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Amazon Nova Act: A step towards smarter, web-native AI agents

Amazon has introduced Nova Act, an advanced AI model engineered for smarter agents that can execute tasks within web browsers. While large language models popularised the concept of “agents” as tools that answer queries or retrieve information via methods such as Retrieval-Augmented Generation (RAG), Amazon envisions something more robust. The company defines agents not just

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How debugging and data lineage techniques can protect Gen AI investments

As the adoption of AI accelerates, organisations may overlook the importance of securing their Gen AI products. Companies must validate and secure the underlying large language models (LLMs) to prevent malicious actors from exploiting these technologies. Furthermore, AI itself should be able to recognise when it is being used for criminal purposes. Enhanced observability and

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Dame Wendy Hall, AI Council: Shaping AI with ethics, diversity and innovation

Dame Wendy Hall is a pioneering force in AI and computer science. As a renowned ethical AI speaker and one of the leading voices in technology, she has dedicated her career to shaping the ethical, technical and societal dimensions of emerging technologies. She is the co-founder of the Web Science Research Initiative, an AI Council

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WAIE 2025: With four focus areas – booth reservations now open

The 6th Global Digital Economy Industry Conference 2025 & World AI Industry Exhibition (WAIE) is scheduled from July 30 to August 1 at Shenzhen (Futian) Convention and Exhibition Centre. The event presents an opportunity for manufacturers to find industry partners and collaboration opportunities, and secure domestic and international orders. The Greater Bay Area has a

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Anthropic provides insights into the ‘AI biology’ of Claude

Anthropic has provided a more detailed look into the complex inner workings of their advanced language model, Claude. This work aims to demystify how these sophisticated AI systems process information, learn strategies, and ultimately generate human-like text. As the researchers initially highlighted, the internal processes of these models can be remarkably opaque, with their problem-solving

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