GitHub

Inefficient 2D convolution compared to JAX

When comparing a 2D depthwise convolution implemented in PyTorch vs. pure JAX/XLA on GPU, I observed that the PyTorch version runs roughly 3× slower and draws substantially more power than the ...
InfoQ

Beyond the Gang of Four: Practical Design Patterns for Modern AI Systems

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Ars Technica

As Internet enshittification marches on, here are some of the worst offenders

Two years ago, a Canadian writer named Cory Doctorow coined the phrase "enshittification" to describe the decay of online platforms. The word immediately set the Internet ablaze, as it captured the ...
GitHub

hsu26zq/ARM-2D-Convolution

This program reads a 3 x 3 kernel and then performs convolution. The first set can handle arbitrary input sizes, whereas the second set is limited to a fixed input size of 4 x 5.
Ars Technica

Google Cloud explains how it accidentally deleted a customer account

Earlier this month, Google Cloud experienced one of its biggest blunders ever when UniSuper, a $135 billion Australian pension fund, had its Google Cloud account wiped out due to some kind of mistake ...
IEEE

VLSI Architecture of High Throughput Processing Unit for Efficiently Executing 2D Convolution for Deep Neural Network based Applications

Abstract: Convolution serves as a foundational component enabling Deep Neural Networks (DNN) to extract meaningful features from input data. This paper focuses on the real-time architecture of a ...
Frontiers

Fast Identification of Soybean Seed Varieties Using Laser-Induced Breakdown Spectroscopy Combined With Convolutional Neural Network

1 College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China 2 Huanan Industrial Technology Research Institute of Zhejiang University, Guangzhou, China Soybean seed ...