Uber AI Enforces Mask Rules – Weekly Guide
Artificial Intelligence (AI) is a large, popular and promising sector whose developments constantly show intelligent and efficient results. This week’s guide discusses the role of AI in enforcing rules, identifying brain injuries and in cybersecurity.
As the spread of the Coronavirus slows down, various governments around the world are easing the lockdowns and the quarantine regulations. At the same time, the very popular taxi service, Uber, has stated all drivers in United States, Mexico, Canada, India, Europe, and Africa to compulsorily wear a mask during their service that operates from May 18th. The firm has turned to artificial intelligence to ensure that all Uber drivers comply with this rule. When new drivers restart their driving service applications, they are asked to take a self-portrait image which is passed through an AI-based system that checks for a worn mask. While this is a good system to ensure no under-protected driver transports individuals, Uber concedes that they are unable to use the same system to check the legitimacy of that uploaded selfie, that is, if or not the image is of the driver himself or of someone else.
As per reports, head injuries burdens up to 60 million people on average, every year, and has termed to be one of the most prevalent causes of death in young adults. The common procedure to treat the same is to send victims for CT scans that check for blood in or around the brain, assessing whether or not surgery is needed. However, only 10-15% of these individuals have lesions that are entirely seen by the CT scan. Researchers from the University of Cambridge and Imperial College London, recently clinically validated and verified Artificial Intelligence on sizeable sets of CT scans. They discovered that the AI was able to identify, section, measure and distinguish dissimilar brain lesions, allowing researchers to discover more. Due to this discovery, researchers advanced an artificially intelligent device built on an artificial neural network that exercised over 600 dissimilar CT scans, screening brain lesions of dissimilar magnitudes and types. The AI was not only able to categorise separate parts of each image, but also express whether or not it was ordinary.
Online assaults and cyber attacks have existed since the birth of the internet. However, as our technologies continue to grow, these attacks and assaults pose greater risks. Today, it is extremely crucial for businesses to deploy cyber AI. This is not only to protect themselves but also to ensure the same for their customers. Following the recent developments in cyber-attacks, keeping data and resources safe must be highly prioritised amongst other decisions. It is also essential to ensure that as these cyber-attacks evolve, AI models too need to keep being updated at the same pace. Only then these AI-powered cybersecurity models can detect minute behaviour changes in malware and remove it from the system. An everyday example of this model is implemented in Gmail, which blocks out over 100 million spam messages on a daily basis.
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Source : https://www.mygreatlearning.com/blog/artificial-intelligence/