In line with Plenipotentiary Resolution 154, which instructs the Directors of the Bureaux to report on the use of innovative translation technologies, and considering the specific needs of the Telecommunication Sector, especially the need for the translation of technical meeting documents that are seldom translated by the ITU translation services due to budget limitations, TSB has developed, in collaboration with C&P, an open-source, royalty-free neural machine translation tool, called ITU-Translate, and has trained it with ITU documents. Efforts have also been done to integrate website translation based on external machine translation services.
The market offers several cloud-based machine translation tools. These tools have limitations when it comes to the translation of ITU’s technical content, but which are applicable to general language expression. The project identifies and applies the best tools available per language pair for the translation of general-language webpages that are currently not translated.
C&P and TSB are thus addressing Resolution 154 with the implementation of high-quality gist translation services and enhanced computer-aided-translation (CAT) tools that will complement the scope of the work currently covered by C&P’s human translation service.
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By the year 2050, the global population is on track to reach 9.7 billion people.
Some estimates show that to meet such growing food demand, global food production needs to grow by 70% in the next few decades, all while the agriculture sector faces several challenges.
These circumstances highlight the importance of (and challenges related to) achieving zero hunger by 2030. Fortunately, digital technologies can help us to improve the management of agricultural production processes and achieve food security.
To address the core challenges and opportunities within the agricultural sector, the Focus Group on Artificial Intelligence (AI) and Internet of Things (IoT) for Digital Agriculture (FG-AI4A), will explore the potential of emerging technologies including AI and IoT in supporting data acquisition and handling, improving modelling from a growing volume of agricultural and geospatial data, and providing effective communication for interventions related to the optimization of agricultural production processes. The Focus Group will also examine key concepts, and relevant gaps in current standardization landscape related to agriculture, and will underscore the best practices and barriers related to the use of AI and IoT-based technologies within this domain.
To achieve these objectives, FG-AI4A will cooperate closely with FAO converging multiple stakeholders and experts from across the globe, serving as an open platform to explore the potential of AI and IoT to support innovative practices for agricultural production processes.