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Agent Workflow Memory (AWM): An AI Method for Improving the Adaptability and Efficiency of Web Navigation Agents - MarkTechPost

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href="https://www.marktechpost.com/"><span class="tdb-logo-img-wrap"><img decoding="async" class="tdb-logo-img td-retina-data" data-retina="http://www.marktechpost.com/wp-content/uploads/2019/06/WHITE-LOGO-2.png" src="http://www.marktechpost.com/wp-content/uploads/2022/08/WHITE-LOGO-1.png" alt="Logo" title="" /></span><span class="tdb-logo-icon tdb-logo-icon-svg" ><svg version="1.1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1024 1024"><path d="M835.584 663.479c0 37.326-30.258 67.584-67.584 67.584s-67.584-30.258-67.584-67.584c0-37.326 30.258-67.584 67.584-67.584s67.584 30.258 67.584 67.584zM579.584 220.087c0 37.326-30.258 67.584-67.584 67.584s-67.584-30.258-67.584-67.584c0-37.326 30.258-67.584 67.584-67.584s67.584 30.258 67.584 67.584zM470.016 671.671c0-36.864-14.336-81.92-30.72-113.664-19.456-30.72-51.2-64.512-83.968-83.968l-189.44-110.592-71.68 46.080 225.28 128c21.504 12.288 43.008 35.84 56.32 56.32 11.264 21.504 20.48 52.224 20.48 76.8l-1.024 260.096 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href="https://www.marktechpost.com/category/tech-news/ai-paper-summary/">AI Paper Summary</a></span> <i class="td-icon-right td-bread-sep td-bred-no-url-last"></i> <span class="td-bred-no-url-last">Agent Workflow Memory (AWM): An AI Method for Improving the Adaptability and...</span></div></div> <div class="td-pb-row"> <div class="td-pb-span8 td-main-content" role="main"> <div class="td-ss-main-content"> <div class='ai-viewports ai-viewport-1 ai-insert-1-31619650' style='margin: 8px 0; clear: both;' data-insertion-position='prepend' data-selector='.ai-insert-1-31619650' data-insertion-no-dbg data-code='PGRpdiBjbGFzcz0nY29kZS1ibG9jayBjb2RlLWJsb2NrLTEnIHN0eWxlPSdtYXJnaW46IDhweCAwOyBjbGVhcjogYm90aDsnPgo8ZGl2IGNsYXNzPSJ0ZC12aXNpYmxlLWRlc2t0b3AiPgogICAgPGEgaHJlZj0iaHR0cHM6Ly9weGwudG8vNnA3ZG02cCI+PGltZyBzcmM9Imh0dHBzOi8vd3d3Lm1hcmt0ZWNocG9zdC5jb20vd3AtY29udGVudC91cGxvYWRzLzIwMjUvMDIvU2luZ2xlc3RvcmUtQXByaWwtMjktMjAyNC0xMC1BTS0xLnBuZyIgYWx0PSIiIC8+PC9hPjwvZGl2PjwvZGl2Pgo=' data-block='1'></div> <article id="post-62493" class="post-62493 post type-post status-publish format-standard has-post-thumbnail category-ai-paper-summary category-ai-shorts category-applications category-artificial-intelligence category-editors-pick category-staff category-tech-news category-technology" itemscope itemtype="https://schema.org/Article"> <div class="td-post-header"> <header class="td-post-title"> <h1 class="entry-title">Agent Workflow Memory (AWM): An AI Method for Improving the Adaptability and Efficiency of Web Navigation Agents</h1> <div class="td-module-meta-info"> <div class="td-post-author-name"><div class="td-author-by">By</div> <a href="https://www.marktechpost.com/author/nikhil0980/">Nikhil</a><div class="td-author-line"> - </div> </div> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2024-09-15T04:00:00-07:00" >September 15, 2024</time></span> </div> </header> </div> <div class="td-post-content tagdiv-type"> <div 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">0 <span class="swp_label">Shares</span></span></div></div> <p>Web navigation agents revolve around creating autonomous systems capable of performing tasks like searching, shopping, and retrieving information from the internet. These agents utilize advanced language models to interpret instructions and navigate through digital environments, making decisions to execute tasks that typically require human intervention. Despite significant advancements in this area, agents still struggle with complex, long-horizon tasks that involve a sequence of interdependent actions. These tasks demand a level of adaptability and learning that current systems have yet to be able to achieve effectively.</p> <p>One major challenge in developing these agents is their inability to learn from previous tasks. While they may perform well with examples they have been specifically trained on, they are often inefficient when facing unfamiliar tasks. Agents operate in isolation, solving each task individually without reusing past experiences to inform future decisions. This limitation reduces their efficiency and adaptability, particularly in environments that require them to handle multiple tasks across various domains.</p> <p>Traditionally, the tools and methods to tackle these problems have relied on fixed training examples or in-context learning. These methods enable agents to perform well on predefined action sequences but fall short when handling novel situations or tasks that differ from their training data. For example, agents trained on specific shopping tasks may fail when asked to navigate a new website or complete a different task, such as booking a flight or retrieving social media information. The rigidity of these approaches limits the generalization capability of agents across varied tasks and environments.</p><div class='ai-viewports ai-viewport-1 ai-viewport-3 ai-insert-4-26327830' style='margin: 8px 0; clear: both;' data-insertion-position='prepend' data-selector='.ai-insert-4-26327830' data-insertion-no-dbg data-code='PGRpdiBjbGFzcz0nY29kZS1ibG9jayBjb2RlLWJsb2NrLTQnIHN0eWxlPSdtYXJnaW46IDhweCAwOyBjbGVhcjogYm90aDsnPgo8YSBocmVmPSJodHRwczovL3B4bC50by82cDdkbTZwIj4g8J+aqCBSZWNvbW1lbmRlZCBPcGVuLVNvdXJjZSBBSSBQbGF0Zm9ybSA6UGFybGFudC0gQ29udHJvbCBMTE0gYWdlbnQgYmVoYXZpb3IgaW4gY3VzdG9tZXItZmFjaW5nIGludGVyYWN0aW9ucyAoUHJvbW90ZWQpIDwvYT48L2Rpdj4K' data-block='4'></div> <div class="wp-block-image"> <figure class="aligncenter is-resized"><img decoding="async" src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXewF7RKJ94pQMRtlwTNd9YMRemb4l1i1RIV1rqGEc2KmraUvOFTSdz6jx_3AwBVdft0md8DdQusR_CknlcRRLb3mcwA98UChJ0wMquAmlSX4aur0fmXi9VntUi62ZeiFl7avon6Le0sssypXMSGmd2JWh0?key=WF2eFShyVu23CnbP4wnH8g" alt="" style="width:606px;height:auto"/></figure></div> <p>A&nbsp; research team from the Carnegie Mellon University &amp; the Massachusetts Institute of Technology (MIT) has introduced a new method called Agent Workflow Memory (AWM) to address these challenges. AWM helps agents learn reusable task workflows from their past experiences, which they can apply to future tasks. This method enables agents to generate and store workflows—common sequences of actions—from previously solved tasks, making it possible to reuse them in different contexts. AWM can be applied in offline and online settings, where workflows are pre-trained or induced in real-time from test queries, offering a versatile solution for web navigation tasks.</p> <p>In detail, AWM works by analyzing the agent&#8217;s past experiences and extracting workflows from successful task completions. These workflows consist of goal-oriented routines stored in the agent&#8217;s memory for future use. For example, an agent might learn a basic workflow for finding a place by its name on a map. It can then build on this by learning more complex workflows, such as retrieving the ZIP code for the location. This memory-based approach allows the agent to adapt to increasingly complex tasks by leveraging previously learned workflows to inform future actions.