Memristive devices are gaining importance in the semiconductor industry for applications in
information storage, artificial intelligence cryptography and telecommunication. Memristive …

Neither deep neural networks nor symbolic artificial intelligence (AI) alone has approached
the kind of intelligence expressed in humans. This is mainly because neural networks are …

Hyperdimensional computing (HD), also known as vector symbolic architectures (VSA), is a
framework for computing with distributed representations by exploiting properties of random …

In-memory computing represents an effective method for modeling complex physical
systems that are typically challenging for conventional computing architectures but has been …

Hyperdimensional computing (HDC) is an emerging computing paradigm that imitates the
brain's structure to offer a powerful and efficient processing and learning model. In HDC, the …

Threshold-type resistive switching (RS) is an essential electronic behavior in many types of
integrated circuits and can be exploited in multiple applications, such as leaky integrate-and …

The growing adoption of data-driven applications, such as artificial intelligence (AI), is
transforming the way we interact with technology. Currently, the deployment of AI and …

Hyperdimensional Computing (HDC) is a neuro-inspired computing framework that exploits
high-dimensional random vector spaces. HDC uses extremely parallelizable arithmetic to …

Artificial visual system empowered by 2D materials-based hardware simulates the
functionalities of the human visual system, leading the forefront of artificial intelligence …

We introduce residue hyperdimensional computing, a computing framework that unifies
residue number systems with an algebra defined over random, high-dimensional vectors …