Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
M.Breternitz (2020). Neuromorphic Computing: Key Concepts, Status, Promise and Research Challenges. LMCAD Seminar.
Exportar Referência (IEEE) 
M. B. Jr.,  "Neuromorphic Computing: Key Concepts, Status, Promise and Research Challenges", in LMCAD Seminar, Campinas, Brasil, 2020
Exportar BibTeX 
@misc{jr.2020_1777641734555,
	author = "M.Breternitz",
	title = "Neuromorphic Computing: Key Concepts, Status, Promise and Research Challenges",
	year = "2020",
	howpublished = "Digital",
	url = "https://lmcad.ic.unicamp.br/news.html"
}
Exportar RIS 
TY  - CPAPER
TI  - Neuromorphic Computing: Key Concepts, Status, Promise and Research Challenges
T2  - LMCAD Seminar
AU  - M.Breternitz
PY  - 2020
CY  - Campinas, Brasil
UR  - https://lmcad.ic.unicamp.br/news.html
AB  - We discuss Neuromorphic Computing, a term originated by Carver Mead at Caltech who pioneered work on a biologically-inspired VLSI Retina.

The increased understanding of neuro-biological neurons and neural pathways along with theoretical advances has  led to a variety of analog and digital organizations, with distinct performance, cost and energy characteristics.

The widespread success of Deep Neural Network applications in myriad applications ranging from image processing, language transcription, autonomous vehicles and such has spurred activity in high performance computing architectures hardware to support their computational and energy requirements. However, there is still an enormous gap between such architectures and the accuracy and efficiency of neuronal and cortical systems in nature.

 This creates an opportunity to explore novel, biology-inspired, hardware-software architectures that use novel materials, more biologically-accurate neuron models, and analog computation on sparse signals.

https://lmcad.ic.unicamp.br/news.html
ER  -