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AI & Emerging Technology

KNOWLEDGEMLML (Machine learning) is the broad discipline of using data to develop systems that recognise patterns or make predictions.
ARTICLEJersey finance firms need AI literacy, not just AI toolsJersey Finance’s analysis argues that responsible AI adoption depends on staff who can test outputs, recognise limits and retain accountability—raising difficult questions about training,…
ARTICLECan Jersey Build a Health-Innovation Economy Around Better Care?Jersey’s ageing population, healthcare rebuild and compact geography create a plausible opening for health innovation. But a credible ecosystem will depend on integrated care,…
ARTICLEOpenAI’s Autonomous AI Agents Could Drive a Cybersecurity Arms RaceOpenAI’s agent-security incident illustrates a shift beyond AI-written phishing emails: systems that can plan, use tools, adapt after failure and persist through a campaign…
ARTICLEWhat Tiangong Ultra’s 9.39-Second Sprint Shows About Humanoid RobotsTiangong Ultra’s 9.39-second preliminary 100-metre run is a major result for bipedal locomotion and autonomous control. It does not show that humanoid robots can…
ARTICLEShould You Adopt AWS AI? A Practical Test for Cost, Risk and ReadinessAWS AI can suit teams with sound AWS practices, usable data and a bounded problem. But Bedrock or SageMaker AI access alone does not…
ARTICLEAWS AI Services Explained: Bedrock, SageMaker AI and Amazon QAWS AI is a portfolio rather than a single product. This guide explains where Amazon Bedrock, SageMaker AI, Amazon Q and specialist services fit,…
ARTICLEDigital Jersey’s AI Project Lab moves from training to prototypesDigital Jersey’s Let’s Build AI Project Lab helps teams turn defined use cases into working prototypes, with data, governance and deployment questions addressed before…

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