Literature reviews

Build a traceable literature shortlist with Inciteful, a verified seed paper, worked relevance decisions and downloadable search and decision logs.

Verify AI-generated references, check DOI records, read supporting passages, and keep a claim-by-claim log before using citations in your research.

Build an AI-assisted literature review with a search log, source-linked evidence matrix, reusable extraction prompt, and checks against the original papers.

Nature's Paper2Agent turns papers into AI 'virtual corresponding authors', Science unveils a multi-agent Virtual Biotech, plus new AI research in Management Science, ISR, MSOM and Operations Research.

AI agents are fact-checking the published canon and turning up decades-old errors in papers and reference tables — while journals debate whether AI should be patching peer review or replacing it. Plus: the next Turing tests, generative AI as a causal tool, and a model predicting we'll 'do more, less well'.

Hi here is the recording of the first day of the workshop. Please also take a look of our github page for slides, readings, learning materials... http://github.com/lanceyuu/osloworkshop 00:15 Introduction 15:00 GenAI foundation 01:19:46 Literature review and management 02:04:23 Automation, assistant and agent 02:36:03 Stimuli generation 03:18:33 AI interviewer 03:52:38 API 03:59:01 Text analytics

Use NotebookLM for source-based reading and audio summaries. Follow citations, check missing evidence, and review privacy settings for your account.

Imagine if we could automate the discovery of groundbreaking scientific hypotheses, unlocking new possibilities faster than ever before. Three research teams have taken a significant step in that direction, unveiling a machine learning framework designed to generate and evaluate scientific hypotheses with remarkable efficiency. The new framework is built around three essential stages: extracting, generating, and evaluating hypotheses. Initially, the system extracts existing h

The webinar hosted by Wiley's training team was centered on the transformative impact of generative AI on information discovery, particularly in the context of scholarly research and publishing. Dr. Hong Zhu, the Director of Intelligence Service Group at Wiley Partner Solutions, was the featured speaker. The session was designed to clarify how AI technologies, especially generative AI, are reshaping the ways in which researchers interact with and leverage digital content. The