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Brain-Inspired Computing: From Neuroscience to Artificial Intelligence

Public Engagement
The aim of the workshop is to explore different aspects of neuromorphic computing: from biologically realistic models for computation to synaptic and neuromorphic electronics to drive the latest generation of artificial neural networks. Many industrial applications based on artificial intelligence (AI) have emerged and are all based on existing technology and computational paradigms. One of the main challenges for the future expansion of AI is to draw inspiration from the way human brain works in the development of new hardware and software emulating computation performed by neurons and synapses. This workshop will address this issue in a highly interdisciplinary scenario. We will explore areas of research apparently distant such as experimental and computational neuroscience, electronics, and informatics maintaining a common thread given by the performances shown by the nervous system, from energy consumption to highly parallelized cognitive tasks.
Sede dell’iniziativa:
Università degli Studi di Modena e Reggio Emilia, Aula Magna Centro Servizi Policlinico - Via del Pozzo 71 – Modena (MO)
Periodo di svolgimento dell’iniziativa:
Ottobre 11, 2019
  • Dati Generali
  • Competenze
  • Afferenze

Dati Generali

Obiettivi

The aim of the workshop is to explore different aspects of neuromorphic computing: from biologically realistic models for computation to synaptic and neuromorphic electronics to drive the latest generation of artificial neural networks. Many industrial applications based on artificial intelligence (AI) have emerged and are all based on existing technology and computational paradigms. One of the main challenges for the future expansion of AI is to draw inspiration from the way human brain works

Tipo

Organizzazione di iniziative di valorizzazione, consultazione e condivisione della ricerca

Strutture collegate (2)

Dipartimento di Ingegneria "Enzo Ferrari" (Coordinatore/Organizzatore)
Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze (Coordinatore/Organizzatore)

Competenze

Settori (12)


LS5_1 - Neuroanatomy and neurophysiology - (2016)

LS5_10 - Neuroimaging and computational neuroscience - (2016)

LS5_2 - Molecular and cellular neuroscience - (2016)

LS5_7 - Cognition (e.g. learning, memory, emotions, speech) - (2016)

PE1_18 - Scientific computing and data processing - (2016)

PE1_21 - Application of mathematics in industry and society - (2016)

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) - (2016)

PE6_7 - Artificial intelligence, intelligent systems, multi agent systems - (2016)

PE7_3 - Simulation engineering and modelling - (2016)

PE7_4 - (Micro and nano) systems engineering - (2016)

PE7_5 - (Micro and nano) electronic, optoelectronic and photonic components - (2016)

PE7_9 - Man-machine-interfaces - (2016)

Afferenze

Referenti (4)

CALDERARA Simone (Organizzatore)
MAPELLI Jonathan (Organizzatore)
PAVAN Paolo (Organizzatore)
PUGLISI Francesco Maria (Organizzatore)
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