Research & Innovation

Global: New Preprint Proposes Noise-Compensated Sharpness-Aware Minimization for Learning with Corrupted LabelsOn January 24, 2026, researchers Jiayu Xu and Junbiao Pang released a paper titled “Noise-Compensated Sharpness-Aware Minimization for Noisy…

Global: Flow-Based Technique Converts Open-Boundary Lattice Configurations to Periodic EnsemblesIn January 2026, a team of theoretical physicists announced a scalable, exact flow‑based method for eliminating boundary artifacts caused by open…

Global: New Formalism Enables Conformal Defects in Neural Network Field Theories A team of researchers including Pietro Capuozzo, Brandon Robinson, and Benjamin Suzzoni announced a new formalism for constructing conformally…

Global: New Globally Optimal Algorithm Targets Misclassifications in Two-Layer Neural NetworksAccording to a recent arXiv preprint, a team of computer scientists has presented the first globally optimal algorithm for empirical…

Global: PPO-PGDLC Enhances Policy Robustness via Adversarial State Perturbations and Lipschitz-Regularized CriticA team of machine‑learning researchers introduced a novel reinforcement‑learning algorithm aimed at improving policy performance when transition dynamics are…

Global: New Write-Gated KV Technique Cuts Memory Use for Long-Context Language ModelsResearchers led by Yen‑Chieh Huang and colleagues released a study on December 19, 2025, describing a novel method to…

Global: New Policy-Search Framework Boosts Discrete Variational Autoencoders on High-Dimensional DataA team of machine‑learning researchers announced a novel training framework for discrete variational autoencoders (VAEs) that leverages policy‑search techniques. The…

Global: Feature-Space Smoothing Offers Certified Robustness for Multimodal Language ModelsResearchers from an international team announced a new framework called Feature-space Smoothing (FS) on January 30, 2026, in a paper posted…

Global: Curiosity-Driven Knowledge Retrieval Boosts Mobile Agent Performance on Android TasksA newly proposed framework aims to enhance smartphone automation by addressing knowledge gaps in mobile agents. Developed by a research…

Global: Researchers Propose Prompt Counterfactual Explanations to Interpret Generative AI OutputsIn January 2026, a team of computer scientists released a study on arXiv that introduces a new framework for generating…