Page 1 (0s)
The combination of CV with AI and ML. Computer Vision (CV), Artificial Intelligence (AI), and Machine Learning (ML) are all powerful technologies that are revolutionizing the way we interact with the world. When combined, these technologies create an even more powerful force that can be used to solve complex problems and unlock new opportunities..
Page 2 (36s)
AI (Artificial intelligence) is the ability of machines to perform tasks that would normally require human intelligence, such as recognizing speech, making decisions, and understanding natural language..
Page 3 (1m 6s)
ML (Machine learning) is a branch of artificial intelligence that uses data and algorithms to create models that can perform tasks without explicit instructions..
Page 4 (1m 16s)
A diagram of machine learning Description automatically generated.
Page 5 (1m 23s)
ML (Machine learning) is a branch of artificial intelligence that uses data and algorithms to create models that can perform tasks without explicit instructions..
Page 6 (1m 30s)
A yellow toy robot with black wheels Description automatically generated.
Page 7 (1m 53s)
ML (Machine learning) is a branch of artificial intelligence that uses data and algorithms to create models that can perform tasks without explicit instructions..
Page 8 (2m 11s)
ML (Machine learning) is a branch of artificial intelligence that uses data and algorithms to create models that can perform tasks without explicit instructions..
Page 9 (2m 17s)
Computer vision is a field of artificial intelligence (AI) that applies machine learning to images and videos to understand media and make decisions about them. With computer vision, we can, in a sense, give vision to software and technology..
Page 13 (2m 46s)
The combination of CV with AI and ML. Computer Vision (CV), Artificial Intelligence (AI), and Machine Learning (ML) are all powerful technologies that are revolutionizing the way we interact with the world..
Page 14 (3m 5s)
Challenges. High costs Lack of experienced professionals Size of required data sets Need for regular monitoring.
Page 15 (3m 14s)
Challenges. High costs Lack of experienced professionals Size of required data sets Need for regular monitoring.