Tech Xplore on MSN

Interrupting encoder training in diffusion models enables more efficient generative AI

A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
EurekAlert!

Novel approach to advance generative AI models (IMAGE)

The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, the ...
TV Tech

Link Electronics Unveils Gemini Dual Closed Caption Encoder

BRANSON, Mo .— Link Electronics has unveiled the Gemini Dual Caption Encoder, a next-generation captioning solution for ...
CNX Software

Linux 6.17 release – Main changes, Arm, RISC-V, and MIPS architectures

Here are some of the highlights of the Linux 6.17 release: Specific support for single-core processors has been removed, and ...
人人都是产品经理 on MSN

拆解 Transformer 的 “隐形大佬”：前馈神经网络（FFN）核心精讲

你以为 Transformer 的核心是注意力机制？其实真正撑起表达力的，是那个常被忽略的“隐形大佬”——前馈神经网络（FFN）。本文系统拆解 FFN 的结构逻辑、参数设计与表达能力，揭示它在 Transformer ...
腾讯网

Nature machine intelligence |Transformers与基因组语言模型

基于Transformer深度学习架构的大语言模型已经彻底改变了自然语言处理领域。受人类语言与基因组生物密码之间相似性的启发，研究人员已开始开发基于Transformer及相关架构的基因组语言模型（gLM）。 研究者综述了基因组学中适合应用gLM的开放性问题，并论证了针对这些问题使用gLM及Transformer架构的合理性。