Research & Innovation

Global: New Quantile Regression Technique Enhances Conditional Coverage in Conformal PredictionA team of machine learning researchers announced on December 2025 that they have developed a novel quantile‑regression‑based method designed to…

Global: New Taxonomy Guides Imitation Learning Experts for Stochastic OptimizationResearchers introduced a systematic taxonomy of expert models for imitation learning (IL) applied to large‑scale combinatorial optimization problems that are formulated…

Global: New Recursive Monte Carlo Tree Search Algorithm Promises Significant Speed GainsResearchers have unveiled a recursive Monte‑Carlo tree search (MCTS) method, termed RMCTS, that claims to accelerate search processes compared…

Global: New Inverse Modeling Approach Addresses Stochastic Pattern FormationResearchers have unveiled a novel inverse modeling technique designed to infer hidden causal parameters from macroscopic observations of stochastic self‑organizing systems. The…

Global: Deep Portfolio Manager Shows Double Risk‑Adjusted Returns in Futures BacktestsA new deep‑learning macro portfolio manager, trained end‑to‑end to maximize a robust, risk‑adjusted utility, reportedly delivers net risk‑adjusted returns roughly…

Global: New Reinforcement Learning Framework Accelerates Bayesian Experimental Design for PDE Inverse ProblemsResearchers have introduced a reinforcement‑learning‑based framework that dramatically reduces the computational burden of sequential Bayesian optimal experimental design…

Global: DynaMo: Runtime Switchable Quantization for MoE with Cross-Dataset AdaptationResearchers led by Zihao Zheng and colleagues released a new quantization framework called DynaMo that allows mixture‑of‑experts (MoE) neural networks to…

Global: Formalizing Explainable AI: Researchers Call for Defined Problems and MetricsA team of researchers led by Stefan Haufe has highlighted fundamental shortcomings in the current practice of explainable artificial intelligence…

Global: Evaluation of Vision Language Model PII Leakage Across Online VisibilityResearchers have introduced a new benchmark, PII-VisBench, to assess how Vision Language Models (VLMs) handle personally identifiable information (PII) when…

Global: Transferability of Adversarial Videos Across Multimodal LLMs AssessedResearchers have introduced a novel Image-to-Video MLLM (I2V-MLLM) attack that significantly improves the transferability of adversarial video samples across video‑based multimodal large…