{"id":145269,"date":"2023-12-21T11:47:42","date_gmt":"2023-12-21T10:47:42","guid":{"rendered":"https:\/\/eurecat.org\/?p=145269"},"modified":"2024-01-17T12:46:59","modified_gmt":"2024-01-17T11:46:59","slug":"eurecat-points-to-generative-artificial-intelligence-as-the-technology-trendsetter-for-2024","status":"publish","type":"post","link":"https:\/\/eurecat.org\/en\/eurecat-points-to-generative-artificial-intelligence-as-the-technology-trendsetter-for-2024\/","title":{"rendered":"Eurecat points to generative artificial intelligence as the technology trendsetter for 2024"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1424.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><p>The <a href=\"https:\/\/eurecat.org\/\">Eurecat<\/a> technology centre predicts that 2024 will be the year of exploiting generative artificial intelligence which will yield solutions developed for a wide range of sectors including healthcare, construction, manufacturing, education, finance, retail and government.<\/p>\n<p>Daniel Casellas, Eurecat\u2019s scientific director, notes \u201cthe enormous potential which is opening up to ensure that new technological developments in generative artificial intelligence are transferred to various sectors so the solutions can engender new opportunities, are sustainable and also ramp up industrial resilience.\u201d<\/p>\n<p>Generative artificial intelligence \u201chas had a huge impact and will unquestionably continue to be a trendsetter in 2024,\u201d adds Mar\u00eda Eugenia Fuenmayor, scientific director of Eurecat\u2019s Digital Area. \u201cIt will evolve into more advanced, multimodal models which are more efficient and precise than their current counterparts coupled with improvements in ethics and the transparency of the results.\u201d<\/p>\n<p>\u201cAs with any new technology, and in this case also one with enormous transformational power, businesses are exploring how to tap generative AI\u2019s huge capacity to generate content such as text, images, video, code and audio to innovate and step up productivity and creativity.\u201d<\/p>\n<p>Nonetheless, she points out that if they are to secure a permanent place in enterprises\u2019 automated processes, large language models \u201cneed to improve in a number of aspects such as the vast amount of resources they use, tailoring models to specific needs, the poor explainability of their results and the possibility of bias and misinformation in the answers.\u201d<\/p>\n<p>To mitigate this, she expects 2024 \u201cwill see trends which will support large language models and generative AI in general in the evolutionary process, especially ethical AI, including issues in privacy, bias, discrimination and explainability, exploratory quantum AI and cybersecurity.\u201d<\/p>\n<p><strong>The year of generative AI in industry<\/strong><\/p>\n<p>In the coming year, \u201cgenerative AI will also gain ground in manufacturing and be part of practically every link in the supply chains of many sectors with the primary goal of optimising them to enhance efficiency, increase quality, cut costs, speed up processes and reduce risks,\u201d argues Ricard Jim\u00e9nez, scientific director of Eurecat\u2019s Industrial Area.<\/p>\n<p>He thinks that \u201cthis trend will embrace all sectors involving product design where generative design software will be able to dump large quantities of design proposals in compliance with the user\u2019s pre-set requirements.\u201d<\/p>\n<p>\u201cMachine learning algorithms will also be used in quality control and predictive maintenance and will be increasingly better trained to spot any data patterns which predict either a machine breakdown or a product defect.\u201d<\/p>\n<p>Likewise, he believes that \u201cthe mix of generative AI models and digital twins will also take production planning and logistics to the next level as it will be possible to simulate a large number of scenarios and forecast supply and demand and the availability of raw materials and all kinds of resources.\u201d<\/p>\n<p>Furthermore, \u201cgenerative AI will also be a facilitator for expanding automation of industrial processes and in particular robotics, which will make huge strides and where one of the most disruptive applications will be in human-robot interaction.\u201d This will prompt the emergence of the first robots in healthcare and customer service, as is the case of a prototype of a care robot for mental health applications which Eurecat is developing.<\/p>\n<p><strong>Generative artificial intelligence as a key player in the healthcare industry too<\/strong><\/p>\n<p>\u201cThe burgeoning potential of generative artificial intelligence means it is also set to play a leading role in the healthcare industry,\u201d comments Francesc Puiggr\u00f2s, scientific director of Eurecat\u2019s Biotechnology Area.<\/p>\n<p>In lockstep with laying the foundations of the regulatory framework for its use, this technology\u2019s ability \u201cto push beyond tapping defined algorithms and existing patterns to harness machine learning neural networks to generate content which simulates human creativity will be crucial for unlocking big data in healthcare, interpreting vast amounts of biological data and fast-tracking innovation\u201d in this area.<\/p>\n<p>As examples, Francesc Puiggr\u00f2s points to \u201cthe automation of processes to expedite the discovery of biological substances for use in the pharmaceutical or food industries, automated analysis of scientific text to optimise experimental design to validate them and discover new efficient products for human wellbeing or detecting and classifying images to identify, diagnose and treat grades of tumours or symptoms of incipient diseases in a hitherto unimaginable time.\u201d<\/p>\n<p><strong>Circularity of metals in urban and industrial cycles<\/strong><\/p>\n<p>From an environmental standpoint, the circularity of metal alloys in urban and industrial cycles will be a key trend in 2024 against a background where \u201cglobally we are facing significant challenges such as climate change, decarbonisation and ensuring access to secure energy and water sources coupled with the availability of critical resources,\u201d says Joan de Pablo, scientific director of Eurecat\u2019s Sustainability Area.<\/p>\n<p>Nowadays Europe \u201cis highly dependent on imports of elements and critical element concentrates as its primary resources are not sufficient to cover most of these materials,\u201d he argues. This has led to the use of secondary sources which is \u201cdriving recycling of these materials\u2019 urban and industrial cycles along with exploring alternative sources, replacement by other non-critical elements and reducing their use or content in line with the substitution principle.\u201d<\/p>\n<p>Both strategies \u201care crucial to safeguard long-term supply and be less dependent on geopolitical restrictions.\u201d<\/p>\n<p>In his view, technology elements \u201care pivotal for the economy in general and in developing products and technologies to drive a transition to a decarbonised society\u201d in an approach which \u201cembraces the elements which play a key role in this context at the European level and in any industrialised region.\u201d<\/p>\n<p>The European Union has classified these elements as critical raw materials, including lithium, rare earth metals, cobalt, phosphorus, titanium and magnesium. The critical materials programme\u2019s main goal is to \u201cunlock a competitive and sustainable society which is why it is crucial to have these materials available in sufficient quantities and at competitive prices.\u201d<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":20,"featured_media":144565,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2297,2274,2284,2290,743,2286,433],"tags":[],"class_list":["post-145269","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-construction","category-finances-and-insurance","category-health","category-ict","category-press-notes-en","category-public-sector","category-sustainability"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Eurecat points to generative artificial intelligence as the technology trendsetter for 2024 - 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