</p> <div class="wp-block-image"> <figure class="aligncenter is-resized"><img decoding="async" src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXcpZVHMYZlbZaQe_1vf08JGhiJT2zic9wShi0LbT6PCezb456rpXt7In738c3jMusyEbDDGWxfaaWEujsTs5qFO13w7mgfGKePA0Ql2oo-pNOeqat0OqGBzCb4IuF5YIccZcfPKhG7QFuEtrgdDVgtAyEYd?key=WF2eFShyVu23CnbP4wnH8g" alt="" style="width:518px;height:auto"/></figure></div> <div class="wp-block-image"> <figure class="aligncenter is-resized"><img decoding="async" src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXeP_G-i__0XDXvtDlS1JlFF51qyr3ZplTMdvm2ahJLqGBwByyrrennFJXa-83TNfmJB2vvFOo--YgigOJjk_e242kC4NX4Rnu7qI20omlCzZF_GgpwMIBEKxPL12kGNt_vBxNvJWDJXOhDx6OpXPn5PcQks?key=WF2eFShyVu23CnbP4wnH8g" alt="" style="width:486px;height:auto"/></figure></div> <p>Regarding performance, AWM was tested on two major benchmarks—Mind2Web and WebArena—which consist of over 1,000 tasks spanning more than 200 domains, including travel, shopping, and social media. AWM significantly improved the baseline performance. On the Mind2Web benchmark, the success rate of tasks increased by 24.6%, while on WebArena, the relative success rate improved by 51.1%. Further, AWM reduced the number of steps required to complete tasks on WebArena, achieving up to a 22.5-point improvement over traditional methods after processing only tens of examples. These results demonstrate AWM&#8217;s ability to enhance the efficiency and adaptability of agents in various digital tasks.</p> <p>The researchers also found that AWM improved generalization across tasks, websites, and domains. In cross-task and cross-domain evaluations, AWM surpassed other baseline methods by 8.9 to 14.0 absolute percentage points. This generalization ability is particularly noteworthy, as it shows that AWM can adapt to tasks that differ significantly from those the agent was originally trained on. For example, an agent trained on tasks involving shopping websites could effectively generalize to other domains, such as social media or travel, without needing additional domain-specific training data.</p> <div class="wp-block-image"> <figure class="aligncenter is-resized"><img decoding="async" src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXc1hfkqUIhC492aJLS-xjNo2i_uVXCbb9n_ngooe5uUScktCtT1QGwRGQTEu-6vMssj1bK3jaagzIDcShpojJpCocT5LRj7w8jDxrdZjyXxJLFWPEHC4rOmmUltu7o1jPtjjozn-ms0i3qBYYzKu-FdjQGF?key=WF2eFShyVu23CnbP4wnH8g" alt="" style="width:560px;height:auto"/></figure></div> <p>In conclusion, the introduction of Agent Workflow Memory offers a promising solution to the limitations of existing web navigation agents. By enabling agents to learn and reuse workflows from past experiences, AWM improves task efficiency and adaptability, making these systems more versatile in handling complex, long-horizon tasks. The results from testing on Mind2Web and WebArena clearly show the method&#8217;s potential to revolutionize web navigation, allowing agents to handle a broader range of tasks with improved performance and fewer steps. This approach marks a significant advancement in developing more intelligent and flexible digital agents capable of generalizing across various tasks and domains.</p> <hr class="wp-block-separator has-alpha-channel-opacity"/> <p>Check out the <strong><a href="https://arxiv.org/abs/2409.07429" target="_blank" rel="noreferrer noopener">Paper</a></strong>. All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on <strong><a href="https://twitter.com/Marktechpost">Twitter</a></strong> and join our <strong><a href="https://pxl.to/at72b5j" target="_blank" rel="noreferrer noopener">Telegram Channel</a></strong> and <a href="https://www.linkedin.com/groups/13668564/"><strong>LinkedIn Gr</strong></a><a href="https://www.linkedin.com/groups/13668564/" target="_blank" rel="noreferrer noopener"><strong>oup</strong></a>. <strong>If you like our work, you will love our</strong><a href="https://marktechpost-newsletter.beehiiv.com/subscribe" target="_blank" rel="noreferrer noopener"><strong> newsletter..</strong></a></p> <p>Don’t Forget to join our&nbsp;<strong><a href="https://www.reddit.com/r/machinelearningnews/" target="_blank" rel="noreferrer noopener">50k+ ML SubReddit</a></strong></p> <p><strong><a href="https://encord.com/webinar/sam2-for-video/?utm_medium=affiliate&amp;utm_source=newsletter&amp;utm_campaign=marktechpost&amp;utm_content=sam2video" target="_blank" rel="noreferrer noopener">⏩ ⏩ FREE AI WEBINAR: ‘SAM 2 for Video: How to Fine-tune On Your Data’ (Wed, Sep 25, 4:00 AM – 4:45 AM EST)</a></strong></p> <!-- MOLONGUI AUTHORSHIP PLUGIN 5.0.12 --> <!-- https://www.molongui.com/wordpress-plugin-post-authors --> <div class="molongui-clearfix"></div><div class="m-a-box " data-box-layout="slim" data-box-position="below" data-multiauthor="false" data-author-id="560" data-author-type="user" data-author-archived=""><div class="m-a-box-container"><div class="m-a-box-tab m-a-box-content m-a-box-profile" data-profile-layout="layout-1" data-author-ref="user-560" itemscope itemid="https://www.marktechpost.com/author/nikhil0980/" itemtype="https://schema.org/Person"><div class="m-a-box-content-top"></div><div class="m-a-box-content-middle"><div class="m-a-box-item m-a-box-avatar" data-source="local"><a class="m-a-box-avatar-url" href="https://www.marktechpost.com/author/nikhil0980/"><img decoding="async" width="150" height="150" src="https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-150x150.jpg" class="avatar avatar-150 photo" alt="" srcset="https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-150x150.jpg 150w, https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-80x80.jpg 80w, https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-70x70.jpg 70w, https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-24x24.jpg 24w, https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-48x48.jpg 48w, https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-96x96.jpg 96w, https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-300x300.jpg 300w" sizes="(max-width: 150px) 100vw, 150px" data-attachment-id="50043" data-permalink="https://www.marktechpost.com/bio_picture-nikhil/" data-orig-file="https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-scaled.jpg" data-orig-size="1920,2560" data-comments-opened="1" data-image-meta="{&quot;aperture&quot;:&quot;1.8&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;Galaxy M34 5G&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;1691352115&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;4&quot;,&quot;iso&quot;:&quot;500&quot;,&quot;shutter_speed&quot;:&quot;0.02&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;1&quot;}" data-image-title="Bio_picture &#8211; Nikhil" data-image-description="" data-image-caption="" data-medium-file="https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-225x300.jpg" data-large-file="https://www.marktechpost.com/wp-content/uploads/2024/01/Bio_picture-Nikhil-768x1024.jpg"/></a></div><div class="m-a-box-item m-a-box-data"><div class="m-a-box-name m-a-box-title"><h5 itemprop="name"><a class="m-a-box-name-url " href="https://www.marktechpost.com/author/nikhil0980/" itemprop="url"> Nikhil</a></h5></div><div class="m-a-box-item m-a-box-meta"><a href="#" class="m-a-box-data-toggle" rel="nofollow"><span class="m-a-box-string-more-posts">+ posts</span><span class="m-a-box-string-bio" style="display:none">Bio</span></a></div><div class="m-a-box-bio" itemprop="description"><p>Nikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.