Pakistan Business News API

{
    "totalArticles": 330564,
    "articles": [
        {
            "id": "3c21534393b33ecd631ba83868b5afb4",
            "title": "IPO shares fall as US government shuts down Fable, Mythos models",
            "description": "A jailbreak report prompted Washington to pull Fable 5 and Mythos 5 from all users. Anthropic complied but pushed back hard, saying the finding sets a standard that would halt the entire AI industry.",
            "content": "The US government ordered Anthropic to shut down its two most capable AI models on Friday, and the pre-IPO market for Anthropic shares sold off immediately.\nThe Anthropic perpetual on Hyperliquid, a cash-settled contract that tracks where traders exp... [2082 chars]",
            "url": "https://www.coindesk.com/markets/2026/06/13/anthropic-s-pre-ipo-shares-fall-as-us-government-shuts-down-its-most-powerful-ai-model",
            "image": "https://cdn.sanity.io/images/s3y3vcno/production/2297ea2e470af647418127b13e7a3275fed8827a-1920x1200.jpg?auto=format&w=960&h=540&crop=focalpoint&fit=clip&q=75&fm=jpg",
            "publishedAt": "2026-06-13T06:03:43Z",
            "lang": "en",
            "source": {
                "id": "f4618b8837368562f9d01fbc250e974b",
                "name": "CoinDesk",
                "url": "https://www.coindesk.com"
            }
        },
        {
            "id": "9fc2b48be2e6c32235c3ba089c424340",
            "title": "China opposes US use of national security to suppress Chinese firms",
            "description": "China is strongly dissatisfied with and firmly opposes the US Department of Defense's move to list several Chinese companies as \"military companies,\" a spokesperson for the Chinese Ministry of Commerce said on Saturday.",
            "content": "China is strongly dissatisfied with and firmly opposes the US Department of Defense's move to list several Chinese companies as \"military companies,\" a spokesperson for the Chinese Ministry of Commerce said on Saturday.\nThe US side disregards the con... [1103 chars]",
            "url": "https://news.cgtn.com/news/2026-06-13/China-opposes-US-use-of-national-security-to-suppress-Chinese-firms-1NW9DB1tFHG/p.html",
            "image": "https://news.cgtn.com/news/2026-06-13/China-opposes-US-use-of-national-security-to-suppress-Chinese-firms-1NW9DB1tFHG/img/7a88f7e1933c4f91898f74add610ebba/7a88f7e1933c4f91898f74add610ebba-1920.png",
            "publishedAt": "2026-06-13T05:42:57Z",
            "lang": "en",
            "source": {
                "id": "83319eaf697a59d2b64031a647c15cb1",
                "name": "news.cgtn.com",
                "url": "https://news.cgtn.com"
            }
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        {
            "id": "1d0e77e02b018858098e1055487e33ab",
            "title": "Calibration-free physics-informed multi-task residual U-Net for simultaneous denoising and gas pressure retrieval from noisy voigt spectra",
            "description": "We present a machine learning framework based on a one-dimensional U-Net (1D U-Net) that simultaneously performs spectral denoising and pressure estimation within a unified architecture. The model is trained on simulated Voigt profiles of the P(21) CO absorption line over pressures ranging from of 1 mbar to 2 bar. To ensure realistic conditions, simulated spectra are superimposed with experimentally captured noise, making them nearly indistinguishable from real experimental scans and forcing the model to recover clean spectra from noisy inputs. Quantitative assessments indicate excellent reconstruction performance, with a Pearson correlation coefficient (PCC) approaching unity, a signal-to-noise ratio (SNR) exceeding 35 dB, and both mean absolute error (MAE) and mean squared error (MSE) remaining close to zero. The model accurately predicts pressures for 200 unseen spectra using only spectral features, bypassing traditional linewidth analysis. At 1.25 bar, the U-Net yields virtually zero error (AE ≈ 0, SE ≈ 0), demonstrating sub-percent deviation and excellent consistency with the simulated reference. Experimental validation on a difference-frequency generation (DFG) spectrometer confirms robust performance, with ≈ 70% of traces reaching a peak SNR (PSNR) above 34 dB. Pressure estimation from ramp-based scans further demonstrates high accuracy, achieving minimal errors at 539.1 mbar (AEP = 0.002, SEP = 4.0 × 10⁻⁶). These findings establish the 1D U-Net as an efficient and reliable alternative to conventional noise-reduction and pressure-estimation techniques, simplifying mid-infrared spectroscopy workflows while ensuring high fidelity and stability.",
            "content": "We present a machine learning framework based on a one-dimensional U-Net (1D U-Net) that simultaneously performs spectral denoising and pressure estimation within a unified architecture. The model is trained on simulated Voigt profiles of the P(21) C... [2326 chars]",
            "url": "https://www.nature.com/articles/s41598-026-57932-1?error=cookies_not_supported&code=9218ef85-31e2-4222-8251-47c3cd235a21",
            "image": "https://www.nature.com/static/images/favicons/nature/favicon-48x48-b52890008c.png",
            "publishedAt": "2026-06-12T23:14:52Z",
            "lang": "en",
            "source": {
                "id": "7abf0df285fbe93cdccffcc7c4088737",
                "name": "Nature",
                "url": "https://www.nature.com"
            }
        }
    ]
}