In the paper "LeHDC: Learning-Based Hyperdimensional Computing Classifier," the authors provide the following default parameters for the MNIST image recognition task: lr = 0.01, weight_decay = 0.05, ...

Abstract: Drawing inspiration from the outstanding learning capability of our human brains, Hyperdimensional Computing (HDC) emerges as a novel computing paradigm, and it leverages high-dimensional ...

Case Western Reserve University’s Emerging Computing Technologies (ECT) Lab has been named one of three winners of NASA’s Beyond the Algorithm: Novel Computing Architectures for Flood Analysis ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation and Infrastructure. Hyperdimensional Computing (HD), or Vector Symbolic Architectures (VSA), refers to a family ...

Abstract: Hyperdimensional computing (HDC) has emerged as a promising paradigm offering lightweight yet powerful computing capabilities with inherent learning characteristics. By leveraging binary ...

Simuli is an AI technology startup that aims to revolutionize computation and achieve true artificial general intelligence (AGI) through hyperdimensional AI. Set for full release in the summer of 2027 ...

Although quantum computing is a nascent field, there are plenty of key moments that defined it over the last few decades as scientists strive to create machines that can solve impossible problems.

We had an interesting term recently in our AI ventures class that caught my attention – dimensional AI. What is dimensional AI? It turns out that my friend Ramesh Raskar, who runs a group at the MIT ...

Artificial intelligence is rapidly advancing, with a significant focus on improving models that process and interpret complex datasets, particularly time series data. This type of data involves ...