Decentralized smart grids are especially prone to cyberattacks due to their edge-based architecture, which integrates ...

Intelligent nanophotonics, combining nanophotonics and machine learning, is transforming optical information processing. This ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

In an era where cloud-native architectures are at the forefront of digital transformation, regulatory compliance has become ...

Press Release Helm.ai, a leading provider of advanced AI software for high-end ADAS, autonomous driving, and robotics automation, today introduced Helm.ai Driver, a real-time deep neural network (DNN) ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

At the core of AI’s value in cancer care is its performance in early detection and diagnostic support, where deep learning ...

Deep learning provides real time insights on the quality, safety, profitability, and schedule of construction projects.

The tw-day NVIDIA’s Deep Learning Ambassador workshop was held at SKUAST Kashmir, led by an NVIDIA-certified instructor Dr.

Fashion design: Deep learning could be used to generate new fashion designs based on a given set of input parameters, such as ...