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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · Towards AI English(EN) ·

    Gene Expression and Network Analysis of COVID-19–Associated Thrombosis Using the DICE Algorithm

    Researchers utilized the DICE algorithm to analyze gene expression data from COVID-19 patients with thrombotic complications, comparing them to healthy controls. The study aimed to identify differentially expressed genes, key regulatory genes within protein-protein interaction networks, and relevant biological pathways. This approach seeks to uncover regulatory genes and network hubs that might be missed by traditional differential expression analysis alone. AI

    Gene Expression and Network Analysis of COVID-19–Associated Thrombosis Using the DICE Algorithm

    IMPACT This research may lead to a better understanding of the biological mechanisms behind COVID-19 related thrombosis, potentially informing future diagnostic or therapeutic strategies.

  2. COMMENTARY · LessWrong (AI tag) English(EN) ·

    A political movement will save us from extinction

    A political movement is necessary to navigate the existential risks posed by rapidly advancing superintelligence, according to an AI safety advocate. The author argues that current political structures are ill-equipped to handle the speed of AI development, citing governmental responses to COVID-19 as an example. They propose that a broad, democratized movement, drawing parallels to historical civil rights efforts, can unite diverse political factions to ensure AI benefits humanity. AI

    IMPACT Argues for a political movement to address AI risks, potentially influencing future AI policy and regulation.

  3. TOOL · arXiv cs.AI English(EN) ·

    A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery

    Researchers have conducted a comprehensive comparison of various deep learning architectures for classifying COVID-19 from CT and X-ray lung imagery. The study utilized pre-trained models including VGG, Densenet, Resnet, MobileNet, Xception, EfficientNet, and NasNet. Results indicated that Resnet and VGG architectures achieved high accuracy, between 95% and 98%, in differentiating COVID-19 positive cases from healthy lungs, outperforming previous literature findings. AI

    IMPACT Demonstrates high accuracy of deep learning models in medical image analysis, potentially improving diagnostic speed and accuracy for infectious diseases.

  4. TOOL · arXiv cs.LG English(EN) ·

    Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting

    Researchers have developed a new framework called STOEP (Spatio-Temporal priOr-aware Epidemic Predictor) to improve epidemic forecasting. This hybrid model integrates implicit and explicit prior knowledge to enhance accuracy, particularly for weak epidemic signals and complex spatial relationships. Experiments show STOEP outperforms existing methods by over 11% in RMSE and has been deployed by a provincial CDC in China for practical public health applications. AI

    IMPACT Enhances public health response capabilities through more accurate epidemic prediction.

  5. COMMENTARY · SCMP — Tech English(EN) · · [2 sources]

    Not even a quick end to Iran war can save AI stock bubble now

    The current AI stock market bubble is at risk of bursting due to rising global inflation, exacerbated by the Iran war's impact on oil and fertilizer supplies. This inflationary pressure is expected to drain liquidity from financial markets, potentially leading to a significant increase in bond yields. The article suggests that this scenario could mirror past financial crises, where central bank interventions like quantitative easing inflated asset bubbles. AI

    Not even a quick end to Iran war can save AI stock bubble now

    IMPACT The AI stock market faces significant risk from geopolitical inflation, potentially leading to a bubble burst and broader financial instability.

  6. COMMENTARY · Forbes — Innovation English(EN) ·

    Deaths, Burned Clinics - What’s Different About Ebola’s 2026 Return?

    The 2014 Ebola outbreak exposed significant global vulnerabilities in pandemic preparedness, including delayed responses, fragile healthcare systems, and inadequate bio-defense. Despite scientific advancements like effective vaccines and therapeutics for certain strains, the world remains largely reactive rather than proactive in addressing biological crises. Current outbreaks, such as the one involving the Bundibugyo strain, highlight the continued reliance on early detection, isolation, and international coordination due to the lack of specific treatments for all variants. AI

    Deaths, Burned Clinics - What’s Different About Ebola’s 2026 Return?
  7. RESEARCH · arXiv cs.AI English(EN) · · [2 sources]

    Is Capability a Liability? More Capable Language Models Make Worse Forecasts When It Matters Most

    A new research paper introduces ForecastBench-Sim (FBSim), a benchmark designed to evaluate language models on forecasting tasks with superlinear growth and regime change risks. The study found that more capable language models, including Llama-3.1, tend to produce worse distributional forecasts on these specific types of problems. This inverse scaling effect, where increased capability leads to decreased accuracy in certain scenarios, was observed across simulated epidemics and real-world data from finance and public health. AI

    IMPACT Highlights a potential limitation in LLM forecasting capabilities, suggesting current evaluation metrics may mask performance issues in high-risk scenarios.

