Current Research Trends in Latent Space
Executive Summary As of April 2026, “latent space” is no longer a single technical object. Recent surveys now treat it as a broad research landscape rather than a single definition, and the fact that ICLR 2026 hosts a dedicated workshop…
AI Articles from IEEE Xplore
ing ThinkNavi, 200 aritcles were retrieved from IEEE Xplore, and a conceptual structure network model was constructed. By reviewing similar articles clusters, trends in related topics can be identified. Cluster 0: AI in Healthcare The integration of artificial intelligence (AI)…
AI articles from OpenAlex
Using ThinkNavi, 178 articles were retrieved from OpenAlex, and a conceptual structure network model was constructed. By reviewing similar articles clusters, trends in related topics can be identified. Cluster 0: AI Governance and Sovereignty Overview AI governance and sovereignty encompass…
Will OpenAI Prism accelerate scientific research?
1) Official announcements (what OpenAI says Prism is) What it is Launch details & availability Stated goals Capabilities OpenAI highlights (feature-level)From OpenAI’s launch post and product page, Prism is presented as supporting: Integration with other OpenAI products 2) Media coverage…
Grokking in Large Language Models: Concepts, Models, and Applications
Basic Concepts and Historical Background Definition of Grokking: Grokking refers to a surprising phenomenon of delayed generalization in neural network training. A model will perfectly fit the training data (near-100% training accuracy) yet remain at chance-level on the test set…
Why AI Gets “Lost” in Multi-Turn Conversations: Causes and Solutions Explained
Have you ever had an extended conversation with an AI, only to feel like it’s getting confused or stubbornly refusing to adjust its answers? Maybe you noticed it going in circles or giving inconsistent responses as the chat went on.…
Potemkin Understanding in AI: Illusions of Comprehension in Large Language Models
Executive Summary Figure: A newly painted façade of a building in Kolín, Czech Republic conceals the decayed structure behind it. The term “Potemkin” originates from such facades that create an illusion of substance – a fitting metaphor for AI systems…
Physics of Intelligence: A Physics-Based Approach to Understanding AI and the Brain
Dr. Hidenori Tanaka’s “Physics of Intelligence” project (also called the Physics of Artificial Intelligence) is an ambitious research initiative aiming to apply concepts from physics – such as symmetry, conservation laws, and phase transitions – to the study of intelligence…
Exploring DeepSeek: The Future of Inference Learning through Reinforcement Learning
Welcome to an insightful discussion on the DeepSeek paper, where we dive into the intricacies of inference learning and its promising future through reinforcement learning. Join me as we uncover the academic value of DeepSeek and how it addresses the…
Generative Artificial Intelligence: A Systematic Review and Applications
Source: https://link.springer.com/article/10.1007/s11042-024-20016-1?utm_source=chatgpt.com The paper titled “Generative Artificial Intelligence: A Systematic Review and Applications” by Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, and Fiona Carroll, published in August 2024, provides a comprehensive overview of the advancements and applications of generative…
































