Reported by Xinzhi Yuan Editor: QJP [Xinzhi Yuan Guide] One of the biggest challenges in using machine learning (ML) algorithms (especially modern deep learning) for image recognition is the difficulty in understanding why a particular input image produces the predicted result. We have integrated visual interfaces for the state-of-the-art image interpretation techniques over the past … Read more
Machine Heart Column Machine Heart Editorial Department Fine-grained image recognition [1] is an important research topic in visual perception learning, with enormous application value in the new intelligent economy and industrial internet, and has been widely applied in many real-world scenarios… Given the current lack of deep learning open-source toolkits in this field, Professor Wei … Read more
By Lulingzicun The Lunar New Year has arrived, and predicting fortunes for the Year of the Rooster is a popular pastime among young people during their leisure time. Although the act of “fortune-telling” may seem more like a recreational activity, it can boost confidence or provide warnings, effectively “changing fortunes” through psychological suggestion. Interestingly, this … Read more
Reported by New Intelligence Source: Lao Luo Doesn’t Speak Author: Luo Yuchen Editor: Hao Kun [New Intelligence Guide] In fact, ChatGPT can recognize images! You just need to input the image URL and ensure that the image can be accessed without restrictions by OpenAI’s servers. Because there is no upload button for images on the … Read more
Selected from arXiv Compiled by Machine Heart Contributors: Wu Pan Deep neural networks (DNNs) have achieved performances that rival or even surpass humans in many tasks, but their generalization ability is still far inferior to that of humans. A recent paper from Tübingen University and other institutions compared the robustness of target recognition between humans … Read more
1Recommended by New Intelligence Source: Authorized Reprint by Data Party Author: Zhang Changshui [New Intelligence Guide]Professor Zhang Changshui from the Department of Automation at Tsinghua University delivered a speech titled ‘Image Recognition and Machine Learning’ at the ‘Tsinghua Artificial Intelligence’ forum, introducing the development, application, and challenges of image recognition technology, with a particular emphasis … Read more
Image recognition is a subfield of artificial intelligence and a fascinating, rapidly developing technology that has significant impacts on many industries and various aspects of daily life. From facial recognition software to autonomous vehicles, image recognition plays a crucial role in many technologies we interact with daily. Essentially, image recognition is the process by which … Read more
To distinguish between humans and computers, many services on the Internet use CAPTCHA technology, such as email applications, bank system logins, and transaction confirmations in e-commerce systems. Although character recognition remains the most commonly used method for CAPTCHAs, image semantic recognition-based CAPTCHAs have gradually appeared in some important Internet applications and have sparked heated discussions. … Read more
◆ ◆ ◆ Introduction: On June 6th at the Tsinghua Artificial Intelligence Forum, Academician Zhang Bo warned us to face the current “AI craze” with calmness. Professors Wang Shengjin, Zhang Changshui, Zheng Fang, Microsoft’s Rui Yong, and Sogou’s Wang Xiaochuan also spoke. The brilliant speeches from academic leaders and industry guests sparked a wealth of … Read more
Selected from arXiv Authors: Anuroop Sriram et al. Translated by Machine Heart Contributors: Li Yazhou, Li Zenan Baidu recently published a paper proposing the use of Generative Adversarial Networks (GAN) to achieve a robust speech recognition system. The authors state that the new framework does not rely on the domain-specific knowledge or simplified assumptions often … Read more