I know people are obsessed with photorealism in this sub, but here are my dinos [SDXL]
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submitted by /u/darkside1977 [link] [comments]
Halloween is a scary popular holiday. From handing out candy and dressing up in costumes to pumpkin carving and spooky decorations, there are countless ways consumers can take part in the Halloween festivities. This gives retailers a ton of opportunities to capitalize on this beloved holiday with Halloween marketing campaigns (check out these campaign ideas) …
Read more “Bewitching Language Insights from Halloween and Fall Marketing Campaign Trends”
Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract, Amazon Transcribe, and Amazon Comprehend. Organizations have started to use AI/ML services like Amazon Comprehend to build classification …
Read more “Improve prediction quality in custom classification models with Amazon Comprehend”
An innovative solution for maintaining LLM performance once the amount of information in a conversation ballooned past the number of tokens…Read More
Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach …
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Is this the year that end-of-year holiday shopping returns to “normal”? By normal, we mean the predictable post-Thanksgiving kick off followed by weeks of robust spending on gifts, food, and decorations. Persado’s prediction? No—“normal” doesn’t exist anymore. Economic and social changes that were already underway before the pandemic have permanently transformed the holiday shopping season …
Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …
Read more “Scalable spherical CNNs for scientific applications”
GraphQL has emerged as a key technology in the API space, with a growing number of organizations adopting this new API structure into their ecosystems. GraphQL is often seen as an alternative to REST APIs, which have been around for a long time. Compared to REST APIs (or other traditional API specifications), GraphQL provides more …
Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …
Read more “Scalable spherical CNNs for scientific applications”