Big Data Digest Works Compiled by: Fu Yiyang, Ding Hui, Aileen In the wave of AI, the loudest voices are about neural networks. However, AI is much more than that. Currently, the most funding in the AI technology field is being directed towards research on neural networks. To many, neural network technology seems to be … Read more
Produced by Big Data Digest Compiled by: Li Lei, Da Jieqiong, Yun Zhou If you have opened a browser in the past few years, you have definitely seen the term “neural network” hundreds of times. In this short article, I will give you a preliminary introduction to this field and background information about neural networks … Read more
Recommended by New Intelligence Source: Authorized Reprint from InfoQ Translator: He Wuyu [New Intelligence Overview] Jürgen Schmidhuber, the scientific affairs director at the Swiss AI lab IDSIA, led a team in 1997 to propose the Long Short-Term Memory Recurrent Neural Network (LSTM RNN), which simplifies time-dependent recurrent neural networks, thus earning him the title of … Read more
Author | Bu Er Bei Dou Source | Principle Scientists use a “neural network” similar to the human brain to analyze a complex distortion in spacetime known as “gravitational lensing“. In a paper recently published in Nature, researchers from the SLAC National Accelerator Laboratory and Stanford University stated that the artificial intelligence neural network they … Read more
During CES 2025, NVIDIA unveiled the GPU based on the Blackwell architecture and showcased the performance and features of NVIDIA RTX AI technology at its Editor’s Day event. Subsequently, NVIDIA held a further communication sharing session in Shenzhen, detailing the Blackwell architecture GPU and its functionalities. So, what other aspects are worth our in-depth exploration? … Read more
Click above toComputer Vision Alliance get more insights For academic sharing only, does not represent the position of this public account. Contact for deletion in case of infringement. Reprinted from: Machine Heart Recommended notes from 985 AI PhD Zhou Zhihua’s “Machine Learning” handwritten notes are officially open-source! Includes PDF download link, 2500 stars on GitHub! … Read more
“The stone from other hills can serve to polish jade.” Only by standing on the shoulders of giants can we see further and go farther. On the path of scientific research, we need to leverage favorable conditions to move forward faster. Therefore, we have specially collected and organized some practical code links, datasets, software, programming … Read more
Click the card below to follow Computer Vision Daily. AI/CV heavy content delivered promptly. Click to enter—>【CV Technology】 WeChat group Scan to join the CVer Academic Circle, to gain access to the latest top conference/journal paper ideas and materials from beginner to advanced in CV, as well as cutting-edge projects and applications! Highly recommended for … Read more
Machine Heart reports Machine Heart Editorial Team “Big model developers, you are wrong.” “I discovered a bug in the attention formula that no one has found for eight years. All Transformer models, including GPT and LLaMA, are affected.” Yesterday, a statistician named Evan Miller stirred up a storm in the AI field with his statement. … Read more
Programmers transitioning to AI are following this account👇👇👇 1. Difference Between Attention Mechanism and Self-Attention Mechanism The difference between Attention mechanism and Self-Attention mechanism The traditional Attention mechanism occurs between the elements of the Target and all elements in the Source. In simple terms, the calculation of weights in the Attention mechanism requires participation from … Read more