New Delhi is using AI for an array of services but a consolidated approach is needed for deeper adoption, write Twesh Mishra ...
Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...
That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...
Discover the best Application Performance Monitoring (APM) tools that enable enterprises to enhance application performance, ensure seamless digital experiences, and drive long-term growth in 2025.
Explore the essential incident management tools tailored for CIOs in 2025, focusing on AI automation, downtime reduction, and improved operational efficiency. Uncover their features, pricing, and ...
Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
In the race to deliver faster, smarter, and more resilient networks, CSP and telco leaders are finding a powerful ally in ...
Process Analytical Technology (PAT) software offers significant opportunities in enhancing real-time data monitoring, process optimization, and regulatory compliance across industries like ...
Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...
Executive Summary Modern cyber adversaries no longer depend on loud malware, obvious exploits, or easily identifiable indicators of compromise. Instead, they leverage legitimate credentials, trusted ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
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