</p></div><div class="m-a-box-related" data-related-layout="layout-1"><div class="m-a-box-item m-a-box-related-entries" style="display:none;"><ul><li><div class="m-a-box-related-entry" itemscope itemtype="http://schema.org/CreativeWork"><div class="molongui-display-none" itemprop="author" itemscope itemtype="http://schema.org/Person"><div itemprop="name">Nikhil</div><div itemprop="url">https://www.marktechpost.com/author/nikhil0980/</div></div><div class="m-a-box-related-entry-title"><i class="m-a-icon-doc"></i><a class="molongui-remove-underline" href="https://www.marktechpost.com/2025/02/16/this-ai-paper-from-ibm-and-mit-introduces-solomon-a-neuro-inspired-reasoning-network-for-enhancing-llm-adaptability-in-semiconductor-layout-design/" itemprop="url"><span itemprop="headline">This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for 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href="https://www.marktechpost.com/2025/02/16/a-step-by-step-guide-to-setting-up-a-custom-bpe-tokenizer-with-tiktoken-for-advanced-nlp-applications-in-python/" rel="bookmark" class="td-image-wrap " title="A Step-by-Step Guide to Setting Up a Custom BPE Tokenizer with Tiktoken for Advanced NLP Applications in Python" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="A Step-by-Step Guide to Setting Up a Custom BPE Tokenizer with Tiktoken for Advanced NLP Applications in Python" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/Screenshot-2025-02-16-at-10.17.33 PM-218x150.png" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/16/a-step-by-step-guide-to-setting-up-a-custom-bpe-tokenizer-with-tiktoken-for-advanced-nlp-applications-in-python/" rel="bookmark" title="A Step-by-Step Guide to Setting Up a Custom BPE Tokenizer with Tiktoken for Advanced NLP Applications in Python">A Step-by-Step Guide to Setting Up a Custom BPE Tokenizer with Tiktoken for Advanced...</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/6flvq/">Asif Razzaq</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-16T22:19:34-08:00" >February 16, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/16/a-step-by-step-guide-to-setting-up-a-custom-bpe-tokenizer-with-tiktoken-for-advanced-nlp-applications-in-python/#respond">0</a></span> </div> <div class="td-excerpt"> In this tutorial, we&#039;ll learn how to create a custom tokenizer using the tiktoken library. The process involves loading a pre-trained tokenizer model, defining... </div> </div> </div> </div> <!-- ./td-block-span12 --> <div class="td-block-span12"> <div class="td_module_10 td_module_wrap td-animation-stack"> <div class="td-module-thumb"><a href="https://www.marktechpost.com/2025/02/16/enhancing-reasoning-capabilities-in-low-resource-language-models-through-efficient-model-merging/" rel="bookmark" class="td-image-wrap " title="Enhancing Reasoning Capabilities in Low-Resource Language Models through Efficient Model Merging" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="Enhancing Reasoning Capabilities in Low-Resource Language Models through Efficient Model Merging" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/Screenshot-2025-02-16-at-9.55.45 PM-218x150.png" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/16/enhancing-reasoning-capabilities-in-low-resource-language-models-through-efficient-model-merging/" rel="bookmark" title="Enhancing Reasoning Capabilities in Low-Resource Language Models through Efficient Model Merging">Enhancing Reasoning Capabilities in Low-Resource Language Models through Efficient Model Merging</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/sajjadansari/">Sajjad Ansari</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-16T21:57:00-08:00" >February 16, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/16/enhancing-reasoning-capabilities-in-low-resource-language-models-through-efficient-model-merging/#respond">0</a></span> </div> <div class="td-excerpt"> Large Language Models (LLMs) have shown exceptional capabilities in complex reasoning tasks through recent advancements in scaling and specialized training approaches. While models like... </div> </div> </div> </div> <!-- ./td-block-span12 --> <div class="td-block-span12"> <div class="td_module_10 td_module_wrap td-animation-stack"> <div class="td-module-thumb"><a href="https://www.marktechpost.com/2025/02/16/higher-order-guided-diffusion-for-graph-generation-a-coarse-to-fine-approach-to-preserving-topological-structures/" rel="bookmark" class="td-image-wrap " title="Higher-Order Guided Diffusion for Graph Generation: A Coarse-to-Fine Approach to Preserving Topological Structures" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="Higher-Order Guided Diffusion for Graph Generation: A Coarse-to-Fine Approach to Preserving Topological Structures" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/Screenshot-2025-02-16-at-9.52.58 PM-218x150.png" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/16/higher-order-guided-diffusion-for-graph-generation-a-coarse-to-fine-approach-to-preserving-topological-structures/" rel="bookmark" title="Higher-Order Guided Diffusion for Graph Generation: A Coarse-to-Fine Approach to Preserving Topological Structures">Higher-Order Guided Diffusion for Graph Generation: A Coarse-to-Fine Approach to Preserving Topological Structures</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/aswinak/">Aswin Ak</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-16T21:54:13-08:00" >February 16, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/16/higher-order-guided-diffusion-for-graph-generation-a-coarse-to-fine-approach-to-preserving-topological-structures/#respond">0</a></span> </div> <div class="td-excerpt"> Graph generation is a complex problem that involves constructing structured, non-Euclidean representations while maintaining meaningful relationships between entities.&nbsp; Most current methods fail to capture... </div> </div> </div> </div> <!-- ./td-block-span12 --> <div class="td-block-span12"> <div class="td_module_10 td_module_wrap td-animation-stack"> <div class="td-module-thumb"><a href="https://www.marktechpost.com/2025/02/16/lg-ai-research-releases-nexus-an-advanced-system-integrating-agent-ai-system-and-data-compliance-standards-to-address-legal-concerns-in-ai-datasets/" rel="bookmark" class="td-image-wrap " title="LG AI Research Releases NEXUS: An Advanced System Integrating Agent AI System and Data Compliance Standards to Address Legal Concerns in AI Datasets" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="LG AI Research Releases NEXUS: An Advanced System Integrating Agent AI System and Data Compliance Standards to Address Legal Concerns in AI Datasets" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/Screenshot-2025-02-16-at-7.50.06 PM-218x150.png" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/16/lg-ai-research-releases-nexus-an-advanced-system-integrating-agent-ai-system-and-data-compliance-standards-to-address-legal-concerns-in-ai-datasets/" rel="bookmark" title="LG AI Research Releases NEXUS: An Advanced System Integrating Agent AI System and Data Compliance Standards to Address Legal Concerns in AI Datasets">LG AI Research Releases NEXUS: An Advanced System Integrating Agent AI System and Data...