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AI From Our Editors: The following writing is created using artificial intelligence and has been edited for quality assurance.
1940s-1950s
The concept of AI was influenced by earlier work in mathematics, computer science, and philosophy. Alan Turing's work, particularly the Turing Test proposed in his 1950 paper "Computing Machinery and Intelligence," laid foundational ideas for AI.
1956
The term "artificial intelligence" was coined by John McCarthy at the Dartmouth Conference. This event is often considered the birth of AI as a field of study. Attendees included influential figures like Marvin Minsky, Allen Newell, and Herbert A. Simon.
1950s-1960s
Early AI research focused on symbolic AI and problem-solving. Notable projects included Newell and Simon's Logic Theorist and GPS (General Problem Solver), and McCarthy's development of the LISP programming language.
1970s
AI faced significant challenges due to limited computational power and unrealistic expectations, leading to reduced funding and interest. This period is known as the first AI winter.
1980s
AI experienced a revival with the development of expert systems, which used rule-based systems to emulate human expertise in specific domains. Companies and industries began adopting these systems, leading to renewed interest and investment.
Late 1980s-1990s
Despite the initial success of expert systems, they faced scalability and maintenance issues. Combined with economic factors, this led to another decline in AI research and funding.
1990s-2000s
Advances in computational power, the availability of large datasets, and improvements in algorithms (particularly in machine learning) revitalized AI research. Key developments included the success of statistical methods, support vector machines, and the emergence of early neural networks.
2010s
Deep learning, a subset of machine learning involving neural networks with many layers, began to achieve remarkable success in various tasks such as image and speech recognition. The development of frameworks like TensorFlow and PyTorch facilitated deep learning research and application.
2020s
AI continues to advance rapidly, with significant progress in natural language processing, generative models, reinforcement learning, and more. AI technologies are increasingly integrated into everyday applications, from virtual assistants to autonomous vehicles.
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Here are a couple of things we like (there are more)
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in Orlando or any city.
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Yelp is a public company. The company develops, hosts and markets the Yelp.com website and the Yelp mobile app, which publish crowd-sourced reviews about businesses. View more from Wikipedia Wikipedia Text under CC-BY-SA license
Major competitors for Yelp's business review service include TripAdvisor, Foursquare and user reviews on Google Maps.
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View Public Data for Orlando, Florida
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Site Search Data USA with DuckDuckGo
Data USA "The most comprehensive visualization
of U.S. public data." --Deloitte Gov
View Orlando public data like population, medium age, medium household income, poverty rate, number of employees, medium property value, economy, wages, health, diversity, education, housing and living information. The people at Data USA do a great job of displaying this information plus you can add a comparison to another city.
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Review anything from your favorite patio
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All three of these search engines provide a
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The people at TripAdvisor do a great job of displaying
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TripAdvisor, Inc. is an American travel and restaurant website company that shows hotel and restaurant reviews, accommodation bookings and other travel-related content. It also includes interactive travel forums.
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Guidebooks For Orlando
On Airbnb
Orlando local Airbnb hosts do a great job of highlighting Orlando and the surrounding area.
Orlando guidebooks on Airbnb include things like local food scene, essentials, entertainment & activities, shopping, drinks & nightlife, sightseeing and parks & nature.
One nice feature, there are many, on any Airbnb guidebook is the capability to see how many locals recommend any specific place mentioned in the Airbnb host's guidebook.
Look for the host's guidebook link in "The neighborhood" section.
Airbnb + Airbnb Guidebooks
A fun way to discover any city.
Some cities also have Airbnb city guidebooks, which are combined lists of recommendations that Airbnb hosts have added to their own guidebooks.
Guidebooks For Orlando On Airbnb
Site Search Airbnb
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Visit their Orlando store location or
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Whenever Possible
Reasons To Buy Local
AI From Our Editors: The following writing is created using artificial intelligence and has been edited for quality assurance.
"Buy Local" is a sentiment that emphasizes the importance of patronizing local businesses and products. It's a movement that encourages people to prioritize buying from local shops, farmers' markets, artisans, and small businesses rather than solely relying on big-box stores and big online retailers.
Reasons to Buy Local:
Overall, "Buy Local" is a call to action for people to be mindful of where they spend their money and to prioritize supporting local businesses whenever possible.
It is worth noting, buying from chain businesses or global businesses with a location in the community can still bring other benefits to you and the community such as access to a wider range of products, technology, and employment opportunities.
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β About the Orlando Information Center website. This is an opinion website, journal and guide, and displays information for discovering more of Orlando, integrates and displays information from open sources, and contains links that lead to information on the World Wide Web.
β None of the opinions, from our editors, that are displayed on the Orlando Information Center website should be construed as official or as official advice.
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From the editors at Orlando Information Center. We love using Google Maps to explore more of United States.
You can start with United States, Florida, or Orlando.
Remember to select the Nearby icon to Search nearby with your own keywords.
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Thank you for visiting OrlandoInformationCenter.com. This Orlando Guide is made possible by the World Wide Web and AI. I designed this website to explore more. I hope you enjoy using this journal and guide. Thanks again for visiting. βTom Swift.
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