Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

MCK Network Solutions and CORTAI Partner to Deliver Predictive AI Security

MCK Network Solutions becomes a proactive sentinel, integrating CORTAI predictive AI to neutralize threats up to 48 ...
IEEE

DPMN: Deep Prior Mamba Network for Hyperspectral Anomaly Detection

Abstract: Recent advancements in hyperspectral anomaly detection (HAD) utilizing deep learning have garnered significant attention due to their superior performance. However, most existing methods ...
IEEE

Optimizing PatchCore for One-Shot Industrial Anomaly Detection

PatchCore is a widely used algorithm for industrial anomaly detection, due to its high performance compared to alternative approaches. This paper focuses on optimizing its architecture for the ...
AZoRobotics

Can AI Run Its Own Data Centers?

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
The Manila Times

Australian Mid-Market GCCs Face New Pressure to Tighten Cost Governance as AI and Cloud Spending Rises

BENGALURU, KA, June 26, 2026 (GLOBE NEWSWIRE) -- BENGALURU, KA - June 26, 2026 - - ...

digna Introduces Python SDK and Docker Deployment in Release 2026.06

Vienna, Austria, June 25, 2026 — digna, the European data quality and observability platform, today announced the release of digna 2026.06, introducing a new Python SDK and Docker deployment support ...

New Study on Synthetic Data-Driven Sub-surface Anomaly Detection by VE3 AI Research

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...