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Ireland Technology News API
Get the live top technology headlines from Ireland with our JSON API.
Get API key for the Ireland Technology News APIAPI Demonstration
This example demonstrates the HTTP request to make and the JSON response you will receive when you use the news api to get the top headlines from Ireland.
GET
https://gnews.io/api/v4/top-headlines?country=ie&category=technology&apikey=API_KEY
{
"totalArticles": 285836,
"articles": [
{
"id": "91e52c0b7dadb0c7203e5cf80d397ae8",
"title": "Ban for authors submitting AI content ‘welcome but unenforceable’",
"description": "Research integrity experts commend arXiv’s crackdown on bogus AI-written citations but warn it may be impossible to police at scale",
"content": "A major scientific repository’s decision to ban authors whose work contains “hallucinated” references written by generative artificial intelligence (AI) has been welcomed by research integrity campaigners despite concerns about how the policy can be ... [5204 chars]",
"url": "https://www.timeshighereducation.com/news/ban-authors-submitting-ai-content-welcome-unenforceable",
"image": "https://www.timeshighereducation.com/sites/default/files/styles/the_breaking_news_image_style/public/istock-145156604.jpg?itok=nRLBirgA",
"publishedAt": "2026-05-19T23:01:00Z",
"lang": "en",
"source": {
"id": "69e63d480c5e672a27327db939832686",
"name": "Times Higher Education",
"url": "https://www.timeshighereducation.com"
}
},
{
"id": "e9d234568e9c13db98d46df2c080a896",
"title": "Samaritans supported 1,200 people at festivals last year",
"description": "1,200 people attending festivals and events last year were supported by the Samaritans on location.",
"content": "1,200 people attending festivals and events last year were supported by the Samaritans on location.\nThe volunteer-led organisation helped people cope with mental health, loneliness and isolation as part of its outreach work at live events in 2025.\nTh... [2014 chars]",
"url": "https://www.rte.ie/news/2026/0520/1574215-festivals-samaritans-support/",
"image": "https://www.rte.ie/images/00246469-1600.jpg",
"publishedAt": "2026-05-19T23:00:00Z",
"lang": "en",
"source": {
"id": "8bcb1c163b5eb62b4cdfdafb99503799",
"name": "RTE.ie",
"url": "https://www.rte.ie"
}
},
{
"id": "abc2bc7cce6c56febe6df709594c7b60",
"title": "Accelerating scientific discovery with Co-Scientist",
"description": "Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation. To augment this process, we introduce Co-Scientist, a multi-agent AI system built on Gemini for structured scientific thinking and hypothesis generation. Co-Scientist aims to help scientists discover new original knowledge. Conditioned on their research objectives and prior scientific evidence, it formulates demonstrably novel research hypotheses for experimental verification. The system’s design involves agents continuously generating, critiquing and refining hypotheses accelerated by scaling test-time compute. Key contributions include: (1) a multi-agent architecture with an asynchronous task execution framework for flexible compute scaling; (2) a tournament evolution process for self-improving hypotheses generation. Automated evaluations show continued benefits of test-time compute scaling, improving hypothesis quality over time. While general purpose, we focus the validation in three biomedical applications: drug repurposing, novel target discovery 1, and explaining mechanisms of anti-microbial resistance 2. Specifically, Co-Scientist helped identify new drug repurposing candidates and synergistic combination therapies for acute myeloid leukemia, which were validated through in vitro experiments. These real-world validations demonstrate the potential of Co-Scientist to accelerate scientific discovery and usher in an era of AI empowered scientists.",
"content": "Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation. To augment this process, we introduce Co-Scientist, a multi-agent AI system built on Gemini for structured sc... [1264 chars]",
"url": "https://www.nature.com/articles/s41586-026-10644-y?error=cookies_not_supported&code=0542f464-b183-4cd2-b76a-b6477514bbca",
"image": "https://www.nature.com/static/images/favicons/nature/favicon-48x48-b52890008c.png",
"publishedAt": "2026-05-19T21:14:55Z",
"lang": "en",
"source": {
"id": "7abf0df285fbe93cdccffcc7c4088737",
"name": "Nature",
"url": "https://www.nature.com"
}
}
]
}