November 14, 2025 - We still have serious gaps in transportation data collection, both at the national level (passengers) and ...

Algorithms can’t read your inner signals. Trusting your gut means knowing when your feelings are the crucial missing data ...

Imagine if every neuroscientist in the world could suddenly speak the same language and share their discoveries instantly.

Many life sciences manufacturers are struggling to fill in the gap between data and knowledge. It is a problem born from ...

Even though enterprises are swamped with data, they''re still struggling to turn it into reliable strategic decisions. This ...

Abstract: Target detection is one of the most important tasks in the field of computer vision to classify and locate targets in images or videos. This paper proposes a new algorithm for extracting ...

Abstract: High-quality and diverse datasets are crucial for supervised learning in industrial defect detection, yet collecting such data remains challenging. Synthetic data generation offers a ...