Applications of artificial intelligence
Machine learning has been used for various scientific and commercial purposes[1] including language translation, image recognition, decision-making,[2][3] credit scoring, and e-commerce.Machine learning also analyzes traits such as sender behavior, email header information, and attachment types, potentially enhancing spam detection.[citation needed] The University of Southern California launched the Center for Artificial Intelligence in Society, with the goal of using AI to address problems such as homelessness.[46] In agriculture, AI has been proposed as a way for farmers to identify areas that need irrigation, fertilization, or pesticide treatments to increase yields, thereby improving efficiency.[47] AI has been used to attempt to classify livestock pig call emotions,[20] automate greenhouses,[48] detect diseases and pests,[49] and optimize irrigation.[60] Financial institutions have long used artificial neural network systems to detect charges or claims outside of the norm, flagging these for human investigation.[73][quantify] Continuous auditing with AI allows real-time monitoring and reporting of financial activities and provides businesses with timely insights that can lead to quick decision making."The major junctions of the system were to monitor premiums in the market, determine the optimum investment strategy, execute transactions when appropriate and modify the knowledge base through a learning mechanism.For example, the IBM Watson system might be used to comb through massive data such as medical records and clinical trials to help diagnose a problem.[99] Artificial neural networks are used as clinical decision support systems for medical diagnosis,[100] such as in concept processing technology in EMR software.[151][152] Moreover, if whole brain emulation is possible via both scanning and replicating the, at least, bio-chemical brain – as premised in the form of digital replication in The Age of Em, possibly using physical neural networks – that may have applications as or more extensive than e.g. valued human activities and may imply that society would face substantial moral choices, societal risks and ethical problems[153][154] such as whether (and how) such are built, sent through space and used compared to potentially competing e.g. potentially more synthetic and/or less human and/or non/less-sentient types of artificial/semi-artificial intelligence.[164][165][166][161] In the search for extraterrestrial intelligence (SETI), machine learning has been used in attempts to identify artificially generated electromagnetic waves in available data[167][168] – such as real-time observations[169] – and other technosignatures, e.g. via anomaly detection.[172][173][174][175][176] The Galileo Project also seeks to detect two further types of potential extraterrestrial technological signatures with the use of AI: 'Oumuamua-like interstellar objects, and non-manmade artificial satellites.Artificial intelligence can also be used to investigate genomes to uncover genetic history, such as interbreeding between archaic and modern humans by which for example the past existence of a ghost population, not Neanderthal or Denisovan, was inferred.The use of AI and deep learning suggests the possibility of minimizing or eliminating manual lab experiments and allowing scientists to focus more on the design and analysis of unique compounds.[133][134] Biological network reverse engineering could model interactions in a human understandable way, e.g. bas on time series data of gene expression levels.[208] In 2019, the city of Hangzhou, China established a pilot program artificial intelligence-based Internet Court to adjudicate disputes related to ecommerce and internet-related intellectual property claims.Machine intelligence calculates appropriate wages and highlights resume information for recruiters using NLP, which extracts relevant words and phrases from text.Deepfakes can portray individuals in harmful or compromising situations, causing significant reputational damage and emotional distress, especially when the content is defamatory or violates personal ethics.[233] In January 2016,[234] the Horizon 2020 program financed the InVID Project[235][236] to help journalists and researchers detect fake documents, made available as browser plugins.[248] Way mark Studios utilized the tools offered by both DALL-E and Mid-journey to create a fully AI generated film called The Frost in the summer of 2023.The Watson Beat uses reinforcement learning and deep belief networks to compose music on a simple seed input melody and a select style.Yseop writes financial reports, executive summaries, personalized sales or marketing documents and more in multiple languages, including English, Spanish, French, and German.[267] A local Dutch media group used AI to create automatic coverage of amateur soccer, set to cover 60,000 games in just a single season.There is research and development of various artificial intelligence applications for Wikipedia such as for identifying outdated sentences,[274] detecting covert vandalism[275] or recommending articles and tasks to new editors.It started by creating simple black and white drawings, and later to painting using special brushes and dyes that were chosen by the program itself without mediation from Cohen.Although the main goal of the large-scale digitization of artwork in the past few decades was to allow for accessibility and exploration of these collections, the use of AI in analyzing them has brought about new research perspectives.[342][343] Machine learning can be used to spot early-warning signs of disasters and environmental issues, possibly including natural pandemics,[344][345] earthquakes,[346][347][348] landslides,[349] heavy rainfall,[350] long-term water supply vulnerability,[351] tipping-points of ecosystem collapse,[352] cyanobacterial bloom outbreaks,[353] and droughts.For example, around November 2017, Google's AutoML project to evolve new neural net topologies created NASNet, a system optimized for ImageNet and POCO F1.All of the following were originally developed in AI laboratories:[375] An optical character reader is used in the extraction of data in business documents like invoices and receipts.
Artificial intelligence (AI)Artificial general intelligenceIntelligent agentRecursive self-improvementPlanningComputer visionGeneral game playingKnowledge reasoningNatural language processingRoboticsAI safetyMachine learningSymbolicDeep learningBayesian networksEvolutionary algorithmsHybrid intelligent systemsSystems integrationBioinformaticsDeepfakeEarth sciencesGenerative AIGovernmentHealthcareMental healthIndustryTranslation Military PhysicsProjectsPhilosophyArtificial consciousnessChinese roomFriendly AIControl problemTakeoverEthicsExistential riskTuring testUncanny valleyHistoryTimelineProgressAI winterAI boomGlossaryArtificial intelligencegeneral-purpose technologylanguage translationimage recognitiondecision-makingcredit scoringe-commerceMarketing and artificial intelligencerecommendation systemssocial media feedssocial media analysisonline misinformationfilter bubblesOnline gamblingVirtual assistantIntelligent personal assistantsBing Chatsearch engineSpam filterphishingMachine translationMicrosoft TranslatorGoogle TranslateDeepL Translatorsemanticspragmaticsneural machine translationsstatistical machine translationFacial recognition systemAutomatic image annotationfacial recognition systemsFace IDFace UnlockGoogle Image LabelerDeepFaceVideo game botArtificial intelligence in video gamesDeep BlueJeopardy!WatsonAlphaGoPluribusCepheusE-sportsStarCraftAlphaZeroMuZerochatbotsCharacter.aiAI for GoodInternational Telecommunication UnionSustainable Development GoalsUniversity of Southern CaliforniaStanfordPrecision agricultureDigital agriculturegreenhousesCyber securityneural networksintrusion detection systemsransomwareserver-side request forgerySQL injectioncross-site scriptingdistributed denial-of-serviceAI in educationUNESCOWorld Economic ForumFinancial institutionsartificial neural networkbankingSecurity Pacific National BankAI is used to combat fraudabnormal changes or anomaliesinformation asymmetrymake markets more efficientAlgorithmic tradinghigh-frequency tradingAutomated trading systemsBlackRock