fix: minor

Author: ouioui199

blog/articles/ComputerVision.html

@@ -51,7 +51,7 @@ <h2>Computer Vision</h2>
                     <h3>What is Computer Vision?</h3>
 
                     <p>
-                        Computer Vision is now a prominent application of Artificial Intelligence, relying primarily on image inputs but also utilizing other data types such as videos, depth maps, and point clouds for specific use cases. Recent advancements in the field, with models like <a href="https://www.midjourney.com/explore?tab=top">Midjourney</a>, <a href="https://openai.com/index/dall-e-3/">DALL-E</a>, <a href="https://stability.ai/">Stable Diffusion</a>, <a href="https://segment-anything.com/">Segment Anything Model</a>, and <a href="https://docs.ultralytics.com/#where-to-start">YOLO</a>, have kept it at the forefront of AI research in recent years. By 2020, Computer Vision accounted for <a href="https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report-_Chapter-1.pdf">31.7% of all published articles</a> on <a href="https://arxiv.org/">arXiv</a>, making it one of the most actively researched domains. Its growing popularity is largely attributed to the rise of Deep Learning and advances in parallel computing, enabling neural networks with millions of parameters to process images in milliseconds. This allows for real-time speeds of up to 30 images per second, demonstrating remarkable efficiency without apparent limitations.
+                        Computer Vision is now a prominent application of Artificial Intelligence, relying primarily on image inputs but also utilizing other data types such as videos, depth maps, and point clouds for specific use cases. Advancements in the field, with models like <a href="https://www.midjourney.com/explore?tab=top">Midjourney</a>, <a href="https://openai.com/index/dall-e-3/">DALL-E</a>, <a href="https://stability.ai/">Stable Diffusion</a>, <a href="https://segment-anything.com/">Segment Anything Model</a>, and <a href="https://docs.ultralytics.com/#where-to-start">YOLO</a>, have kept it at the forefront of AI research in recent years. By 2020, Computer Vision accounted for <a href="https://aiindex.stanford.edu/wp-content/uploads/2021/03/2021-AI-Index-Report-_Chapter-1.pdf">31.7% of all published articles</a> on <a href="https://arxiv.org/">arXiv</a>, making it one of the most actively researched domains. Its growing popularity is largely attributed to the rise of Deep Learning and advances in parallel computing, enabling neural networks with millions of parameters to process images in milliseconds. This allows for real-time speeds of up to 30 images per second, demonstrating remarkable efficiency without apparent limitations.
                     </p>
 
                     <h3>What are the applications?</h3>
@@ -66,7 +66,7 @@ <h3>What are the applications?</h3>
                     </figure>
 
                     <p>
-                        In the realm of traffic and autonomous vehicles, Tesla, Elon Musk's automotive company, is intensifying competition among developers by offering four distinct car models: the Model S, Model 3, Model X, and Model Y. Utilizing 8 cameras, Tesla vehicles have a full vision of 360 degrees and a maximum detection range of 250 meters. Advanced embedded computers process the data rapidly, enabling the vehicle to comprehend its environment in real time. Additionally, AI-powered visual identification systems facilitate quick and seamless vehicle recognition, streamlining toll processing. Moreover, traffic management has become significantly more efficient in many countries, as computer vision algorithms can accurately count vehicles with precision, eliminating the challenges previously associated with this task.
+                        In the realm of traffic and autonomous vehicles, Tesla, Elon Musk's automotive company, is intensifying competition among manufacturers by offering four distinct car models: the Model S, Model 3, Model X, and Model Y. Utilizing 8 cameras, Tesla vehicles have a full vision of 360 degrees and a maximum detection range of 250 meters. Advanced embedded computers process the data rapidly, enabling the vehicle to comprehend its environment in real time. Additionally, AI-powered visual identification systems facilitate quick and seamless vehicle recognition, streamlining toll processing. Moreover, traffic management has become significantly more efficient in many countries, as computer vision algorithms can accurately count vehicles with precision, eliminating the challenges previously associated with this task.
                     </p>
 
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css/style.css

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+.ai-cv-blog figure figcaption {
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