  8. TOOL · arXiv stat.ML English(EN) · · [2 sources]

    Targeted maximum likelihood estimation of vaccine effectiveness and immune correlates in test-negative design studies with missing data

    Researchers have developed a new targeted maximum likelihood estimation (TMLE) approach for analyzing test-negative design (TND) studies, particularly those with missing data in exposure variables. This semiparametric logistic regression model aims to provide efficient and valid causal inference for vaccine effectiveness and immune correlates. The method was evaluated using simulations and applied to assess COVID-19 vaccine effectiveness using data from the Moderna Coronavirus Efficacy phase 3 trial. AI

    IMPACT Introduces a novel statistical method for analyzing observational health studies, potentially improving the accuracy of vaccine effectiveness and immune correlate assessments.

  9. RESEARCH · Hugging Face Daily Papers English(EN) · · [2 sources]

    Pixel Wised Lesion Prediction on COVID-19 CT Imagery: A Comparative Analysis of Automated Image Segmentation Architectures

    Researchers have evaluated deep learning architectures for predicting COVID-19 lesions in CT scans, addressing the lack of standardized performance analysis in medical image segmentation. The study integrated four segmentation frameworks (Unet, PSPNet, Linknet, FPN) with six pre-trained encoders to create diverse testing architectures. Analysis across three COVID-19 CT datasets showed high precision, with a maximum F1-Score of 98% for binary segmentation and scores of 75% and 77% for multi-class segmentation, demonstrating AI's enhancement of pandemic disease diagnostics. AI

    IMPACT Demonstrates improved diagnostic accuracy for pandemic diseases through AI-driven medical image analysis.

  10. RESEARCH · Hugging Face Daily Papers English(EN) · · [3 sources]

    Entropy-Guided Self-Supervised Learning for Medical Image Classification

    Researchers have developed a new deep learning framework for medical image classification that combines self-supervised and transfer learning techniques. The approach utilizes two ConvNeXt-Tiny models, one pre-trained on ImageNet and another using an entropy-guided Masked Autoencoder on medical data. An ensemble strategy averaging probabilities from both models achieved state-of-the-art results across four medical imaging datasets, outperforming individual models and existing methods. AI

    IMPACT Enhances medical image classification accuracy by combining diverse pre-training strategies for improved disease diagnosis.

  11. TOOL · Google DeepMind English(EN) ·

    Finding the molecular switches behind new infectious diseases

    Google DeepMind's Co-Scientist AI tool is accelerating biological research by identifying potential molecular switches for infectious diseases. Professor Clare Bryant is using Co-Scientist to rapidly generate and refine hypotheses about how pathogens like flu and sepsis jump from animals to humans. The AI has helped pinpoint specific proteins and amino acids, significantly speeding up the experimental process for Bryant's team, potentially reducing years of work to months. AI

    Finding the molecular switches behind new infectious diseases

    IMPACT Accelerates biological research by rapidly identifying disease targets, potentially saving years of experimental work.

  12. RESEARCH · SCMP — Tech English(EN) · · [11 sources]

    Africa confirms fatal Ebola outbreak in Congo, urgent cross-border meeting called

    The World Health Organization has declared an Ebola outbreak in the Democratic Republic of Congo and Uganda a public health emergency of international concern. This rare Bundibugyo strain of the virus has no approved vaccines or treatments, leading to a high mortality rate and complicating containment efforts. The outbreak was detected late, with cases already spreading across regions and into neighboring Uganda, raising concerns about its rapid scale and speed. AI

    Africa confirms fatal Ebola outbreak in Congo, urgent cross-border meeting called
  13. COMMENTARY · Fortune English(EN) · · [14 sources]

    Current price of oil as of May 5, 2026

    Oil prices have fluctuated in early May 2026, with Brent crude trading around $100-$112 per barrel. The price is significantly higher than a year ago, reflecting global supply and demand dynamics, geopolitical events, and economic conditions. The article also details how crude oil prices influence gasoline prices at the pump, the role of the U.S. Strategic Petroleum Reserve in stabilizing markets, and the interconnectedness of oil and natural gas pricing. AI

    Current price of oil as of May 5, 2026