Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...
The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...
Abstract: Enlarging input images is a straightforward and effective approach to promote small object detection. However, simple image enlargement is significantly expensive on both computations and ...
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
Earlier this month, I started the review of the Intel-based UP AI development kits with an unboxing of the UP TWL, UP Squared Pro TWL, and UP Xtreme ARL ...
Abstract: Self-driving cars or autonomous vehicles (AVs) represent a transformative technology with the potential to revolutionize transportation. The rise of self-driving cars has driven remarkable ...
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