</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/6flvq/">Asif Razzaq</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-16T19:50:29-08:00" >February 16, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/16/lg-ai-research-releases-nexus-an-advanced-system-integrating-agent-ai-system-and-data-compliance-standards-to-address-legal-concerns-in-ai-datasets/#respond">0</a></span> </div> <div class="td-excerpt"> After the advent of LLMs, AI Research has focused solely on the development of powerful models day by day. These cutting-edge new models improve... </div> </div> </div> </div> <!-- ./td-block-span12 --> <div class="td-block-span12"> <div class="td_module_10 td_module_wrap td-animation-stack"> <div class="td-module-thumb"><a href="https://www.marktechpost.com/2025/02/16/this-ai-paper-from-ibm-and-mit-introduces-solomon-a-neuro-inspired-reasoning-network-for-enhancing-llm-adaptability-in-semiconductor-layout-design/" rel="bookmark" class="td-image-wrap " title="This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for Enhancing LLM Adaptability in Semiconductor Layout Design" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for Enhancing LLM Adaptability in Semiconductor Layout Design" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/Screenshot-2025-02-16-at-12.21.42 PM-218x150.png" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/16/this-ai-paper-from-ibm-and-mit-introduces-solomon-a-neuro-inspired-reasoning-network-for-enhancing-llm-adaptability-in-semiconductor-layout-design/" rel="bookmark" title="This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for Enhancing LLM Adaptability in Semiconductor Layout Design">This AI Paper from IBM and MIT Introduces SOLOMON: A Neuro-Inspired Reasoning Network for...</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/nikhil0980/">Nikhil</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-16T12:23:53-08:00" >February 16, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/16/this-ai-paper-from-ibm-and-mit-introduces-solomon-a-neuro-inspired-reasoning-network-for-enhancing-llm-adaptability-in-semiconductor-layout-design/#respond">0</a></span> </div> <div class="td-excerpt"> Adapting large language models for specialized domains remains challenging, especially in fields requiring spatial reasoning and structured problem-solving, even though they specialize in complex... </div> </div> </div> </div> <!-- ./td-block-span12 --> <div class="td-block-span12"> <div class="td_module_10 td_module_wrap td-animation-stack"> <div class="td-module-thumb"><a href="https://www.marktechpost.com/2025/02/16/kaist-and-deepauto-ai-researchers-propose-infinitehip-a-game-changing-long-context-llm-framework-for-3m-token-inference-on-a-single-gpu/" rel="bookmark" class="td-image-wrap " title="KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/Screenshot-2025-02-16-at-11.43.08 AM-218x150.png" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/16/kaist-and-deepauto-ai-researchers-propose-infinitehip-a-game-changing-long-context-llm-framework-for-3m-token-inference-on-a-single-gpu/" rel="bookmark" title="KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token Inference on a Single GPU">KAIST and DeepAuto AI Researchers Propose InfiniteHiP: A Game-Changing Long-Context LLM Framework for 3M-Token...</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/6flvq/">Asif Razzaq</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-16T11:46:06-08:00" >February 16, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/16/kaist-and-deepauto-ai-researchers-propose-infinitehip-a-game-changing-long-context-llm-framework-for-3m-token-inference-on-a-single-gpu/#respond">0</a></span> </div> <div class="td-excerpt"> In large language models (LLMs), processing extended input sequences demands significant computational and memory resources, leading to slower inference and higher hardware costs. The... </div> </div> </div> </div> <!-- ./td-block-span12 --> <div class="td-block-span12"> <div class="td_module_10 td_module_wrap td-animation-stack"> <div class="td-module-thumb"><a href="https://www.marktechpost.com/2025/02/15/nous-research-released-deephermes-3-preview-a-llama-3-8b-based-model-combining-deep-reasoning-advanced-function-calling-and-seamless-conversational-intelligence/" rel="bookmark" class="td-image-wrap " title="Nous Research Released DeepHermes 3 Preview: A Llama-3-8B Based Model Combining Deep Reasoning, Advanced Function Calling, and Seamless Conversational Intelligence" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="Nous Research Released DeepHermes 3 Preview: A Llama-3-8B Based Model Combining Deep Reasoning, Advanced Function Calling, and Seamless Conversational Intelligence" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/9fxlaDxteqe3SasZ7_06_-218x150.jpeg" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/15/nous-research-released-deephermes-3-preview-a-llama-3-8b-based-model-combining-deep-reasoning-advanced-function-calling-and-seamless-conversational-intelligence/" rel="bookmark" title="Nous Research Released DeepHermes 3 Preview: A Llama-3-8B Based Model Combining Deep Reasoning, Advanced Function Calling, and Seamless Conversational Intelligence">Nous Research Released DeepHermes 3 Preview: A Llama-3-8B Based Model Combining Deep Reasoning, Advanced...</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/sana-hassan/">Sana Hassan</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-15T23:11:15-08:00" >February 15, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/15/nous-research-released-deephermes-3-preview-a-llama-3-8b-based-model-combining-deep-reasoning-advanced-function-calling-and-seamless-conversational-intelligence/#respond">0</a></span> </div> <div class="td-excerpt"> AI has witnessed rapid advancements in NLP in recent years, yet many existing models still struggle to balance intuitive responses with deep, structured reasoning.... </div> </div> </div> </div> <!-- ./td-block-span12 --> <div class="td-block-span12"> <div class="td_module_10 td_module_wrap td-animation-stack"> <div class="td-module-thumb"><a href="https://www.marktechpost.com/2025/02/15/how-ai-chatbots-mimic-human-behavior-insights-from-multi-turn-evaluations-of-llms/" rel="bookmark" class="td-image-wrap " title="How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/Screenshot-2025-02-15-at-10.15.50 PM-218x150.png" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/15/how-ai-chatbots-mimic-human-behavior-insights-from-multi-turn-evaluations-of-llms/" rel="bookmark" title="How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs">How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/divyesh-jawkhede/">Divyesh Vitthal Jawkhede</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-15T22:17:57-08:00" >February 15, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/15/how-ai-chatbots-mimic-human-behavior-insights-from-multi-turn-evaluations-of-llms/#respond">0</a></span> </div> <div class="td-excerpt"> AI chatbots create the illusion of having emotions, morals, or consciousness by generating natural conversations that seem human-like. Many users engage with AI for... </div> </div> </div> </div> <!