How does Neuromorphic Computing Works?
Neuromorphic computing was originally referred to as the hardware that mimics neuro-biological architectures to implement models of neural systems. The concept was then extended to the computing systems that can run bio-inspired computing models, e.g., neural networks and deep learning networks. In recent years, the rapid growth of cognitive applications and the limited processing capability of conventional von Neumann architecture on these applications motivated worldwide research on neuromorphic computing systems. In this paper, we review the evolution of neuromorphic computing technique in both computing model and hardware implementation from a historical perspective. Various implementation methods and practices are also discussed. Finally, we present some emerging technologies that may potentially change the landscape of neuromorphic computing in the future, e.g., new devices and interdisciplinary computing architectures.
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The neuromorphic computing platform comprises of two essential systems based on the custom hardware architecture. These systems are basically designed to program neural microcircuits by applying human brain process with the cognitive computing as well as machine learning process. This method permits a machine to adapt, learn, and function like a human brain and thus, anticipated to boost the demand for a Neuromorphic computing market.
The mounting demand for artificial intelligence and machine learning is driving the growth of the neuromorphic computing market. However, the complex algorithms enhances the complexity of designing hardware of neuromorphic chips may restrain the growth of the Neuromorphic computing market. Furthermore, the growing adoption of neuromorphic computing for security purposes is anticipated to create market opportunities for the Neuromorphic computing market during the forecast period.
Top Companies Analysis
1. Applied Brain Research, Inc.
2. Brainchip Holdings Ltd.
3. General Vision Inc.
4. Hewlett Packard Enterprise
5. HRL Laboratories, LLC
6. IBM Corporation
7. Intel Corp.
8. Numenta
9. Qualcomm Inc.
10. Samsung Electronics Limited