Results 271 to 280 of about 652,834 (343)

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility. [PDF]

Front Neurosci
Wu J, Lu L, Wang Y, Li Z, Chen C, Li Q, Chen K.   +6 more
europepmc   +1 more source

Advances in proton therapy technology and global clinical applications. [PDF]

Front Oncol
Zhang Q, Yang W, Tan L, Guo X, Wang T, Zhu P, Jing Z, Ma L, Hou J.   +8 more
europepmc   +1 more source

Production of ⁶⁴Cu and ⁶⁷Cu with accelerator neutrons by deuterons and their separation from zinc. [PDF]

Front Nucl Med
Nagai Y, Kawabata M, Saeki H, Motoishi S, Hashimoto K, Tsukada K, Motomura A, Ohta A, Takashima N, Hashimoto S, Itoh M, Kikunaga H, Furumoto S.   +12 more
europepmc   +1 more source

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11 TOPS photonic convolutional accelerator for optical neural networks

Nature, 2021
Xingyuan Xu, Mengxi, Bill Corcoran
exaly   +2 more sources

A MHz-repetition-rate hard X-ray free-electron laser driven by a superconducting linear accelerator

Nature Photonics, 2020
Winfried Decking, Frank Brinker, Artur Iluk   +2 more
exaly   +2 more sources

ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars

International Symposium on Computer Architecture, 2016
A number of recent efforts have attempted to design accelerators for popular machine learning algorithms, such as those involving convolutional and deep neural networks (CNNs and DNNs).
A. Shafiee, Anirban Nag, N. Muralimanohar, R. Balasubramonian, J. Strachan, Miao Hu, R. S. Williams, Vivek Srikumar   +7 more
semanticscholar   +1 more source

An integrated large-scale photonic accelerator with ultralow latency

Nature
Integrated photonics, particularly silicon photonics, have emerged as cutting-edge technology driven by promising applications such as short-reach communications, autonomous driving, biosensing and photonic computing1, 2, 3–4.
Charles Roques-Carmes, Shen Yichen
exaly   +2 more sources

SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training

International Symposium on High-Performance Computer Architecture, 2020
The advent of Deep Learning (DL) has radically transformed the computing industry across the entire spectrum from algorithms to circuits. As myriad application domains embrace DL, it has become synonymous with a genre of workloads across vision, speech ...
Eric Qin, A. Samajdar, Hyoukjun Kwon, V. Nadella, S. Srinivasan, Dipankar Das, Bharat Kaul, T. Krishna   +7 more
semanticscholar   +1 more source