The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AI-based procurement software is used by organisations for sourcing goods, managing suppliers, and managing overall spend.

THIRUVANANTHAPURAM: In a bid to shift to predictive policing using artificial intelligence, the CCTNS team of the State Crime ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...

Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...

The project focuses on developing an integrated software package designed to process large-scale time-series data generated in smart factory and smart city environments using CNN- and RNN-based AI ...

Vibration sensors are growing rapidly due to predictive maintenance, Industrial Internet of Things (IIoT), and ...

Most Comprehensive AI Suite in Digital Signage. Sterling, VA, Feb. 02, 2026 (GLOBE NEWSWIRE) -- Mvix, a leading provider of ...

AI’s carbon footprint rivals aviation. "Tiny AI" emerges as a greener alternative. Can SLMs and edge-optimised chips shrink ...