Tag: CNN
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Tanzania slams CNN over unbalanced election violence report
Tanzania asserts CNN report needs verification and balance The Tanzanian government has confirmed that it is still verifying a CNN investigative report about violence surrounding the October 29 elections, and authorities say a comprehensive official statement will be released once the verification process concludes. The Chief Government Spokesperson emphasized that Tanzania is not rushing to…
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Tanzania challenges CNN over alleged bias in election-violence coverage
Overview of Tanzania’s response to CNN’s report The Tanzanian government has announced that it is still verifying a CNN investigative report on violence that occurred during and after the October 29 elections. While the process continues, officials have promised a comprehensive official statement once verification is complete, signaling a broader dispute over how the events…
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Tanzania Responds to CNN Election Violence Report: Verification Ongoing and Official Statement Pending
Introduction: Tanzania Addresses CNN Investigation Authorities in Tanzania have publicly addressed the international media spotlight cast on violence that occurred during and after the October 29 elections. The government confirmed that verification of CNN’s investigative report is still in progress and cautioned that a comprehensive official response will be released once the process is complete.…
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Perplexity Comet: AI Browser Could Cut Hiring Needs
Perplexity’s Comet: A New AI Personal Assistant for the Workforce Perplexity AI has expanded its reach with Comet, an autonomous personal assistant embedded in a browser that aims to boost productivity across organizations. After making Comet free for all users, the company is pushing the tool as a way for businesses to rethink hiring and…
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Deep Learning in Dermatoscopy for Basal Cell Carcinoma Diagnosis: A Systematic Review and Meta-Analysis
Introduction Basal cell carcinoma (BCC) is the world’s most common nonmelanoma skin cancer, with incidence on the rise and significant implications for patients’ cosmetic outcomes and healthcare systems. Dermatoscopy enhances lesion visualization, but diagnostic accuracy can vary among observers. In recent years, deep learning (DL) algorithms trained on dermatoscopic images have emerged as a promising,…
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Deep Learning in Dermatoscopy for Basal Cell Carcinoma: A Systematic Review and Meta-Analysis
Introduction Basal cell carcinoma (BCC) is the most common skin cancer worldwide, responsible for up to 80% of nonmelanoma cases. Early and accurate diagnosis is essential to minimize local invasion, cosmetic damage, and healthcare burden. Dermatoscopy is a noninvasive imaging tool that enhances visualization of subsurface skin structures, improving lesion assessment. Yet, variability among observers…