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10 Best AI Tools for Research: Consensus, Scite, Elicit & More

AI tools are not just transforming the Generative AI space, but they are also being used to discover and analyze academic research papers. The AI boom has led to many AI-powered search engines for research, citation generation, finding key insights, and more. The AI tools for research can help you find relevant research papers and check emerging trends. On that note, find our list of best AI tools for research. 1. Consensus If you are doing research for academic work, Consensus is the best AI tool you can use. It's an AI-powered academic search engine that collates millions of research papers from various fields. The best part about Consensus is that it has a Consensus Meter which shows where the research leans for your question or research study. It shows 'Yes', 'Possibly,' or 'No' based on published data from various papers. It can analyze up to 20 papers at once. Apart from that, Consensus shows a quick AI-powered Study Snapshot from the scientific literature to show key information about the study. Not to mention, you get AI-powered summaries, key takeaways, and insights. Finally, you can chat with Copilot and ask questions or get assistance to draft your research. Simply put, to find relevant studies and aid in research work, Consensus is the best AI tool out there. 2. Scite Scite is another powerful AI-powered tool that is ideal for students and researchers. It evaluates scientific studies to answer your questions, backed by real research and citations. Scite is widely used by universities, publishers, and corporations across the world. The feature called Smart Citations adds context to each citation and checks references to provide reliability of studies. For each topic, you can find research papers that support or dispute the claim. It helps researchers quickly find scientific literature relevant to their area of study. Moreover, for those unaware, Scite is funded by the National Institutes of Health (NIH), and the National Science Foundation (NSF). 3. SciSpace If you wish to understand research papers in simple words, I strongly recommend giving SciSpace a try. It offers a 'Chat with PDF' tool that explains and summarizes research papers. Next, you can ask questions, and it generates AI-powered insights from the top five research papers. Right below, SciSpace displays all the top papers with the journal name, key findings, PDF access, external links, and more. There are also tons of filter options that can help you narrow down recent publications, find papers based on citation count, and more. What I find interesting is that you can add multiple columns to display results, summarized abstracts, limitations, and much more next to research papers. 4. Semantic Scholar Next, we have Semantic Scholar, the free AI-powered research tool to find scientific literature and academic research papers to back your claim. It has a vast database of more than 200 million papers from various fields. It offers a deep search functionality and shows the citation count below every research paper. You can further filter out the field of study and find papers based on journals, publication dates, authors, and more. Furthermore, you can check out all the references and move to the DOI link to find the paper. The standout feature of Semantic Scholar is that it can perform advanced citation analysis across its large library of databases to provide relevant papers. If you want to discover scientific literature, Semantic Scholar is a great free AI tool. 5. Elicit In academic research, the process of literature review takes up a lot of time. Elicit is one such AI tool for research that automates summarizing papers, extracting data, and evaluating new findings seamlessly. You can search, ask research questions, and get relevant papers from its massive library of 125 million research papers. The best part about Elicit is that you can extract details in a tabular format. Next, you can choose a relevant paper and find more papers like it. Not to mention, Elicit can generate AI-powered abstract summaries to quickly get the gist of the paper. Apart from that, it can connect concepts across various domains and show papers backing the claim. Finally, you can also upload your PDF research papers and chat with them. 6. ScholarGPT ScholarGPT is one of the best custom GPTs for ChatGPT that you can use for research purposes. It's the top-ranking GPT on OpenAI's GPT store. It researches on your behalf and answers questions backed by various research papers from leading journals and publications. The GPT connects to the internet to find high-quality sources to generate a response. And now that OpenAI has opened access to GPTs for all, free ChatGPT users can also chat with ScholarGPT or any other GPT without subscribing to the paid plan. So to find answers to your research questions, you must check out ScholarGPT. 7. Coral AI If you are looking for an AI tool that allows you to upload research papers and lets you chat with the document, meet Coral AI. It's widely used by researchers to process local papers. Coral AI uses AI to generate summaries and translations in 90+ languages. The best part about Coral AI is that it gives you citations with page numbers. You can upload multiple documents and find key information by collating information from all of the papers. To conclude, if you have several local research papers, and want to analyze them using AI, Coral AI is the best tool out there. 8. ResearchRabbit ResearchRabbit is heavily used by researchers for literature search and review. It allows you to search through papers and visualize them interactively. You can visualize citations among networks of papers, and find authors neatly. You can create a collection of research papers, and ResearchRabbit learns from your preferences and improves its recommendation engine. Not only that, it also has Zotero integration, which means you can easily manage your existing research materials. 9. Connected Papers Connected Papers is not an AI tool per se, but it's incredibly useful for researchers. It helps students discover new and relevant academic papers that might be under the radar. This is done through a visual graph of papers, showing a starting point and connections based on similarity. You can see the trends and find where the research area is heading using this platform. On top of that, along the connected points, you can also find important research papers to stay updated on emerging trends. If you are doing literature review, Connected Papers is an impressive tool you must use. 10. ChatGPT and Perplexity Although ChatGPT and Perplexity are general-purpose AI chatbots, you can use them for research purposes as well. The ChatGPT API is particularly used by many research AI tools to generate summaries, key insights, and more. ChatGPT lets you upload files, and it can also connect to the internet to find the latest papers on a research subject. And the best part is that now you can use all these features for free. Perplexity, on the other hand, is very good at combing through the internet and finding relevant information on any subject. It cites sources from where it collates the information, which can be pretty useful for researchers. I would suggest getting the paid Perplexity Pro subscription if you intend to do heavy research. The free plan tends to hallucinate a bit. So these are the best AI tools for research that students and researchers can check out. Most of the tools are free while some are paid ones. If you want to check out more free AI tools for various use cases, go through our linked article. And if we have missed out on your favorite AI tool for research work, let us know in the comments below.

