A new Nature study explores how artificial intelligence is transforming infectious disease modeling and prediction. Researchers found that AI-driven approaches can significantly improve outbreak forecasting and pathogen analysis. However, the study emphasizes that continued success depends on increased data transparency and reduced training costs. AI models have shown potential to accelerate epidemiological insights, support public health decision-making, and enhance genomic analysis of pathogens.

Alibaba plans to invest US$53 billion in AI infrastructure over the next three years, making it the largest private computing project of its kind. This investment, which exceeds Alibaba’s total AI spending in the past decade, is more than half of the US’s planned $100 billion Stargate project. The move underscores Alibaba’s focus on AI-driven growth and its position as a leading global cloud provider. CEO Eddie Wu emphasized aggressive investment in AI and cloud computing infrastructure.

AI adoption in broadcasting has accelerated, according to Haivision’s 2025 Broadcast Transformation Report. The survey found 25% of broadcasters are now using AI, up from 9% in 2024. When asked about factors impacting the industry in the next five years, 64% named AI and machine learning. Top perceived AI benefits include efficiency gains, automated translation/captioning, and content creation. Among broadcasters not yet using AI, 41% plan to implement it within 2 years. The report is based on responses from about 900 broadcast and media professionals.

Together AI, backed by Nvidia, has raised $305 million in a funding round led by General Catalyst. This brings the artificial intelligence startup’s valuation to $3.3 billion, more than doubling from last year. The funding will support expansion of Together AI’s cloud platform and deployment of Nvidia’s latest GPUs. The company’s platform allows developers to train and deploy AI models, with over 450,000 users in 2024. Other investors include Salesforce Ventures and Coatue.