Zendy Launches ZAIA, a Domain-Specific AI Assistant
Zendy Announces New Version Releases of ZAIA - AI Assistant
United Arab Emirates, 13th March 2024 - AI-powered research library Zendy has announced the launch of a significant version release for its domain-specific Large Language Model (LMM), ZAIA (Zendy AI Assistant). Developed by Zendy’s data science team and initially launched in December 2023, ZAIA is designed to enhance the efficiency and effectiveness of research discovery and literature review. In this new version, a host of new features have been introduced to support researchers: Ask ZAIA: You can now ask specific questions to ZAIA on a paper level, giving you a new way to conduct in-depth analysis during literature review. PDF Analysis: ZAIA can now analyse any PDF. Upload or link a research paper with sections, and ZAIA will extract, analyse, and summarise each section, including the abstract, introduction, methods, results, discussion, and references. Reference validation and verification: using techniques such as chain of verification, all references go through a validation and verification process to increase accuracy. Conversation and analysis history: once you log in, you can now see a complete history of all conversations with ZAIA and a history of PDFs analysed. An enhanced fine-tuned model for increased accuracy. ZAIA is also now accessible without registration. ZAIA is not a general-purpose language model. It is fine-tuned with Zendy’s own data sources, allowing it to support higher-level abstractions for research-specific use cases. “ZAIA 0.1 takes us closer to our vision of creating an ecosystem of research-centric AI tools using the latest development methods that increase efficiency and reliability. The future of research is intertwined with the vast capabilities of AI, and we are committed to leveraging the best of AI to provide solutions to the pressing issues researchers face in research discovery,” said Zendy’s Chief Technology Officer, Rodrigo Pinto. “We have a core focus on increasing collaboration with publishers and data providers to navigate the increasing potential of AI. We look forward to extending the vast capabilities of our LLM and all our learnings to institutions, publishers, and organisations looking to streamline information discovery and retrieval using AI,” said Zendy Co-founder Kamran Kardan. Committed to helping foster an ecosystem of collaborative partnerships rooted in responsible AI practices, Zendy believes AI is important in fostering an equitable research and publishing ecosystem, but only with ethical guidelines. In response to the growing discussion around AI, Zendy recently released a list of AI imperatives to guide strategic development and the integration of AI technologies. To find out more about Zendy’s AI solutions, email hello@zendy.io. You can use ZAIA now on Zendy, visit www.zendy.io/zaia. To read the Zendy AI Imperatives statement, click here. About Zendy Zendy is a product of Knowledge E. Since its inception in 2019, Zendy has introduced over 500,000 users to a better way to research. Zendy’s intuitive AI-powered research library features millions of journals, articles, e-books, and more, allowing users to access unlimited content for an affordable monthly subscription. Zendy also offers a free open-access plan. Press contact: Monica Chinsami Head of Marketing
Zendy and IntechOpen's Joint Webinar: Addressing Accessibility, Discoverability and a Sustainable Future.
We hosted a joint webinar with IntechOpen in November that addressed emerging technologies across different industries that contribute to sustainability and research accessibility and discovery. The webinar was titled, “Emerging Technologies - Partnering for Accessibility, Discoverability and a Sustainable Future.” The session featured 3 key speakers, Dr. Jo Havemann representing AfricArXiv, Professor Tatiana Morosuk from Technical University of Berlin and Zendy’s Head of Marketing, Monica Chinsami. Each speaker articulated how their organisation works to increase sustainable practices through research dissemination. Zendy’s Head of Marketing, Monica Chinsami highlighted our library’s initiatives to advance the accessibility and discoverability of scholarly literature. In an effort to break geographical barriers in research, Zendy partners with leading publishers to ensure their content reaches regions with limited access via our global subscription. Additionally, Professor Tatiana Morosuk from the Technical University of Berlin placed emphasis on the transionary period the energy sector is experiencing as it moves away from fossil fuel and towards technology focused on sustainability. The professor stated the importance of innovation to advance sustainable practices and energy use. Finally, Dr. Jo Havemann stated how AfricArXiv is on a mission to make African research more discoverable as this is in line with SDG 4 (Quality Education), the organisation announced their collaboration with Ubuntunet which is a network provider that assists with connectivity and infrastructure for research and education institutions. Advancing research dissemination catalyses SDG 4 (Quality Education) and SDG 10 (Reduced Inequalities). As equitable research platforms emerge and partner to expand their reach, the more academic research is democratised to create knowledgable societies. We look forward to hosting more webinars in 2024, to tackle and highlight the initiatives in the world of academia. Discover millions of e-books, journal articles, proceedings and more on Zendy now.
Zendy's Head of Technology, Rodrigo Pinto, presents at F.O.R.M 2023.
Abu Dhabi, United Arab Emirates - 28 November 2023 - Our head of technology, Rodrigo Pinto Mendez, presented his paper titled: "Leveraging Big Data and Machine Learning to Enhance Open Data Quality: Insights for Developing Regions" at the Forum for Open Research panel that tackled "Open Data and Open Source: Benefits and Case Studies." The presentation addresses the need for accurate and reliable open data, focusing on developing regions that can accelerate their social and economic progress through data-driven insights. It explores the relationship between big data and machine learning in enhancing the quality of open data while also observing how open data can be extracted, transformed, and unified. The talk also assesses how machine learning can be used to detect anomalies within datasets. About F.O.R.M. 2023 The 2023 Annual Forum featured panels addressing key themes related to the advancement of Open Science policies and practices in research institutions and communities throughout the Arab world. This 2023 conference theme was:Democratizing Knowledge:The evolution of open science ecosystems and communities in the Arab World.