Comfort Mode uses Machine Learning techniques to learn what is comfortable for you, through the feedback you provide (too cold, a bit warm, freezing etc.) at that very moment. Ambi Climate's AI then automatically adjusts your air conditioner to maintain comfortable conditions for you, compensating for any changes in outdoor conditions or your daily habits. Over time this can also reduce overheating and overcooling issues you may encounter with a traditional remote.
Artificial intelligence (AI) is making inroads in just about every job that involves data processing, repetition, or predictive thinking. Instead of worrying about being replaced by AI, it's time to get ready for when AI will arrive in your workplace. Here are some of the most frequently asked questions about AI in the workplace -- and the answers you need to know.
AI has a long history of defeating human players in games. IBM's "Deep Blue" developed by Carnegie Mellon University beat chess world champion Garry Kasparov in their re-match in 1997. Google AlphaGo AI won the game "Go" by defeating leading Go player Lee Sedol. IBM supercomputer Watson beat two "Jeopardy" champions at their own game in 2011. But, did you know that AI recently conquered the very human game of Poker?
One of the latest was last week's AWS re:Invent, where Amazon announced a new suite of AI-enabled technology designed with businesses in mind. And while these new products, features, and tools come with a host of opportunities for the developers, marketers, and others who plan to use them, they also raise a few questions. What are they designed to do? How can they help you? Let's take a look at some of these AI announcements from AWS re:Invent and dig deeper into just what they mean.
Chatbot could be utilized to automate business-to-client interactions such as for creating customer service application. Not every task could be handled by the bot though, but it could handle a lot of tasks before some of the more complex ones are delegated to human. However, a lot of heavy-lifting is required to create the AI the bot, such as processing the input of the users, implementing the language understanding, training the machine, testing it, etc. Sometimes, we just want a simple bot that answers to frequently asked questions (FAQs). But different people ask differently, right? And maybe we are wondering how are we able to make our bot understand different questions that might have the same meaning and context. For this scenario, we could make use of QnA Maker API. With QnA Maker API we can build, train, and publish a simple question and answer bot based on FAQ URLs, structured documents or editorial content in minutes.