Beebom

Thu, 25 Jul, 2:00 PM UTC

Hey academics, our Scite AI review went pretty well

Recently, we saw one of our colleagues struggling to write his thesis, caught in the maze of endless research papers and references. Tools like Scite AI offer a good opportunity to cut through the noise. They act as a gateway to quicker discovery, helping users find relevant papers and understand how those works have been cited in the academic community. Scite AI is an academic tool that helps researchers, students, and academics make sense of vast amounts of scientific literature. At its core, it's designed to give users not just access to research papers but a deeper understanding of them by using AI to analyze how those papers have been cited. Instead of just showing a simple citation count, it looks at whether a study has been supported, disputed, or merely mentioned by others, giving a clearer picture of its impact. This makes the process of literature review or research much faster and more focused. Instead of spending hours combing through references to see how credible a study is or how much it's influenced a field, Scite gives that insight upfront. The tool also offers an AI-powered assistant that can answer detailed questions based on the literature, providing citations and related research for a more comprehensive answer. It helps simplify the process of diving into new topics or fields where understanding the context is crucial. Scite AI comes packed with several features that are designed to streamline the research process and help users get the most relevant, credible information efficiently. One of the standout features is Smart Citations, which provide a more nuanced view of how research papers are cited. Instead of just giving a raw number of citations, it shows whether those citations support, dispute, or simply mention the original paper. This allows users to quickly gauge the credibility and influence of a study without having to dig through countless references themselves. Another useful tool is the AI-Powered Assistant, which can answer complex academic questions. Whether you're looking for a summary of a concept or trying to find key research on a topic, the assistant not only provides answers but backs them up with cited references, giving you the confidence that the information is grounded in real research. The platform also has a Search and Literature Discovery feature that uses AI to help users find relevant papers based on specific terms or questions. The results come with citation context, so you get a fuller picture of how each piece of research fits into the broader academic conversation. For those managing large numbers of references, Scite AI offers Citation and Reference Management tools. You can organize, track, and stay updated on the latest research, all from custom dashboards, which makes it easier to keep tabs on everything in one place. Here's a straightforward guide to help you get started and make the most out of Scite AI! Head over to Scite's homepage. You don't even need to sign up right away -- you can try the tool instantly. On the first page, you'll see a search bar where you can input your research questions. In our case, we entered "How to conduct a sentiment analysis using generative AI tools?" and received a detailed, technical answer with citations attached, all without signing up. After typing your question, Scite AI immediately provides a well-structured response. For instance, when we searched the protein structure question, it broke down the concept clearly, explaining protein folding, and referenced scientific papers to back up each point. This saves time compared to manually searching through individual papers. The answer doesn't stop at just providing information. Scite goes further by showing you how various studies cite the paper. In our example, we could see whether other research supports, disputes, or simply mentions the study on protein structure, making it easier to assess the credibility of the source. On another page, we tested Scite's AI search by entering "sentiment analysis." This pulled up relevant academic papers, showing the context of each citation. This feature makes exploring a broad topic more manageable, as the AI helps focus on the most cited or influential papers, providing a well-rounded view of the research field. Scite doesn't just stop at showing a few sources. It provides a complete breakdown of the publications it used to generate your answer. As we saw in the sentiment analysis search, it listed multiple scientific articles, with DOI links, making it easy to verify the information or dig deeper into the subject. Once you find the research you need, Scite AI allows you to save and organize papers into custom dashboards. In our experience, after searching for different terms, we could easily add relevant studies to a dashboard, helping us keep track of references for future use. This plan is ideal for students, independent researchers, and professionals who want to enhance their research experience with AI tools. Key features include: This plan is tailored for universities, research labs, and academic institutions. It comes with all the features available in the personal plan, but with additional benefits designed for larger teams and organizations: These tools make the research process smoother, there's no denying. Yet, it's important to stay ethical and vigilant when it comes to plagiarism. Scite AI, for example, did a good job of showing resources clearly on the right side of the screen, making it easy to track citations. This level of transparency is useful for maintaining academic integrity and avoiding any accidental missteps in sourcing.

