Large language models (LLMs) leverage deep learning techniques to understand and generate human-like text, making them invaluable for various applications […]
Category: Multimodal AI
Microsoft’s new AI agent can control software and robots
The researchers’ explanations about how “Set-of-Mark” and “Trace-of-Mark” work. Credit: Microsoft Research The Magma model introduces two technical components: Set-of-Mark, […]
Google DeepMind Releases PaliGemma 2 Mix: New Instruction Vision Language Models Fine-Tuned on a Mix of Vision Language Tasks
Vision‐language models (VLMs) have long promised to bridge the gap between image understanding and natural language processing. Yet, practical challenges […]
Moonshot AI Research Introduce Mixture of Block Attention (MoBA): A New AI Approach that Applies the Principles of Mixture of Experts (MoE) to the Attention Mechanism
Efficiently handling long contexts has been a longstanding challenge in natural language processing. As large language models expand their capacity […]
ByteDance Proposes OmniHuman-1: An End-to-End Multimodality Framework Generating Human Videos based on a Single Human Image and Motion Signals
Despite progress in AI-driven human animation, existing models often face limitations in motion realism, adaptability, and scalability. Many models struggle […]
OpenAI Introduces Deep Research: An AI Agent that Uses Reasoning to Synthesize Large Amounts of Online Information and Complete Multi-Step Research Tasks
OpenAI has introduced Deep Research, a tool designed to assist users in conducting thorough, multi-step investigations on a variety of […]
Qwen AI Releases Qwen2.5-VL: A Powerful Vision-Language Model for Seamless Computer Interaction
In the evolving landscape of artificial intelligence, integrating vision and language capabilities remains a complex challenge. Traditional models often struggle […]
OpenBMB Just Released MiniCPM-o 2.6: A New 8B Parameters, Any-to-Any Multimodal Model that can Understand Vision, Speech, and Language and Runs on Edge Devices
Artificial intelligence has made significant strides in recent years, but challenges remAIn in balancing computational efficiency and versatility. State-of-the-art multimodal […]
Qwen Team Releases QvQ: An Open-Weight Model for Multimodal Reasoning
Multimodal reasoning—the ability to process and integrate information from diverse data sources such as text, images, and video—remains a demanding […]
Infinigence AI Releases Megrez-3B-Omni: A 3B On-Device Open-Source Multimodal Large Language Model MLLM
The integration of artificial intelligence into everyday life faces notable hurdles, particularly in multimodal understanding—the ability to process and analyze […]