Artificial Intelligence (AI) has made significant strides in various fields, including healthcare, finance, and education. However, its adoption is not without challenges. Concerns about data privacy, biases in algorithms, and potential job displacement have raised valid questions about its societal impact. Additionally, the “black box” nature of many AI systems makes it difficult to understand The post What is Artificial Intelligence (AI)? appeared first on MarkTechPost.

Developing Graphical User Interface (GUI) Agents faces two key challenges that hinder their effectiveness. First, existing agents lack robust reasoning capabilities, relying primarily on single-step operations and failing to incorporate reflective learning mechanisms. This usually leads to errors being repeated in the execution of complex, multi-step tasks. Most current systems rely very much on textual The post InfiGUIAgent: A Novel Multimodal Generalist GUI Agent with Native Reasoning and Reflection appeared first on MarkTechPost.

Large reasoning models are developed to solve difficult problems by breaking them down into smaller, manageable steps and solving each step individually. The models use reinforcement learning to enhance their reasoning abilities and develop very detailed and logical solutions. However, while this method is effective, it has its challenges. Overthinking and error in missing or The post Meet Search-o1: An AI Framework that Integrates the Agentic Search Workflow into the o1-like Reasoning Process of LRM for Achieving Autonomous Knowledge Supplementation appeared first on MarkTechPost.