What is neuromorphic computing?

Our group works on “neuromorphic computing”, which stands for hardware acceleration of brain-inspired computing. The objective of our research is to innovate novel computing framework with ultra-high power efficiency by adopting the bio-inspired computation model and the advanced memristor technology.

How big is the neuromorphic computing market?

Surge in Investments and Rise in Research and Development to Boost Neuromorphic Computing Industry Growth. Fort Collins, Colorado, April 05, 2024 (GLOBE NEWSWIRE) -- The Neuromorphic Computing Market size was valued at USD 6.8 Billion in 2023 and is expected to reach a market size of USD 82.1 Billion by 2032 with a CAGR of 31.8%.

What is a neuromorphic chip?

Neuromorphic chips feature a parallel architecture designed to mimic the information-processing capabilities of the human brain. This enables the creation of platforms necessary for machine learning software to process information effectively.

What is a neuromorphic processor?

This enables the creation of platforms necessary for machine learning software to process information effectively. Neuromorphic processors are well-suited to meet the demands for AI services across multiple verticals, requiring substantial computing capacity and high efficiency.

🏅 Top Neuromorphic Computing

A modular organic neuromorphic spiking circuit for retina ... - Nature

· Neuromorphic computing is currently experiencing a tremendous increase in research activity. Inspired by neuroscience, it aims to mimic the functions and architecture of the brain to enable ...

3 days ago

High-Performance Neuromorphic Computing Based on One-Dimensional Halide ...

· Neuromorphic computing, inspired by the structure of the human brain, aims to overcome the limitations of traditional computing architectures by more closely integrating processing and memory functions. It is believed that this approach is a step towards dramatically improving the efficiency of artificial neural networks by in-memory computing.

3 days ago

A New Era of Intelligence: The Implications of Neuromorphic Computing ...

· Neuromorphic computing is a cutting-edge approach to designing computer systems that are inspired by the structure and function of the human brain. Traditional computers process information using a linear, step-by-step approach known as von Neumann architecture. In contrast, neuromorphic computing systems are designed to process data in a more ...

9 hours ago

Advancing Neuromorphic Computing : Mixed-Signal Design Techniques ...

· Our mixed-signal design approach significantly improved latency and throughput, achieving a latency as low as 0.75 ms and throughput up to 213 TOP/s. These results firmly establish the potential of our architecture in neuromorphic computing, providing a solid foundation for future developments in this domain.

1 day ago

Self-sensitizable neuromorphic device based on adaptive hydrogen ...

· Neuromorphic chips aim to mimic the brain for efficient computation. In this research, we realize bio-inspired self-sensitization based on an adaptive hydrogen gradient in artificial neurons, addressing long-standing challenges of information loss and data drift in unknown situations beyond the pre-defined boundaries. These achievements drive the design of adaptive neuromorphic devices ...

5 days ago

Perovskite‐Nanowire‐Array‐Based Continuous‐State Programmable ...

· The neuromorphic computing architectures that simulate the nervous system of the biological brain, ... The top electrode (IZO) was deposited by a radio-frequency sputtering process under the condition of ≈0.23 Pa and 200 W. The electrode area was 0.785 mm 2. Wire bonding and norland optical adhesive 81 epoxy packaging were carried out to ...

4 days ago

Cu/MgO-based resistive random access memory for neuromorphic ...

· In neuromorphic computing, synapses, as the links between neurons, play an important role of transmitting information and are the key component of neuromorphic computing. 2 Memristor was first theorized by Dr. Leon Chua in 1971 3 and realized by the researchers at HP Labs in 2008. 4,5 Resistive Random Access Memory (ReRAM), which can be used as artificial synapse with ionic dynamics that is ...

1 day ago

Self-sensitizable neuromorphic device based on adaptive hydrogen gradient

· Brain-inspired or neuromorphic computing is a new technology paradigm that aims to perform highly efﬁcient computations based on neural networks.1–6 In a neural network, neurons, the computing units, are interconnected by numerous synapses and have the potential to overcome the von Neumann bottleneck where the

5 days ago

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