contentSlug

type

ContentSlug_ContentQuery

slug

ContentPageContentQuery

content

trendingContent

query ContentSlug_ContentQuery(
  $contentSlug: String!
  $type: [ContentType!]
) {
  ...ContentPageContentQuery_13QmVO
}

fragment CompanyDetails_Content on Content {
  __isContent: __typename
  companies {
    name
    description
    pageUrl
    id
  }
}

fragment CompanyTagList on Company {
  pageUrl
  name
  viewerIsFollowing
}

fragment ContentBasicInfo on Content {
  __isContent: __typename
  id
  type
  title
  lang
  companies {
    ...CompanyTagList
    id
  }
  ...PublishingDetails
  ...Reactions
}

fragment ContentMetadata on Content {
  __isContent: __typename
  type
  title
  lang
  pageUrl
  alternatePageUrls {
    pageUrl
    lang
  }
  imgUrl
  description
  ... on Video {
    liveTime
    videoUrl
  }
  ... on Webcast {
    liveTime
    videoUrl
  }
}

fragment ContentPageContentQuery_13QmVO on Query {
  content(slug: $contentSlug, type: $type) {
    __typename
    id
    type
    title
    isPremium
    lang
    htmlBody
    companies {
      forum {
        latestPosts {
          ...ForumPosts
        }
      }
      defaultInstrument {
        isin
        id
      }
      id
    }
    slug
    ... on CompanyReport {
      reportUrl
    }
    ... on ThirdPartyCompanyReport {
      reportUrl
    }
    ... on StockExchangeRelease {
      reportUrl
    }
    ...ContentBasicInfo
    ...ContentMetadata
    ...PriceAndRecommendation_Content
    ...CompanyDetails_Content
    ...ReportLink_Content
    ...KeyFigures_Content
  }
  ...TrendingContent_1jQ2Cn
}

fragment ForumPosts on ForumPost {
  text
  likesCount
  url
  author
  postedAt
  authorImgUrl
}

fragment KeyFigures_Content on Content {
  __isContent: __typename
  companies {
    defaultInstrument {
      estimateData {
        modelType
        reportingCurrency
      }
      snapshot {
        transaction {
          date
          actualized {
            year
            quarter
            revenue
            revenueGrowth
            ebitAdjusted
            ebitReported
            ebitda
            enterpriseValue
            epsAdjusted
            dividend
            dividendYield
            sharePrice
          }
          estimates {
            year
            quarter
            revenue
            revenueGrowth
            ebitAdjusted
            ebitReported
            ebitda
            enterpriseValue
            epsAdjusted
            dividend
            dividendYield
            sharePrice
          }
        }
      }
      id
    }
    id
  }
}

fragment PriceAndRecommendation_Content on Content {
  __isContent: __typename
  createdAt
  companies {
    id
    name
    viewerIsFollowing
    defaultInstrument {
      snapshot {
        priceData {
          date
          lastPrice
          tradeCurrency
        }
        transaction {
          date
          recommendation
          targetPrice
        }
        prevTransaction {
          recommendation
        }
      }
      id
    }
  }
}

fragment PublishingDetails on Content {
  __isContent: __typename
  createdAt
  publishers {
    name
    imgUrl
  }
  authors {
    __typename
    id
    name
    slug
    imgUrl
    jobTitle
  }
  ... on Video {
    liveTime
  }
  ... on Webcast {
    liveTime
  }
}

fragment Reactions on Content {
  __isContent: __typename
  id
  reactionGroups {
    reactionType
    reactionsCount
    viewerReacted
  }
}

fragment ReportLink_Content on Content {
  __isContent: __typename
  type
  isPremium
  ... on CompanyReport {
    reportUrl
  }
  ... on ThirdPartyCompanyReport {
    reportUrl
  }
  ... on StockExchangeRelease {
    reportUrl
  }
}

fragment TrendingContent_1jQ2Cn on Query {
  trendingContent(type: ARTICLE) {
    __typename
    id
    title
    lang
    pageUrl
    createdAt
    type
    imgUrl
    companies {
      squareLogoUrl
      id
    }
    authors {
      __typename
      imgUrl
      id
    }
    publishers {
      imgUrl
    }
  }
}


us-clean-energy-fund-awards-fom-technologies-a-grant-for-ai-and-machine-learning-development-of-fom-equipment

__typename

title

isPremium

lang

htmlBody

companies

createdAt

publishers

authors

reactionGroups

pageUrl

alternatePageUrls

imgUrl

description

FOM Technologies is a company specializing in slot-die coating machines and equipment. The company produces cutting-edge slot-die machines and equipment which enable researchers, scientists, and professionals to discover, develop, and commercialize functional materials and thin-film materials. Core applications include Solar, Batteries, and Power-to-X. The company also supplies service lifecycle management, support, and training for the use of the machines. The company serves customers globally.

FOM Technologies

16.9.2024 06:30:00 CEST | FOM Technologies | Investor NewsInvestor news no. 43 – 2024 |Copenhagen, the 16th of September 2024Washington State's Clean Energy Fund (WS CEF) have awarded a consortium...

16.9.2024 06:30:00 CEST | FOM Technologies | Investor NewsInvestor news no. 43 – 2024 |Copenhagen, the 16th of September 2024Washington State's Clean Energy Fund (WS CEF) have awarded a consortium consisting of University of Washington (UoW), Argonne National Laboratory (ANL) and FOM Technologies funding for development of artificial intelligence and machine learning (AI/ML). The technical program brings together the manufacturing tool design and commercialization experience of FOM Technologies Inc. with the two national research institutions’ insight to device research, artificial intelligence and machine learning (AI/ML) for manufacturing capabilities.&nbsp;The core of FOM’s business is the commercialization of advanced energy device manufacturing tools and this project will bring new capabilities to FOM’s product offerings and allow FOM to rapidly be adapted to manufacturing applications in batteries, fuel cells and thin film solar.President of FOM Technologies Inc. Martin Kiener states: “We are very proud to be selected to obtain funding for AI and ML development in collaboration with two very prestigious partners. FOM already has a history of collaboration with ANL and in particular the University of Washington on coating in application of battery development. Together, we hope to use these research funds to develop AI based software to support the growing battery and energy device manufacturing sector in Washington State and thus support the growth of FOM Technologies' business in the US." The R/D project is expected to start in Q4 2024.This investor news will not change the 2024 financial guidance for revenue and EBITDA. ---//--- CONTACT INFORMATION: Selskab/Company: FOM Technologies A/S CEO Michael Stadi Phone: +45 20 66 60 44 E-mail: <a href="mailto:ms@fomtechnologies.com">ms@fomtechnologies.com</a> www.fomtechnologies.com Certified Advisor: Norden CEF A/S John Norden Phone: +45 20 72 02 00 E-mail: jn@nordencef.dk www.nordencef.dk Kommunikation/Communication: Gullev &amp; Co. ApS Boris Gullev Phone: +45 31 39 79 99 E-mail: <a href="mailto:borisgullev@gmail.com">borisgullev@gmail.com</a> <a href="http://www.gullev.co">www.gullev.co</a> ---//--- <h4>Attachments</h4><ul> <li> <a href="https://via.ritzau.dk/ir-files/13559885/14037238/14061/Download%20announcement%20as%20PDF.pdf">Download announcement as PDF.pdf</a> </li></ul>

US Clean Energy Fund awards FOM Technologies a grant for AI and machine learning development of FOM equipment.

Attachments

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