fix grammar

Author: SJaffa

chapters/en/unit1/chapter1/motivation.mdx

@@ -38,7 +38,7 @@ Let's take the example of Indiana Jones running from a boulder. There is a ball
 
 ## The Motivation Behind Creating Artificial Systems Capable of Simulating Human Vision and Cognition
 
-Albeit they have similar input and output, human vision and computer vision are different processes. Sometimes they overlap. However, computer vision is primarily concerned with developing and understanding algorithms and models in vision systems and their decisions. It is not constrained to the creation of systems that replicate human vision. It can be used for problems that would be too tedious, time-consuming, expensive, or error-prone for humans to do.
+Although they have similar input and output, human vision and computer vision are different processes. Sometimes they overlap. However, computer vision is primarily concerned with developing and understanding algorithms and models in vision systems and their decisions. It is not constrained to the creation of systems that replicate human vision. It can be used for problems that would be too tedious, time-consuming, expensive, or error-prone for humans to do.
 Our ball example is still a simple one, and you might not think that is super useful. However, a model capable of tracking a ball can be used in sports events to provide faster and more fair decisions during gameplay. With the popularization of image-to-text and text-to-speech models, we could also make live sports events more accessible for people who have vision disabilities by automatically tracking the ball and its players and describing it in real time. Thus, even simple use cases can have a positive impact on society. We will discuss more about this in Section 3.
 
 We are now on the cusp of an AI renaissance.  A moment in time when we can train, deploy, and share our model freely. A moment when our models can detect things in images that we would not be able to see ourselves.