{"id":10338,"date":"2023-12-14T16:35:17","date_gmt":"2023-12-14T21:35:17","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/?p=10338"},"modified":"2026-03-26T12:26:33","modified_gmt":"2026-03-26T16:26:33","slug":"an-exciting-year-of-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/an-exciting-year-of-artificial-intelligence\/","title":{"rendered":"An exciting year of artificial intelligence"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>It is no exaggeration to say that artificial intelligence is one of the fastest developing fields in the world and, looking back at the many advances 2023 has brought, this may be one of the most exciting years so far. Along with great strides in generative AI, I\u2019ve been fortunate enough to work with AI experts in a variety of different fields to learn more about the ways they\u2019re bringing AI into industry and our everyday lives. Below, I\u2019ve taken a look back at some of the highlights from the past year while also looking ahead at what 2024 might bring.<\/p>\n\n\n\n<p><strong>Generative AI takes center stage<\/strong><\/p>\n\n\n\n<div class=\"wp-block-cover\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim\"><\/span><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" class=\"wp-block-cover__image-background wp-image-9900\" alt=\"\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/08\/Chapter-2-Headerimage_medium-1024x576.jpeg\" data-object-fit=\"cover\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/08\/Chapter-2-Headerimage_medium-1024x576.jpeg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/08\/Chapter-2-Headerimage_medium-600x338.jpeg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/08\/Chapter-2-Headerimage_medium-768x432.jpeg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/08\/Chapter-2-Headerimage_medium-1536x864.jpeg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/08\/Chapter-2-Headerimage_medium-2048x1152.jpeg 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/08\/Chapter-2-Headerimage_medium-395x222.jpeg 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/08\/Chapter-2-Headerimage_medium-900x506.jpeg 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<p>Since its release at the end of 2022, ChatGPT has ushered in a new era of AI as it shows off the, in many ways, near human-like abilities of large language models (LLMs) and generative AI as a whole. In a single short year, what would have once seemed like science fiction has suddenly become reality with text, images, audio and more easily generated from simple natural language descriptions with remarkable accuracy. Generative AI is also starting to integrate directly with different software in the form of copilots, assisting users in their day-to-day tasks like an experienced coworker. Check out this <a href=\"https:\/\/blogs.sw.siemens.com\/podcasts\/ai-spectrum\/exploring-generative-ai-part-1\/\">3-part<\/a> <a href=\"https:\/\/blogs.sw.siemens.com\/podcasts\/ai-spectrum\/exploring-generative-ai-part-2\/\">podcast<\/a> <a href=\"https:\/\/blogs.sw.siemens.com\/podcasts\/ai-spectrum\/exploring-generative-ai-part-3\/\">series<\/a> to find out more about the ways Generative AI is reshaping industrial software.<\/p>\n<\/div><\/div>\n\n\n\n<p><strong>A trip around the globe<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group alignwide\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns alignwide are-vertically-aligned-center is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:50%\">\n<p>In May, I had the opportunity to travel half-way around the world to beautiful Munich Germany and attend the Siemens sponsored AI with Purpose Summit. At this 2-day event in Bavaria I had the opportunity to attend talks and workshops hosted by AI experts across a wide range of fields, understand what they were working on, and the impact that would have on the future. At the same time, a number of startups were also in attendance, showcasing the impressive breadth of innovation to be found in the world of AI. From the novel to the practical, check out what those startups were up to in this <a href=\"https:\/\/blogs.sw.siemens.com\/thought-leadership\/2023\/05\/24\/startup-roundup-ai-with-purpose-summit-2023\/\">roundup<\/a> blog.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:50%\">\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"473\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/20230517_1312011-1024x473.jpg\" alt=\"\" class=\"wp-image-9515\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/20230517_1312011-1024x473.jpg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/20230517_1312011-600x277.jpg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/20230517_1312011-768x355.jpg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/20230517_1312011-1536x710.jpg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/20230517_1312011-2048x946.jpg 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/20230517_1312011-900x416.jpg 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><strong>AI accelerates chip design<\/strong><\/p>\n\n\n\n<div class=\"wp-block-cover\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim\"><\/span><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" class=\"wp-block-cover__image-background wp-image-9446\" alt=\"\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/1-4-EDA-product-technology-from-Siemens-EDA_medium-1024x576.jpeg\" data-object-fit=\"cover\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/1-4-EDA-product-technology-from-Siemens-EDA_medium-1024x576.jpeg 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/1-4-EDA-product-technology-from-Siemens-EDA_medium-600x338.jpeg 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/1-4-EDA-product-technology-from-Siemens-EDA_medium-768x432.jpeg 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/1-4-EDA-product-technology-from-Siemens-EDA_medium-1536x864.jpeg 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/1-4-EDA-product-technology-from-Siemens-EDA_medium-2048x1152.jpeg 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/1-4-EDA-product-technology-from-Siemens-EDA_medium-395x222.jpeg 