Research & Innovation

Global: New Brazilian Dengue Hospitalization Dataset Offers Weekly Granularity for AI ForecastingResearchers from an international team have released a publicly accessible dataset on Zenodo (DOI 10.5281/zenodo.18189192) that aggregates municipal-level dengue…

Global: New Data Synthesis Paradigm Boosts Mathematical Reasoning in Large Language Models Researchers have introduced a novel data synthesis paradigm designed to enhance the mathematical reasoning capabilities of large language…

Global: Machine Learning Models Identify Parkinson’s Disease from Voice Recordings with Reduced Feature SetsResearchers have demonstrated that machine learning models combined with feature selection can accurately detect Parkinson’s disease from…

Global: Study Finds Embedding Depth Influences Dimensional Recovery in Psychological Item PoolsResearchers using a large‑scale Monte Carlo simulation have shown that the depth of large language model (LLM) embeddings can…

Global: Bayesian Robust Framework Improves Algorithmic Trading Under Shifting Market RegimesA new study introduces a Bayesian Robust Framework designed to enhance algorithmic trading performance when market conditions change abruptly. The…

Global: New Multi‑Expert AI Framework Aims to Improve Middle East Event ForecastingOn January 22, 2026, researchers Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See‑Kiong Ng, and Tat‑Seng Chua submitted a paper to arXiv that…

Global: FlashMoE Enables SSD Offloading for Efficient On-Device Mixture-of-Experts InferenceA team of computer scientists has introduced FlashMoE, a system that moves inactive experts of large mixture-of-experts (MoE) language models to…

Global: Streaming Sliced Wasserstein: A New Estimator for Sample StreamsA team of machine learning researchers has unveiled a novel algorithm called Streaming Sliced Wasserstein (Stream‑SW) that estimates the sliced Wasserstein…

Global: Training-Free Embedding Approach Advances Unsupervised Text SegmentationA new method named Embed-KCPD has been introduced to perform unsupervised text segmentation without any training data. The approach represents each sentence as…

Global: New Compiler FuseFlow Enables Cross-Expression Fusion for Sparse Machine Learning ModelsA team of researchers announced a new compiler named FuseFlow in a paper posted to arXiv, aiming to improve…