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
Recently, Alibaba algorithm expert Kun Cheng participated in the ICASSP 2017 conference with the paper titled Improving Latency-Controlled BLSTM Acoustic Models for Online Speech Recognition. Author Kun Cheng communicating with attendees The research of this paper is based on the premise that to achieve better speech recognition accuracy, the Latency-controlled BLSTM model was used in … Read more
Excerpt from Awni Translation by Machine Heart Contributors:Nurhachu Null,Lu Xue Since the application of deep learning in the field of speech recognition, the word error rate has significantly decreased. However, speech recognition has not yet reached human-level performance and still faces multiple unresolved issues. This article discusses various aspects of the unresolved problems in speech … Read more
HuggingGPT is a recent representative in the hot direction of Agents, enabling LLMs like ChatGPT to utilize various models from the HuggingFace community (including but not limited to text-to-image, image-to-text, speech-to-text, and text-to-speech), allowing LLMs to drive other intelligent agents for multimodal capabilities. The original paper and Chinese introduction are as follows: Original Paper HuggingGPT：https://arxiv.org/abs/2303.17580 … Read more