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Indian Brokerage Firm Upstox Suffers Data Breach Leaking 2.5 Millions Users' Data

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Indian Brokerage Firm Upstox Suffers Data Breach Leaking 2.5 Millions Users' Data Online trading and discount brokerage platform Upstox has become the latest Indian company to suffer a security breach of its systems, resulting in the exposure of sensitive information of approximately 2.5 million users on the dark web. The leaked information includes names, email addresses, dates of birth, bank account information, and about 56 million know your customer (KYC) documents pulled from the company's server. The breach was first disclosed by independent researcher  Rajshekhar Rajaharia  on April 11. It's not immediately clear when the incident occurred. Reacting to the development, the company, however,  said  it had recently upgraded its security systems following reports of "unauthorized access into our database" while stressing that users' funds and securities remained protected. As a precaution, besides initiating a secure password reset of users' accounts, ...

Rule-Based AI vs. Machine Learning for Development – Which is Best?

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  Rule-Based AI vs. Machine Learning for Development – Which is Best?  AI is not tossing out all the rules and methods of software development learned over the last 50 years, just many of them.      Rule-based AI systems borrow from rule-based expert system development, which tapped the knowledge of human experts to solve complex problems by reasoning through bodies of knowledge. Expert systems emerged in the 1970s and 1980s.      The knowledge would be represented through if-then-else rules rather than procedural code. Expert systems were considered successful forms of early AI.      Today rule-based AI models include a set of rules and a set of facts, described in a recent account in  BecomingHuman/Medium . “You can develop a  basic  AI model with the help of these two components,” the article states.   Using a machine learning approach, the system defines its own set of rules based on patterns it sees in data....

People are aware of deepfakes. And yet, they keep sharing them

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  People are aware of deepfakes. And yet, they keep sharing them Deepfakes are becoming more and more pervasive, with new tools emerging to make the creation of fake media material within the grasp of many of us. Indeed, so prevalent are deepfakes, computer giant Microsoft released a new software tool to help users identify media that has been manipulated. And still, we happily share them even though we know they’re fake. “Video Authenticator can analyze a still photo or video to provide a percentage chance, or confidence score, that the media is artificially manipulated,” Microsoft said in a blog post.  “In the case of a video, it can provide this percentage in real-time on each frame as the video plays. It works by detecting the blending boundary of the deepfake and subtle fading or grayscale elements that might not be detectable by the human eye.” Despite such tools helping us better identify deepfakes online, there are still concerns, however, that we happily share videos ...