Neuromorphic chips, that is, those inspired by the functioning of the human brain, have been a reality for a few years.

So far they have not found widespread distribution due to the limits of performance and consumption.

But with the advent of new technologies and materials, researchers have managed to overcome these difficulties, as the recent study published in Nature also demonstrates.

The NeuRRAM project was developed thanks to the collaboration of researchers from several universities and institutes, including the University of California at San Diego, the Polytechnic of Turin, the Massachusetts Institute of Technology (MIT), and McGill University in Canada.

The international team first unveiled its neuromorphic chip at the Conference on Neural Information Processing Systems (NeurIPS) held in Vancouver last December.

The study was published in the scientific journal last January.

The research projects on the front of secret chips inspired by the human brain are many and promise great results in terms of computing power for the machines.

We are facing a real revolution in the field of artificial intelligence which, thanks to these new tools, will be able to make great strides in data processing capacity.

ARTIFICIAL INTELLIGENCE AT YOUR FINGERTIPS: APPLICATIONS OF THE NEW CHIP

The new NeuRRAM chip paves the way for a number of interesting applications in the technological field.

First, electronic devices will be able to perform more complex calculations directly in memory, without necessarily having to resort to an external cloud to process the data.

Secondly, this solution will make it possible to create more intelligent and performing devices than the current ones.

New applications will also be possible that previously were not feasible, such as virtual and augmented reality, real-time environmental monitoring, and space exploration.

The NeuRRAM chip can be used in many sectors, from industry 4.0 to medicine, from robotics to automotive.

Examples of programs in our smartphones that use artificial intelligence:

– Google Photos: thanks to the Google Lens machine learning algorithm, the photographic app is able to recognize images and provide us with useful information on what we are seeing;

– Apple Siri: thanks to natural language processing technology, Siri is able to understand our voice commands and perform the actions we ask him;

– Samsung Bixby: like Siri, Bixby is also a voice assistant based on artificial intelligence that allows us to perform various actions through the voice.

Three examples are currently like a carriage with horses, the one that was used more than 100 years ago to move us, compared to electric cars that exist today as well as some truly infallible and performing algorithms.

AI that we will increasingly need to be able to use in every moment of our life as having it in our pocket with our smartphones or other devices that may be invented precisely to contain our right arm (artificial intelligence in fact).

Here in the future, we will need not only more algorithms but also more hardware to ensure that they are functional, performing, and above all reliable to the point of being inserted into our lives.

Secret chips inspired by the human brain are the key to this and are already being tested and developed by numerous research labs around the world.