Author | Shawn Ouyang, System Architect at Ruijun Micro UK R&D Center; Dr. Andrew, Fellow at Ruijun Micro UK Research Center 1. Introduction FPGA is a device for implementing programmable digital logic. Similar to circuit architectures like CPU, GPU/NPU and dedicated ASIC, FPGAs have also begun to be widely used for implementing neural networks (NN). … Read more
The new year’s competition has kicked off enthusiastically~ To help everyone learn more about this event, the editor has compiled excellent works from 2021 for sharing and learning. Every Monday, we will share award-winning works, so remember to check out the series~ Team Introduction Participating Unit: University of Science and Technology of ChinaTeam Name: SupernovaFinals … Read more
Abstract Machine learning has become a mainstream solution applied across various industries. In this work, we investigate how to use side-channel information such as timing and electromagnetic (EM) emissions to perform reverse engineering of neural networks. To this end, we consider multilayer perceptrons and convolutional neural networks as the choices of machine learning architecture, assuming … Read more
Introduction Implementing online training of neural networks in MATLAB-Simulink typically requires combining Simulink models and MATLAB scripts. Here are the general steps: Building the Simulink Model: Use the Neural Network Toolbox in Simulink to add a neural network block. This can be done through the “Add Block” menu. Configure the structure, input, output, and other … Read more
New Intelligence Compilation Source: bair.berkeley.edu Author: Jacob Andreas Translator: Liu Xiaoqin [New Intelligence Guide]This article is the first technical blog post published by the Berkeley Artificial Intelligence Research (BAIR) lab, detailing the role of Neural Module Networks (NMNs) in complex reasoning tasks and their advantages and challenges compared to other methods. Open the New Intelligence … Read more
New Intelligence Source Compilation Source: deepmind.com; arXiv.org Translator: Wenqiang 【New Intelligence Source Guide】DeepMind today published an official blog introducing their two latest papers, claiming that both have shown promising results in understanding the challenge of “relation reasoning”. One is the Visual Interaction Network (VIN), which can predict the positions of various objects in a visual … Read more
According to a report by MEMS Consulting, the team led by Fan Zhen from the South China Advanced Optoelectronics Research Institute has recently developed an integrated ferroelectric photovoltaic sensor network, achieving zero-energy image perception and real-time processing. This provides a feasible technical route for developing highly robust, high-speed, and low-energy machine vision systems. The related … Read more
Introduction: The Collision of C++ and Neural Networks In today’s programming world, C++ is like a low-key yet powerful “behind-the-scenes hero”, firmly dominating the field of high-performance computing. From the stunningly realistic graphics rendering in game development to precise handling of complex data in scientific computing, C++ builds efficient systems through its near-ultimate control over … Read more
Introduction: The Wonderful Collision of C++ and Neural Networks Today, the wave of AI is sweeping across the globe, from facial recognition payments to intelligent voice assistants, from precise medical imaging diagnosis to self-driving cars, the presence of neural networks is ubiquitous. It has become the core engine driving these innovative applications. In the realm … Read more
Introduction: The Fantastical World of C++ Neural Networks Today, the wave of AI is sweeping across the globe, and C++ neural networks play an extremely important role in this. From intelligent voice assistants that instantly understand and accurately respond to our needs, to self-driving cars that navigate smoothly on the road with precise perception and … Read more