TetraMem showcases joint research with SK hynix
The collaboration focuses on memristor-based Analog In-Memory Computing for efficient AI acceleration, including depthwise convolution, marking a milestone toward practical semiconductor applications.
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Analog in-memory computing company
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In short: TetraMem achieved significant milestones in RRAM technology through high-temperature breakthroughs and partnerships with SK hynix.
The collaboration focuses on memristor-based Analog In-Memory Computing for efficient AI acceleration, including depthwise convolution, marking a milestone toward practical semiconductor applications.
The prototype uses a depthwise-optimized memristor-based in-memory computing SoC to improve crossbar utilization and enable energy-efficient edge AI.
Their collaboration on RRAM-based Analog In-Memory Computing led to a cover publication in Advanced Intelligent Systems, addressing the memory wall challenge.
The joint research, published as a cover feature in Advanced Intelligent Systems, demonstrates a memristor-based AI SoC with efficient depthwise convolution, integrating memory, circuit, and system design.
SK hynix (KOSE:A000660) and neuromorphic computing company TetraMem report successful results from a...
TetraMem Inc., a Silicon Valley–based semiconductor company developing analog in-memory computing (IMC) solutions, today announced the successful tape-out, manufacturing, and initial silicon validation of its...
The milestone follows TetraMem’s prior demonstration of high-density, high-precision RRAM with 2,048 conductance levels, equivalent to 11 bits per cell, in fully integrated 256 ...
SAN JOSE, Calif.--(BUSINESS WIRE)--TetraMem Inc. today announced that its academic and research collaborators have demonstrated RRAM (memristor) devices capable of reliable operation at temperatures up...
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