AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
Why Context is the Ultimate Differentiator for AI in Marketing
Context is the key to making AI work in marketing. Here’s why generic tools fall short and contextual AI drives better results.
10 Python One-Liners for Feature Selection Like a Pro
In many data analysis processes, including machine learning , data preprocessing is an important stage before further analysis or model training and evaluation.
Humanoid Policy ~ Human Policy
Training manipulation policies for humanoid robots with diverse data enhances their robustness and generalization across tasks and platforms. However, learning solely from robot demonstrations is labor-intensive, requiring expensive tele-operated data collection which is difficult to scale. This paper investigates a more scalable data source, egocentric human demonstrations, to serve as…
FM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning
Authors: Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede, Ko-Jen Hsiao, and Justin Basilico Motivation Recommender systems have become essential components of digital services across e-commerce, streaming media, and social networks [1, 2]. At Netflix, these systems drive significant product and business impact by connecting members with relevant content at the…