Click the blue text above to follow for more exciting content. This article contains a total of 825 words, and reading it will take about 2 minutes. The power consumption of GPUs is very high because they cannot effectively utilize on-chip memory and need to frequently read from off-chip DRAM. Although their advantage in throughput … Read more
Click the “blue text” above to follow for more exciting content. This article contains a total of 1444 words, and reading the full text will take about 4 minutes. Data centers & AI are the third largest application market for global FPGA chips, accounting for 15%. As an emerging application market, it is expected to … Read more
Introduction MaSIF-neosurface is a computational tool aimed at learning new surfaces (neosurfaces) of protein-small molecule complexes, designed to identify potential binding regions within the new surface structures formed after protein binding with small molecules. This method proposes a deep learning-based protein design strategy that can be used to develop artificial proteins capable of specifically recognizing … Read more
Produced by Big Data Digest Compiled by: Zhu Yihui, Xue Qing, Xiao Yu Can object detection be achieved with just 10 lines of code?! The author of this article and his team have built a Python library called ImageAI, which integrates popular deep learning frameworks and computer vision libraries. This article will guide you step-by-step … Read more
Student Xin Zhe from the research group successfully ported the deep learning gait recognition algorithm GaitSet to the Allwinner V853 development board as part of his undergraduate thesis titled “Research on Gait Recognition Based on Embedded Systems”. This study was tested on the CASIA-B dataset, achieving a gait recognition accuracy of 94.9% under normal walking … Read more
Xinzhe Xin from the Communication Research Group at Beijing Institute of Technology successfully ported the deep learning gait recognition algorithm GaitSet to the Allwinner V853 development board as part of his undergraduate thesis titled “Research on Gait Recognition Based on Embedded Systems.” This study was tested on the CASIA-B dataset, achieving a gait recognition accuracy … Read more
The Role of C Language in Deep Learning: Methods and Examples In the field of deep learning, Python is often the preferred programming language due to its vast ecosystem and rich library support. However, in certain specific scenarios, the C language is particularly important due to its high performance and low-level control capabilities. In this … Read more
Embedded AI Biweekly Briefing (2017-07-24) Click the link at the end of the article to read the original text and jump to our biweekly briefing homepage, where you can read the version with item hyperlinks. Industry News OpenBLAS releases version 0.2.20 Clarifai launches SDK for training AI on your iPhone | VentureBeat We ported CAFFE … Read more
In the past, we talked about two important hardware components in computers, namely the CPU (Central Processing Unit) and GPU (Graphics Processing Unit). Now, we are increasingly discussing NPU. So, what is NPU? 01What is NPU? Many people are familiar with CPUs and GPUs, but not so much with the recently popular NPU. In fact, … Read more
Introduction Hello everyone! Today, I want to share with you a technological breakthrough that is exciting the field of industrial automation — the integration of PLC and deep learning algorithms. Don’t worry, I won’t bombard you with obscure terminology, but will use the most straightforward language to help you understand this game-changing technology combination.Trust me, … Read more