[vc_row animation=””][vc_column animation=””][vc_empty_space height=”132px”][/vc_column][/vc_row][vc_row offset_top=”180″ animation=””][vc_column animation=””][vc_empty_space height=”52px”][vc_column_text animation=””]
Whitepapers
[/vc_column_text][vc_empty_space height=”52px”][/vc_column][/vc_row][vc_row animation=””][vc_column width=”1/4″ animation=”” css=”.vc_custom_1557167426519{margin-bottom: 10px !important;border-bottom-width: 5px !important;padding-bottom: 5px !important;border-bottom-color: #1e73be !important;}”][evc_image_with_text image_behavior=”top-moving” title=”Supervised Training of Deep Neural Networks” custom_link=”url:https%3A%2F%2Fwww.memcpu.com%2Fwp-content%2Fuploads%2F2020%2F02%2FWhitepaper-Neural-Network-V3-1.pdf|target:_blank” image=”3328″][/vc_column][vc_column width=”1/4″ animation=””][evc_image_with_text image_behavior=”top-moving” title=”Efficient Restricted Boltzmann Machine Training for Deep Learning” custom_link=”url:https%3A%2F%2Fwww.memcpu.com%2Fwp-content%2Fuploads%2F2019%2F07%2FWhitepaper-RBM-V1.pdf|target:_blank” image=”2401″][/vc_column][vc_column width=”1/4″ animation=””][evc_image_with_text image_behavior=”top-moving” title=”Leveraging Physics & Memory A paradigm shift for Efficient Computing” custom_link=”url:https%3A%2F%2Fwww.memcpu.com%2Fwp-content%2Fuploads%2F2019%2F06%2FWhitepaper-MemComputing-Memory-and-Physics-v3.pdf|target:_blank” image=”2397″][/vc_column][vc_column width=”1/4″ animation=””][evc_image_with_text image_behavior=”top-moving” title=”Integer Linear Programming with MemComputing” custom_link=”url:https%3A%2F%2Fwww.memcpu.com%2Fwp-content%2Fuploads%2F2019%2F05%2FWhitepaper-MemComputing-Integer-Linear-Programming-20190504.pdf|target:_blank” image=”2402″][/vc_column][/vc_row][vc_row animation=””][vc_column animation=””][vc_empty_space height=”42px”][/vc_column][/vc_row][vc_row animation=””][vc_column width=”1/4″ animation=”” css=”.vc_custom_1557167426519{margin-bottom: 10px !important;border-bottom-width: 5px !important;padding-bottom: 5px !important;border-bottom-color: #1e73be !important;}”][evc_image_with_text image_behavior=”top-moving” title=”Solve Optimization Problems with Unparalleled Speed” custom_link=”url:https%3A%2F%2Fwww.memcpu.com%2Fwp-content%2Fuploads%2F2019%2F07%2FWhitepaper-Unparalleled-Speed-V2.pdf|target:_blank” image=”2404″][/vc_column][vc_column width=”1/4″ animation=””][evc_image_with_text image_behavior=”top-moving” title=”Confirmation of Exponential Speed-up Using MemComputing to Solve Hard Optimization Problems” custom_link=”url:https%3A%2F%2Fwww.memcpu.com%2Fwp-content%2Fuploads%2F2019%2F04%2FWhitepaper-ExponentialPerformance-20190423-V1.pdf|target:_blank” image=”2403″][/vc_column][vc_column width=”1/4″ animation=””][/vc_column][vc_column width=”1/4″ animation=””][/vc_column][/vc_row][vc_row animation=””][vc_column animation=””][vc_empty_space height=”152px”][/vc_column][/vc_row]