CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Now, the biggest change involves incorporating AI tools to speed analysis and catch anomalies or outliers that humans could ...

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

Researchers at Digital University Kerala develop AI system for antenna fault detection, revolutionizing communication and aerospace industries.

GenAI and ML workloads are causing a ramp up in silent data corruption. Multi-stage detection with on-chip, AI-based ...

Workloads, system performance, and the need to continually learn and adapt are demolishing constraints that have made chip ...

Indian researcher Drumil Joshi's AI breakthroughs (Deep SOMs, VIBRIS, weather-smart maintenance) are set to supercharge India's solar/wind energy efficiency, reliability, and autonomy.

Rudy de Anda, Head of Strategic Alliances at Penguin Solutions, outlines why virtual machines and containers are often better together.

Transforming Industries Through Smart Robotics and Hyperautomation In an era where digital transformation is no longer ...

Data streaming platform company Confluent staged its annual user and partner practitioner conference in New Orleans this week ...

A trial using sonar and artificial intelligence to detect crocodiles is due to begin within 12 months. The Far North Queensland project aims to protect people in waterways from crocodile attacks. A ...