This presentation provide an introductory overview to new AI 'Deep Research' Tools and Reasoning Models (OpenAI Deep Research, Anthropic 3.7, Grok Deep Research, Deep Seek R1, Gemini Deep Research and Perplexity Deep Research). The session will benchmarking models and providing best in class use cases across different academic disciplines for suitability and use value from STEM (Science Technology Engineering and Math) to Social Sciences and Humanities disciplines. Secondarily, it provides an introduction to Notebook LM, a new Google AI tool for learning to create, study guides, summaries and conversational interactive podcasts to help understanding of the complex articles and texts. NotebookLM is a great tool for academic learning from undergraduate to post-doc and research professor levels. This workshop will overview the awesome powers of these new tools for academic research and study for undergraduate, graduate students and faculty.
Speaker/Host
Dr. Raymond Uzwyshyn currently serves as Acting AUL for Research and Technology and Director of Research Services for the University of California, Riverside. Previously he served as Director, Collections, Digital and Web Services for Texas State University Libraries, Director of Online Libraries for American Public University System, Head of Digital and Learning Technologies for the University of West Florida and Web Services Manager for the University of Miami. Ray possesses a PhD/MA (NYU, Media Studies), MBA (IT Project Management) American Public and MLIS from the University of Western Ontario. He has chaired the American Society of Information Science & Technology, SIG in Information Visualization and served as a reviewer for the Bill & Melinda Gates Foundation Global ATLA Awards and editor for IFLA’s IT Bulletin. Ray's interests include AI, research data repositories, digital scholarly ecosystems, online education, digital research, multimedia digital libraries and new IT infrastructure implementation. Full vita: https://rayuzwyshyn.net