Written by / Li Xihan, Google Developers Expert This article is excerpted from “Simple and Rough TensorFlow 2.0” In the previous article, we introduced the widely used convolutional neural networks in the field of images and their implementation in TensorFlow 2.0. This article continues to introduce another widely popular neural network architecture, namely the recurrent … Read more
Written by / TensorFlow Team Welcome to the second part of the introduction to TensorFlow Datasets and Estimators series (click here for the first part). In this article, we will introduce Feature Columns – a data structure that describes the features needed for the estimator to train and make predictions. As you will see below, … Read more
Written by Laurence Moroney, AI Technology Advocate We know that machine learning technology can be used to solve various scenarios (such as healthcare) important tasks, and educators and experts in various fields are guiding and training developers on how to use machine learning technology to solve real-world problems. We are excited to share with everyone … Read more
Author / Hangzhou Danna Technology Co., Ltd. Ai Homework is an APP that automatically grades math homework using AI technology. In just one year since its launch, it has accumulated over ten million users, helping many teachers and parents save time and improve efficiency. Within the Ai Homework APP, there is a feature called “Mental … Read more
Dream Morning Reporting from Aofeisi Quantum Bit | Public Account QbitAI What algorithm is most likely to win prizes in machine learning competitions on Kaggle? You might say: Of course, it’s deep learning. Not really. According to statistics, the most winning algorithms are gradient boosting algorithms like XGBoost. This is strange. Deep learning shines in … Read more
Interpretation: AI Generates the Future This article introduces the Multimodal Large Language Model (MLLM), its definition, applications using challenging prompts, and the top models that are reshaping computer vision. Table of Contents What is a Multimodal Large Language Model (MLLM)? Applications and Cases of MLLMs in Computer Vision Leading Multimodal Large Language Models Future Outlook … Read more
“Multimodal” refers to the ability to simultaneously process and understand various types of information or data. In the field of artificial intelligence, modality typically refers to the representation or perception of information, such as text, images, audio, and video. For example, humans perceive the world through multiple senses, including sight, hearing, and touch, which is … Read more
With the rapid development of technology, generative artificial intelligence (AI) has become an important force driving educational reform. Zhongguang Shuke Group has been committed to utilizing advanced technological means to enhance the quality and efficiency of education. This article will explore various application examples of generative AI in classroom teaching, demonstrating how it helps teachers … Read more
The wave of artificial intelligence is gradually rising, flowing into the field of education, and becoming a remedy for the “impossible triangle of education“. However, more and more studies indicate that immediate convenience may come at the cost of long-term capability. Who Is the Alarm Bell Ringing For? In 2024, Wharton School published a paper … Read more
Generative AI 2.0 Transforming From Content Generation to World Simulation Recently, the AI community has become lively again! OpenAI’s newly released video generation model Sora has truly amazed everyone, capable of generating realistic 60-second videos, as if scenes from a sci-fi movie have been brought into reality. There’s also the highly anticipated GPT-5, which, although … Read more