remarkable intelligence, operating in complex colonies and demonstrating problem-solving skills that are both efficient and adaptable. To reach nature’s level of computing prowess, we need to learn from these natural systems, facing and overcoming similar challenges.
One key lesson is learning how to create reliable technology from components that might not always be perfect or consistent.
But there is nothing about neuromorphic or NPU tech here.
In memory compute
Shared exponent
RISC-V integration
On device fine-tuning
Neuromorphic chips // NPU
Most promising tech, especially for AI // no need for precision arithmetic. But Intel already includes NPU in a chip.
Are NPUs old analog devices built on a new technological foundation? What are the challenges of neuromorphic technologies?
New low power high speed NPUs are on demand for AI apps(on device).
