Research & Innovation

Global: New DSL Model Proposes Integrated Learning Approach for Industry 4.0 CybersecurityResearchers Nimra Akram, Atif Ahmad, and Sean B. Maynard introduced the Advanced Dynamic Security Learning (DSL) Process Model on…

Global: AI Model Translates Wearable Activity Data into Natural Language SummariesA novel generative framework integrates minute‑level wearable activity recordings with large language models to produce free‑text daily behavioral summaries. The…

Global: Three-Phase Framework Enhances Security for IoT-Driven Healthcare SystemsA new three-phase security framework aims to bolster the protection of medical data in IoT-enabled healthcare systems. The approach, detailed in a…

Global: New Asynchronous RL Framework Boosts Training Efficiency on NPU PlatformsResearchers have unveiled a reinforcement learning (RL) framework that decouples inference from training, aiming to enhance computational efficiency. The work,…

Global: Machine Learning Power Side-Channel Attack Exposes Weakness in SNOW‑V EncryptionResearchers Deepak, Rahul Balout, Anupam Golder, Suparna Kundu, Angshuman Karmakar and Debayan Das submitted a paper on 25 December 2025 describing a…

Global: kooplearn Introduces Scikit‑Learn Compatible Tools for Evolution Operator LearningA new open‑source library named kooplearn, developed by Giacomo Turri, Grégoire Pacreau, Giacomo Meanti, Timothée Devergne, Daniel Ordonez, Erfan Mirzaei, Bruno…

Global: New Compiler Framework Aligns Homomorphic Encryption with TPU ArchitectureA team of researchers announced a compiler framework called CROSS that enables homomorphic encryption (HE) workloads to run efficiently on Google’s…

Global: Survey Explores Reinforcement Learning Approaches to Data Freshness in Future Wireless NetworksA new survey posted on arXiv on December 14, 2025 examines how reinforcement learning (RL) can be applied…

Global: New Raster-Based Steganography Framework Embeds Multimodal Data in Text GlyphsResearchers have introduced a unified raster-domain steganographic framework, termed the Glyph Perturbation Cardinality (GPC) framework, that enables embedding of heterogeneous…

Global: EcoNet Introduces Active Inference for Multi‑Agent Household Energy ManagementResearchers from several institutions have unveiled a Bayesian framework called EcoNet aimed at coordinating household and neighborhood energy resources. The work,…