Research & Innovation

Global: New Two-Stage Framework Enhances Spatial Reasoning in Large Language ModelsResearchers have introduced a two-stage approach designed to improve spatial reasoning capabilities in large language models (LLMs), addressing challenges in…

Global: New RNN Architecture Reduces Complexity via Orthogonal Memory UpdatesBackground and MotivationResearchers announced in an arXiv preprint (arXiv:2504.05646v2, posted April 2025) a novel recurrent neural network (RNN) design intended to…

Global: Study Evaluates LLM Performance on Missouri Collegiate Mathematics Competition ProblemsThree leading large language models—GPT-4o-mini, Gemini-2.0-Flash, and DeepSeek-V3—were tested on a set of underrepresented problems from the Missouri Collegiate Mathematics…

Global: New Transfer Learning Framework Enhances Decentralized Manufacturing OptimizationResearchers Steve Yuwono, Dorothea Schwung, and Andreas Schwung have introduced an online transfer learning approach for state-based potential games (TL‑SbPGs) aimed at…

Global: Interactive Evaluation of Foundation Model Spatial ReasoningA team of researchers released a new study in December 2025 that proposes an interactive evaluation framework for assessing how foundation model (FM)…

Global: Multi-Agent AI Framework Streamlines Aerodynamic Design of NACA AirfoilsA team of researchers introduced a multi‑agent artificial intelligence framework aimed at improving the engineering design process, particularly for aerodynamic optimization…

Global: FAIR Researchers Advance Representation-Space Planning with JEPA-WM ModelResearchers at Facebook AI Research (FAIR) have introduced a new world model planning framework, termed JEPA-WM, that demonstrates superior performance on both…

Global: New Open-Source Suite Enables Domain-Agnostic Evaluation of Sequence LearningResearchers have released a pair of software tools designed to generate and benchmark symbolic sequences across multiple fields, including linguistics, psychology,…

Global: Adaptive Agent Aligns Belief with World State Using LLM-Guided ExplorationA team of researchers—Seohui Bae, Jeonghye Kim, Youngchul Sung, and Woohyung Lim—presented a test-time adaptive agent on December 30, 2025,…

Global: Hierarchical Generative Model Boosts Slate Recommendation Accuracy and SpeedResearchers announced a new framework called HiGR that aims to improve slate recommendation on online platforms by addressing semantic entanglement in…