Sökning: "Brain-like Computation"

Hittade 3 avhandlingar innehållade orden Brain-like Computation.

  1. 1. SiLago: Enabling System Level Automation Methodology to Design Custom High-Performance Computing Platforms : Toward Next Generation Hardware Synthesis Methodologies

    Författare :Nasim Farahini; Ahmed Hemani; Anders Lansner; Lu Zhonghai; Arvind Mithal; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System Level Synthesis; High Level Synthesis; VLSI Design Methodology; Brain-like Computation; Neuromorphic Hardware; Address Generation; Thread Level Parallelism; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : .... LÄS MER

  3. 2. Simple principles of cognitive computation with distributed representations

    Författare :Blerim Emruli; Serge Thill; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industriell elektronik; Industrial Electronics;

    Sammanfattning : Brains and computers represent and process sensory information in different ways. Bridgingthat gap is essential for managing and exploiting the deluge of unprocessed andcomplex data in modern information systems. LÄS MER

  4. 3. Event-Driven Architectures for Heterogeneous Neuromorphic Computing Systems

    Författare :Mattias Nilsson; Fredrik Sandin; Foteini Liwicki; Jerker Delsing; Chiara Bartolozzi; Luleå tekniska universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Neuromorphic computing; Mixed-signal; Low-power; Non-von Neumann; Spatiotemporal pattern recognition; System integration; Cyber-Physical Systems; Cyberfysiska system;

    Sammanfattning : Mixed-signal neuromorphic processors have brain-like organization and device physics optimized for emulation of spiking neural networks (SNNs), and offer an energy-efficient alternative for implementing artificial intelligence in applications where deep learning based on conventional digital computing is unfeasible or unsustainable. However, efficient use of such hardware requires appropriate configuration of its inhomogeneous, analog neurosynaptic circuits, with methods for sparse, spike-timing-based information encoding and processing. LÄS MER