Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Figure 1: Schematic illustration of Anti-Interference Diffractive Deep Neural Network. The network can classify handwritten digits (0-5) in multi-object scenarios, including intra-class interference, ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems and presented a deep learning-driven convolutional neural network approach ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...