Neural machine translation (NMT) systems typically return a single translation for each input text segment. This means that when the input segment is ...

Most state-of-the-art computer vision models depend on supervised learning, in which labeled data is used for training. But labeling is costly, and the cost ...

Embodied artificial intelligence (EAI) aims to train embodied agents to solve challenging multimodal tasks involving navigation and object manipulation ...

Alexa Arena is a new embodied-AI framework developed to push the boundaries of human-robot interaction. It offers an interactive, user-centric framework for ...

In an effort to improve the performance of robots that pick, sort, and pack products in warehouses, Amazon has publicly released the largest dataset of ...

Everyone’s had the experience of pausing mid-sentence during a conversation, trying to conjure a forgotten word. These pauses can be so pronounced that ...

Visual product inspection is crucial in manufacturing, retail, and many other industries. Shipping damaged items erodes customer trust and incurs additional ...

For all their remarkable abilities, large language models (LLMs) have an Achilles heel, which is their tendency to hallucinate, or make assertions that ...

Anomaly detection is the identification of data that diverges significantly from established norms, which can indicate harmful activity. It’s a particularly ...