cdle.ai

Website review cdle.ai

CDLe

 Generated on December 29 2025 18:26 PM

Old data? UPDATE !

The score is 47/100

SEO Content

Title

CDLe

Length : 4

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Description

Length : 0

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Keywords

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Og Meta Properties

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Headings

H1 H2 H3 H4 H5 H6
0 14 24 26 3 0
  • [H2] Proven Path to Deep Learning Success
  • [H2] Digital Twins Bridge the Data Gap
  • [H2] Featured Video
  • [H2] Videos
  • [H2] SPIE Photomask Technology 2021: A General Formula for Deep Learning Success in Semiconductor Manufacturing
  • [H2] A Deep Learning Mask Analysis Toolset Using Mask SEM Digital Twins
  • [H2] Thomas Kurian of Mycronic describes work at CDLe to identify “Mura” on flat panel display (FPD) masks
  • [H2] Ajay Baranwal, Director of CDLe, describes five deep learning recipes for the semiconductor mask making industry
  • [H2] CDLe Celebrates One-year Anniversary
  • [H2] About Deep Learning in Electronics Manufacturing
  • [H2] Meet Ajay Baranwal, the new CDLe Director
  • [H2] Aki Fujimura and Steve Teig talk about Deep Learning
  • [H2] Publications
  • [H2]
  • [H3] A Deep Learning Mask Analysis Toolset Using Mask SEM Digital Twins
  • [H3] Semiconductor Engineering: Center For Deep Learning In Electronics Manufacturing: Bringing Deep Learning To Production For Photomask Manufacturing
  • [H3] SPIE Webinar: "Going Deep: Without the Right Data, Deep Learning Stops as a Prototype"
  • [H3] SPIE Photomask Technology 2021: A SEM-based DL diagnosis system for identifying VSB mask writer defects
  • [H3] SPIE Photomask Technology 2021: A general formula for deep learning success in semiconductor manufacturing
  • [H3] Semiconductor Digest: Automating Mask SEM Analysis Using Digital Twins
  • [H3] A Deep Learning Mask Analysis Toolset Using SEM Digital Twins
  • [H3] EE Times: Digital Twins: Bridging the Data Gap for Deep Learning Success
  • [H3] Semiconductor Engineering: How And Where ML Is Being Used In IC Manufacturing
  • [H3] Semiconductor Engineering: What Machine Learning Can Do In Fabs
  • [H3] The Mycronic Path Back to Semiconductors and into Deep Learning
  • [H3] Bridging the gaps: Deep learning to the manufacturing electronics factory line
  • [H3] Five Deep Learning Recipes for the Mask Making Industry
  • [H3] SPIE 2019: GPU Accelerated Simulation Enables Deep Learning
  • [H3] Going deeper with AI – how Mycronic’s new collaborative deep learning center can help unlock the value of AI
  • [H3] Semiconductor Engineering: Machine Learning For IC Production
  • [H3] Semiconductor Engineering: Machine Learning Moves Into Fab And Mask Shop
  • [H3] Semiconductor Engineering: Will machine learning and AI improve chip manufacturing?
  • [H3] Deep Learning is Going to Improve Mask Manufacturing Too
  • [H3] Deep Learning Primer: Data is the New Source Code
  • [H3] Semiconductor Engineering: Week in Review - Deep Learning Center
  • [H3] Center for Deep Learning in Electronics Manufacturing Announced by Industry Leaders
  • [H3] CIOReview: Optimizing Semiconductor Manufacturing with GPU Acceleration
  • [H3] Semiconductor Engineering: Fab Meets Machine Learning
  • [H4] A partnership of
  • [H4] Jerry Chen
  • [H4] news • November 16, 2023
  • [H4] news • August 30, 2022
  • [H4] news • September 30, 2021
  • [H4] news • September 30, 2021
  • [H4] news • May 26, 2021
  • [H4] publication • October 16, 2020
  • [H4] news • June 1, 2020
  • [H4] news • April 1, 2020
  • [H4] news • March 25, 2020
  • [H4] publication • February 25, 2020
  • [H4] publication • November 14, 2019
  • [H4] publication • September 23, 2019
  • [H4] publication • February 26, 2019
  • [H4] publication • January 31, 2019
  • [H4] publication • January 18, 2019
  • [H4] publication • November 14, 2018
  • [H4] publication • October 18, 2018
  • [H4] publication • September 30, 2018
  • [H4] publication • September 19, 2018
  • [H4] news • September 14, 2018
  • [H4] press-release • September 12, 2018
  • [H4] publication • July 22, 2018
  • [H4] news • July 19, 2018
  • [H4]
  • [H5] Business Development Lead for Industrial Applications
  • [H5]
  • [H5]

Images

We found 12 images on this web page.

2 alt attributes are empty or missing. Add alternative text so that search engines can better understand the content of your images.

Text/HTML Ratio

Ratio : 32%

Ideal! This page's ratio of text to HTML code is between 25 and 70 percent.

Flash

Perfect, no Flash content has been detected on this page.

Iframe

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URL Rewrite

Good. Your links looks friendly!

Underscores in the URLs

We have detected underscores in your URLs. You should rather use hyphens to optimize your SEO.

In-page links

We found a total of 26 links including 15 link(s) to files

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中文 (简体) Internal Passing Juice
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SEO Keywords

Keywords Cloud

english manufacturing publication data learning cdle technology semiconductor digital deep

Keywords Consistency

Keyword Content Title Keywords Description Headings
learning 37
deep 34
english 23
manufacturing 20
semiconductor 15

Usability

Url

Domain : cdle.ai

Length : 7

Favicon

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Printability

We could not find a Print-Friendly CSS.

Language

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Dublin Core

This page does not take advantage of Dublin Core.

Document

Doctype

HTML 5

Encoding

Perfect. Your declared charset is UTF-8.

W3C Validity

Errors : 23

Warnings : 4

Email Privacy

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Deprecated HTML

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Speed Tips

Excellent, your website doesn't use nested tables.
Perfect. No inline css has been found in HTML tags!
Great, your website has few CSS files.
Too bad, your website has too many JS files (more than 6).
Perfect, your website takes advantage of gzip.

Mobile

Mobile Optimization

Apple Icon
Meta Viewport Tag
Flash content

Optimization

XML Sitemap

Missing

Your website does not have an XML sitemap - this can be problematic.

A sitemap lists URLs that are available for crawling and can include additional information like your site's latest updates, frequency of changes and importance of the URLs. This allows search engines to crawl the site more intelligently.

Robots.txt

https://cdle.ai/robots.txt

Great, your website has a robots.txt file.

Analytics

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   Google Analytics

PageSpeed Insights

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