Adapt and Kinia launch AI courses for teachers

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‘AI for Education’ is a new initiative that will provide teachers with the skills and resources needed to integrate AI into their teaching practices.

AI Literacy in the Classroom

The AI Literacy in the Classroom programme is designed to equip teachers with the knowledge and skills to teach students about AI in a responsible and critical manner. The programme will cover topics such as the history and development of AI, the benefits and limitations of AI technologies, and the potential risks and challenges associated with AI. Key areas of focus for the programme include:

  • Understanding the basics of AI and machine learning
  • Recognizing the potential biases and limitations of AI systems
  • Developing critical thinking skills to evaluate AI technologies
  • Learning how to use AI tools and resources effectively
  • Understanding the ethics of AI and its impact on society

    • The programme will be delivered through a combination of online and face-to-face training sessions, as well as through a range of resources and materials.

    Together, they have created an AI-powered platform that aims to improve the learning experience for students in Ireland.

    Introduction

    The world of artificial intelligence (AI) has been rapidly evolving, and its applications are becoming increasingly prevalent in various aspects of life. From virtual assistants to self-driving cars, AI is transforming the way we live and work. However, despite its many benefits, AI can also be intimidating for those who are new to the concept. This is where the “Experience AI” project comes in – a unique initiative that aims to demystify AI and make it accessible to everyone.

    What is Experience AI? Experience AI is an AI-powered platform developed by the Raspberry Pi Foundation, in collaboration with Kinia, a non-profit organization in Ireland. The platform is designed to provide students with a hands-on experience of AI, allowing them to learn and experiment with AI concepts in a fun and interactive way. The platform is built on top of the Raspberry Pi computer, a popular and affordable single-board computer that is widely used in educational settings. ### Key Features of Experience AI

  • Hands-on learning: Experience AI provides students with a hands-on experience of AI, allowing them to learn and experiment with AI concepts in a fun and interactive way. AI-powered platform: The platform is built on top of the Raspberry Pi computer, making it accessible and affordable for students. Collaboration with Kinia: Experience AI is developed in collaboration with Kinia, a non-profit organization in Ireland that addresses education inequalities using technology.

    Google’s Role in the Development of the Programme

    Google has played a pivotal role in the development of both programmes. The company has provided significant financial and technical support to the initiatives, enabling them to reach a wider audience and achieve their goals. This support has been instrumental in helping the programmes to overcome the challenges they faced in their early stages.

    Technical Support

    Google has provided technical support to both programmes, including access to its vast network of servers and data storage facilities. This has enabled the programmes to process and analyze large amounts of data, which is essential for their operations. Additionally, Google’s technical expertise has been invaluable in helping the programmes to develop and implement their algorithms and models.

    Financial Support

    Google has also provided financial support to both programmes, which has enabled them to hire staff, purchase equipment, and cover operational costs. This financial support has been critical in helping the programmes to achieve their goals and reach a wider audience.

    The Impact of the Programme

    The programmes have had a significant impact on the field of artificial intelligence and machine learning.

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    • The Breakthrough: AlphaFold 2

    The AlphaFold 2 AI model has revolutionized the field of structural biology by predicting the three-dimensional structures of proteins with unprecedented accuracy.

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