Summary

Google Clips is a revolutionary camera (by Google) with diversity in features such as ease in portability and Artificial Intelligence camera techniques. Google Clips, therefore, is a unique camera that cannot be compared to any other camera in the market today (Google.com, 2018). Despite the advantages, critics have determined the device as a sham and do not offer exclusivity to the utilization of the invention compared to those in the market. However, Artificial Intelligence that Google Clips possesses cannot be compared with another in the market. As such, the scope of the study is to delineate on the Artificial Intelligence potential in Google Clips with an in-depth analysis of its coherent features. The primary goal of the study is to succinctly describe the electronic device, Google Clips with specifications to its Artificial Intelligence (AI). The specific purpose will be to analyze the precise AI components of the invention. The theoretical framework for this study is the use of Computational Learning Theory which is a guiding tool to comprehending the evolution in machine learning with specificity to artificial intelligence. The methods to be used in critically presenting findings for the current paper is through secondary source evaluation. Credible sources are used for the current paper. The study claims that artificial intelligence in Google Clips is evolutionary to any digital camera. The device’s AI is pioneering and allows different features in photography including face recognition and behavioral recognition. Therefore, the research concludes that Google Clips possesses the highest form of AI in the current market.

Introduction

The current paper proposes that Google Clips device possesses the latest and most advanced form of AI compared to any other device in the market. The speculation is that Google Clips may not possess an advanced AI feature in its camera. The opposing argument details that AI in Google Clips cannot censor behavioral aspects or faces which allow it to capture moments. The issues, therefore, is essential in the modern market because AI serves as the backbone of why consumers purchase gadgets such as Google Clips.

Main Claim

The Main claim of the paper is that AI in Google Clips is productive and can censor behavioral and facial recognition. AI is a form of machine learning where the computer is programmed to assess the environment within the camera frame and capture the moment either in still or motion picture.

Presentation of Argument

Computational Theory indicates that current machine learning capacities are endearing to the behavioral and facial detection features. Kanchwala (2018) claims that AI is a form of programming that allows the computer to think, learn as well as perform tasks similar to a human. As for the Google Clips, the high-powered AI splits into different actions. They include mimicking voice-to-text composition, face recognition as well as machine learning. For example, the camera positioned at a certain angle and what it does is pick up any facial dimensions within the frame and takes a picture or a video.

Opposing View

The opposing views to the majestic feature in Google Clips are that most of the camera devices in the market possess the same function: AI. There is no differing element with smartphones that have AI, and this may weaken the central claim of the paper.

Conclusion

Google Clips is a revolutionary camera of its kind in the market providing a new AI feature that improves on photography techniques. Therefore, Google Clips is a beautiful camera that anyone can use due to its portability.

References

Google.com. (2018). Google Clips- Wireless Smart Camera. Retrieved from

https://store.google.com/product/google_clips

Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255-260.

Kanchwala, H. (2018). AI Camera: What is an AI-powered Camera and What Does It Do? Science ABC. Retrieved from https://www.scienceabc.com/innovation/ai-camera-what-is-an-ai-powered-camera-and-what-does-it-do.html