Deep Learning

Crack Detection: Identifying and Marking Cracks in Images with Matlab Code

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Crack Detection: Identifying and Marking Cracks in Images with Matlab Code

✅ Author Profile: A Matlab simulation developer passionate about research, skilled in data processing, modeling simulation, program design, obtaining complete code, reproducing papers, and scientific simulation. 🍎 Previous Review: Follow my personal homepage:Matlab Research Studio 🍊 Personal Motto: Investigate to gain knowledge, complete Matlab code and simulation consultation available via private message. 🔥 Content Introduction … Read more

Next Generation Social Engineering: Bypassing Facial Recognition Attacks

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Next Generation Social Engineering: Bypassing Facial Recognition Attacks

0x01 Introduction Recently, I saw in the team chat that AI can now create videos from a single photo to bypass facial recognition features. This led me to think and research, as this will be the next generation of social engineering attacks. 0x02 Facial Recognition Facial Recognition is a biometric technology based on facial features. … Read more

A Deep Dive into Multi-Head Attention: The Versatile Core of GPT

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A Deep Dive into Multi-Head Attention: The Versatile Core of GPT

In the realm of deep learning, the attention mechanism is akin to a master of its craft. Originally emerging in machine translation, Attention quickly became a powerful tool for addressing long sequence dependency issues, enabling models to focus on truly important information. This is similar to how, in a noisy gathering, your brain automatically filters … Read more

Setting Up a Linux GPU Docker Algorithm Environment for Deep Learning with Scala 3

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Setting Up a Linux GPU Docker Algorithm Environment for Deep Learning with Scala 3

We often use Linux as our algorithm server, typically using Ubuntu, CentOS, or Huawei’s Euler system. However, some small workshops directly use Windows systems as algorithm servers. If you encounter a company still deploying servers on Windows, it is advisable to stay away, as they are either inexperienced or have serious issues, which we refer … Read more

Exploring Python Programming for AI Chips

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Exploring Python Programming for AI Chips

Exploring Python Programming for AI Chips In today’s technological era, artificial intelligence (AI) has become a hot topic. With the advancement of hardware technology, chips specifically designed for AI tasks are gradually coming into our view. These chips typically feature high performance and low power consumption, making them well-suited for applications such as deep learning … Read more

AI Chess: A Challenge That Leaves Humans in Tears!

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AI Chess: A Challenge That Leaves Humans in Tears!

Title: AI Chess: A Challenge That Leaves Humans in Tears! In today’s rapidly evolving technology landscape, artificial intelligence has permeated every aspect of our lives. From the initial stages of industrial automation to the current hot topics of autonomous driving and smart homes, AI technology continues to reshape our understanding. In the realm of competitive … Read more

Next Generation Social Engineering: Bypassing Face Recognition Attacks

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Next Generation Social Engineering: Bypassing Face Recognition Attacks

Note:This is for security research and learning purposes only. If the tools are used for other purposes, the user assumes all legal and joint responsibilities. The author and publisher do not bear any legal or joint responsibilities. Statement:The security tools and projects shared by this public account are sourced from the internet and are for … Read more

Feasibility of AI for Skill Assessment in Robot-Assisted Surgery

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Feasibility of AI for Skill Assessment in Robot-Assisted Surgery

Objective This study aims to develop an automated surgical skill assessment tool using deep learning technology for surgical training. Background In robot-assisted surgery (RAS), precise surgical operations are crucial for prognosis. Currently, the training of novice surgeons relies on the on-site guidance and skill assessment by experienced physicians, and artificial intelligence (AI) technology is expected … Read more

Multi-Grade Deep Learning | Ji Bo Lecture Series Issue 77

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Multi-Grade Deep Learning | Ji Bo Lecture Series Issue 77

✦ Lecture Information ✦ Lecture Content Summary The remarkable success of deep learning is widely recognized, yet its training process remains a black box. Standard deep learning relies on a single-grade approach, where a deep neural network (DNN) is trained end-to-end by solving a large, nonconvex optimization problem. As the depth of the network increases, … Read more

Application and Prospects of Artificial Intelligence in Orthopedic Surgical Robots

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Application and Prospects of Artificial Intelligence in Orthopedic Surgical Robots

China Medical Procurement NetworkPublic Service Platform for Medical Device Procurement in China 【Abstract】With the development of artificial intelligence (AI), the integration of orthopedic surgical robots and AI has become a current research hotspot. Machine learning and deep learning are important research directions in AI and have been successfully applied in fields such as computer vision … Read more