Dataconomy

Fri, 27 Sept, 10:05 AM UTC

5 AI Tools Transforming Academic Research

In the rapidly evolving landscape of academic research, artificial intelligence (AI) tools have emerged as indispensable allies for scholars and scientists. These innovative technologies are not merely streamlining processes; they're fundamentally transforming how researchers interact with data, manage information, and disseminate knowledge. This article explores four innovative AI tools that are significantly enhancing research efficiency: Dataline, Intelligent Knowledge Interface (IKI), Excitation, Outro and Jotlify. Each of these tools brings unique capabilities to the table, addressing specific challenges faced by modern researchers. Imagine having a tool that respects your data privacy while offering powerful local analysis, or a platform that turns your document library into a searchable goldmine of knowledge. Picture a browser extension that improves your Google Scholar experience, or an app that transforms dense research papers into engaging audio summaries. Each of these tools offers unique features tailored to tackle specific research challenges, promising to make your academic journey not only more manageable but also more rewarding. So, if you're ready to transform your research workflow, read on to discover how these AI tools can become your new best friends in academia. In an era where data privacy is paramount, Dataline stands out as a beacon of security in the realm of research tools. This AI-powered platform operates entirely on your local machine, making sure that sensitive research data never leaves the confines of your personal computing environment. Key features of Dataline include: By using Dataline, researchers can confidently analyze their data without compromising on privacy. The tool's ability to generate visual representations such as bar charts and line graphs assists a deeper understanding of data trends and patterns. This local approach to data analysis not only safeguards sensitive information but also accelerates the research process by eliminating the need for external data processing services. The Intelligent Knowledge Interface (IKI) is transforming how researchers interact with their vast libraries of documents. This sophisticated tool creates a searchable knowledge base from your collection of PDFs and text files, making information retrieval more efficient than ever before. IKI's standout features include: By employing IKI, researchers can rapidly sift through extensive document collections, extracting relevant information with unprecedented speed and accuracy. The tool's multi-language support ensures that it caters to the global research community, breaking down language barriers in academic literature. The co-pilot feature acts as an intelligent assistant, guiding researchers towards critical insights that might otherwise be overlooked in the vast sea of information. Here are more guides from our previous articles and guides related to Data Line: Local data analysis that you may find helpful. Excitation is a browser extension that enhances the functionality of Google Scholar, one of the most widely used academic search engines. This tool adds a layer of sophistication to your literature searches, helping you navigate the ever-expanding universe of academic publications more effectively. Key benefits of Excitation include: By using Excitation, researchers can prioritize high-impact papers, saving valuable time in the literature review process. The tool's ability to flag potentially predatory journals serves as a crucial safeguard, helping researchers avoid unreliable sources that could compromise the integrity of their work. The quick summary feature allows for rapid assessment of a paper's relevance, streamlining the process of building a comprehensive literature base for your research. Jotlify represents a paradigm shift in how researchers consume academic content. By converting research papers into audio summaries, this innovative tool caters to diverse learning styles and enables multitasking in ways previously unimaginable in academic research. Jotlify's unique offerings include: The audio format provided by Jotlify allows researchers to engage with academic content while performing other tasks, maximizing productivity. This tool is particularly beneficial for researchers with visual impairments or those who prefer auditory learning. By transforming dense academic text into digestible audio narratives, Jotlify makes research more accessible and engaging, potentially broadening the reach and impact of academic work. These AI tools are reshaping the research landscape, offering solutions that address key challenges in data analysis, document management, literature search, and content accessibility. By integrating these technologies into their workflows, researchers can significantly enhance their efficiency, gain deeper insights, and push the boundaries of their respective fields. As AI continues to evolve, we can expect even more sophisticated tools to emerge, further transforming the research process. The key for modern researchers lies in staying informed about these technological advancements and judiciously incorporating them into their work practices to maximize productivity and impact.

