{"id":8686,"date":"2019-01-24T13:45:57","date_gmt":"2019-01-24T11:45:57","guid":{"rendered":"http:\/\/newinsights.oeb.global\/?p=8686"},"modified":"2022-01-20T11:53:35","modified_gmt":"2022-01-20T09:53:35","slug":"when-we-say-artificial-intelligence-that-understands-science-what-do-we-really-mean","status":"publish","type":"post","link":"https:\/\/oeb.global\/oeb-insights\/when-we-say-artificial-intelligence-that-understands-science-what-do-we-really-mean\/","title":{"rendered":"When we say \u201cArtificial Intelligence that understands science\u201d, what do we really mean?"},"content":{"rendered":"

\"\"<\/a>Three years ago we started Iris.ai with the goal of making researchers\u2019 lives easier. We\u2019ve launched a suite of tools based on artificial intelligence technology, which sometimes seems to have people a tad confused. One of my goals in life is to take complicated technology and make it understandable to everyone, and I figured this would be the perfect place to try to expand on what we mean when we talk about \u201can AI that understands science\u201d as I totally agree, that\u2019s quite a fluffy statement.<\/strong><\/p>\n

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First, a brief description of our actual tools before we dig into the technology. Our tools are intended for researchers in the early stage of a new project, about to set out on a systematic research mapping or a simpler literature review. The tools are especially suitable when the researcher is mapping out a field that is new to them, or when the nature of the research is interdisciplinary meaning the researcher is not a deep domain expert in every topic incorporated in the work. In short, the moment you\u2019re dealing with unknown unknowns, sitting down with google scholar to try and find those unknown resources are complicated and that\u2019s where our tools come in. We have found that a team of researchers using our AI-powered science tools get a far broader and better overview over the field(s) and can draw superior conclusions compared to teams using traditional keyword query based tools such as Scholar and PubMed.<\/p>\n

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Then, over to the \u201chow the heck are you doing this and what is this AI thing\u201d. Let\u2019s use the example of our first tool, freely available on our website on the.iris.ai. What we do here is that we train a machine to understand the context of your problem. You write it out in 300-500 words, like you would explain it to a colleague or define it in your PhD intro. Our machine then does the following:<\/p>\n