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AI & automation, page 2

Putting AI to work safely: automated workflows, assistants grounded in your own content, evaluations, and a person in charge.

The service behind this topic: AI & automation

AI & automation17 min read

AI smart glasses and privacy: what they capture and what the law allows

What AI smart glasses like Ray-Ban Meta capture, how the I-XRAY demo identified strangers, what the law allows, and rules for wearers, bystanders and offices.

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AI & automation18 min read

Deep learning and NLP explained: neural networks, transformers and LLMs

Deep learning trains neural networks of many layers on data. How they learn, why they took off in 2012, and how NLP went from rules to transformers and LLMs.

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Security17 min read

The future of cybersecurity: predicting which vulnerabilities to patch first

How to predict which vulnerabilities attackers will use and patch in the right order, with CVSS 4.0, EPSS, CISA's KEV catalogue and SSVC.

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Security20 min read

The dual role of AI in cybersecurity: how attackers use it and what stops them

How attackers use AI for phishing, deepfake fraud, malware and exploits, what 2025 and 2026 threat reports show, and the defence that answers each one.

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AI & automation15 min read

AI for climate research: weather forecasts, climate models and their limits

How AI is used in climate research: machine learning weather forecasts, climate emulators, downscaling, methane detection, and what the models still rely on.

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AI & automation18 min read

AI assistants in 2026: what they can do and what they cost in privacy

What ChatGPT, Gemini, Claude, Copilot, Siri and Alexa+ can do in 2026, where their agents stop and ask, and the privacy settings worth checking.

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IT support15 min read

iPhone 16 explained: the lineup, Apple Intelligence and how long it is supported

What the iPhone 16 lineup introduced in 2024, how Apple Intelligence reached it, how it compares with iPhone 17, and how long Apple will keep it updated.

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AI & automation14 min read

The future of AI in computer science: programming, research and careers

How AI is changing computer science as of 2026: coding agents, what controlled studies measured, new research directions and what it means for careers.

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AI & automation14 min read

AI that learns by thinking: how models learn without new data

Learning by thinking means gaining knowledge by explaining, simulating, comparing and reasoning, with no new data. How AI models do it, and where it fails.

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AI & automation13 min read

AI-generated data for robotics: how synthetic data trains robots

AI-generated robot training data comes from simulators and generative models. How it is made, how teams measure the sim-to-real gap, and where it fails.

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