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

Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...

Intel is looking to hire an AI Software Solutions Engineer who will develop high-performance AI solutions which will be delivered through internal engineering t ...

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 ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

The explosion in data quantity has kept the marriage of computing and statistics thriving through successive hype cycles: ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...