Explore how enterprises can effectively scale AI, overcoming common obstacles and leveraging leadership for transformative productivity and innovation. Understand the critical importance of ...

Here's why treating ChatGPT like Google will guarantee your failure in the age of RAG, reranking, and probabilistic systems.

Two mathematicians have proved that a straightforward question—how hard is it to untie a knot?—has a complicated answer.

Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.

Existing counting models suffer significant performance degradation when tested on data from unknown scenarios (out-of-distribution data), due to the domain shift problem. In practical applications, ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

Abstract: Domain Adaptation (DA) is used to reduce cross-domain differences between the labeled source and unlabeled target domains. As the existing semantic-based DA approaches mainly focus on ...