I’ve put over 200 km (125 miles) on Tesla’s latest ‘Full Self-Driving Supervised’ (FSD) v14 update, and I’ve gathered my thoughts in this article. In short, Tesla FSD v14 is an incremental improvement ...
Abstract: Seismic facies classification is essential in seismic data processing. It provides valuable information for reservoir characterization, stratigraphic division, and geological modeling.
The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.
microCLIP is a lightweight self-training framework that adapts CLIP for fine-grained image classification without requiring labeled data. While CLIP is strong in zero-shot transfer, it primarily ...
Kelley Cotter has received funding from the National Science Foundation. Chinese tech giant ByteDance has signed an agreement to sell a majority stake in its video platform TikTok to a group of U.S.
Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...
LinkedIn's algorithm prioritizes ads & sponsored content, hurting organic reach for creators. To adapt: share niche expertise, use authentic images, craft strong hooks, write longer comments, engage ...
Abstract: Circulating tumor cell (CTC) detection is crucial for reducing cancer mortality and disease burden. Traditional methods rely on the physical or biological properties of CTCs and involve ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
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