{"success":true,"data":{"query":"Wiki Artificial Intelligence","limit":10,"count":7,"sources":["wiki_artificial_intelligence.hat","wiki_real_estate.hat","test_v3_1.tah.hat"],"synced":[],"results":[{"source":"wiki_artificial_intelligence.hat","text":"ARTICLE: Artificial intelligence\nArtificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in engineering, mathematics and computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.\nHigh-profile applications of AI include advanced web search engines, chatbots, virtual assistants, autonomous vehicles, and play and analysis in strategy games (e.g., chess and Go). Since the 2020s, generative AI has become widely available to generate images, audio, and videos from text prompts.\nThe traditional goals of AI research include learning, reasoning, knowledge representation, planning, natural language processing, and perception, as well as support for robotics. To reach these goals, AI researchers have used techniques including state space search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics. AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields. Some companies, such as OpenAI, Google DeepMind and Meta, aim to create artificial general intelligence (AGI) – AI that can complete virtually any cognitive task at least as well as a human.\nArtificial intelligence was founded as an academic discipline in 1956, and the field went through multiple cycles of optimism throughout its history, followed by periods of disappointment and loss of funding, known as AI winters. Funding and interest increased substantially after 2012, when graphics processing units began being used to accelerate neural networks, and deep learning outperformed previous AI techniques. This growth accelerated further after 2017 with the transformer architecture. In the 2020s, an AI boom has coincided with advances in generative AI, which allowed for the creation and modification of media. In addition to AI safety and unintended consequences and harms from the use of AI, ethical concerns, AI's long-term effects, and potential existential risks have prompted discussions of AI regulation.","score":63.16641805025819,"links":[]},{"source":"wiki_artificial_intelligence.hat","text":"General intelligence\nA machine with artificial general intelligence would be able to solve a wide variety of problems with breadth and versatility similar to human intelligence.\n\nTechniques\nAI research uses a wide variety of techniques to accomplish the goals above.\n\nSearch and optimization\nThere are two different kinds of search used in AI: state space search and local search:\n\nState space search\nState space search searches through a tree of possible states to try to find a goal state. For example, planning algorithms search through trees of goals and subgoals, attempting to find a path to a target goal, a process called means-ends analysis.\nSimple exhaustive searches are rarely sufficient for most real-world problems: the search space (the number of places to search) quickly grows to astronomical numbers. The result is a search that is too slow or never completes. \"Heuristics\" or \"rules of thumb\" can help prioritize choices that are more likely to reach a goal.\nAdversarial search is used for game-playing programs, such as chess or Go. It searches through a tree of possible moves and countermoves, looking for a winning position.","score":63.16641805025819,"links":[]},{"source":"wiki_artificial_intelligence.hat","text":"Deep learning\nDeep learning uses several layers of neurons between the network's inputs and outputs. The multiple layers can progressively extract higher-level features from the raw input. For example, in image processing, lower layers may identify edges, while higher layers may identify the concepts relevant to a human such as digits, letters, or faces.\nDeep learning has profoundly improved the performance of programs in many important subfields of artificial intelligence, including computer vision, speech recognition, natural language processing, image classification, and others. The reason that deep learning performs so well in so many applications is not known as of 2021. The sudden success of deep learning in 2012–2015 did not occur because of some new discovery or theoretical breakthrough (deep neural networks and backpropagation had been described by many people, as far back as the 1950s) but because of two factors: the incredible increase in computer power (including the hundred-fold increase in speed by switching to GPUs) and the availability of vast amounts of training data, especially the giant curated datasets used for benchmark testing, such as ImageNet.","score":63.16641805025819,"links":[]},{"source":"wiki_real_estate.hat","text":"Monuments\nCadastral survey monuments can be either natural or artificial. Natural monuments are things such as trees, large stones, and other substantial, naturally occurring objects that were in place before the survey was made and are very unlikely to be moved. An artificial monument is anything that (within local surveying regulations) serves to mark a property boundary—having been placed by landowners, surveyors, engineers, or others. They have included (but are not necessarily limited to) iron pins or pipes, stakes, and concrete monuments. US courts have held that natural monuments take precedence over artificial monuments, because they are more certain in identification and less likely to be disturbed.\nOver time, construction and maintenance of roads and many other human acts, along with acts of nature such as earthquakes, movement of water, and tectonic shift, can obliterate or damage the monumented locations of land boundaries. The land surveyor is often compelled to consider other evidence such as fence locations, wood lines, monuments on neighboring properties, and people's recollections. These other forms of evidence are known as extrinsic evidence, and are fairly commonly used. Extrinsic evidence is defined as evidence outside the writings, in this case evidence outside of the deed. Extrinsic evidence has been held to be of equal value to evidence from another source.\nA land surveyor sets monuments at actual physical points on the ground that define angle points of boundary lines dividing neighboring land parcels. These monuments may be iron rebar rods or pipes, but they vary by local regulations. Rods or pipes may have an affixed plastic cap over the top bearing the responsible surveyor's name and license number. Older monuments may exist such as old pipes, gun barrels, axles, mounds of stone, whiskey bottles, or even wooden stakes. In addition to rods and pipes, surveyors might use 4 inch × 4 inch concrete posts at the corners of large parcels or anywhere which requires greater stability (e.g. beach sand).","score":62.65458941464843,"links":[]},{"source":"wiki_real_estate.hat","text":"See also\nReferences\nExternal links\nReal Estate Institute of Australia (REIA) official website\n\n--- NEXT ARTICLE ---\n\nARTICLE: Cadastral surveying\nCadastral surveying is the sub-field of cadastre and surveying that specialises in the establishment and re-establishment of real property boundaries. It involves the physical delineation of property boundaries and determination of dimensions, areas and certain rights associated with properties. This is regardless of whether they are on land, water or defined by natural or artificial features. It is an important component of the legal creation of properties. A cadastral surveyor must apply both the spatial-measurement principles of general surveying and legal principles such as respect of neighboring titles.","score":45.103059609765616,"links":[]},{"source":"wiki_real_estate.hat","text":"See also\nReferences\nExternal links\n\n The dictionary definition of building at Wiktionary\n Media related to Buildings at Wikimedia Commons\n Quotations related to Building at Wikiquote\n\n--- NEXT ARTICLE ---\n\nARTICLE: Real estate business\nReal estate business is the profession of buying, leasing, managing, or selling real estate (commercial, industrial, residential, or mixed-use premises).\n\nMarketing and sales\nIt is common practice for an intermediary to provide real estate owners with dedicated sales and marketing support in exchange for commission. In Northern America, this intermediary is referred to as a real estate agent, real estate broker or realtor; whilst in the United Kingdom, the intermediary would be referred to as an estate agent. In Australasia, they are known as real estate agents, real estate sales representatives, property consultants, property managers, leasing agents, or simply the agents.\nThere have been various studies to detect the determinants of housing prices to this day, mostly trying to examine the impacts of structural, locational and environmental attributes of houses.","score":36.327294707324214,"links":[]},{"source":"test_v3_1.tah.hat","text":"The Memoria Protocol ensures surgical intelligence.","score":12.41694703506984,"links":[]}]},"metadata":{},"timestamp":"2026-07-08T22:51:24.623Z"}