7 AI Apps of the Week for Academic Research

Scinapse, System Pro, Paperpal, Lateral, Enago Read, Keenious, Elicit

Author

Vugar Ibrahimov
September 09, 2023

7 AI Apps of the week, 04-09 September 2023

1. Scinapse

Scinapse is a free web search engine for research publications. Academics can use Scinapse to search for research papers across multiple disciplines, from natural sciences to social sciences and humanities. Developers claim that Scinapse is better than Google Scholar.

2. System Pro

System Pro is a search engine designed for research, powered by AI. It is one of the fastest and most reliable ways to find, synthesize, and contextualize scientific literature in health and life sciences.

3. Paperpal

Paperpal is an advanced AI-powered online academic writing tool and grammar checker specifically tailored to assist researchers and academics in refining their manuscripts and academic writing. It provides real-time suggestions to improve language, grammar, and readability as you write, helping you deliver high-quality research articles faster.

4. Lateral

Lateral is an AI-powered app that helps researchers, academics and students. It allows you to organize, find, and read your papers in one place, and complete your research faster. With Lateral, you can drop in your documents or find papers, then search within all documents at once. If you find a great result, Lateral AI shows you more like it.

5. Enago Read

With it, students and academicians can now ask any questions in relevance to their research papers.

6. Keenious

Keenious is a tool that helps you find relevant research articles by analysing the text in your document. Instead of searching using individual search terms, Keenious analyses your text using AI and presents search results based on the topic of the analysed text.

7. Elicit

Elicit is an AI research app that uses language models to help automate research workflows, such as parts of literature review. It can find relevant articles/papers, summarize takeaways from the paper specific to your question, and extract key information from the papers. You can even find relevant papers even if they don't match keywords.