Embedded AI Biweekly Briefing Issue 1

Embedded AI Biweekly Briefing Issue 1

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

What is NPU? Why Must AI PCs Have NPU?

What is NPU? Why Must AI PCs Have NPU?

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

Integration of PLC and Deep Learning Algorithms: Achieving a 45% Increase in Anomaly Detection Accuracy!

Integration of PLC and Deep Learning Algorithms: Achieving a 45% Increase in Anomaly Detection Accuracy!

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

The Edge AI Race: Frenzied Acquisitions

The Edge AI Race: Frenzied Acquisitions

Recently, the news of STMicroelectronics’ (ST) acquisition of the Canadian AI startup Deeplite has attracted industry attention.Deeplite claims to be the DeepSeek of edge AI, with unique technologies in model optimization, quantization, and compression that enable AI large models to run faster, smaller, and more energy-efficiently on edge devices. Since DeepSeek popularized distilled models, more … Read more

5 Tips for Building Fun Deep Learning Applications with Python

5 Tips for Building Fun Deep Learning Applications with Python

Authorized transfer from THU Data Group (datapi) Translation: Fang Fang, He Xuan Proofreading: Ding Nanya “———— Deep learning is fundamentally changing everything around us. Many people believe that only experts can apply deep learning in applications, but this is not the case. In this article, we will learn how to use deep learning to build … Read more

Performance Evaluation of PyTorch and MindSpore Frameworks for Ascend NPU: Adapting Open Source Software Stack vs. Internal Software Stack

Performance Evaluation of PyTorch and MindSpore Frameworks for Ascend NPU: Adapting Open Source Software Stack vs. Internal Software Stack

This article evaluates the performance of MindSpore and PyTorch based on Huawei’s Ascend Neural Processing Unit (Ascend NPU). Huawei’s Ascend NPU isa chip designed specifically for accelerating neural network computations, which not onlysupports the self-developed framework MindSpore but alsohas been adapted for PyTorch. However, there is currentlya lack of comparative evaluation studies on MindSpore and … Read more

Ant Group’s Wang Yi: Go+ Effectively Complements Python’s Shortcomings

Ant Group's Wang Yi: Go+ Effectively Complements Python's Shortcomings

Introduction by Ali Sister: Python’s syntax is very flexible, incorporating many features from other languages that are considered convenient. However, the advantages of Python also imply its disadvantages. Ant Group researcher Wang Yi has gained a deeper understanding of Python’s limitations through his hands-on experience in industrial systems, and he believes that Go+ is the … Read more

Deploying Inference with OpenCV 4.8 and YOLO 11 in C++

Deploying Inference with OpenCV 4.8 and YOLO 11 in C++

Click the blue text above to follow us WeChat Official Account:OpenCV Academy Follow us for more knowledge on computer vision and deep learning Since the release ofYOLOv5 version 7.0, and the introduction of YOLOv8 and YOLO 11, previous versions of OpenCV 4.6 can no longer load exported ONNX format models. Only OpenCV 4.7 and above … Read more

How Many Steps Are Needed for an FPGA Chip to Recognize 22 Faces Simultaneously?

How Many Steps Are Needed for an FPGA Chip to Recognize 22 Faces Simultaneously?

1: FPGA and Productivity FPGA is known as a universal chip that can achieve almost any function through logic programming. For more details, refer to “Talking about FPGA – ‘The Universal Chip?’”. So the question arises, how difficult is it to use FPGA to accelerate artificial intelligence and implement deep learning algorithms? It is quite … Read more

How Can Development Boards Be Used? American Scholars Use Jetson Nano to Support Portable AI Prosthetics, Controlling Each Finger

How Can Development Boards Be Used? American Scholars Use Jetson Nano to Support Portable AI Prosthetics, Controlling Each Finger

Source: Machine Heart This article is approximately 1270 words long, recommended reading time is 3 minutes. This article introduces an experimental neural prosthetic controlled by embedded deep learning proposed by researchers from the University of Minnesota and other institutions. How else can Jetson Nano be used? In recent years, deep learning-based neural decoders have become … Read more