The study of collective decision making in biological and artificial systems addresses critical challenges to understanding how groups achieve consensus ...
Graph neural networks (GNN) is a rapidly advancing field in machine learning, specifically designed to analyze graphically structured data representing ...
Video Large Language Models (VLLM) have emerged as transformative tools for analyzing video content. These models excel at multimodal reasoning, ...
Base models show promise in medicine, especially for assisting in complex tasks such as medical decision making (MDM). MDM is ...
Machine learning, particularly the training of large basic models, relies heavily on the diversity and quality of data. These models, ...
Bitwise plans to shift three of its bitcoin and ethereum futures ETFs from their current long strategies to strategies that ...
Multi-agent reinforcement learning (MARL) is a field focused on developing systems in which multiple agents cooperate to solve tasks that ...
amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications. These agents help users ...
In the field of technology and creative design, logo design and creation has adapted and evolved at a rapid pace. ...
Graph-based methods have gained increasing importance in data retrieval and machine learning, particularly in nearest neighbor (NN) search. NN search ...
