Storys zum Thema Klimaveränderung

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  • 01.06.2023 – 15:19

    nShift

    nShift to enable businesses to track shipment greenhouse gas emissions

    London (ots/PRNewswire) - nShift Emissions Tracker will help retailers, ecommerce businesses, and warehouses, to comply with CSRD regulations nShift, the global leader in parcel delivery management and shipment software, today announces Emissions Tracker. The new solution helps ecommerce companies and warehouses calculate, record, and analyze greenhouse gas emissions ...

  • 16.05.2023 – 08:30

    Swissmem

    Technology industry: subdued outlook for 2023

    Zurich (ots) - The business situation in the Swiss technology industry (mechanical and electrical engineering industries and related technology sectors) is currently still good. Both sales (+4.9%) and exports (+2.8%) rose in the first quarter of 2023 compared with the previous year. However, the decline in new orders in the first quarter (-4.8%) and the low worldwide Purchasing Managers' Index (PMI) indicate considerably ...

  • 05.05.2023 – 17:00

    SIFEM AG

    Close to USD 100m of new investment commitments by SIFEM in 2022

    Bern (ots) - In 2022, the Swiss Investment Fund for Emerging Markets (SIFEM) committed a total of USD 95 million to seven new investments and concluded the year with a negative operating result of minus CHF 13.1 million. The seven new investments will contribute directly to the achievements of SIFEM's development goals, especially in terms of job creation, climate ...

  • 24.04.2023 – 08:00

    Schweizerischer Nationalfonds / Fonds national suisse

    Our movements predict our electricity needs

    Bern (ots) - Artificial intelligence can predict electricity grid loads from road and rail usage data. To satisfy demand and manage consumption peaks, electricity suppliers have to be able to predict grid loads. A team of scientists from Zurich University of Applied Sciences funded by the Swiss National Science Foundation (SNSF) has developed an artificial intelligence system capable of accurately anticipating grid loads ...