New method uses crowdsourced feedback to help train robots

Multimodal Large Language Models (MLLMs) have transformed AI by combining Large Language Models with visual encoders. InfiMM-HD is introduced to handle high-resolution images efficiently. It integrates a cross-attention module with visual windows, offering an innovative approach…

The text discusses the HyperHuman framework for generating hyper-realistic human images. It utilizes a large dataset and a Latent Structural Diffusion Model to improve image quality and coherence. The framework demonstrates superior performance and robustness compared…

The Value of MagpieLM-Chat Models Practical Solutions and Benefits: Optimized for alignment with human instructions and ethical standards Two versions available: 4B (efficient) and 8B (high-parameter) Trained using synthetic data for better alignment and predictability Openness…

Predicting At-Risk University Students Using Reduced Training Vector-Based SVM (RTV-SVM) Practical Solutions and Value: Efficiently predicts at-risk and marginal university students, reducing faculty workload and financial strain on institutions. Reduces training vectors by 59.7% while maintaining…

Transforming AI with Dolphin 3.0 Artificial intelligence is changing the way we work and live, but challenges still exist. Many AI systems depend on cloud services, leading to privacy concerns and limited user control. Customizing AI…

Challenges in 3D Motion Tracking Tracking detailed 3D motion from single videos is tough, especially for long sequences. Current methods often track only a few points, lacking the detail needed for a complete scene understanding. They…

A team from the Beijing Academy of AI and Gaoling School of AI at Renmin University introduced Extensible Tokenization, a breakthrough method expanding Large Language Models’ (LLMs) capacity without increasing their context windows. It addresses limitations…

Introduction to Omni-RGPT Omni-RGPT is a cutting-edge multimodal large language model developed by researchers from NVIDIA and Yonsei University. It effectively combines vision and language to understand images and videos at a detailed level. Challenges in…

Enhancing Global Communication Through AI: NVIDIA’s Multilingual Speech Models Enhancing Global Communication Through AI: NVIDIA’s Multilingual Speech Models Introduction to Multilingual Speech Recognition In today’s interconnected world, the ability to communicate across languages is essential for…

The Role of LLMs like ChatGPT in Scientific Research Transforming Scientific Research with Scalable AI and High-Performance Computing In the realm of scientific research, AI has proven to be transformative, especially when applied to high-performance computing…

Researchers have proposed a new method called Random Slices Mixing Data Augmentation (RSMDA) for deep learning. RSMDA blends sections of images to create diverse training samples, overcoming the limitations of single-image-based methods. The strategy RSMDA(R), focusing…

Dr. Sue Desmond-Hellmann, Nicole Seligman, and Fidji Simo have joined the board, while Sam Altman has rejoined.

BONE: A New Approach to Machine Learning Researchers from Queen Mary University of London, the University of Oxford, Memorial University of Newfoundland, and Google DeepMind have introduced BONE, a framework for Bayesian online learning in changing…

The year 2023 saw significant developments in the Generative AI landscape, marked by the release of multiple LLMs and the emergence of LLMOps. While there were challenges in production, it was a year of experimentation and…

Reinforcement Learning: The Quest for Optimal Decision-Making Reinforcement Learning (RL) is a subset of machine learning where an agent learns to make decisions by interacting with the environment to maximize rewards. Foundations and Mechanisms RL involves…

The method of Image Quality Assessment (IQA) standardizes image evaluation by incorporating subjective studies and large multimodal models (LMMs). LMMs capture nuanced understanding of data, improving performance across tasks. Researchers from multiple universities proposed Co-Instruct, a…