-- ./td-block-span12 --> <div class="td-block-span12"> <div class="td_module_10 td_module_wrap td-animation-stack"> <div class="td-module-thumb"><a href="https://www.marktechpost.com/2025/02/15/this-ai-paper-from-apple-introduces-a-distillation-scaling-law-a-compute-optimal-approach-for-training-efficient-language-models/" rel="bookmark" class="td-image-wrap " title="This AI Paper from Apple Introduces a Distillation Scaling Law: A Compute-Optimal Approach for Training Efficient Language Models" ><img class="entry-thumb" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANoAAACWAQMAAACCSQSPAAAAA1BMVEWurq51dlI4AAAAAXRSTlMmkutdmwAAABpJREFUWMPtwQENAAAAwiD7p7bHBwwAAAAg7RD+AAGXD7BoAAAAAElFTkSuQmCC" alt="" title="This AI Paper from Apple Introduces a Distillation Scaling Law: A Compute-Optimal Approach for Training Efficient Language Models" data-type="image_tag" data-img-url="https://www.marktechpost.com/wp-content/uploads/2025/02/Screenshot-2025-02-15-at-9.54.02 PM-218x150.png" width="218" height="150" /></a></div> <div class="item-details"> <h3 class="entry-title td-module-title"><a href="https://www.marktechpost.com/2025/02/15/this-ai-paper-from-apple-introduces-a-distillation-scaling-law-a-compute-optimal-approach-for-training-efficient-language-models/" rel="bookmark" title="This AI Paper from Apple Introduces a Distillation Scaling Law: A Compute-Optimal Approach for Training Efficient Language Models">This AI Paper from Apple Introduces a Distillation Scaling Law: A Compute-Optimal Approach for...</a></h3> <div class="td-module-meta-info"> <span class="td-post-author-name"><a href="https://www.marktechpost.com/author/nikhil0980/">Nikhil</a> <span>-</span> </span> <span class="td-post-date"><time class="entry-date updated td-module-date" datetime="2025-02-15T21:55:17-08:00" >February 15, 2025</time></span> <span class="td-module-comments"><a href="https://www.marktechpost.com/2025/02/15/this-ai-paper-from-apple-introduces-a-distillation-scaling-law-a-compute-optimal-approach-for-training-efficient-language-models/#respond">0</a></span> </div> <div class="td-excerpt"> Language models have become increasingly expensive to train and deploy. 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T-I9105|GT-I8510|GT-S6790N|SM-G7105|SM-N9005|GT-S5301|GT-I9295|GT-I9195|SM-C101|GT-S7392|GT-S7560|GT-B7610|GT-I5510|GT-S7582|GT-S7530E|GT-I8750|SM-G9006V|SM-G9008V|SM-G9009D|SM-G900A|SM-G900D|SM-G900F|SM-G900H|SM-G900I|SM-G900J|SM-G900K|SM-G900L|SM-G900M|SM-G900P|SM-G900R4|SM-G900S|SM-G900T|SM-G900V|SM-G900W8|SHV-E160K|SCH-P709|SCH-P729|SM-T2558|GT-I9205|SM-G9350|SM-J120F|SM-G920F|SM-G920V|SM-G930F|SM-N910C|SM-A310F|GT-I9190|SM-J500FN|SM-G903F|SM-J330F|SM-G610F|SM-G981B|SM-G892A|SM-A530F",LG:"\\bLG\\b;|LG[- ]?(C800|C900|E400|E610|E900|E-900|F160|F180K|F180L|F180S|730|855|L160|LS740|LS840|LS970|LU6200|MS690|MS695|MS770|MS840|MS870|MS910|P500|P700|P705|VM696|AS680|AS695|AX840|C729|E970|GS505|272|C395|E739BK|E960|L55C|L75C|LS696|LS860|P769BK|P350|P500|P509|P870|UN272|US730|VS840|VS950|LN272|LN510|LS670|LS855|LW690|MN270|MN510|P509|P769|P930|UN200|UN270|UN510|UN610|US670|US740|US760|UX265|UX840|VN271|VN530|VS660|VS700|VS740|VS750|VS910|VS920|VS930|VX9200|VX11000|AX840A|LW770|P506|P925|P999|E612|D955|D802|MS323|M257)|LM-G710",Sony:"SonyST|SonyLT|SonyEricsson|SonyEricssonLT15iv|LT18i|E10i|LT28h|LT26w|SonyEricssonMT27i|C5303|C6902|C6903|C6906|C6943|D2533|SOV34|601SO|F8332",Asus:"Asus.*Galaxy|PadFone.*Mobile",Xiaomi:"^(?!.*\\bx11\\b).*xiaomi.*$|POCOPHONE F1|MI 8|Redmi Note 9S|Redmi Note 5A Prime|N2G47H|M2001J2G|M2001J2I|M1805E10A|M2004J11G|M1902F1G|M2002J9G|M2004J19G|M2003J6A1G",NokiaLumia:"Lumia [0-9]{3,4}",Micromax:"Micromax.*\\b(A210|A92|A88|A72|A111|A110Q|A115|A116|A110|A90S|A26|A51|A35|A54|A25|A27|A89|A68|A65|A57|A90)\\b",Palm:"PalmSource|Palm",Vertu:"Vertu|Vertu.*Ltd|Vertu.*Ascent|Vertu.*Ayxta|Vertu.*Constellation(F|Quest)?|Vertu.*Monika|Vertu.*Signature",Pantech:"PANTECH|IM-A850S|IM-A840S|IM-A830L|IM-A830K|IM-A830S|IM-A820L|IM-A810K|IM-A810S|IM-A800S|IM-T100K|IM-A725L|IM-A780L|IM-A775C|IM-A770K|IM-A760S|IM-A750K|IM-A740S|IM-A730S|IM-A720L|IM-A710K|IM-A690L|IM-A690S|IM-A650S|IM-A630K|IM-A600S|VEGA PTL21|PT003|P8010|ADR910L|P6030|P6020|P9070|P4100|P9060|P5000|CDM8992|TXT8045|ADR8995|IS11PT|P2030|P6010|P8000|PT002|IS06|CDM8999|P9050|PT001|TXT8040|P2020|P9020|P2000|P7040|P7000|C790",Fly:"IQ230|IQ444|IQ450|IQ440|IQ442|IQ441|IQ245|IQ256|IQ236|IQ255|IQ235|IQ245|IQ275|IQ240|IQ285|IQ280|IQ270|IQ260|IQ250",Wiko:"KITE 4G|HIGHWAY|GETAWAY|STAIRWAY|DARKSIDE|DARKFULL|DARKNIGHT|DARKMOON|SLIDE|WAX 4G|RAINBOW|BLOOM|SUNSET|GOA(?!nna)|LENNY|BARRY|IGGY|OZZY|CINK FIVE|CINK PEAX|CINK PEAX 2|CINK SLIM|CINK SLIM 2|CINK +|CINK KING|CINK PEAX|CINK SLIM|SUBLIM",iMobile:"i-mobile (IQ|i-STYLE|idea|ZAA|Hitz)",SimValley:"\\b(SP-80|XT-930|SX-340|XT-930|SX-310|SP-360|SP60|SPT-800|SP-120|SPT-800|SP-140|SPX-5|SPX-8|SP-100|SPX-8|SPX-12)\\b",Wolfgang:"AT-B24D|AT-AS50HD|AT-AS40W|AT-AS55HD|AT-AS45q2|AT-B26D|AT-AS50Q",Alcatel:"Alcatel",Nintendo:"Nintendo (3DS|Switch)",Amoi:"Amoi",INQ:"INQ",OnePlus:"ONEPLUS",GenericPhone:"Tapatalk|PDA;|SAGEM|\\bmmp\\b|pocket|\\bpsp\\b|symbian|Smartphone|smartfon|treo|up.browser|up.link|vodafone|\\bwap\\b|nokia|Series40|Series60|S60|SonyEricsson|N900|MAUI.*WAP.*Browser"},tablets:{iPad:"iPad|iPad.*Mobile",NexusTablet:"Android.*Nexus[\\s]+(7|9|10)",GoogleTablet:"Android.*Pixel C",SamsungTablet:"SAMSUNG.*Tablet|Galaxy.*Tab|SC-01C|GT-P1000|GT-P1003|GT-P1010|GT-P3105|GT-P6210|GT-P6800|GT-P6810|GT-P7100|GT-P7300|GT-P7310|GT-P7500|GT-P7510|SCH-I800|SCH-I815|SCH-I905|SGH-I957|SGH-I987|SGH-T849|SGH-T859|SGH-T869|SPH-P100|GT-P3100|GT-P3108|GT-P3110|GT-P5100|GT-P5110|GT-P6200|GT-P7320|GT-P7511|GT-N8000|GT-P8510|SGH-I497|SPH-P500|SGH-T779|SCH-I705|SCH-I915|GT-N8013|GT-P3113|GT-P5113|GT-P8110|GT-N8010|GT-N8005|GT-N8020|GT-P1013|GT-P6201|GT-P7501|GT-N5100|GT-N5105|GT-N5110|SHV-E140K|SHV-E140L|SHV-E140S|SHV-E150S|SHV-E230K|SHV-E230L|SHV-E230S|SHW-M180K|SHW-M180L|SHW-M180S|SHW-M180W|SHW-M300W|SHW-M305W|SHW-M380K|SHW-M380S|SHW-M380W|SHW-M430W|SHW-M480K|SHW-M480S|SHW-M480W|SHW-M485W|SHW-M486W|SHW-M500W|GT-I9228|SCH-P739|SCH-I925|GT-I9200|GT-P5200|GT-P5210|GT-P5210X|SM-T311|SM-T310|SM-T310X|SM-T210|SM-T210R|SM-T211|SM-P600|SM-P601|SM-P605|SM-P900|SM-P901|SM-T217|SM-T217A|SM-T217S|SM-P6000|SM-T3100|SGH-I467|XE500|SM-T110|GT-P5220|GT-I9200X|GT-N5110X|GT-N5120|SM-P905|SM-T111|SM-T2105|SM-T315|SM-T320|SM-T320X|SM-T321|SM-T520|SM-T525|SM-T530NU|SM-T230NU|SM-T330NU|SM-T900|XE500T1C|SM-P605V|SM-P905V|SM-T337V|SM-T537V|SM-T707V|SM-T807V|SM-P600X|SM-P900X|SM-T210X|SM-T230|SM-T230X|SM-T325|GT-P7503|SM-T531|SM-T330|SM-T530|SM-T705|SM-T705C|SM-T535|SM-T331|SM-T800|SM-T700|SM-T537|SM-T807|SM-P907A|SM-T337A|SM-T537A|SM-T707A|SM-T807A|SM-T237|SM-T807P|SM-P607T|SM-T217T|SM-T337T|SM-T807T|SM-T116NQ|SM-T116BU|SM-P550|SM-T350|SM-T550|SM-T9000|SM-P9000|SM-T705Y|SM-T805|GT-P3113|SM-T710|SM-T810|SM-T815|SM-T360|SM-T533|SM-T113|SM-T335|SM-T715|SM-T560|SM-T670|SM-T677|SM-T377|SM-T567|SM-T357T|SM-T555|SM-T561|SM-T713|SM-T719|SM-T813|SM-T819|SM-T580|SM-T355Y?