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We are excited to share that scispace is now available to smu community However, like illuminate, this is strictly for research papers only, whereas google notebooklm covers everything from audio files and youtube videos to slides in pdf and more What you can do with scispace
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By aaron tay, lead, data services in the past, we have reported on the latest generation of ai or large language model powered search engines like bing chat, elicit.org, scite assistant and we will focus on another one called scispace in this article Another alternative to illuminate is to use scispace's podcast feature Scispace, like most academic search engines, offers a traditional web search interface.
Earlier versions of scispace only allowed you to name the column, but the latest version allows you to go beyond by giving specific instructions of what to extract
In the following example, i ask scispace to not just extract the discipline covered but also classify it into 4 broad areas Disclosing the use of search tools is in my opinion somewhat a grey area, particularly if all you do with ai tools like elicit, scispace, undermind.ai is to look through the results that are surfaced which is no different from the use of google scholar or traditional databases which typically are not disclosed. Scispace custom table output similar to scite.ai assistant is scispace (we have limited copies of the premium version) with a similar feature If you're more interested in the academic conversation and need to see if a paper's claims have been supported or contrasted by later research, use the scite.ai assistant.
Ai2 scholar interface scispace deep review is an even newer feature in scispace It works pretty much the same way as openai's deep research except it searches scispace's own centralised index of papers Scispace deep review lastly, we have elicit.com's research reports On the surface, this works very much like all the other deep research.
This presentation was attended by 109 people online and around 40 people in person.
Scispace is now available to all smu researchers Its key features include searches and items ranking based on semantic and not just keyword search It can also extract data from full text.
