Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.1K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.1K
What is Genetic Engineering?00:49

What is Genetic Engineering?

73.1K
Overview
73.1K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
12.3K
Genetic Lingo01:11

Genetic Lingo

99.2K
Overview
99.2K
Genetic Screens02:46

Genetic Screens

4.8K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.8K
Genetic Drift03:33

Genetic Drift

39.2K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
39.2K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Systematic partisan content skews in TikTok during the 2024 US elections.

Nature·2026
Same author

FaceScanPaliGemma multi-agent vision language models for facial attribute recognition.

Scientific reports·2026
Same author

Correction: The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south.

Frontiers in digital health·2026
Same author

Personalized medicine and health equity: overcoming cost barriers and ethical challenges.

International journal for equity in health·2025
Same author

Multitasking vision language models for vehicle plate recognition with VehiclePaliGemma.

Scientific reports·2025
Same author

A conceptual exploration of generative AI-induced cognitive dissonance and its emergence in university-level academic writing.

Frontiers in artificial intelligence·2025

相关实验视频

Updated: May 24, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

475

走向一个由生成性AI驱动的万维网.

Nouar AlDahoul1, Joseph Hong1, Matteo Varvello2

  • 1Computer Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.

Scientific reports
|February 28, 2025
PubMed
概括

生成型人工智能 (AI) 可以使用网页上下文创建高质量的网页图像. 虽然浏览器内生成具有挑战性,但人工智能对修复破碎的网页和增强隐私等任务具有前景.

科学领域:

  • 计算机科学 计算机科学
  • 网络技术 网络技术
  • 人工智能的人工智能

背景情况:

  • 生成型人工智能 (AI) 迅速发展,产生各种媒体内容.
  • 人工智能在Web开发中越来越多地用于创建内容.
  • 在Web浏览器中,人工智能驱动的图像生成的潜力在很大程度上尚未被探索.

研究的目的:

  • 调查用于网络图像创建的生成AI的可行性和质量.
  • 开发和评估一个模拟人工智能驱动的网络图像生成工具.
  • 探索在万维网上生成人工智能的客户端和服务器端影响.

主要方法:

  • 开发了WebDiffusion,这是一个模拟稳定扩散的新工具,用于网页图像生成.
  • 通过使用众包意见,评估了来自60个网页的409张人工智能生成的图像.
  • 评估了客户端和服务器端的生成AI能力.

主要成果:

  • 生成型人工智能可以通过利用上下文的网页信息来产生相关的,高质量的网页图像.
  • 设计人员手动提示工程并不总是必要的相关的图像生成.
  • 直接在浏览器中生成图像是计算密集的,需要高端GPU.

更多相关视频

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
10:04

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

11.2K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

854

相关实验视频

Last Updated: May 24, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

475
Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
10:04

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

11.2K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

854

结论:

  • 生成性人工智能对未来的网络图像创建和操纵有很大的潜力.
  • 人工智能驱动的图像生成对特定的Web应用程序有好处,比如破坏链接修复和隐私增强.
  • 需要进一步的研究来克服广泛的浏览器内人工智能图像生成的计算挑战.