|SM-T280|SM-T817A|SM-T820|SM-W700|SM-P580|SM-T587|SM-P350|SM-P555M|SM-P355M|SM-T113NU|SM-T815Y|SM-T585|SM-T285|SM-T825|SM-W708|SM-T835|SM-T830|SM-T837V|SM-T720|SM-T510|SM-T387V|SM-P610|SM-T290|SM-T515|SM-T590|SM-T595|SM-T725|SM-T817P|SM-P585N0|SM-T395|SM-T295|SM-T865|SM-P610N|SM-P615|SM-T970|SM-T380|SM-T5950|SM-T905|SM-T231|SM-T500|SM-T860",Kindle:"Kindle|Silk.*Accelerated|Android.*\\b(KFOT|KFTT|KFJWI|KFJWA|KFOTE|KFSOWI|KFTHWI|KFTHWA|KFAPWI|KFAPWA|WFJWAE|KFSAWA|KFSAWI|KFASWI|KFARWI|KFFOWI|KFGIWI|KFMEWI)\\b|Android.*Silk/[0-9.]+ like Chrome/[0-9.]+ (?!Mobile)",SurfaceTablet:"Windows NT [0-9.]+; ARM;.*(Tablet|ARMBJS)",HPTablet:"HP Slate (7|8|10)|HP ElitePad 900|hp-tablet|EliteBook.*Touch|HP 8|Slate 21|HP SlateBook 10",AsusTablet:"^.*PadFone((?!Mobile).)*$|Transformer|TF101|TF101G|TF300T|TF300TG|TF300TL|TF700T|TF700KL|TF701T|TF810C|ME171|ME301T|ME302C|ME371MG|ME370T|ME372MG|ME172V|ME173X|ME400C|Slider SL101|\\bK00F\\b|\\bK00C\\b|\\bK00E\\b|\\bK00L\\b|TX201LA|ME176C|ME102A|\\bM80TA\\b|ME372CL|ME560CG|ME372CG|ME302KL| K010 | K011 | K017 | K01E |ME572C|ME103K|ME170C|ME171C|\\bME70C\\b|ME581C|ME581CL|ME8510C|ME181C|P01Y|PO1MA|P01Z|\\bP027\\b|\\bP024\\b|\\bP00C\\b",BlackBerryTablet:"PlayBook|RIM Tablet",HTCtablet:"HTC_Flyer_P512|HTC Flyer|HTC Jetstream|HTC-P715a|HTC EVO View 4G|PG41200|PG09410",MotorolaTablet:"xoom|sholest|MZ615|MZ605|MZ505|MZ601|MZ602|MZ603|MZ604|MZ606|MZ607|MZ608|MZ609|MZ615|MZ616|MZ617",NookTablet:"Android.*Nook|NookColor|nook browser|BNRV200|BNRV200A|BNTV250|BNTV250A|BNTV400|BNTV600|LogicPD Zoom2",AcerTablet:"Android.*; \\b(A100|A101|A110|A200|A210|A211|A500|A501|A510|A511|A700|A701|W500|W500P|W501|W501P|W510|W511|W700|G100|G100W|B1-A71|B1-710|B1-711|A1-810|A1-811|A1-830)\\b|W3-810|\\bA3-A10\\b|\\bA3-A11\\b|\\bA3-A20\\b|\\bA3-A30|A3-A40",ToshibaTablet:"Android.*(AT100|AT105|AT200|AT205|AT270|AT275|AT300|AT305|AT1S5|AT500|AT570|AT700|AT830)|TOSHIBA.*FOLIO",LGTablet:"\\bL-06C|LG-V909|LG-V900|LG-V700|LG-V510|LG-V500|LG-V410|LG-V400|LG-VK810\\b",FujitsuTablet:"Android.*\\b(F-01D|F-02F|F-05E|F-10D|M532|Q572)\\b",PrestigioTablet:"PMP3170B|PMP3270B|PMP3470B|PMP7170B|PMP3370B|PMP3570C|PMP5870C|PMP3670B|PMP5570C|PMP5770D|PMP3970B|PMP3870C|PMP5580C|PMP5880D|PMP5780D|PMP5588C|PMP7280C|PMP7280C3G|PMP7280|PMP7880D|PMP5597D|PMP5597|PMP7100D|PER3464|PER3274|PER3574|PER3884|PER5274|PER5474|PMP5097CPRO|PMP5097|PMP7380D|PMP5297C|PMP5297C_QUAD|PMP812E|PMP812E3G|PMP812F|PMP810E|PMP880TD|PMT3017|PMT3037|PMT3047|PMT3057|PMT7008|PMT5887|PMT5001|PMT5002",LenovoTablet:"Lenovo TAB|Idea(Tab|Pad)( A1|A10| K1|)|ThinkPad([ ]+)?Tablet|YT3-850M|YT3-X90L|YT3-X90F|YT3-X90X|Lenovo.*(S2109|S2110|S5000|S6000|K3011|A3000|A3500|A1000|A2107|A2109|A1107|A5500|A7600|B6000|B8000|B8080)(-|)(FL|F|HV|H|)|TB-X103F|TB-X304X|TB-X304F|TB-X304L|TB-X505F|TB-X505L|TB-X505X|TB-X605F|TB-X605L|TB-8703F|TB-8703X|TB-8703N|TB-8704N|TB-8704F|TB-8704X|TB-8704V|TB-7304F|TB-7304I|TB-7304X|Tab2A7-10F|Tab2A7-20F|TB2-X30L|YT3-X50L|YT3-X50F|YT3-X50M|YT-X705F|YT-X703F|YT-X703L|YT-X705L|YT-X705X|TB2-X30F|TB2-X30L|TB2-X30M|A2107A-F|A2107A-H|TB3-730F|TB3-730M|TB3-730X|TB-7504F|TB-7504X|TB-X704F|TB-X104F|TB3-X70F|TB-X705F|TB-8504F|TB3-X70L|TB3-710F|TB-X704L",DellTablet:"Venue 11|Venue 8|Venue 7|Dell Streak 10|Dell Streak 7",YarvikTablet:"Android.*\\b(TAB210|TAB211|TAB224|TAB250|TAB260|TAB264|TAB310|TAB360|TAB364|TAB410|TAB411|TAB420|TAB424|TAB450|TAB460|TAB461|TAB464|TAB465|TAB467|TAB468|TAB07-100|TAB07-101|TAB07-150|TAB07-151|TAB07-152|TAB07-200|TAB07-201-3G|TAB07-210|TAB07-211|TAB07-212|TAB07-214|TAB07-220|TAB07-400|TAB07-485|TAB08-150|TAB08-200|TAB08-201-3G|TAB08-201-30|TAB09-100|TAB09-211|TAB09-410|TAB10-150|TAB10-201|TAB10-211|TAB10-400|TAB10-410|TAB13-201|TAB274EUK|TAB275EUK|TAB374EUK|TAB462EUK|TAB474EUK|TAB9-200)\\b",MedionTablet:"Android.*\\bOYO\\b|LIFE.*(P9212|P9514|P9516|S9512)|LIFETAB",ArnovaTablet:"97G4|AN10G2|AN7bG3|AN7fG3|AN8G3|AN8cG3|AN7G3|AN9G3|AN7dG3|AN7dG3ST|AN7dG3ChildPad|AN10bG3|AN10bG3DT|AN9G2",IntensoTablet:"INM8002KP|INM1010FP|INM805ND|Intenso Tab|TAB1004",IRUTablet:"M702pro",MegafonTablet:"MegaFon V9|\\bZTE V9\\b|Android.*\\bMT7A\\b",EbodaTablet:"E-Boda (Supreme|Impresspeed|Izzycomm|Essential)",AllViewTablet:"Allview.*(Viva|Alldro|City|Speed|All TV|Frenzy|Quasar|Shine|TX1|AX1|AX2)",ArchosTablet:"\\b(101G9|80G9|A101IT)\\b|Qilive 97R|Archos5|\\bARCHOS (70|79|80|90|97|101|FAMILYPAD|)(b|c|)(G10| Cobalt| TITANIUM(HD|)| Xenon| Neon|XSK| 2| XS 2| PLATINUM| CARBON|GAMEPAD)\\b",AinolTablet:"NOVO7|NOVO8|NOVO10|Novo7Aurora|Novo7Basic|NOVO7PALADIN|novo9-Spark",NokiaLumiaTablet:"Lumia 2520",SonyTablet:"Sony.*Tablet|Xperia Tablet|Sony Tablet S|SO-03E|SGPT12|SGPT13|SGPT114|SGPT121|SGPT122|SGPT123|SGPT111|SGPT112|SGPT113|SGPT131|SGPT132|SGPT133|SGPT211|SGPT212|SGPT213|SGP311|SGP312|SGP321|EBRD1101|EBRD1102|EBRD1201|SGP351|SGP341|SGP511|SGP512|SGP521|SGP541|SGP551|SGP621|SGP641|SGP612|SOT31|SGP771|SGP611|SGP612|SGP712",PhilipsTablet:"\\b(PI2010|PI3000|PI3100|PI3105|PI3110|PI3205|PI3210|PI3900|PI4010|PI7000|PI7100)\\b",CubeTablet:"Android.*(K8GT|U9GT|U10GT|U16GT|U17GT|U18GT|U19GT|U20GT|U23GT|U30GT)|CUBE U8GT",CobyTablet:"MID1042|MID1045|MID1125|MID1126|MID7012|MID7014|MID7015|MID7034|MID7035|MID7036|MID7042|MID7048|MID7127|MID8042|MID8048|MID8127|MID9042|MID9740|MID9742|MID7022|MID7010",MIDTablet:"M9701|M9000|M9100|M806|M1052|M806|T703|MID701|MID713|MID710|MID727|MID760|MID830|MID728|MID933|MID125|MID810|MID732|MID120|MID930|MID800|MID731|MID900|MID100|MID820|MID735|MID980|MID130|MID833|MID737|MID960|MID135|MID860|MID736|MID140|MID930|MID835|MID733|MID4X10",MSITablet:"MSI \\b(Primo 73K|Primo 73L|Primo 81L|Primo 77|Primo 93|Primo 75|Primo 76|Primo 73|Primo 81|Primo 91|Primo 90|Enjoy 71|Enjoy 7|Enjoy 10)\\b",SMiTTablet:"Android.*(\\bMID\\b|MID-560|MTV-T1200|MTV-PND531|MTV-P1101|MTV-PND530)",RockChipTablet:"Android.*(RK2818|RK2808A|RK2918|RK3066)|RK2738|RK2808A",FlyTablet:"IQ310|Fly Vision",bqTablet:"Android.*(bq)?.*\\b(Elcano|Curie|Edison|Maxwell|Kepler|Pascal|Tesla|Hypatia|Platon|Newton|Livingstone|Cervantes|Avant|Aquaris ([E|M]10|M8))\\b|Maxwell.*Lite|Maxwell.*Plus",HuaweiTablet:"MediaPad|MediaPad 7 Youth|IDEOS S7|S7-201c|S7-202u|S7-101|S7-103|S7-104|S7-105|S7-106|S7-201|S7-Slim|M2-A01L|BAH-L09|BAH-W09|AGS-L09|CMR-AL19",NecTablet:"\\bN-06D|\\bN-08D",PantechTablet:"Pantech.*P4100",BronchoTablet:"Broncho.*(N701|N708|N802|a710)",VersusTablet:"TOUCHPAD.*[78910]|\\bTOUCHTAB\\b",ZyncTablet:"z1000|Z99 2G|z930|z990|z909|Z919|z900",PositivoTablet:"TB07STA|TB10STA|TB07FTA|TB10FTA",NabiTablet:"Android.*\\bNabi",KoboTablet:"Kobo Touch|\\bK080\\b|\\bVox\\b Build|\\bArc\\b Build",DanewTablet:"DSlide.*\\b(700|701R|702|703R|704|802|970|971|972|973|974|1010|1012)\\b",TexetTablet:"NaviPad|TB-772A|TM-7045|TM-7055|TM-9750|TM-7016|TM-7024|TM-7026|TM-7041|TM-7043|TM-7047|TM-8041|TM-9741|TM-9747|TM-9748|TM-9751|TM-7022|TM-7021|TM-7020|TM-7011|TM-7010|TM-7023|TM-7025|TM-7037W|TM-7038W|TM-7027W|TM-9720|TM-9725|TM-9737W|TM-1020|TM-9738W|TM-9740|TM-9743W|TB-807A|TB-771A|TB-727A|TB-725A|TB-719A|TB-823A|TB-805A|TB-723A|TB-715A|TB-707A|TB-705A|TB-709A|TB-711A|TB-890HD|TB-880HD|TB-790HD|TB-780HD|TB-770HD|TB-721HD|TB-710HD|TB-434HD|TB-860HD|TB-840HD|TB-760HD|TB-750HD|TB-740HD|TB-730HD|TB-722HD|TB-720HD|TB-700HD|TB-500HD|TB-470HD|TB-431HD|TB-430HD|TB-506|TB-504|TB-446|TB-436|TB-416|TB-146SE|TB-126SE",PlaystationTablet:"Playstation.