{"id":3732,"date":"2024-02-06T10:56:50","date_gmt":"2024-02-06T02:56:50","guid":{"rendered":"https:\/\/www.1ai.net\/?p=3732"},"modified":"2024-02-06T10:56:57","modified_gmt":"2024-02-06T02:56:57","slug":"jua%e7%ad%b9%e9%9b%861600%e4%b8%87%e7%be%8e%e5%85%83%ef%bc%8c%e6%9e%84%e5%bb%ba%e8%87%aa%e7%84%b6%e7%95%8cai%e6%a8%a1%e5%9e%8b%e3%80%81%e4%bb%8e%e6%b0%94%e8%b1%a1%e9%a2%84%e6%b5%8b%e5%bc%80%e5%a7%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/3732.html","title":{"rendered":"Jua raises $16 million to build AI models for the natural world, starting with weather forecasts"},"content":{"rendered":"

Swiss StartupsJua<\/a>Recently announced that it has successfully raised $16 million to build a natural foundationArtificial Intelligence Model<\/a>The first application area will be weather forecasting. This move shows that large-scale AI models are gradually becoming the core of language, vision and audio data that drive the generation of AI services, which has an important impact on the development of AI, similar to the role of operating systems in the development of smartphones.<\/p>\n

\"202308091546512360_0\"<\/p>\n

Source Note: The image is generated by AI, and the image is authorized by Midjourney<\/p>\n

Jua CEO Andreas Brunner said that climate change and geopolitical instability have led to a demand for more accurate modeling and forecasting for organizations working in industrial fields such as energy or agriculture. Jua plans to meet this demand by building large-scale "physical" models, thus opening up new prospects for the application of artificial intelligence in the physical world.<\/p>\n

Although there are already some similar projects, such as Google's GraphCast, Nvidia's FourCastNet, and Huawei's Pangu, Jua claims that its model is superior and has a larger data scale, 20 times that of GraphCast. In addition, Jua emphasizes that weather prediction is only the starting point of its model, and it will involve a wider range of physical problems and challenges in the future.<\/p>\n

While addressing current climate fluctuations, Jua aims to build on nature\u2019sFirst<\/span>The company has not yet launched a basic model that lays the foundation for artificial general intelligence by learning physics.The first<\/span>product, but the funding from investors suggests that their confidence in Jua is more than just a fervent pursuit of the artificial intelligence craze.<\/p>\n

Marvin Gabler, one of Jua\u2019s co-founders and chief technology officer, previously worked as head of research at Q.met, a weather forecasting company, and worked on deep learning technology for the German government. This shows that Jua\u2019s team has a strong technical background and a keen understanding of industry problems and potential solutions.First<\/span>Understanding of hands.<\/p>\n

Jua uses a new approach to build forecast models, not only using traditional weather station data, but also integrating more complex and real-time data such as satellite images and terrain. The company claims that its system has a lower computing cost than traditional systems and uses only one ten-thousandth of the computing resources of traditional systems.<\/p>\n

It is worth noting that Jua's financing comes at a time when basic models are becoming the cornerstone of the development of next-generation artificial intelligence applications. Companies that master and control basic models will have huge value and potential power. In this field, key global companies such as OpenAI, Google, and Microsoft are actively deploying, and Jua is one of them, and it is also attracting much attention in Europe.<\/p>\n

Jua aims to provide accurate insights to multiple industries, including insurance, chemical and energy providers, disaster planning teams, agriculture, airlines, and relief charities, through more comprehensive and larger data models. This effort is not only to address the challenges of climate change today, but also to address broader problems in the physical world in the future. However, similar to the problems faced by other artificial intelligence models, Jua also needs to pay attention to challenges in security, reliability, and other aspects. Jua has already begun to think about these issues, even if they are only in the basic stage at present.<\/p>","protected":false},"excerpt":{"rendered":"

Swiss startup Jua recently announced that it has successfully raised $16 million with the aim of building nature-based AI models, with the primary application area to be weather prediction. This initiative demonstrates that large-scale AI models are becoming central to the linguistic, visual and audio data that drive the generation of AI services, and are having a significant impact on AI development, similar to the role of operating systems in the development of smartphones. Source Note: Image generated by AI, image licensed by Andreas Brenner, CEO of Midjourney Jua, a service provider, said that climate change and geopolitical instability have led to a need for more accurate modeling and forecasting for organizations working in industrial sectors, such as energy or agriculture, etc. Jua plans to meet this need by building large-scale \"physical \" models to meet this<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[1187,599],"collection":[],"class_list":["post-3732","post","type-post","status-publish","format-standard","hentry","category-news","tag-jua","tag-599"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/3732","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=3732"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/3732\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=3732"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=3732"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=3732"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=3732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}