https://insideainews.com/tag/nlp/ Illuminating AI's Frontiers: Your Go-To News Destination. Thu, 09 Nov 2023 17:37:09 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/nlp/ 32 32 136462205 https://insideainews.com/2023/10/30/kickstart-your-business-to-the-next-level-with-ai-inferencing/ https://insideainews.com/2023/10/30/kickstart-your-business-to-the-next-level-with-ai-inferencing/#respond Mon, 30 Oct 2023 10:00:00 +0000 https://insidebigdata.com/?p=33744 The need to accelerate AI initiatives is real and widespread across all industries. The ability to integrate and deploy AI inferencing with pre-trained models can reduce development time with scalable secure solutions that would revolutionize how easily you can capture, store, analyze, and use data to be more competitive.]]> https://insideainews.com/2023/10/30/kickstart-your-business-to-the-next-level-with-ai-inferencing/feed/ 0 33744 https://insideainews.com/2023/07/11/three-ways-to-identify-nlp-applications-within-a-business/ https://insideainews.com/2023/07/11/three-ways-to-identify-nlp-applications-within-a-business/#respond Tue, 11 Jul 2023 11:00:00 +0000 https://insidebigdata.com/?p=32843 In this contributed article, Domenic Puzio, Senior Machine Learning Engineer on the NLP Team at Kensho Technologies, discusses NLP, the branch of machine learning (ML) that focuses on training computers to understand written language, a skill that comes naturally to humans and has historically been very difficult for machines. This article examines a few ways to identify when NLP can be used to make these natural language workflows faster and more efficient.]]> https://insideainews.com/2023/07/11/three-ways-to-identify-nlp-applications-within-a-business/feed/ 0 32843 https://insideainews.com/2023/06/13/how-nlp-can-provide-deeper-actionable-data-insights-for-all-healthcare-stakeholders/ https://insideainews.com/2023/06/13/how-nlp-can-provide-deeper-actionable-data-insights-for-all-healthcare-stakeholders/#respond Tue, 13 Jun 2023 10:00:00 +0000 https://insidebigdata.com/?p=32623 In this contributed article, Anoop Sarkar, PhD, Chief Technology Officer, emtelligent, discusses how providing clinicians with the most accurate and relevant information about a patient at the point of care requires a collaboration between AI-powered medical NLP and clinicians with deep medical knowledge. These collaborations will fulfill the promise of medical NLP. ]]> https://insideainews.com/2023/06/13/how-nlp-can-provide-deeper-actionable-data-insights-for-all-healthcare-stakeholders/feed/ 0 32623 https://insideainews.com/2023/06/08/the-science-and-practical-applications-of-word-embeddings/ https://insideainews.com/2023/06/08/the-science-and-practical-applications-of-word-embeddings/#respond Thu, 08 Jun 2023 13:00:00 +0000 https://insidebigdata.com/?p=32578 In this contributed article, editorial consultant Jelani Harper takes a look at how word embeddings are directly responsible for many of the exponential advancements natural language technologies have made over the past couple years. They’re foundational to the functionality of popular Large Language Models like ChatGPT and other GPT iterations. These mathematical representations also have undeniable implications for textual applications of Generative AI.]]> https://insideainews.com/2023/06/08/the-science-and-practical-applications-of-word-embeddings/feed/ 0 32578 https://insideainews.com/2023/04/23/16-year-old-data-scientist-creates-innovative-app-to-champion-gender-equality-in-sports-media-coverage-of-ncaa-womens-basketball/ https://insideainews.com/2023/04/23/16-year-old-data-scientist-creates-innovative-app-to-champion-gender-equality-in-sports-media-coverage-of-ncaa-womens-basketball/#respond Sun, 23 Apr 2023 13:00:00 +0000 https://insidebigdata.com/?p=32158 Nathaniel Yellin, a 16-year-old student, has concluded a new study that reveals the significant gender bias in the sports media coverage of female athletes and, in particular, college basketball players. Yellin has pursued his passions for sports, data science and inspiring change through the creation of an organization and interactive R Shiny application SIDELINED.]]