*(Portable|Vita)",TrekstorTablet:"ST10416-1|VT10416-1|ST70408-1|ST702xx-1|ST702xx-2|ST80208|ST97216|ST70104-2|VT10416-2|ST10216-2A|SurfTab",PyleAudioTablet:"\\b(PTBL10CEU|PTBL10C|PTBL72BC|PTBL72BCEU|PTBL7CEU|PTBL7C|PTBL92BC|PTBL92BCEU|PTBL9CEU|PTBL9CUK|PTBL9C)\\b",AdvanTablet:"Android.* \\b(E3A|T3X|T5C|T5B|T3E|T3C|T3B|T1J|T1F|T2A|T1H|T1i|E1C|T1-E|T5-A|T4|E1-B|T2Ci|T1-B|T1-D|O1-A|E1-A|T1-A|T3A|T4i)\\b ",DanyTechTablet:"Genius Tab G3|Genius Tab S2|Genius Tab Q3|Genius Tab G4|Genius Tab Q4|Genius Tab G-II|Genius TAB GII|Genius TAB GIII|Genius Tab S1",GalapadTablet:"Android [0-9.]+; [a-z-]+; \\bG1\\b",MicromaxTablet:"Funbook|Micromax.*\\b(P250|P560|P360|P362|P600|P300|P350|P500|P275)\\b",KarbonnTablet:"Android.*\\b(A39|A37|A34|ST8|ST10|ST7|Smart Tab3|Smart Tab2)\\b",AllFineTablet:"Fine7 Genius|Fine7 Shine|Fine7 Air|Fine8 Style|Fine9 More|Fine10 Joy|Fine11 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1027",HCLTablet:"HCL.*Tablet|Connect-3G-2.0|Connect-2G-2.0|ME Tablet U1|ME Tablet U2|ME Tablet G1|ME Tablet X1|ME Tablet Y2|ME Tablet Sync",DPSTablet:"DPS Dream 9|DPS Dual 7",VistureTablet:"V97 HD|i75 3G|Visture V4( HD)?|Visture V5( HD)?|Visture V10",CrestaTablet:"CTP(-)?810|CTP(-)?818|CTP(-)?828|CTP(-)?838|CTP(-)?888|CTP(-)?978|CTP(-)?980|CTP(-)?987|CTP(-)?988|CTP(-)?989",MediatekTablet:"\\bMT8125|MT8389|MT8135|MT8377\\b",ConcordeTablet:"Concorde([ ]+)?Tab|ConCorde ReadMan",GoCleverTablet:"GOCLEVER TAB|A7GOCLEVER|M1042|M7841|M742|R1042BK|R1041|TAB A975|TAB A7842|TAB A741|TAB A741L|TAB M723G|TAB M721|TAB A1021|TAB I921|TAB R721|TAB I720|TAB T76|TAB R70|TAB R76.2|TAB R106|TAB R83.2|TAB M813G|TAB I721|GCTA722|TAB I70|TAB I71|TAB S73|TAB R73|TAB R74|TAB R93|TAB R75|TAB R76.1|TAB A73|TAB A93|TAB A93.2|TAB T72|TAB R83|TAB R974|TAB R973|TAB A101|TAB A103|TAB A104|TAB A104.2|R105BK|M713G|A972BK|TAB A971|TAB R974.2|TAB R104|TAB R83.3|TAB A1042",ModecomTablet:"FreeTAB 9000|FreeTAB 7.4|FreeTAB 7004|FreeTAB 7800|FreeTAB 2096|FreeTAB 7.5|FreeTAB 1014|FreeTAB 1001 |FreeTAB 8001|FreeTAB 9706|FreeTAB 9702|FreeTAB 7003|FreeTAB 7002|FreeTAB 1002|FreeTAB 7801|FreeTAB 1331|FreeTAB 1004|FreeTAB 8002|FreeTAB 8014|FreeTAB 9704|FreeTAB 1003",VoninoTablet:"\\b(Argus[ _]?S|Diamond[ _]?79HD|Emerald[ _]?78E|Luna[ _]?70C|Onyx[ _]?S|Onyx[ _]?Z|Orin[ _]?HD|Orin[ _]?S|Otis[ _]?S|SpeedStar[ _]?S|Magnet[ _]?M9|Primus[ _]?94[ _]?3G|Primus[ _]?94HD|Primus[ _]?QS|Android.*\\bQ8\\b|Sirius[ _]?EVO[ _]?QS|Sirius[ _]?QS|Spirit[ _]?S)\\b",ECSTablet:"V07OT2|TM105A|S10OT1|TR10CS1",StorexTablet:"eZee[_']?(Tab|Go)[0-9]+|TabLC7|Looney Tunes Tab",VodafoneTablet:"SmartTab([ ]+)?[0-9]+|SmartTabII10|SmartTabII7|VF-1497|VFD 1400",EssentielBTablet:"Smart[ ']?TAB[ ]+?[0-9]+|Family[ ']?TAB2",RossMoorTablet:"RM-790|RM-997|RMD-878G|RMD-974R|RMT-705A|RMT-701|RME-601|RMT-501|RMT-711",iMobileTablet:"i-mobile i-note",TolinoTablet:"tolino tab [0-9.]+|tolino shine",AudioSonicTablet:"\\bC-22Q|T7-QC|T-17B|T-17P\\b",AMPETablet:"Android.* A78 ",SkkTablet:"Android.* (SKYPAD|PHOENIX|CYCLOPS)",TecnoTablet:"TECNO P9|TECNO DP8D",JXDTablet:"Android.* \\b(F3000|A3300|JXD5000|JXD3000|JXD2000|JXD300B|JXD300|S5800|S7800|S602b|S5110b|S7300|S5300|S602|S603|S5100|S5110|S601|S7100a|P3000F|P3000s|P101|P200s|P1000m|P200m|P9100|P1000s|S6600b|S908|P1000|P300|S18|S6600|S9100)\\b",iJoyTablet:"Tablet (Spirit 7|Essentia|Galatea|Fusion|Onix 7|Landa|Titan|Scooby|Deox|Stella|Themis|Argon|Unique 7|Sygnus|Hexen|Finity 7|Cream|Cream X2|Jade|Neon 7|Neron 7|Kandy|Scape|Saphyr 7|Rebel|Biox|Rebel|Rebel 8GB|Myst|Draco 7|Myst|Tab7-004|Myst|Tadeo Jones|Tablet Boing|Arrow|Draco Dual Cam|Aurix|Mint|Amity|Revolution|Finity 9|Neon 9|T9w|Amity 4GB Dual Cam|Stone 4GB|Stone 8GB|Andromeda|Silken|X2|Andromeda II|Halley|Flame|Saphyr 9,7|Touch 8|Planet|Triton|Unique 10|Hexen 10|Memphis 4GB|Memphis 8GB|Onix 10)",FX2Tablet:"FX2 PAD7|FX2 PAD10",XoroTablet:"KidsPAD 701|PAD[ ]?712|PAD[ ]?714|PAD[ ]?716|PAD[ ]?717|PAD[ ]?718|PAD[ ]?720|PAD[ ]?721|PAD[ ]?722|PAD[ ]?790|PAD[ ]?792|PAD[ ]?900|PAD[ ]?9715D|PAD[ ]?9716DR|PAD[ ]?9718DR|PAD[ ]?9719QR|PAD[ ]?9720QR|TelePAD1030|Telepad1032|TelePAD730|TelePAD731|TelePAD732|TelePAD735Q|TelePAD830|TelePAD9730|TelePAD795|MegaPAD 1331|MegaPAD 1851|MegaPAD 2151",ViewsonicTablet:"ViewPad 10pi|ViewPad 10e|ViewPad 10s|ViewPad E72|ViewPad7|ViewPad E100|ViewPad 7e|ViewSonic VB733|VB100a",VerizonTablet:"QTAQZ3|QTAIR7|QTAQTZ3|QTASUN1|QTASUN2|QTAXIA1",OdysTablet:"LOOX|XENO10|ODYS[ -](Space|EVO|Xpress|NOON)|\\bXELIO\\b|Xelio10Pro|XELIO7PHONETAB|XELIO10EXTREME|XELIOPT2|NEO_QUAD10",CaptivaTablet:"CAPTIVA PAD",IconbitTablet:"NetTAB|NT-3702|NT-3702S|NT-3702S|NT-3603P|NT-3603P|NT-0704S|NT-0704S|NT-3805C|NT-3805C|NT-0806C|NT-0806C|NT-0909T|NT-0909T|NT-0907S|NT-0907S|NT-0902S|NT-0902S",TeclastTablet:"T98 4G|\\bP80\\b|\\bX90HD\\b|X98 Air|X98 Air 3G|\\bX89\\b|P80 3G|\\bX80h\\b|P98 Air|\\bX89HD\\b|P98 3G|\\bP90HD\\b|P89 3G|X98 3G|\\bP70h\\b|P79HD 3G|G18d 3G|\\bP79HD\\b|\\bP89s\\b|\\bA88\\b|\\bP10HD\\b|\\bP19HD\\b|G18 3G|\\bP78HD\\b|\\bA78\\b|\\bP75\\b|G17s 3G|G17h 3G|\\bP85t\\b|\\bP90\\b|\\bP11\\b|\\bP98t\\b|\\bP98HD\\b|\\bG18d\\b|\\bP85s\\b|\\bP11HD\\b|\\bP88s\\b|\\bA80HD\\b|\\bA80se\\b|\\bA10h\\b|\\bP89\\b|\\bP78s\\b|\\bG18\\b|\\bP85\\b|\\bA70h\\b|\\bA70\\b|\\bG17\\b|\\bP18\\b|\\bA80s\\b|\\bA11s\\b|\\bP88HD\\b|\\bA80h\\b|\\bP76s\\b|\\bP76h\\b|\\bP98\\b|\\bA10HD\\b|\\bP78\\b|\\bP88\\b|\\bA11\\b|\\bA10t\\b|\\bP76a\\b|\\bP76t\\b|\\bP76e\\b|\\bP85HD\\b|\\bP85a\\b|\\bP86\\b|\\bP75HD\\b|\\bP76v\\b|\\bA12\\b|\\bP75a\\b|\\bA15\\b|\\bP76Ti\\b|\\bP81HD\\b|\\bA10\\b|\\bT760VE\\b|\\bT720HD\\b|\\bP76\\b|\\bP73\\b|\\bP71\\b|\\bP72\\b|\\bT720SE\\b|\\bC520Ti\\b|\\bT760\\b|\\bT720VE\\b|T720-3GE|T720-WiFi",OndaTablet:"\\b(V975i|Vi30|VX530|V701|Vi60|V701s|Vi50|V801s|V719|Vx610w|VX610W|V819i|Vi10|VX580W|Vi10|V711s|V813|V811|V820w|V820|Vi20|V711|VI30W|V712|V891w|V972|V819w|V820w|Vi60|V820w|V711|V813s|V801|V819|V975s|V801|V819|V819|V818|V811|V712|V975m|V101w|V961w|V812|V818|V971|V971s|V919|V989|V116w|V102w|V973|Vi40)\\b[\\s]+|V10 \\b4G\\b",JaytechTablet:"TPC-PA762",BlaupunktTablet:"Endeavour 800NG|Endeavour 1010",DigmaTablet:"\\b(iDx10|iDx9|iDx8|iDx7|iDxD7|iDxD8|iDsQ8|iDsQ7|iDsQ8|iDsD10|iDnD7|3TS804H|iDsQ11|iDj7|iDs10)\\b",EvolioTablet:"ARIA_Mini_wifi|Aria[ _]Mini|Evolio X10|Evolio X7|Evolio X8|\\bEvotab\\b|\\bNeura\\b",LavaTablet:"QPAD E704|\\bIvoryS\\b|E-TAB IVORY|\\bE-TAB\\b",AocTablet:"MW0811|MW0812|MW0922|MTK8382|MW1031|MW0831|MW0821|MW0931|MW0712",MpmanTablet:"MP11 OCTA|MP10 OCTA|MPQC1114|MPQC1004|MPQC994|MPQC974|MPQC973|MPQC804|MPQC784|MPQC780|\\bMPG7\\b|MPDCG75|MPDCG71|MPDC1006|MP101DC|MPDC9000|MPDC905|MPDC706HD|MPDC706|MPDC705|MPDC110|MPDC100|MPDC99|MPDC97|MPDC88|MPDC8|MPDC77|MP709|MID701|MID711|MID170|MPDC703|MPQC1010",CelkonTablet:"CT695|CT888|CT[\\s]?910|CT7 Tab|CT9 Tab|CT3 Tab|CT2 Tab|CT1 Tab|C820|C720|\\bCT-1\\b",WolderTablet:"miTab \\b(DIAMOND|SPACE|BROOKLYN|NEO|FLY|MANHATTAN|FUNK|EVOLUTION|SKY|GOCAR|IRON|GENIUS|POP|MINT|EPSILON|BROADWAY|JUMP|HOP|LEGEND|NEW AGE|LINE|ADVANCE|FEEL|FOLLOW|LIKE|LINK|LIVE|THINK|FREEDOM|CHICAGO|CLEVELAND|BALTIMORE-GH|IOWA|BOSTON|SEATTLE|PHOENIX|DALLAS|IN 101|MasterChef)\\b",MediacomTablet:"M-MPI10C3G|M-SP10EG|M-SP10EGP|M-SP10HXAH|M-SP7HXAH|M-SP10HXBH|M-SP8HXAH|M-SP8MXA",MiTablet:"\\bMI PAD\\b|\\bHM NOTE 1W\\b",NibiruTablet:"Nibiru M1|Nibiru Jupiter One",NexoTablet:"NEXO NOVA|NEXO 10|NEXO AVIO|NEXO FREE|NEXO GO|NEXO EVO|NEXO 3G|NEXO SMART|NEXO KIDDO|NEXO MOBI",LeaderTablet:"TBLT10Q|TBLT10I|TBL-10WDKB|TBL-10WDKBO2013|TBL-W230V2|TBL-W450|TBL-W500|SV572|TBLT7I|TBA-AC7-8G|TBLT79|TBL-8W16|TBL-10W32|TBL-10WKB|TBL-W100",UbislateTablet:"UbiSlate[\\s]?7C",PocketBookTablet:"Pocketbook",KocasoTablet:"\\b(TB-1207)\\b",HisenseTablet:"\\b(F5281|E2371)\\b",Hudl:"Hudl HT7S3|Hudl 2",TelstraTablet:"T-Hub2",GenericTablet:"Android.