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Machine Learning Moves from Experiment to Enterprise in 2026

In early 2026, the financial industry stands at a critical inflection point where machine learning has transitioned from a promising experiment to a foundational operational pillar. With 71% of ...
Hosted on MSN

AI Moves from Pilots to Profit in Finance as 2026 Regulatory Firestorm Arrives

The financial sector has reached an inflection point: what began as isolated AI pilots in 2023-2025 has exploded into enterprise-wide deployment in 2026, reshaping everything from algorithmic trading ...
IEEE

Deep Learning-Based Autonomous Anomaly Detection for Security in SDN-IoT Networks

Abstract: Converging Software-Defined Networking (SDN) and the Internet of Things (IoT) has directed innovative network architectures and applications. However, this fusion exposes security ...
GitHub

MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning (ICCV2025)

This software is a research prototype, solely developed for and published as part of the publication MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot ...
IEEE

Self-Supervised CLIP-Guided for Few-Shot Industrial Anomaly Detection

Abstract: Few-shot industrial anomaly detection (FSAD) aims to identify unseen defects using only a limited number of normal samples. However, most existing approaches still rely heavily on auxiliary ...