1.9 sec in total
166 ms
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Welcome to agi.mit.edu homepage info - get ready to check Agi MIT best content for United States right away, or after learning these important things about agi.mit.edu
A collection of lectures on deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence organized by Lex Fridman.
Visit agi.mit.eduWe analyzed Agi.mit.edu page load time and found that the first response time was 166 ms and then it took 1.7 sec to load all DOM resources and completely render a web page. This is quite a good result, as only 30% of websites can load faster.
agi.mit.edu performance score
name
value
score
weighting
Value4.0 s
23/100
10%
Value5.0 s
27/100
25%
Value5.0 s
63/100
10%
Value1,560 ms
13/100
30%
Value0.107
88/100
15%
Value6.5 s
59/100
10%
166 ms
341 ms
26 ms
59 ms
87 ms
Our browser made a total of 52 requests to load all elements on the main page. We found that 2% of them (1 request) were addressed to the original Agi.mit.edu, 56% (29 requests) were made to Lexfridman.com and 19% (10 requests) were made to Deeplearning.mit.edu. The less responsive or slowest element that took the longest time to load (400 ms) relates to the external source Lexfridman.com.
Page size can be reduced by 63.9 kB (5%)
1.3 MB
1.3 MB
In fact, the total size of Agi.mit.edu main page is 1.3 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 65% of websites need less resources to load. Images take 1.2 MB which makes up the majority of the site volume.
Potential reduce by 59.7 kB
HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. This page needs HTML code to be minified as it can gain 20.9 kB, which is 31% of the original size. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 59.7 kB or 89% of the original size.
Potential reduce by 152 B
Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Agi MIT images are well optimized though.
Potential reduce by 283 B
It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. This website has mostly compressed JavaScripts.
Potential reduce by 3.8 kB
CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Agi.mit.edu needs all CSS files to be minified and compressed as it can save up to 3.8 kB or 16% of the original size.
Number of requests can be reduced by 16 (36%)
45
29
The browser has sent 45 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Agi MIT. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 8 to 1 for JavaScripts and from 10 to 1 for CSS and as a result speed up the page load time.
agi.mit.edu
166 ms
deeplearning.mit.edu
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wp-emoji-release.min.js
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style.min.css
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style.css
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style.css
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css
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blocks.css
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jquery.min.js
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jquery-migrate.min.js
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navigation.js
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style-grid-vid.css
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style-grid-current-lectures.css
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style-team.css
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isotope.pkgd.min.js
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analytics.js
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deep_learning_state_of_the_art_2020.png
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andrew_trask_talk.png
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vivienne_sze_talk.png
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vladimir_vapnik_talk.png
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deep_learning_basics.png
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deep_learning_state_of_the_art_2019.png
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deep_rl_intro.png
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self_driving_cars_2019.png
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drago_anguelov.png
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oliver_cameron_talk.png
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sterling_anderson_talk.png
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computer_vision_2018.png
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convolutional_neural_networks_2017.png
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agi.mit.edu accessibility score
Contrast
These are opportunities to improve the legibility of your content.
Impact
Issue
Background and foreground colors do not have a sufficient contrast ratio.
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
Image elements do not have [alt] attributes
agi.mit.edu best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Includes front-end JavaScript libraries with known security vulnerabilities
Ensure CSP is effective against XSS attacks
General
Impact
Issue
Detected JavaScript libraries
agi.mit.edu SEO score
Content Best Practices
Format your HTML in a way that enables crawlers to better understand your app’s content.
Impact
Issue
Image elements do not have [alt] attributes
Mobile Friendly
Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).
Impact
Issue
Document uses legible font sizes
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Agi.mit.edu can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Agi.mit.edu main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.
agi.mit.edu
Open Graph data is detected on the main page of Agi MIT. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: