Introduction This page will guide you on installing TensorFlow on a Raspberry Pi 4 running the 64-bit Bullseye operating system. TensorFlow is a large software library developed specifically for deep learning, which consumes a lot of resources. You can run TensorFlow on a Raspberry Pi 4, but do not expect miraculous performance. If the model … Read more
Conference Invitation Artificial Intelligence (AI) Chip Design Seminar (July 25, Beijing National Convention Center) A domestic startup specializing in AI FPGA acceleration algorithms, Deep Insight Technology, was acquired by the international giant Xilinx just two days ago, causing quite a stir in the industry. Currently, there are quite a number of companies in China working … Read more
The OBOO brand offers a series of indoor/outdoor interactive touchscreen query all-in-one machines, information display screens, AI touch screens, and network LCD advertising screens that all utilize the flagship ZC-3588A industrial control motherboard. The core of the OBOO display terminal, the ZC-3588A, adopts the latest generation of Rockchip’s flagship industrial-grade octa-core processor, which shows significant … Read more
[Image] We can optimize the neural network architecture to fit within the memory and computational constraints of microcontrollers without compromising accuracy. In this article, we will explain and explore the potential of depthwise separable convolutional neural networks for implementing keyword recognition on Cortex-M processors. Keyword recognition (KWS) is crucial for enabling voice-based user interaction on … Read more
Compiled by New Intelligence1 Source: arxiv Authors: Griffin Lacey, Graham Taylor, Shawaki Areibi Abstract In recent years, the rapid increase in data volume and accessibility has led to a shift in the design concepts of algorithms in artificial intelligence. The manual creation of algorithms has been replaced by the ability of computers to automatically learn … Read more
Have you absorbed today’s knowledge? In the past year, we have researched over 2,000 laptops and selected what we believe are the best laptops for machine learning, data science, and deep learning, devices that will stand the test of time for artificial intelligence! As technology continues to evolve, we will provide the best recommendations for … Read more
Reprint please specify the source: http://www.codelast.com/ Software and hardware environment of this article: Raspberry Pi: Model B V1.2, 1GB RAM OS: Raspbian Jessie Deep Learning is very popular now, and Raspberry Pi enthusiasts certainly won’t miss out. There are already many Raspberry Pi projects that have jumped on the Deep Learning bandwagon. Purely for fun, … Read more
1. Background In the application of robots, object detection is an important topic. The rapid development of deep learning has shown significant advantages in detection performance compared to most traditional detection algorithms. However, deploying deep learning models to edge devices for efficient inference remains a challenging area. In robotic control, the Raspberry Pi and Jetson … Read more
Reporting by Machine Heart, Machine Heart Editorial Team For some inference tasks of large models, the bottleneck is not computational power (FLOPS). Recently, many people in the open-source community have been exploring optimization methods for large models. A project called llama.cpp has rewritten the inference code of LLaMa in pure C++, achieving excellent results and … Read more
The Editor Says: Currently, researchers are using various deep learning frameworks. This article introduces six common deep learning frameworks and discusses the advantages of PyTorch compared to them. This article is excerpted from “Deep Learning Framework PyTorch: Introduction and Practice”. For more details, please click Read the Original. The Birth of PyTorch In January 2017, … Read more