TL;DR AI Multimodal Explosion: Text to Brain -> Sound to Heart + Vision to Instinct AI Applications Are Technology-Driven; Current Products Have Limited Capabilities Sora Is Not the Goal, but a Solid Step Towards AGI “Interaction” and “Content” Will Become Cheap, While “Authenticity” Will Be a Scarce Resource “AI-Native” Refers to Reconstructing Business Models Based … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and industry researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
1. AI’s Rapid Development Review New quality productivity is driven by the deep application of new technologies, thereby constructing a new type of social production relationship and system. In the 2024 government work report, the development of new quality productivity ranks first among the government’s ten major tasks. As an important driving force for new … Read more
In recent years, the demand for artificial intelligence (AI) software has significantly increased among organizations of all sizes, as they seek to leverage AI to remain competitive. This article details a range of AI software and related services, such as generative AI, machine learning, natural language processing, computer vision, and deep learning, aimed at solving … Read more
Wenzhou University Machine Learning Course, Lecturer: Huang Haiguang Download link: https://github.com/fengdu78/WZU-machine-learning-course Includes PDF materials, code, etc. Continuous updates will follow. Already released: Course Videos Part One Materials (Overview) Part Two Materials (Regression) Part Three Materials (Logistic Regression) Part Four Materials (Naive Bayes) Part Five Materials (Machine Learning Practice) I will also record the course and … Read more
Source: DeepHub IMBA This article is about 2000 words long and is recommended to be read in 5 minutes. This article will introduce some basic tensor operations in PyTorch. PyTorch is a Python-based scientific computing package. Its flexibility allows for easy integration of new data types and algorithms, and the framework is also efficient and … Read more
In an era where the demand for image recognition is experiencing explosive growth, visual content is continuously replacing traditional text content needs, leading to the development of more and more image recognition solution technologies. With the rapid development of image recognition technology, it has found widespread applications across various industries. Based on Amazon Web Services, … Read more
In an era of explosive growth in image recognition demands, visual content is continuously replacing traditional text content needs, leading to the development of more image recognition solution technologies. With the rapid development of image recognition technology, it has found widespread applications across various industries. Based on Amazon Web Services, it can easily meet various … Read more
Scaling up: how increasing inputs has made artificial intelligence more capable The path to recent advanced AI systems has been more about building larger systems than making scientific breakthroughs. By: Veronika Samborska January 20, 2025 Cite this articleReuse our work freely For most of Artificial Intelligence’s (AI’s) history, many researchers expected that building truly capable … Read more
KNN (K-Nearest Neighbors) algorithm is a simple yet effective classification and regression algorithm. Its basic idea is to classify or predict by calculating the distance between samples. Below is an example of KNN algorithm implementation in Python, including data preparation, model training, and prediction. 1. Install Required Libraries If you haven’t installed scikit-learn and numpy, … Read more