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- 01HNJJDPYKK37G5WZM6P72QXN7 classification C1.
- 01HNJJDPYKK37G5WZM6P72QXN7 date "2023".
- 01HNJJDPYKK37G5WZM6P72QXN7 language "eng".
- 01HNJJDPYKK37G5WZM6P72QXN7 type conference.
- 01HNJJDPYKK37G5WZM6P72QXN7 hasPart 01HNJJJFZTN5R2SREJEJ36ZKSA.pdf.
- 01HNJJDPYKK37G5WZM6P72QXN7 hasPart 01HNJJJZ4SFN1BDZN2DPJDD3QY.pdf.
- 01HNJJDPYKK37G5WZM6P72QXN7 subject "Technology and Engineering".
- 01HNJJDPYKK37G5WZM6P72QXN7 doi "10.1109/cleo/europe-eqec57999.2023.10231574".
- 01HNJJDPYKK37G5WZM6P72QXN7 isbn "9798350345995".
- 01HNJJDPYKK37G5WZM6P72QXN7 issn "2833-1052".
- 01HNJJDPYKK37G5WZM6P72QXN7 presentedAt urn:uuid:04029884-4f61-4801-8112-77e1e178387c.
- 01HNJJDPYKK37G5WZM6P72QXN7 abstract "With the benefit of high speed, wide bandwidth, and low latency, optical neural networks (ONN) form a promising neuromorphic computing platform for accelerating artificial intelligence tasks. ONNs contain two kinds of fundamental functional operations: multiply-accumulate (MAC) stages and nonlinear activation function units, as shown in Fig. 1(a). In the past years, different optical MAC units have been developed using wavelength-division multiplexing (WDM) schemes [1]–[2] or coherent multipath interferometers [3]. However, the optical nonlinear activation function units still remain a challenge for the integration of large-scale ONNs. Most nonlinear activation functions are implemented in optical-electrical (OE) conversion schemes [2]–[3], where processing speed is limited by the latency time of OE conversion. Therefore, an integrated all-optical nonlinear activation function is an attractive solution for optical neuromorphic computing.".
- 01HNJJDPYKK37G5WZM6P72QXN7 author 4017A9EC-C2CD-11E9-9185-E8255707D3EF.
- 01HNJJDPYKK37G5WZM6P72QXN7 author 803276F0-DB29-11E9-AE2C-D9545707D3EF.
- 01HNJJDPYKK37G5WZM6P72QXN7 author 96AEAB9C-57C2-11E8-B4DD-1F6D12A95AF2.
- 01HNJJDPYKK37G5WZM6P72QXN7 author E63F7A3C-9B17-11E2-A004-2F9C10BDE39D.
- 01HNJJDPYKK37G5WZM6P72QXN7 author F584DB2E-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HNJJDPYKK37G5WZM6P72QXN7 author F6876ADC-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HNJJDPYKK37G5WZM6P72QXN7 dateCreated "2024-02-01T14:51:01Z".
- 01HNJJDPYKK37G5WZM6P72QXN7 dateModified "2024-11-27T23:17:24Z".
- 01HNJJDPYKK37G5WZM6P72QXN7 name "A nonlinear activation function for optical neural networks using a Mach-Zehnder interferometer with a III-V-on-Si amplifier".
- 01HNJJDPYKK37G5WZM6P72QXN7 pagination urn:uuid:f3dde803-1896-4a7b-8aa5-ad1a67ef51ab.
- 01HNJJDPYKK37G5WZM6P72QXN7 publisher urn:uuid:59fc974a-1fde-4255-927e-607b8916b5c4.
- 01HNJJDPYKK37G5WZM6P72QXN7 sameAs LU-01HNJJDPYKK37G5WZM6P72QXN7.
- 01HNJJDPYKK37G5WZM6P72QXN7 sourceOrganization urn:uuid:20d31846-b40f-44b8-b83c-63a5ac1e586b.
- 01HNJJDPYKK37G5WZM6P72QXN7 sourceOrganization urn:uuid:8d0cc666-6417-49dd-8bbd-72e397df7028.
- 01HNJJDPYKK37G5WZM6P72QXN7 type C1.