> https://insideainews.com/2023/04/23/16-year-old-data-scientist-creates-innovative-app-to-champion-gender-equality-in-sports-media-coverage-of-ncaa-womens-basketball/feed/ 0 32158 https://insideainews.com/2023/02/06/implementing-ai-into-enterprise-search-to-make-it-smarter/ https://insideainews.com/2023/02/06/implementing-ai-into-enterprise-search-to-make-it-smarter/#respond Mon, 06 Feb 2023 14:00:00 +0000 https://insidebigdata.com/?p=31540 In this sponsored post, our friends over at Sinequa share how the advent of AI, enterprise search has transformed into intelligent search, precisely as was envisaged. This has far-reaching consequences on customer experience and, by extension, return on investment (ROI) in all industries.]]> https://insideainews.com/2023/02/06/implementing-ai-into-enterprise-search-to-make-it-smarter/feed/ 0 31540 https://insideainews.com/2023/01/28/deci-delivers-breakthrough-inference-performance-on-intels-4th-gen-sapphire-rapids-cpu/ https://insideainews.com/2023/01/28/deci-delivers-breakthrough-inference-performance-on-intels-4th-gen-sapphire-rapids-cpu/#respond Sat, 28 Jan 2023 14:00:00 +0000 https://insidebigdata.com/?p=31488 Deci, the deep learning company building the next generation of AI, announced a breakthrough performance on Intel’s newly released 4th Gen Intel® Xeon® Scalable processors, code-named Sapphire Rapids. By optimizing the AI models which run on Intel’s new hardware, Deci enables AI developers to achieve GPU-like inference performance on CPUs in production for both Computer Vision and Natural Language Processing (NLP) tasks.]]> https://insideainews.com/2023/01/28/deci-delivers-breakthrough-inference-performance-on-intels-4th-gen-sapphire-rapids-cpu/feed/ 0 31488 https://insideainews.com/2023/01/18/originality-ai-allows-users-to-quickly-detect-ai-written-content-with-a-chrome-extension/ https://insideainews.com/2023/01/18/originality-ai-allows-users-to-quickly-detect-ai-written-content-with-a-chrome-extension/#comments Wed, 18 Jan 2023 15:00:00 +0000 https://insidebigdata.com/?p=31422 Originality.AI recently launched a tool that allows users to screen for content created by popular AI tools, such as ChatGPT. To increase efficiency for the user, Originality.AI has also launched a Google Chrome Extension to make it faster and easier to check content.]]> https://insideainews.com/2023/01/18/originality-ai-allows-users-to-quickly-detect-ai-written-content-with-a-chrome-extension/feed/ 1 31422 https://insideainews.com/2022/12/22/new-research-shows-that-77-of-businesses-using-natural-language-processing-expect-to-increase-investment/ https://insideainews.com/2022/12/22/new-research-shows-that-77-of-businesses-using-natural-language-processing-expect-to-increase-investment/#comments Thu, 22 Dec 2022 14:00:00 +0000 https://insidebigdata.com/?p=31203 More than three-quarters of businesses with active natural language processing (NLP) projects plan to increase spending on in the next 12 to 18 months, according to new data from expert.ai, a leading company in artificial intelligence (AI) for language understanding. The finding is one of many data points culled from a recent survey and detailed in expert.ai’s new report, The 2023 Expert NLP Survey Report: Trends driving NLP Investment and Innovation.]]> https://insideainews.com/2022/12/22/new-research-shows-that-77-of-businesses-using-natural-language-processing-expect-to-increase-investment/feed/ 1 31203 https://insideainews.com/2022/12/02/research-highlights-rr-metric-guided-adversarial-sentence-generation/ https://insideainews.com/2022/12/02/research-highlights-rr-metric-guided-adversarial-sentence-generation/#respond Fri, 02 Dec 2022 14:00:00 +0000 https://insidebigdata.com/?p=31009 Large language models are a hot topic in AI research right now. But there’s a hotter, more significant problem looming: we might run out of data to train them on ... as early as 2026. Kalyan Veeramachaneni and the team at MIT Data-to-AI Lab may have found the solution: in their new paper on Rewrite and Rollback (“R&R: Metric-Guided Adversarial Sentence Generation”), an R&R framework can tweak and turn low-quality (from sources like Twitter and 4Chan) into high-quality data (texts from sources like Wikipedia and industry websites) by rewriting meaningful sentences and thereby adding to the amount of the right type of data to test and train language models on.]]> https://insideainews.com/2022/12/02/research-highlights-rr-metric-guided-adversarial-sentence-generation/feed/ 0 31009