Author / Li Xi 0 Introduction This article organizes previous research on multimodal visual structure learning from a new perspective, focusing on the characteristics and applications of spherical panoramic images. Spherical images are mostly related to fisheye or 360° panoramic views, containing a wealth of structural knowledge, primarily aimed at applications such as autonomous driving, … Read more
MLNLP community is a renowned machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
On August 26, 2024, Professor Shen Lin’s team from Peking University Cancer Hospital and Professor Dong Bin’s team from Peking University published a groundbreaking research article titled “Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data” in the journal Signal Transduction and Targeted Therapy (Impact Factor: 40.8). This study … Read more
About 3800 words, recommended reading time is 7 minutes. This article provides a comprehensive overview of MM-LLMs. 1. Introduction Multimodal large language models (MM-LLMs) have made significant progress over the past year by optimizing modality alignment and human intent alignment, enhancing existing unimodal foundational models (LLMs) to support various MM tasks. This article provides a … Read more
Introduction: The author will delve into the concept of Multimodal Large Language Models (MLLMs). This model not only inherits the powerful reasoning capabilities of Large Language Models (LLMs) but also integrates the ability to process multimodal information, enabling it to easily handle various types of data, such as text and images.©️【Deep Blue AI】 In short, … Read more
Click the above“Mechanical and Electronic Engineering Technology” to follow us 1. Definition and Concept Multimodal learning is a machine learning method that utilizes various data modalities to train models, which may include text, images, audio, video, etc. Multimodal AI technology integrates multiple data patterns, such as text, images, videos, and audio, to provide a more … Read more
Multimodal AI The Future of Artificial Intelligence New Directions and Challenges in Intelligent Development In the rapidly advancing tide of technology, artificial intelligence is evolving at an astonishing speed, and the rise of multimodal AI has brought us an unprecedented intelligent revolution. From the previous single modality to today’s diverse integration, multimodal AI is reshaping … Read more
Source: Data Analysis and Applications 1 Introduction Our experience of the world is multimodal — we see objects, hear sounds, feel textures, smell odors, and taste flavors. A modality refers to the way something occurs or is experienced; when a research question involves multiple modalities, it has multimodal characteristics. For artificial intelligence to make progress … Read more
In recent years, with the wide availability of data resources, leaps in computing power, and advancements in machine learning, artificial intelligence (AI) technology has made remarkable progress. Particularly in the development of foundational models, we have witnessed significant achievements—AI models trained on vast amounts of unlabelled data have given rise to what is known as … Read more
· Click the blue text to follow us Introduction Traditional artificial intelligence (AI) is often referred to as narrow or weak AI, focusing on performing specific tasks. With the continuous development of AI technology, a new form of AI has emerged called generative AI, also known as “next-generation AI.” This article will briefly analyze the … Read more