Results 291 to 300 of about 28,339 (330)

Reconfigurable neuromorphic computation in biochemical systems

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
Implementing application-specific computation and control tasks within a biochemical system has been an important pursuit in synthetic biology. Most synthetic designs to date have focused on realizing systems of fixed functions using specifically engineered components, thus lacking flexibility to adapt to uncertain and dynamically-changing environments.
Chiang, Hui-Ju, Jiang, Jie-Hong, Fages, François   +2 more
openaire   +3 more sources

Neuromorphic computing at scale

Nature
Neuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficient computational systems, often for applications with size, weight and power constraints.
Dhireesha Kudithipudi, Catherine Schuman, Craig M. Vineyard, Tej Pandit, Cory Merkel, Rajkumar Kubendran, James B. Aimone, Garrick Orchard, Christian Mayr, Ryad Benosman, Joe Hays, Cliff Young, Chiara Bartolozzi, Amitava Majumdar, Suma George Cardwell, Melika Payvand, Sonia Buckley, Shruti Kulkarni, Hector A. Gonzalez, Gert Cauwenberghs, Chetan Singh Thakur, Anand Subramoney, Steve Furber   +22 more
openaire   +2 more sources

Open Source Neuromorphic Computing

2023
Gradient-based Learning with Spiking Neural Networks * Python package for gradient-based * optimization of SNNs* seamless integration with PyTorch* CUDA + IPU accelerated* neuromorphic HW ...
openaire   +1 more source

Memristor in neuromorphic computing

2012 IEEE International SOC Conference, 2012
As technology scaling down becomes more and more difficult, the traditional von Neumann computer architecture cannot satisfy people's unlimited demand on high performance computation. Consequently, the neuromorphic hardware systems providing the capabilities of biological perception and information processing at compact and energy-efficient platform ...
openaire   +1 more source

Neuromorphic Adiabatic Quantum Computation

2009
The advantage of quantum mechanical dynamics in information processing has attracted much interest, and dedicated studies on quantum computation algorithms indicate that a quantum computer has remarkable computational power in certain tasks. Quantum properties such as quantum superposition and quantum tunneling are worth studying because they may ...
Shigeo Sato, Mitsunaga Kinjo
openaire   +1 more source

Neuromorphic sensory computing

Science China Information Sciences, 2021
Tianqing Wan, Sijie Ma, Fuyou Liao, Lingwei Fan, Yang Chai   +4 more
openaire   +1 more source

Reconfigurable Neuromorphic Computing Systems

2022
Abderazek Ben Abdallah, Khanh N. Dang
openaire   +1 more source

Neuromorphic Computation

2020
Mircea Dragoman, Daniela Dragoman
openaire   +1 more source

Molecular imaging in oncology: Current impact and future directions

Ca-A Cancer Journal for Clinicians, 2022
Steven P Rowe, Martin G Pomper
exaly  

Dynamical memristors for higher-complexity neuromorphic computing

Nature Reviews Materials, 2022
Suhas Kumar, Xinxin Wang, John Paul Strachan   +2 more
exaly