Singapore News API

{
    "totalArticles": 147906,
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        {
            "id": "534b656797b4ef020a7ca963f98f8741",
            "title": "AMD shipped Nvidia's new AI laptop over a year ago, and the software is finally catching up",
            "description": "Nvidia's RTX Spark is competing in a space that AMD kickstarted over a year ago.",
            "content": "Following Nvidia's reveal of its RTX Spark laptops, I attended an AMD and HP roundtable at Computex. A fellow reporter asked Rahul Tikoo of AMD and Jim Nottingham of HP, two Vice Presidents at their respective companies, whether they welcomed the new... [12273 chars]",
            "url": "https://www.xda-developers.com/amd-shipped-nvidia-new-ai-laptop-year-ago-software-catching-up/",
            "image": "https://static0.xdaimages.com/wordpress/wp-content/uploads/wm/2025/09/bosgame-m5-ryzen-strix-halo.jpg?w=1600&h=900&fit=crop",
            "publishedAt": "2026-06-06T23:01:22Z",
            "lang": "en",
            "source": {
                "id": "8d8068452078b0860071d03888ae3c84",
                "name": "XDA",
                "url": "https://www.xda-developers.com"
            }
        },
        {
            "id": "7d74a9510d83e8d5e2a464c4ea04984c",
            "title": "This Lizard Is a Better Swimmer Than You Might Think",
            "description": "Florida is home to a wide variety of lizard species, many of which live within urban environments. Locals and tourists often see both small and large lizards at places like pools or beaches. Larger li...",
            "content": "The post This Lizard Is a Better Swimmer Than You Might Think appeared first on A-Z Animals.\nFlorida is home to a wide variety of lizard species, many of which live within urban environments. Locals and tourists often see both small and large lizards... [1788 chars]",
            "url": "https://sg.style.yahoo.com/lizard-better-swimmer-might-think-153447399.html",
            "image": "https://s.yimg.com/ny/api/res/1.2/BUxiSno4OX1RJ9W6HsEGtg--/YXBwaWQ9aGlnaGxhbmRlcjt3PTEyMDA7aD02NzU7Y2Y9d2VicA--/https://media.zenfs.com/en/a_z_animals_articles_598/7601f283b7c9f89e1f2d615c4baf4a90",
            "publishedAt": "2026-06-06T15:34:47Z",
            "lang": "en",
            "source": {
                "id": "1f9f3feca513add6344e5bdfcedf8cf6",
                "name": "Yahoo Lifestyle Singapore",
                "url": "https://sg.style.yahoo.com"
            }
        },
        {
            "id": "bd4af9255ec428933be9df803117c79f",
            "title": "Human-AI co-design for clinical prediction models",
            "description": "Developing safe, effective, and practically useful clinical prediction models (CPMs) traditionally requires extensive collaboration between clinical experts, data scientists, and informaticists to refine the many small but critical details of the model building process. When incorporating unstructured clinical notes, this challenge magnifies, as notes essentially contain an infinite number of concepts that can be used for modeling. We introduce HACHI, an iterative human-in-the-loop framework that uses AI agents to accelerate the development of fully interpretable CPMs from clinical notes, where CPMs are defined as linear models of yes-no questions. HACHI alternates between an AI agent that uses statistical tools and embedded knowledge to explore candidate concepts and domain experts who provide feedback to the AI agent. The framework optimizes for transparency, steerability, and reciprocal learning to ensure effective collaboration between the clinical AI team and the AI agent. In two real-world prediction tasks (acute kidney injury and traumatic brain injury), HACHI outperforms existing approaches, discovers clinically relevant concepts, and improves model generalizability across clinical sites and time periods. HACHI also highlights the critical role of human oversight, such as in directing the AI agent to explore new concept categories, adjusting concept granularity, and identifying data bias and leakage.",
            "content": "J.F. and P.V. were supported through a Patient-Centered Outcomes Research Institute® (PCORI) Award (ME-2022C1-25619), A.B. was supported by National Institute of General Medical Sciences of the National Institutes of Health (K23GM151611), and A.Kornb... [2507 chars]",
            "url": "https://www.nature.com/articles/s41746-026-02838-5?error=cookies_not_supported&code=3c36c5a3-6d0e-48a4-b412-33e7a0018e9a",
            "image": "https://www.nature.com/static/images/favicons/nature/favicon-48x48-b52890008c.png",
            "publishedAt": "2026-06-06T14:50:03Z",
            "lang": "en",
            "source": {
                "id": "7abf0df285fbe93cdccffcc7c4088737",
                "name": "Nature",
                "url": "https://www.nature.com"
            }
        }
    ]
}