https://insideainews.com/tag/neural-networks/ Illuminating AI's Frontiers: Your Go-To News Destination. Thu, 22 Feb 2024 20:41:33 +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/neural-networks/ 32 32 136462205 https://insideainews.com/2024/02/26/a-brief-overview-of-the-strengths-and-weaknesses-artificial-intelligence/ https://insideainews.com/2024/02/26/a-brief-overview-of-the-strengths-and-weaknesses-artificial-intelligence/#respond Mon, 26 Feb 2024 11:00:00 +0000 https://insidebigdata.com/?p=34849 In this contributed article, editorial consultant Jelani Harper suggests that since there are strengths and challenges for each form of AI, prudent organizations will combine these approaches for the most effective results. Certain solutions in this space combine vector databases and applications of LLMs alongside knowledge graph environs, which are ideal for employing Graph Neural Networks and other forms of advanced machine learning. ]]> https://insideainews.com/2024/02/26/a-brief-overview-of-the-strengths-and-weaknesses-artificial-intelligence/feed/ 0 34849 https://insideainews.com/2024/02/12/scaling-data-quality-with-computer-vision-on-spatial-data/ https://insideainews.com/2024/02/12/scaling-data-quality-with-computer-vision-on-spatial-data/#respond Mon, 12 Feb 2024 11:00:00 +0000 https://insidebigdata.com/?p=34773 In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Computer vision is an extremely viable facet of advanced machine learning for the enterprise. Its utility for data quality is evinced from some high profile use cases. This technology can produce similar boons for other facets of the ever-shifting data ecosystem. ]]> https://insideainews.com/2024/02/12/scaling-data-quality-with-computer-vision-on-spatial-data/feed/ 0 34773 https://insideainews.com/2023/02/15/video-highlights-attention-is-all-you-need-paper-explained/ https://insideainews.com/2023/02/15/video-highlights-attention-is-all-you-need-paper-explained/#respond Wed, 15 Feb 2023 14:00:00 +0000 https://insidebigdata.com/?p=31639 In this video presentation, Mohammad Namvarpour presents a comprehensive study on Ashish Vaswani and his coauthors' renowned paper, “Attention Is All You Need.” This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond. Transformers are the basis of the large language models (LLMs) we're seeing today. ]]> https://insideainews.com/2023/02/15/video-highlights-attention-is-all-you-need-paper-explained/feed/ 0 31639 https://insideainews.com/2023/02/03/anomaly-detection-its-real-life-uses-and-the-latest-advances/ https://insideainews.com/2023/02/03/anomaly-detection-its-real-life-uses-and-the-latest-advances/#respond Fri, 03 Feb 2023 14:00:00 +0000 https://insidebigdata.com/?p=31552 In this contributed article, Al Gharakhanian, Machine Learning Development Director, Cognityze, takes a look at anomaly detection in terms of real-life use cases, addressing critical factors, along with the relationship with machine learning and artificial neural networks. ]]> https://insideainews.com/2023/02/03/anomaly-detection-its-real-life-uses-and-the-latest-advances/feed/ 0 31552 https://insideainews.com/2022/04/09/research-highlights-deep-neural-networks-and-tabular-data-a-survey/ https://insideainews.com/2022/04/09/research-highlights-deep-neural-networks-and-tabular-data-a-survey/#respond Sat, 09 Apr 2022 13:00:00 +0000 https://insidebigdata.com/?p=28903 In this regular column, we take a look at highlights for important research topics of the day for big data, data science, machine learning, AI and deep learning. It’s important to keep connected with the research arm of the field in order to see where we’re headed. In this edition, we feature a new paper showing that for tabular data, algorithms based on gradient-boosted tree ensembles still outperform the deep learning models. Enjoy!]]> https://insideainews.com/2022/04/09/research-highlights-deep-neural-networks-and-tabular-data-a-survey/feed/ 0 28903 https://insideainews.com/2021/06/26/the-amazing-applications-of-graph-neural-networks/ https://insideainews.com/2021/06/26/the-amazing-applications-of-graph-neural-networks/#respond Sat, 26 Jun 2021 13:00:00 +0000 https://insidebigdata.com/?p=26530 In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases. ]]> https://insideainews.com/2021/06/26/the-amazing-applications-of-graph-neural-networks/feed/ 0 26530 https://insideainews.com/2020/10/16/whats-under-the-hood-of-neural-networks/ https://insideainews.com/2020/10/16/whats-under-the-hood-of-neural-networks/#respond Fri, 16 Oct 2020 13:00:00 +0000 https://insidebigdata.com/?p=25109 In this contributed article, Pippa Cole, Science Writer at the London Institute for Mathematical Sciences, discusses new research on artificial neural networks that has added to concerns that we don’t have a clue what machine learning algorithms are up to under the hood. She highlights a new study that focuses on two completely different deep-layered machines, and found that in fact they did exactly the same thing, which was a huge surprise. It’s a demonstration of how little we understand about the inner workings of deep-layered neural networks.]]> https://insideainews.com/2020/10/16/whats-under-the-hood-of-neural-networks/feed/ 0 25109 https://insideainews.com/2020/08/27/research-highlights-attention-condensers/ https://insideainews.com/2020/08/27/research-highlights-attention-condensers/#respond Thu, 27 Aug 2020 13:00:00 +0000 https://insidebigdata.com/?p=24922 A group of AI researchers from DarwinAI and out of the University of Waterloo, announced an important theoretical development in deep learning around "attention condensers." The paper describing this important advancement is: "TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices," by Alexander Wong, et al. Wong is DarwinAI's CTO. ]]> https://insideainews.com/2020/08/27/research-highlights-attention-condensers/feed/ 0 24922 https://insideainews.com/2019/06/27/machine-learning-predefined-recipes/ https://insideainews.com/2019/06/27/machine-learning-predefined-recipes/#respond Thu, 27 Jun 2019 13:30:50 +0000 https://insidebigdata.com/?p=22669 The next evolution in human intelligence is automating the creation of machine learning models to not follow predefined formulas, but rather adapt and evolve according to the problem’s data. While machine learning has enabled massive advancements across industries, it requires significant development and maintenance efforts from data science teams. Enter Darwin, a machine learning tool that automates the building and deployment of models at scale. ]]> https://insideainews.com/2019/06/27/machine-learning-predefined-recipes/feed/ 0 22669 https://insideainews.com/2018/10/07/introduction-deep-learning-neural-networks/ https://insideainews.com/2018/10/07/introduction-deep-learning-neural-networks/#respond Sun, 07 Oct 2018 15:30:06 +0000 https://insidebigdata.com/?p=21207 https://insideainews.com/2018/10/07/introduction-deep-learning-neural-networks/feed/ 0 21207