Artificial Intelligence (AI) has been progressing very rapidly over the past few years. AI is finding its applicability and efficacy in so many day to day use cases that it has become one of the focal points for Research and Development (R&D) activities.
Following the same spirit, the NeuRRAM micro-chip design was introduced recently. This compute in memory chip is all set to bring about a revolution in Artificial Intelligence (AI) as a technology, especially its mainstreaming at a mass scale.
What makes this new micro-chip design so amazing is not its “compute in memory” capability, rather it is this chip’s miniscule power consumption and high level of accuracy that are being dubbed as a new era in the efforts to mainstream AI as a technology.
Traditionally, AI related workloads have been delegated to powerful, centralized servers. As a result, a lot of bandwidth and latency comes into the picture, as the data to be processed is first relayed to these servers, then it is processed, and finally, the output is again relayed back to the device that generated that data in the first place.
This workflow was impeding the implementation of AI based solutions, such as voice and image recognition, right at the grassroots levels. NeruRRAM stands to change all this, as it delivers superb, energy efficient and accurate AI workloads processing capabilities right at the network’s Edge.
After this new micro chip design passes more phases of rigorous testing and validation, it will find a lot of application in Edge Network use cases. Some of the most obvious real life use cases for this new micro chip design include smartwatches, Virtual Reality (VR) headsets, smart earbuds, smart sensors across factories and lastly, even for the rovers that are being used for space exploration missions.
Due to the highly accurate and energy efficient design of this new micro chip, it is expected to find real life use cases in the form of image recognition, image reconstruction as well as voice recognition. In the near future, the NeuRRAM micro chip is expected to execute a wide range of real-life Artificial Intelligence (AI) workloads with utmost accuracy, while ensuring a minimal power consumption footprint.
The power efficient nature of this micro-chip makes it possible to install it within smaller, battery powered devices as well. This in turn will broaden the scope of avenues where this new chip design can lead the mainstreaming of AI as a day to day viable technology.
We congratulate all the learned researchers that have taken part in designing the NeuRRAM. We also hope this chip design quickly passes the rigorous testing mechanisms and delivers “Artificial Intelligence (AI) at scale”, within our day to day lives.
