Results 51 to 60 of about 2,883,478 (184)

Opportunities for neuromorphic computing algorithms and applications

Nature Computational Science, 2022
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. P. Mitchell, Prasanna Date, Bill Kay   +5 more
semanticscholar   +1 more source

Versatile stochastic dot product circuits based on nonvolatile memories for high performance neurocomputing and neurooptimization. [PDF]

, 2019
The key operation in stochastic neural networks, which have become the state-of-the-art approach for solving problems in machine learning, information theory, and statistics, is a stochastic dot-product.
Mahmoodi, MR, Prezioso, M, Strukov, DB
core   +1 more source

Memcapacitive Devices in Logic and Crossbar Applications [PDF]

, 2017
Over the last decade, memristive devices have been widely adopted in computing for various conventional and unconventional applications. While the integration density, memory property, and nonlinear characteristics have many benefits, reducing the energy
Teuscher, Christof, Tran, Dat
core   +2 more sources

Neuromorphic Computing for Smart Agriculture

Agriculture
Neuromorphic computing has received more and more attention recently since it can process information and interact with the world like the human brain.
Shize Lu, X. Xiao
semanticscholar   +1 more source

Neuromorphic Photonic On-chip Computing

Chips
Drawing inspiration from biological brain's energy-efficient information-processing mechanisms, photonic integrated circuits (PIC) have facilitated the development of ultrafast artificial neural networks. This in turn is envisaged to offer potential solutions to the growing demand for artificial intelligence employing machine learning in ...
Sujal Gupta, Jolly Xavier
openaire   +1 more source

Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices

Small Structures
The rapid advancement of artificial intelligent and information technology has led to a critical need for extremely low power consumption and excellent efficiency.
Muhammad Hamza Pervez, Ehsan Elahi, Muhammad Asghar Khan, Muhammad Nasim, Muhammad Asim, Arslan Rehmat, M. A. Rehman, M. Assiri, Shania Rehman, Jonghwa Eom, Muhammad Farooq Khan   +10 more
semanticscholar   +1 more source

An ultra energy-efficient hardware platform for neuromorphic computing enabled by 2D-TMD tunnel-FETs

Nature Communications
Brain-like energy-efficient computing has remained elusive for neuromorphic (NM) circuits and hardware platform implementations despite decades of research.
Arnab Pal, Zichun Chai, Junkai Jiang, W. Cao, Mike Davies, Vivek De, Kaustav Banerjee   +6 more
semanticscholar   +1 more source

Neuromorphic computing for modeling neurological and psychiatric disorders: implications for drug development

Artificial Intelligence Review
The emergence of neuromorphic computing, inspired by the structure and function of the human brain, presents a transformative framework for modelling neurological disorders in drug development.
Amisha S. Raikar, J. Andrew, Pranjali Prabhu Dessai, Sweta M. Prabhu, Shounak Jathar, Aishwarya Prabhu, Mayuri B. Naik, G. S. Raikar   +7 more
semanticscholar   +1 more source

Beyond von Neumann Architecture: Brain‐Inspired Artificial Neuromorphic Devices and Integrated Computing

Advanced Electronic Materials
Brain‐inspired parallel computing is increasingly considered a solution to overcome memory bottlenecks, driven by the surge in data volume. Extensive research has focused on developing memristor arrays, energy‐efficient computing strategies, and varied ...
Hyunho Seok, Dongho Lee, Sihoon Son, Hyunbin Choi, Gunhyoung Kim, Taesung Kim   +5 more
semanticscholar   +1 more source

Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems

Nature Communications
The brain’s connectivity is locally dense and globally sparse, forming a small-world graph—a principle prevalent in the evolution of various species, suggesting a universal solution for efficient information routing.
Thomas Dalgaty, Filippo Moro, Yiğit Demirağ, A. Prà, Giacomo Indiveri, Elisa Vianello, M. Payvand   +6 more
semanticscholar   +1 more source