Research & Innovation

Global: Researchers Propose Neuron-Level Fine-Tuning to Reduce Sycophancy in Large Language ModelsOn January 26, 2026, a team of nine researchers led by Claire O’Brien announced a novel approach for aligning…

Global: Light‑weight Multi‑Information Fusion Network Sets New Benchmark for Image DeblurringA team of computer‑vision researchers released an updated version of their image‑deblurring model on Jan. 27, 2026, extending work originally…

Global: New Two-Stage Framework Boosts Graph Feature Imputation Under Extreme SparsityResearchers have introduced a novel approach to tackle the persistent problem of missing node attributes in graph‑structured data. The method,…

Global: Stress-Testing Reveals Robustness Gaps in Fourier Neural Operators Across Diverse PDEsA recent study introduces a systematic stress‑testing framework for Fourier Neural Operators (FNOs) and evaluates their robustness under distribution…

Global: New Bi-Level Algorithm Tackles Online Provisioning and Scheduling ChallengesA novel algorithm has been introduced to simultaneously manage slow-time-scale provisioning decisions and fast-time-scale queue-dependent scheduling in network resource allocation systems.…

Global: New Spectral‑Tensor Approach Enables Learning of POMDP Parameters with Hidden StatesA new study released on arXiv proposes a method for autonomously learning the parameters of discrete Partially Observable Markov…

USA: Adaptive Regularization Mitigates Overfitting in Large-Scale Sparse Embedding ModelsResearchers Mang Li and Wei Lyu have introduced an adaptive regularization technique designed to curb the one‑epoch overfitting phenomenon that frequently…

Global: Lightweight Mixture-of-Experts Model Shows Strong Time-Series Forecasting PerformanceA study released on arXiv on 18 September 2025 and updated on 27 January 2026 introduces a new model for time‑series forecasting…

Global: Winning Solution in VN2 Inventory Planning ChallengeThe VN2 Inventory Planning Challenge, a competition that simulates weekly inventory decisions for retail chains with a two‑week product delivery lead time, was…

Global: Framework Introduces Sample-Complexity Guarantees for Zeroth-Order Optimization with Generative PriorsA team of computer scientists has presented a new framework that tackles zeroth-order optimization problems while respecting qualitative constraints by…