Zendy Unveils New AI-Powered Features for Research Papers
May 19, 2023 |
3 Mins Read
Zendy announced today the launch of its new AI-powered features that help researchers streamline the literature discovery process. Unlike traditional tools that rely on simple statistical methods, Zendy's AI-based summarisation and keyphrase highlighting tool comprehends the underlying meaning of research papers, resulting in more accurate information for the researcher.
With these new features, Zendy will continuously enhance its AI-based tool with new papers available in its platform. The new papers will be used to fine-tune the models to generate even more insightful information, providing researchers with the most up-to-date and relevant insights.
With the depth of content available to researchers, reviewing literature is one of the most time consuming, yet critical, aspects of the research process. AI-based summarisation can significantly optimise literature review by automating the process of identifying the most relevant information in a large body of literature.
Keyphrase highlighting within academic texts spotlights critical concepts in the text, making it easier for researchers to quickly and efficiently identify the most important information related to their research question.
We're pleased to offer researchers a more intelligent way to utilise and continue their discovery through research papers," said Zendy Co-founder Kamran Kardan. "It’s critical that the industry leverage the best technologies to deliver value to the research discovery process and enable a more effective and equitable experience for students, researchers, and professionals. The correct use and implementation of AI and machine learning has the power to make a true difference in creating a more knowledgeable world.”
In addition, Zendy's is building topic classification models that will deliver AI-based personalised search results to enable researchers to discover papers based on their interests and preferences.
Zendy's latest AI-based summarisation and keyphrase highlighting features are now available in beta-mode to users, and the platform will continue to evolve with new papers and enhanced AI capabilities, providing researchers with the industry’s most advanced research tools available.
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 Launches ZAIA, a Domain-Specific AI Assistant
United Arab Emirates, 15 December 2023 - AI-powered research library, Zendy, announced the launch of its AI Assistant, ZAIA, a domain-specific Large Language Model (LMM) developed by Zendy’s data science team. ZAIA (short for Zendy AI Assistant) exists to help researchers quickly understand key research concepts and discover research papers that specifically link to inputs. These two functions enhance the efficiency and effectiveness of the literature review process. You can ask any research-related question, and ZAIA will analyse millions of academic research papers to give you credible answers backed by references. Unlike general-purpose language models, ZAIA is trained with Zendy’s own data. In the future, it can also query, in real-time, additional sources from publisher data that are not available on the public domain. There is growing recognition of the necessity for domain-specific solutions to strengthen the credibility of data. Fine tuning models on domain-specific data narrows down the LLM’s focus to improve performance in a defined context, thus reducing the likelihood of hallucinations. “We developed ZAIA to advance the usage of AI on research platforms and improve the research discovery process for researchers. ZAIA aims to assist readers on Zendy by quickly solving research-related questions. ZAIA stands out from other AI products as it is fed real-time data and information available on Zendy, which is then fine-tuned to efficiently cater to our users,” said Zendy’s Head of Technology, Rodrigo Pinto. “The first iteration of our LLM, ZAIA, is our unique AI offering for Zendy users who can now leverage the best of AI to improve their research discovery process. This is a very exciting milestone for Zendy and we look forward to the feedback from our valued users,” said Zendy Co-founder Kamran Kardan. Committed to helping foster an ecosystem of collaborative partnerships rooted in responsible AI practices, Zendy’s Large Language Model is built to be entirely customisable. It has the capacity to learn from diverse datasets with integration made simple through Restful API’s or Websocket APIs. “Bigger picture, our technology presents limitless potential for organisations and institutions yet to integrate the power of LLMs into their workflows. The potential is immeasurable, with use cases including on-demand tutoring, psychology support services, employee onboarding, the list goes on,” continued Kamran Kardan. To find out more about Zendy’s AI solutions email hello@zendy.io. You can use ZAIA now on Zendy. To access, log in or sign up to Zendy: www.zendy.io.