Pyramid Attention Broadcast: the breakthrough that makes real-time AI videos possible
The field of video generation has seen remarkable progress with the advent of diffusion transformer (DiT) models, which have demonstrated ...
Tag: Attention
This ETH ICO has attracted a lot of attention from Ethereum (ETH) whales looking for profits
Initial Coin Offerings (ICOs) remain a focal point for investors seeking significant returns. Recently, a new ICO has been causing ...
EmBARDiment: An implicit attention framework that improves AI interaction efficiency in extended reality through eye tracking and contextual memory integration
Extended reality (XR) technology transforms the way users interact with digital environments, blending the physical and virtual worlds to create ...
Whisper-Medusa launched: aiOla's new model offers 50% faster speech recognition with multi-touch attention and 10-token prediction
Israeli artificial intelligence startup aiOla has introduced a revolutionary innovation in voice recognition with the launch of Whispering jellyfishThis new ...
How did Blast gain community attention and why is it called a scam?
<img src="https://crypto.news/app/uploads/2024/07/crypto-news-How-Blast-gained-the-communitys-attention-option04.webp" /> The Blast layer-2 network is attracting increasing attention from the community, while critics call the project a ...
Solving the “lost in the middle” problem in large language models: A breakthrough in attention calibration
Despite significant advances in large language models (LLMs), these models often need help with large contexts, especially when information is ...
Interoperability is finally getting the attention it deserves
This interoperability post originally appeared on the CoSN blog and is republished here with permission. Key points: Interoperability is the ...
SOL and Pepe face challenges as Rebel Satoshi Arcade gains attention
<img src="https://crypto.news/app/uploads/2024/06/crypto-news-rebelsatoshi-option02.webp" /> Disclosure: This article does not represent investment advice. The content and materials appearing on this page are ...
Efficient diffusion models without attention
The transformers have demonstrated impressive performance on class-conditional ImageNet benchmarks, achieving state-of-the-art FID scores. However, its computational complexity increases with ...
Affine-Based Deformable Attention and Selective Fusion for Semi-Dense Blending
This paper was accepted into the Image Matching: Local Features & Beyond workshop at CVPR 2024. Identifying strong and accurate ...
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