Tech Xplore

Ferroelectric memory enables one chip to sample randomness and compute for generative AI

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
IEEE

Masahiro Fujita

Neural Network,Active Switches,Electronic Design Automation,Power Consumption,Test Pattern,Activation Function,Bit-width,Edge Weights,Formal Verification,Half Adder ...
IEEE

Lu Jie

Analog-to-digital Converter,Power Consumption,Input Signal,Energy Efficiency,Figure Of Merit,Thermal Noise,Calibration Method,Calibration Technique,Parasitic ...
GitHub

This is the official implementation of our ICML 2024 paper "MultiMax: Sparse and Multi-Modal Attention Learning".

[2026-07] MultiMax is now integrated into PaddleFleet, the large-scale distributed training framework by PaddlePaddle. Key highlights of the integration: Optimizer: Use Adam (or AdamW) for MultiMax ...
GitHub

Quantization and Synthesis (Device Specific Code Generation) for ADI's MAX78000 and MAX78002 Edge AI Devices

There was an error while loading. Please reload this page.