{"id":15563,"date":"2023-08-01T08:17:40","date_gmt":"2023-08-01T08:17:40","guid":{"rendered":"https:\/\/www.dimensions.ai\/?p=15563"},"modified":"2023-12-15T14:37:26","modified_gmt":"2023-12-15T14:37:26","slug":"powering-research-with-dimensions-ai-assistant","status":"publish","type":"post","link":"https:\/\/www.dimensions.ai\/blog\/powering-research-with-dimensions-ai-assistant\/","title":{"rendered":"Powering research with Dimensions AI Assistant"},"content":{"rendered":"\n<p><strong><em>Dimensions is introducing the beta of a new AI Assistant to enhance the user experience, with the research community playing a critical role in ensuring our AI delivers what they need.<\/em><\/strong><\/p>\n\n\n\n<p>Imagine using AI to leverage the power of Dimensions with the click of a button. That\u2019s exactly what you can do with <a href=\"https:\/\/www.dimensions.ai\/discover-dimensions-ai-assistant\/\">Dimensions AI Assistant:<\/a> your interaction with the world&#8217;s research knowledge is assisted by a powerful AI that takes you beyond keywords to a semantically rich summary with references, fully contextualizing the results and linking them with the literature. Digital Science has announced a closed beta release of Dimensions AI Assistant, which will allow users to achieve their goals quicker by helping them find the most relevant research and receive relevant synposes, leveraging the power of the Dimensions large language model, Dimensions General Science-BERT, and Open AI\u2019s GPT models.<\/p>\n\n\n\n<p class=\"has-text-align-left\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"406\" src=\"https:\/\/www.dimensions.ai\/wp-content\/uploads\/2023\/07\/ezgif.com-optimize.gif\" alt=\"\" class=\"wp-image-15555\"\/><\/figure>\n\n\n\n<p>\u201cThe Dimensions AI Assistant provides users with contextualized synopses using what is known as extractive and abstractive summarization,\u201d says Martin Schmidt, Head of Innovation at Digital Science. \u201cWhen a user interacts with Dimensions AI Assistant, it scans 33 million articles from the Dimensions database, retrieves and then semantically ranks the top results using semantic embeddings. The abstracts of the top 4 results are then processed by Open AI\u2019s GPT Models API to generate abstractive summaries, and the Dimensions General Science-BERT model is used to provide extractive answers for the top 10 publications,\u201d he explains.<\/p>\n\n\n\n<p>The main objective in releasing the closed beta of Dimensions AI Assistant is to gather valuable feedback from beta testers representing various segments, including academics, corporate entities, publishers, government agencies, and funding organizations. This approach ensures that user needs and interactions are given utmost importance as the app&#8217;s functionality continues to be developed. \u201cBy prioritizing the beta launch as an essential step, we aim to refine the product and ensure that it aligns with the expectations and requirements of its target audience,\u201d says Christian Bode, Head of Product, Dimensions.<\/p>\n\n\n\n<p>\u201cThis focus on user feedback and refinement of the Dimensions AI Assistant aligns perfectly with our approach to AI,\u201d says Digital Science CEO Daniel Hook. \u201cWe recognize the challenges inherent in using AI, especially for something as fundamental and impactful as research.&nbsp; The ethical and social implications of this technology cannot be ignored and hence we feel that an ethical and responsible approach is needed, even in the face of rapid innovation and the hype around AI.\u201d He adds, \u201cWe are committed to releasing tools where we either explicitly understand and can state their downsides or where we have a high degree of confidence and trust in their outputs. We believe this approach is crucial so we can empower users to discern when they can trust the AI and when they should exercise caution.\u201d<\/p>\n\n\n\n<p>This beta launch of Dimensions AI Assistant will be the first step in developing additional AI helpers. The feedback is meant to be a guide to explore opportunities to integrate Dimensions AI Assistant into Dimensions Analytics. <\/p>\n\n\n\n<div class=\"wp-block-dimensions-cta dimensions-cta flex justify-start dimensions-cta-blue-light\"><a href=\"https:\/\/www.dimensions.ai\/sign-up-to-the-dimensions-newsletter\/\">we are no longer accepting applications,  sign up to our newsletter to keep up to date with the latest news on dimensions ai assistant<\/a><\/div>\n\n\n\n<p>For more information, go to the <a href=\"https:\/\/www.dimensions.ai\/products\/all-products\/dimensions-ai-assistant\/\">product page<\/a> or simply contact the <a href=\"https:\/\/www.dimensions.ai\/get-in-touch\/\">Dimensions team<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dimensions is introducing the beta of a new AI Assistant to enhance the user experience, with the research community playing a critical role in ensuring our AI delivers what they need.<\/p>\n","protected":false},"author":19,"featured_media":15570,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"latestblog_background":"","latestblog_bgcolor":"","latestblog_textcolor":"","latestblog_overlay":false,"inline_featured_image":false,"footnotes":""},"categories":[8],"tags":[82,84,83],"resource_audience_segment":[],"class_list":["post-15563","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-artificial-intelligence","tag-dimensions-ai-assistant","tag-product-launch"],"acf":{"author_image":false,"author_name":"Misha Kidambi","header_image":"","cta":""},"featured_image_urls":{"full":["https:\/\/www.dimensions.ai\/wp-content\/uploads\/2023\/08\/1.png",1600,900,false]},"post_excerpt_dimensions":"<p>Dimensions is introducing the beta of a new AI Assistant to enhance the user experience, with the research community playing a critical role in ensuring our AI delivers what they need.<\/p>\n","category_list":"<a href=\"https:\/\/www.dimensions.ai\/blog\/category\/blog\/\" rel=\"category tag\">Blog<\/a>","author_info":{"name":"Misha Kidambi","url":"https:\/\/www.dimensions.ai\/blog\/author\/misha\/"},"comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/posts\/15563","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/comments?post=15563"}],"version-history":[{"count":0,"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/posts\/15563\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/media\/15570"}],"wp:attachment":[{"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/media?parent=15563"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/categories?post=15563"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/tags?post=15563"},{"taxonomy":"resource_audience_segment","embeddable":true,"href":"https:\/\/www.dimensions.ai\/wp-json\/wp\/v2\/resource_audience_segment?post=15563"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}