*\\b97D\\b|Tablet(?!.*PC)|BNTV250A|MID-WCDMA|LogicPD Zoom2|\\bA7EB\\b|CatNova8|A1_07|CT704|CT1002|\\bM721\\b|rk30sdk|\\bEVOTAB\\b|M758A|ET904|ALUMIUM10|Smartfren Tab|Endeavour 1010|Tablet-PC-4|Tagi Tab|\\bM6pro\\b|CT1020W|arc 10HD|\\bTP750\\b|\\bQTAQZ3\\b|WVT101|TM1088|KT107"},oss:{AndroidOS:"Android",BlackBerryOS:"blackberry|\\bBB10\\b|rim tablet os",PalmOS:"PalmOS|avantgo|blazer|elaine|hiptop|palm|plucker|xiino",SymbianOS:"Symbian|SymbOS|Series60|Series40|SYB-[0-9]+|\\bS60\\b",WindowsMobileOS:"Windows CE.*(PPC|Smartphone|Mobile|[0-9]{3}x[0-9]{3})|Windows Mobile|Windows Phone [0-9.]+|WCE;",WindowsPhoneOS:"Windows Phone 10.0|Windows Phone 8.1|Windows Phone 8.0|Windows Phone OS|XBLWP7|ZuneWP7|Windows NT 6.[23]; ARM;",iOS:"\\biPhone.*Mobile|\\biPod|\\biPad|AppleCoreMedia",iPadOS:"CPU OS 13",SailfishOS:"Sailfish",MeeGoOS:"MeeGo",MaemoOS:"Maemo",JavaOS:"J2ME/|\\bMIDP\\b|\\bCLDC\\b",webOS:"webOS|hpwOS",badaOS:"\\bBada\\b",BREWOS:"BREW"},uas:{Chrome:"\\bCrMo\\b|CriOS|Android.*Chrome/[.0-9]* (Mobile)?",Dolfin:"\\bDolfin\\b",Opera:"Opera.*Mini|Opera.*Mobi|Android.*Opera|Mobile.*OPR/[0-9.]+$|Coast/[0-9.]+",Skyfire:"Skyfire",Edge:"\\bEdgiOS\\b|Mobile Safari/[.0-9]* Edge",IE:"IEMobile|MSIEMobile",Firefox:"fennec|firefox.*maemo|(Mobile|Tablet).*Firefox|Firefox.*Mobile|FxiOS",Bolt:"bolt",TeaShark:"teashark",Blazer:"Blazer",Safari:"Version((?!\\bEdgiOS\\b).)*Mobile.*Safari|Safari.*Mobile|MobileSafari",WeChat:"\\bMicroMessenger\\b",UCBrowser:"UC.*Browser|UCWEB",baiduboxapp:"baiduboxapp",baidubrowser:"baidubrowser",DiigoBrowser:"DiigoBrowser",Mercury:"\\bMercury\\b",ObigoBrowser:"Obigo",NetFront:"NF-Browser",GenericBrowser:"NokiaBrowser|OviBrowser|OneBrowser|TwonkyBeamBrowser|SEMC.*Browser|FlyFlow|Minimo|NetFront|Novarra-Vision|MQQBrowser|MicroMessenger",PaleMoon:"Android.*PaleMoon|Mobile.*PaleMoon"},props:{Mobile:"Mobile/[VER]",Build:"Build/[VER]",Version:"Version/[VER]",VendorID:"VendorID/[VER]",iPad:"iPad.*CPU[a-z ]+[VER]",iPhone:"iPhone.*CPU[a-z ]+[VER]",iPod:"iPod.*CPU[a-z ]+[VER]",Kindle:"Kindle/[VER]",Chrome:["Chrome/[VER]","CriOS/[VER]","CrMo/[VER]"],Coast:["Coast/[VER]"],Dolfin:"Dolfin/[VER]",Firefox:["Firefox/[VER]","FxiOS/[VER]"],Fennec:"Fennec/[VER]",Edge:"Edge/[VER]",IE:["IEMobile/[VER];","IEMobile [VER]","MSIE [VER];","Trident/[0-9.]+;.*rv:[VER]"],NetFront:"NetFront/[VER]",NokiaBrowser:"NokiaBrowser/[VER]",Opera:[" OPR/[VER]","Opera Mini/[VER]","Version/[VER]"],"Opera Mini":"Opera Mini/[VER]","Opera Mobi":"Version/[VER]",UCBrowser:["UCWEB[VER]","UC.*Browser/[VER]"],MQQBrowser:"MQQBrowser/[VER]",MicroMessenger:"MicroMessenger/[VER]",baiduboxapp:"baiduboxapp/[VER]",baidubrowser:"baidubrowser/[VER]",SamsungBrowser:"SamsungBrowser/[VER]",Iron:"Iron/[VER]",Safari:["Version/[VER]","Safari/[VER]"],Skyfire:"Skyfire/[VER]",Tizen:"Tizen/[VER]",Webkit:"webkit[ /][VER]",PaleMoon:"PaleMoon/[VER]",SailfishBrowser:"SailfishBrowser/[VER]",Gecko:"Gecko/[VER]",Trident:"Trident/[VER]",Presto:"Presto/[VER]",Goanna:"Goanna/[VER]",iOS:" \\bi?OS\\b [VER][ ;]{1}",Android:"Android [VER]",Sailfish:"Sailfish [VER]",BlackBerry:["BlackBerry[\\w]+/[VER]","BlackBerry.*Version/[VER]","Version/[VER]"],BREW:"BREW [VER]",Java:"Java/[VER]","Windows Phone OS":["Windows Phone OS [VER]","Windows Phone [VER]"],"Windows Phone":"Windows Phone [VER]","Windows CE":"Windows CE/[VER]","Windows NT":"Windows NT [VER]",Symbian:["SymbianOS/[VER]","Symbian/[VER]"],webOS:["webOS/[VER]","hpwOS/[VER];"]},utils:{Bot:"Googlebot|facebookexternalhit|Google-AMPHTML|s~amp-validator|AdsBot-Google|Google Keyword Suggestion|Facebot|YandexBot|YandexMobileBot|bingbot|ia_archiver|AhrefsBot|Ezooms|GSLFbot|WBSearchBot|Twitterbot|TweetmemeBot|Twikle|PaperLiBot|Wotbox|UnwindFetchor|Exabot|MJ12bot|YandexImages|TurnitinBot|Pingdom|contentkingapp|AspiegelBot",MobileBot:"Googlebot-Mobile|AdsBot-Google-Mobile|YahooSeeker/M1A1-R2D2",DesktopMode:"WPDesktop",TV:"SonyDTV|HbbTV",WebKit:"(webkit)[ /]([\\w.]+)",Console:"\\b(Nintendo|Nintendo WiiU|Nintendo 3DS|Nintendo Switch|PLAYSTATION|Xbox)\\b",Watch:"SM-V700"}},g.detectMobileBrowsers={fullPattern:/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i, shortPattern:/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i,tabletPattern:/android|ipad|playbook|silk/i};var h,i=Object.prototype.hasOwnProperty;return g.FALLBACK_PHONE="UnknownPhone",g.FALLBACK_TABLET="UnknownTablet",g.FALLBACK_MOBILE="UnknownMobile",h="isArray"in Array?Array.isArray:function(a){return"[object Array]"===Object.prototype.toString.call(a)},function(){var a,b,c,e,f,j,k=g.mobileDetectRules;for(a in k.props)if(i.call(k.props,a)){for(b=k.props[a],h(b)||(b=[b]),f=b.length,e=0;e<f;++e)c=b[e],j=c.indexOf("[VER]"),j>=0&&(c=c.substring(0,j)+"([\\w._\\+]+)"+c.substring(j+5)),b[e]=new RegExp(c,"i");k.props[a]=b}d(k.oss),d(k.phones),d(k.tablets),d(k.uas),d(k.utils),k.oss0={WindowsPhoneOS:k.oss.WindowsPhoneOS,WindowsMobileOS:k.oss.WindowsMobileOS}}(),g.findMatch=function(a,b){for(var c in a)if(i.call(a,c)&&a[c].test(b))return c;return null},g.findMatches=function(a,b){var c=[];for(var d in a)i.call(a,d)&&a[d].test(b)&&c.push(d);return c},g.getVersionStr=function(a,b){var c,d,e,f,h=g.mobileDetectRules.props;if(i.call(h,a))for(c=h[a],e=c.length,d=0;d<e;++d)if(f=c[d].exec(b),null!==f)return f[1];return null},g.getVersion=function(a,b){var c=g.getVersionStr(a,b);return c?g.prepareVersionNo(c):NaN},g.prepareVersionNo=function(a){var b;return b=a.split(/[a-z._ \/\-]/i),1===b.length&&(a=b[0]),b.length>1&&(a=b[0]+".",b.shift(),a+=b.join("")),Number(a)},g.isMobileFallback=function(a){return g.detectMobileBrowsers.fullPattern.test(a)||g.detectMobileBrowsers.shortPattern.test(a.substr(0,4))},g.isTabletFallback=function(a){return g.detectMobileBrowsers.tabletPattern.test(a)},g.prepareDetectionCache=function(a,c,d){if(a.mobile===b){var e,h,i;return(h=g.findMatch(g.mobileDetectRules.tablets,c))?(a.mobile=a.tablet=h,void(a.phone=null)):(e=g.findMatch(g.mobileDetectRules.phones,c))?(a.mobile=a.phone=e,void(a.tablet=null)):void(g.isMobileFallback(c)?(i=f.isPhoneSized(d),i===b?(a.mobile=g.FALLBACK_MOBILE,a.tablet=a.phone=null):i?(a.mobile=a.phone=g.FALLBACK_PHONE,a.tablet=null):(a.mobile=a.tablet=g.FALLBACK_TABLET,a.phone=null)):g.isTabletFallback(c)?(a.mobile=a.tablet=g.FALLBACK_TABLET,a.phone=null):a.mobile=a.tablet=a.phone=null)}},g.mobileGrade=function(a){var b=null!==a.mobile();return a.os("iOS")&&a.version("iPad")>=4.3||a.os("iOS")&&a.version("iPhone")>=3.1||a.os("iOS")&&a.version("iPod")>=3.1||a.version("Android")>2.1&&a.is("Webkit")||a.version("Windows Phone 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