Geeky Gadgets

Tue, 12 Nov, 10:02 AM UTC

Plaud AI's NotePin Review : The Future of Note-Taking is Here

In the ever-evolving landscape of productivity tools, Plaud AI has introduced two innovative devices that are set to transform how professionals handle meetings, conversations, and ideas. The Plaud Note and the NotePin are AI-driven tools designed to convert spoken words into text summaries and mind maps, effectively serving as personal memory aids. These AI tools are particularly helpful for professionals seeking efficient note-taking solutions in today's fast-paced work environment. When juggling meetings, conversations, and ideas is part of the daily grind, finding a reliable way to capture and organize information can feel like a constant challenge. For anyone who's ever wished for a personal assistant to track the whirlwind of information that comes their way, these devices might just be the solution. The Plaud Note and the NotePin not only record your conversations with a simple press but also transcribe them into clear, concise notes you can easily refer back to. Whether you're a professional navigating back-to-back meetings, a student attending lectures, or a journalist conducting interviews, the Note and NotePin offer a seamless way to capture crucial details without the hassle of manual note-taking. The Plaud Note is a compact and elegantly designed device that magnetically attaches to your smartphone, integrating seamlessly into your daily routine. Its functionality is impressively straightforward - with a simple button press, it begins recording audio using a vibration conduction sensor, making it especially effective for phone calls. This innovative approach ensures high-quality audio capture, allowing you to focus entirely on your conversations without the distraction of manual note-taking. One of the standout features of the Plaud Note is its exceptional transcription capabilities. It excels in converting spoken words into written text, making it an ideal tool for capturing important details from meetings, interviews, or brainstorming sessions. This feature is particularly beneficial for: While the Plaud Note offers impressive functionality, the Plaud NotePin takes portability to the next level. This wearable device provides similar capabilities to its counterpart but in a more versatile form factor. The NotePin can be worn on your wrist or around your neck, offering unparalleled convenience for professionals who are constantly on the move. The NotePin uses a mobile app to manage recordings and transcriptions, providing users with an intuitive interface for organizing their audio content. This wearable nature makes it ideal for: Below are more guides on AI assistants from our extensive range of articles. Both the Plaud Note and NotePin support transcription in multiple languages, catering to a global user base. They offer a range of templates tailored to various contexts, enhancing their versatility across different professional settings. The AI technology employed by these devices goes beyond mere transcription: These AI-generated summaries and mind maps are easily shareable, facilitating smoother communication and collaboration among team members. A premium feature allows users to query past recordings for specific details, adding significant value by allowing efficient information retrieval. Plaud AI devices incorporate several innovative features that enhance their utility: However, potential users should be aware of certain limitations: The Plaud AI devices offer an effective solution for managing conversations and meetings, striking a balance between advanced functionality and portability. The NotePin, in particular, stands out for its versatility in various professional settings. These devices are well-suited for users who require: By offering a modern approach to audio management, Plaud AI's Note and NotePin are poised to become valuable tools in the professional's productivity arsenal. While they represent a significant investment, the potential time savings and improved information retention could prove invaluable for many users. As with any technology, the true test will be in real-world application across various industries. However, the innovative features and thoughtful design of these devices suggest that Plaud AI is on the right track in addressing the evolving needs of today's professionals.

