A New Framework for How the Brain Compresses Our Noisy World
(翻译)大脑压缩嘈杂世界的新框架
An updated view of categorization reflects the modern understanding that the nervous system is more of a prediction engine than a filing cabinet.

(翻译)大脑压缩嘈杂世界的新框架
An updated view of categorization reflects the modern understanding that the nervous system is more of a prediction engine than a filing cabinet.

(翻译)将手语AI交到用户手中
Introducing sign-language-to-text (SL2T), our breakthrough model powering new sign language features for Deaf and hard of hearing users.
(翻译)衡量语音识别中的基准优化
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
(翻译)使用 NVIDIA FLARE 构建联邦多模态 AI 工作流
Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however…

(翻译)DiffusionGemma:文本生成速度最高提升4倍
An overview of DiffusionGemma, an exceptionally fast text generation model with up to 4x faster speeds.

(翻译)AWS 向量解决方案:在数据所在之处构建智能体 AI
AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data migration required. This post covers six purpose-built services, a decision framework for choosing the right engine, and customer proof poi
(翻译)CUDA Python 1.0:稳定API、统一基础、完整平台访问
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain…

(翻译)将 Nunchaku 4-bit 扩散推理引入 Diffusers
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
(翻译)使用Amazon Quick Desktop和Amazon FSx for NetApp ONTAP实现受治理的报告
Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a Quick knowledge base, and a custom skill drafts cited weekly reports and Slack summaries with human review before anything is shared.
(翻译)量化感知修复:性能超越全精度原版的压缩 4 比特模型
A Blog post by Multiverse Computing on Hugging Face

(翻译)Granite 4.2 大语言模型:它们是如何构建的
A Blog post by IBM Granite on Hugging Face

(翻译)MolEmb:多模态大语言模型可以成为强大的分子嵌入模型
Abstract page for arXiv paper 2608.23646: MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models
11 套英伟达 GB200 连续跑 3 个月,大模型最昂贵的“炼丹过程”被彻底摊开。

(翻译)5D多表分析的方法论与概念框架:复杂数据复用的统一方法
Abstract page for arXiv paper 2608.26149: Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse