Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

Discover how AI-driven particle vision analysis is revolutionizing smart manufacturing. This review article explores cutting-edge advancements in ...

A recent review published in Engineering highlights particle vision analysis (PVA), a rapidly developing field at the intersection of artificial ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

A video is circulating on social media in which a leopard enters the backyard of a house where a child is playing, and a cat confronts the leopard and scares it away, protecting the child. The video ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

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