Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

With the right tools, fiber can be used to hear footsteps, detect ground movement, feel shifts in temperature and sense when ...

Rather than searching for the hedgehogs directly, researcher Gabriel Mahler developed an AI model that identifies brambles, ...

Camera traps are ubiquitous in conservation. They’re deployed to monitor biodiversity, study animal behavior, observe ...

Your phone doesn’t just react anymore; it predicts, adapts and sometimes acts before you lift a finger. Whether adjusting ...

A new smart bracelet sensor detects emotions using AI without relying on the face. It analyzes bodily signals such as ...

The 5-day International Workshop on Deep Learning and Artificial Intelligence (DLAI9), held in collaboration with the Asia-Pacific Neural Networks Society (APNNS) and IEEE Geoscience and Remote ...

Pets express emotions through gestures, sounds, and behaviors, but humans often miss the finer details. A wagging tail may ...

Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto ...

No doubt that when there are several washing machines available in the market, it gets quite difficult to understand which ...