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/05\/1-4-EDA-product-technology-from-Siemens-EDA_medium-900x506.jpeg 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<p class=\"has-text-align-left\">If electricity is the beating heart of modern technology, microchips are the brain. With increasing demand for chips to be faster, more efficient and optimized for a wide range of complex tasks, chip designers are turning to AI and machine learning (ML) to assist in the chip design and verification process. Tools such as Solido and Tessent, offered by Siemens EDA, use ML to help drastically speed up the process of validating designs and tracking down problems in finished parts \u2013 sometimes by as much as 1,000,000x. While not employing AI itself, tools like Siemens EDA\u2019s Catapult help design next-generation AI accelerators by translating complex AI algorithms into highly optimized chip designs. To find out more about the role of AI and ML in EDA, check out this <a href=\"https:\/\/blogs.sw.siemens.com\/podcasts\/ai-spectrum\/how-ai-revolutionized-ic-validation-and-characterization\/\">podcast<\/a> on AI in the chip verification process.<\/p>\n<\/div><\/div>\n\n\n\n<p><strong>Connecting supply and demand<\/strong><\/p>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-top is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:54%\">\n<p> In a world that increasingly relies on a connected, global supply chain the importance of understanding when and where a product is coming from as well as other factors, such as environmental impact or potential disruptions, is of particularly high value. Across the breadth of the electronics component value chain, that is exactly what Supplyframe seeks to do with a healthy dose of AI. Understanding something as complex as the global supply chain, even just for a single industry of components, and then using that to gauge buying intent or predict sudden disruptions from that is a daunting task due to the sheer volume of information and variables. AI is, of course, well known for its ability to handle vast quantities of data and extract useful insights from it, something I delved into with Supplyframe in a 3-part podcast series with parts <a href=\"https:\/\/blogs.sw.siemens.com\/podcasts\/ai-spectrum\/understanding-engineering-intent-with-ai-part-1\/\">1<\/a>, <a href=\"https:\/\/blogs.sw.siemens.com\/podcasts\/ai-spectrum\/understanding-engineering-intent-with-ai-part-2\/\">2<\/a> and <a href=\"https:\/\/blogs.sw.siemens.com\/podcasts\/ai-spectrum\/understanding-engineering-intent-with-ai-part-3\/\">3<\/a> available here.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:46%\">\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/Cantena-X-resilience-for-the-supply-chain_medium-1024x576.png\" alt=\"\" class=\"wp-image-10342\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/Cantena-X-resilience-for-the-supply-chain_medium-1024x576.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/Cantena-X-resilience-for-the-supply-chain_medium-600x338.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/Cantena-X-resilience-for-the-supply-chain_medium-768x432.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/Cantena-X-resilience-for-the-supply-chain_medium-1536x864.png 1536w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/Cantena-X-resilience-for-the-supply-chain_medium-2048x1152.png 2048w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/Cantena-X-resilience-for-the-supply-chain_medium-395x222.png 395w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/Cantena-X-resilience-for-the-supply-chain_medium-900x506.png 900w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p><b>Looking back to look forward<\/b><\/p>\n\n\n\n<p>Dall-E, and Elevenlabs becoming part of daily life for many. With such rapid development continuing to happen, predicting the ways that AI will continue to evolve in the future is no mean feat but, even so, whatever is coming next is sure to astonish and amaze, just as it has in the past.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Siemens Digital Industries Software<\/strong>\u00a0helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens\u2019 software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today\u2019s ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries.\u00a0<a href=\"http:\/\/www.siemens.com\/software\" target=\"_blank\" rel=\"noreferrer noopener\">Siemens Digital Industries Software<\/a>\u00a0\u2013 Accelerating transformation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>It is no exaggeration to say that artificial intelligence is one of the fastest developing fields in the world and,&#8230;<\/p>\n","protected":false},"author":82958,"featured_media":10346,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1,63],"tags":[12,194,11,2,92,4,175],"industry":[],"product":[],"coauthors":[2461],"class_list":["post-10338","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-featured","tag-artificial-intelligence","tag-digital-transformation","tag-digital-twin","tag-digitalization","tag-industrial-machinery","tag-simulation","tag-xcelerator"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/19\/2023\/12\/AI-Person-Direct-touch-621465783_medium.jpeg","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/posts\/10338","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/users\/82958"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/comments?post=10338"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/posts\/10338\/revisions"}],"predecessor-version":[{"id":10347,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/posts\/10338\/revisions\/10347"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/media\/10346"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/media?parent=10338"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/categories?post=10338"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/tags?post=10338"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/industry?post=10338"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/product?post=10338"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/thought-leadership\/wp-json\/wp\/v2\/coauthors?post=10338"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}