Geeky Gadgets

Wed, 20 Nov, 12:35 PM UTC

NotebookLM became my all-star assistant in 2024

Google's Audio Overview transforms your meeting notes into engaging podcasts Between juggling work and personal endeavors, there were times when my brain felt overloaded in 2024. On the work front, many of my research sources, documents, and meeting notes held valuable information, but synthesizing it all wasn't easy. I've used NotebookLM for Android Police since it launched, mainly for experimentation and testing. Then, I decided to try it on a larger scale. ✕ Remove Ads NotebookLM became my second brain. This notebook stores everything, connects the dots, summarizes key points, and answers questions. It became my command center for diverse sources, from meeting notes to project plans, research articles, and random brainstorms. Instead of drowning in information, NotebookLM made managing a ton of data possible without losing focus. Related Google Gemini: Everything you need to know about Google's next-gen multimodal AI Google Gemini is here, with a whole new approach to multimodal AI Posts 5 It became my information warehouse Google's AI notebook became my smart repository NotebookLM quickly became my go-to tool for capturing a range of data from diverse sources. It wasn't only for meeting minutes. I use it to document processes, keep track of important links, upload documents, reference videos and my files on Drive, and more. ✕ Remove Ads NotebookLM supports a variety of file types and sources. You can include Google Docs, Google Slides, PDFs, text files, Markdown files, web URLs, copy-pasted text, YouTube URLs, and audio files, which are transcribed upon upload. However, there are limitations. For web content and videos, only the text and transcripts are used. Not all file formats are supported, nor are paywall web pages. The maximum number of sources you can add to a single notebook is 100, but that's more than I need. 4 It synthesized my notes The platform crystallized my hasty scribbles NotebookLM connected the dots. By tapping related notes into a Notebook (such as notes for a specific project), I saw the big picture and the small details. It was like having a personal assistant who organized and cross-referenced everything. ✕ Remove Ads The summarization feature was another nice benefit. Instead of reading through pages of notes, I asked NotebookLM to create concise summaries, saving time. With a simple prompt, NotebookLM condensed key steps and considerations into a digestible summary, ready to share with others. 3 It distilled external sources into important points Research didn't turn into a rabbit hole Research used to feel like falling down a rabbit hole. Now, when I explore a new topic, service, or tool, I throw all my sources and findings into NotebookLM. The AI surfaces what matters and is easy to query with follow-up questions. Beyond summarizing research information, NotebookLM helped me understand it. Instead of getting lost in the weeds, I made connections I might have missed. It allowed me to spend more time focusing on analysis and action. 2 It enhanced my collaboration skills Taking action on teamwork got easier ✕ Remove Ads NotebookLM was a benefit for collaboration. Getting everyone on the same page became simpler. After a brainstorming session, for example, I uploaded the meeting transcript and used NotebookLM to generate a concise summary of ideas discussed, decisions, and next steps. I then shared the summary with my collaborators. I could also share complete notebooks using the same process you would to share any Google Doc. I'd like to use this feature more often in the future. For example, the shared workspace could transform close collaboration with immediate team members. 1 I stayed calm under pressure Working smarter got easier NotebookLM eliminated the panic when retrieving long-forgotten information. Within seconds, I found details from months-old meetings and facts buried in research documents. By allowing me to recall details instantly under pressure, NotebookLM helped me work smarter in 2024. Think of it this way: NotebookLM keeps you from swapping back and forth between dozens of sources on different systems. With information from the web, video links, and your notes stored alongside uploaded documents, frantic clicking and the stress of remembering where you saw this or that are reduced. ✕ Remove Ads Audio Overviews weren't the main character Audio Overviews are awesome. They take bland information, riff on it between two virtual hosts, and create a dynamic and engaging personal podcast. This could be a great study tool and is just plain cool. Related Google's Audio Overview transforms your meeting notes into engaging podcasts Make everything a podcast Posts Including Audio Overviews in NotebookLM has been marketing gold for Google. For me, Audio Overviews remain more of a novelty. It isn't only a go-to feature in my day-to-day applications of synthesizing and analyzing information. On the other hand, if I were a social media content creator, I'd be jazzed about the potential to crank out good original content without a big production team. Can you trust NotebookLM with your information? NotebookLM data is protected by Google's general security measures, which include encryption and multifactor authentication. Google also says it doesn't use user data to train its AI models without consent. ✕ Remove Ads However, storing sensitive information in any cloud-based service, including NotebookLM, has risks. These include data breaches and unauthorized access, resulting in the potential misuse of your data. For this reason, I don't recommend storing anything sensitive in NotebookLM. The true value of NotebookLM NotebookLM became a go-to tool for me in 2024. I frequently used it alongside Gemini, which I rely on for general run-of-web insights. It helped me conquer information overload by acting as a central hub for my notes, research, and documents. The AI-powered features like summarization and connecting related ideas helped me get better results faster. Whether collaborating or recalling a detail from a past meeting, NotebookLM made me more efficient and effective. While the Audio Overviews are a fun feature, the real value lies in ingesting personal datasets and everything it unlocks. ✕ Remove Ads

Android Police

Sun, 22 Dec, 12:00 AM UTC

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