![]() What is artificial intelligence (AI)?Īrtificial Intelligence is a branch of computer science that endeavours to replicate or simulate human intelligence in a machine, so machines can perform tasks that typically require human intelligence. Let’s start by clearly defining artificial intelligence. In this article, we discuss the 3 types of AI in depth, and theories on the future of AI. Codebots is backing a future where humans and bots work together for the win. However, human emotion and creativity is something incredibly special and unique, extremely difficult - if not impossible - to replicate in a machine. The other theory predicts a more optimistic future, where humans and bots work together, humans using artificial intelligence as a tool to enhance their life experience.Īrtificial intelligence tools are already having a significant impact on the way we conduct business worldwide, completing tasks with a speed and efficiency that wouldn’t be possible for humans. One theory is based on fear of a dystopian future, where super intelligent killer robots take over the world, either wiping out the human race or enslaving all of humanity, as depicted in many science fiction narratives. ![]() As machine learning capabilities continue to evolve, and scientists get closer to achieving general AI, theories and speculations regarding the future of AI are circulating. We have currently only achieved narrow AI. There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence. ![]() In this article, we discuss the 3 types of AI in depth, and theories on the future of AI.Īrtificial Intelligence What are the 3 types of AI? A guide to narrow, general, and super artificial intelligence What are the 3 types of AI? A guide to narrow, general, and super artificial intelligence | regex _raw="(?only search results whose "_raw" field contains IP addresses in the non-routable class A (10.0.0.0/8). If a raw event contains "From: Susan To: Bob", then from=Susan and to=Bob. # so, as a beginner, if you are got confusion of which one to use "rex or regex", normally you would required to use "rex".Įxtract "from" and "to" fields using regular expressions. ![]() # regex is, generally less-required than rex. This regex command prints out the results that match the specified regular expression. The regex command removes results that do not match the specified regular expression. A dataset processing command is a command that requires the entire dataset before the command can run. For example, you might apply an orchestrating command to a search to enable or disable a search optimization that helps the overall search complete faster. They do not directly affect the final result set of the search. An Orchestrating command control some aspect of how a search is processed. A transforming command orders the results into a data table(ex: addtotals, stats, rare, table) A generating command generates events or reports from one or more indexes without transforming the events(ex: eventcount, makeresults) A streaming command operates on each event as the event is returned by a search. A command might be streaming or transforming, and also generating. There are six broad types for all of the search commands:ĭistributable streaming, centralized streaming, transforming, generating, orchestrating and dataset processing. Note: Running rex against the _raw field might have a performance impact. ![]() (Read about using sed to anonymize data in the Getting Data In Manual). This sed-syntax is also used to mask sensitive data at index-time.įor example, hiding the credit card / SSN numbers while reading credit card / SSN transaction logs. when using "mode=sed", we can do search and replace tasks. This command is used for "search time field extractions". "rex" is the short form of "regular expression". # Edit 2 - little editings - 24th May 2020 # to understand the basic differences between rex and regex ![]()
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