From the course: The New AI Tech Stack: AI Literacy for Tech Leaders
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Computer vision
From the course: The New AI Tech Stack: AI Literacy for Tech Leaders
Computer vision
- AI, wanting to helpful, tries to imitate human capabilities, right? A natural capability of humans is that we have five senses through which we experience the world. Computers can already mimic some of those senses in various ways, and we are going to talk through them. But let's start with how computers see through computer vision technology. Computer vision is a technology that is able to do photo and video analysis in an automatic way. Meaning, it can see what's on the picture or even what is around us and can recognize certain objects, facial expressions, or missing elements in the picture. In less than a decade, today's computer vision systems have reached 99% accuracy, for example, in certain medical images recognition, object recognition, or recognizing people in photos, making these systems more accurate than humans at quickly reacting to visual inputs. Real-time computer vision systems are the most popular right now, allowing us to see and process information immediately…
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Contents
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Gartner Hype Cycle3m 8s
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RPA (robotic process automation)2m 11s
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Robotics4m 3s
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Fraud detection2m 27s
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Predictions3m 44s
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Optimization4m 13s
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Recommendations5m 9s
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Computer vision3m 46s
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Smell, taste, touch4m 31s
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Voice3m 43s
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Autonomous vehicles3m 40s
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IoT and smart cities3m 50s
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AR, VR, and the metaverse3m 45s
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NLP4m 21s
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