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An Indian state government has fixed security issues impacting its website that exposed the sensitive documents and personal information of millions of residents.
Aadhaar (Hindi: आधार, lit. 'base, foundation') [7] is a twelve-digit unique identity number that can be obtained voluntarily by all residents of India, based on their biometrics and demographic data. [8] The data is collected by the Unique Identification Authority of India (UIDAI), a statutory authority established in January 2016 by ...
Lending startup Figure will be launching an AI tool powered by GPT-4 to help catch errors in lending documents. Enterprise Security compliance unicorn Drata lays off 9% of its workforce
An expansion of the 400 Bad Request response code, used when a client certificate is required but not provided. 497 HTTP Request Sent to HTTPS Port. An expansion of the 400 Bad Request response code, used when the client has made a HTTP request to a port listening for HTTPS requests. 499 Client Closed Request.
List of FTP server return codes. FTP server return codes always have three digits, and each digit has a special meaning. [1] The first digit denotes whether the response is good, bad or incomplete: Range. Purpose. 1xx. Positive Preliminary reply. The requested action is being initiated; expect another reply before proceeding with a new command.
If the number of errors within a code word exceeds the error-correcting code's capability, it fails to recover the original code word. Interleaving alleviates this problem by shuffling source symbols across several code words, thereby creating a more uniform distribution of errors. [ 21 ]
Try Again. Unplug and plug in your iOS device to try again. Communication Errors with iTunes Update server Errors: 17, 1004, 1013, 1638, 3014, 3194, 3000, 3002, 3004, 3013, 3014, 3015, 3194, or ...
Data cleansing. Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. [1]