Specialized neuromorphic computing chips are being developed to leverage the benefits of the SNNs better. These chips represent a departure from the traditional computing architecture, offering a ...

In this rapidly growing digital era, innovations in edge AI computing are fundamentally transforming autonomous vehicles. In ...

Neuromorphic computing, which aims to copy the design of the brain to improve artificial computers, has brought together researchers from mathematics, biology, physics, electronic engineering and ...

the principal designer of the ARM microprocessor—the technology that now powers most cellphones—and the creator of the SpiNNaker neuromorphic computer architecture. Steve Furber on ...

Our faculty and students conduct research into computer architecture and computing devices that will ... based on the emergent revolutionary paradigms of quantum computing and neuromorphic computing.

JANUARY 22, 2025 — A review article about the future of neuromorphic computing by a team of 23 researchers, including two authors from UTSA, was published today in Nature. Dhireesha Kudithipudi, the ...

Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive ...

NUS researchers have demonstrated a single, standard silicon transistor can function like a biological neuron and synapse ...

Event-driven data-flow processing and near/in-memory computing are the two dominant design trends ... a scalable and flexible neuromorphic architecture. To address the overhead of event-driven ...

Neuromorphic computing seeks to replicate the information-processing capabilities of biological neural networks. Neurons in biological systems rely on rhythmic burst firing for sensory encoding ...

The professor and has team received the prestigious Misha Mahowald Prize in Neuromorphic Engineering for their work on stochastic neuromorphic computing ...