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Advancing Neuromorphic Computing as a Cross-Disciplinary Challenge.
Neuromorphic computing develops at the intersection of diverse research disciplines, including computational neuroscience, machine learning, microelectronics, and computer architecture, among others. Intel Labs has established the Intel Neuromorphic Research Community, a collaborative research effort that brings together academic, government, and industry entities to work on complementary architectures, tools, and approaches that enable neuromorphic computing as a whole.

The community works to abstract principles of neuroscience and adapt them to practical computational technology. For example, producing more advanced SNN algorithms is a key area of focus, including the development of programming models and tools. In particular, it drives experimentation and development with the Loihi research chip, including applications to solve real-world problems and mechanisms for interfacing systems based on SNNs with external data and computing systems.