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Case Study - Methods

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     Using AI to tackle disease, from monitoring, to detection, to lifestyle management. Google’s strategy involves an end-to-end approach to healthcare, including: Data generation — This includes digitising and ingesting data produced by wearables, imaging, and MRIs among other methods. This data stream is critical to AI-driven anomaly detection. Disease detection — Using AI to detect anomalies in a given dataset that might signal the presence of some disease. Disease/lifestyle management — These tools help people who have been diagnosed with a disease or are at risk of developing one go about their day-to-day lives and/or make positive lifestyle modifications DeepMind is involved in several parts of disease detection and Google itself holds several patents under the parent company.      Google's DeepMind artificial intelligence research company is developing a clinical decision support (CDS) tool for identifying eye diseases. Researchers from DeepMind...
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Research Diagram 1 - Face recognition security

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( Author's work )    Face recognition security strategy is the most common method that is being used by a lot of tech companies all over the world (eg. Apple, Samsung, Microsoft, etc.). In addition, sensitive security systems are using this strategy, for instance, house security services and military. Because this technology uses artificial intelligence and machine learning methodologies, so it is nearly impossible to bypass it. Moreover, no one can fake someone's face to bypass this security system, because it uses a 3D technology to scan and analyse. The above diagram illustrates a simple example explanation to this strategy. For instance, a house door is secured by a face recognition system, so whenever any person tries to unlock it, it will not be unlocked because the face is not recognised in the database. After a recognised face appears in-front of the sensor, the door will be unlocked and security systems will be off for a temporary time. Same this strategy is used in m...
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Research Essay: Conclusion

Conclusion It is concluded that there’s a lot of value of computer science because it gives an individual possibility to change the world. It also provides ease to work remotely and make an individual able to become powerful by using different skills. It has broad and in depth knowledge. In the era of globalization and advancement there’s a lot of need to learn the skills that involve computer science. Similarly, artificial intelligence is also the branch of computer science that involves in the capability of machines to produce rational behavior. The goal of artificial intelligence in this advanced world is to perform tasks without the need of human intelligence.
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