Research & Innovation

Global: Machine Learning Models Using SAR Data Map Flood Susceptibility in Kenya’s Nyando WatershedA research team has leveraged Synthetic Aperture Radar (SAR) imagery together with environmental and hydrological variables to…

Global: Machine Learning Enhances Flood Susceptibility Mapping in Kenya’s Nyando WatershedIn May 2024, a research team employed machine learning techniques to assess flood risk in the River Nyando watershed of…

Global: Neural Architecture Search Enables Automated Rediscovery of Sparse Recovery AlgorithmsOn December 25, 2025, researchers Patrick Yubeaton, Sarthak Gupta, M. Salman Asif, and Chinmay Hegde submitted a preprint to arXiv…

Global: Neural Architecture Search Enables Automated Discovery of Sparse Recovery AlgorithmsA research team from the University of California, Berkeley, and collaborators announced a meta‑learning framework that can automatically rediscover classic…

Global: Curriculum-Guided Adaptive Recursion Cuts Training Time for Recursive Reasoning ModelsResearchers behind a recent arXiv preprint have introduced a training framework called Curriculum-Guided Adaptive Recursion (CGAR) that shortens the training…

Global: Curriculum-Guided Adaptive Recursion Improves Training Efficiency of Recursive Reasoning ModelsResearchers led by Kaleemullah Qasim released a new approach called Curriculum‑Guided Adaptive Recursion (CGAR) in a paper posted to arXiv…

Global: AVP-Fusion Deep Learning Framework Boosts Antiviral Peptide Prediction Accuracy A new two-stage deep learning framework called AVP-Fusion was introduced in a December 2025 preprint on arXiv, aiming to improve…

Global: New Deep Learning Model Boosts Antiviral Peptide IdentificationA team of scientists has introduced a two‑stage deep learning framework, AVP‑Fusion, in a recent arXiv preprint, reporting an accuracy of 0.9531…

Global: Deterministic Denoising Method Boosts Discrete Diffusion ModelsResearchers Hideyuki Suzuki and Hiroshi Yamashita have introduced a deterministic denoising algorithm for discrete-state diffusion models, detailed in a paper posted to arXiv…

Global: Deterministic Denoising Algorithm Proposed for Discrete Diffusion ModelsResearchers Hideyuki Suzuki and Hiroshi Yamashita introduced a deterministic denoising algorithm for discrete-state diffusion models, according to a paper posted on arXiv…