Boards and C-suites are adopting new governance practices to address energy constraints and operating and cyber risks to ...

The recent COVID-19 pandemic has underscored the critical need for efficient data exchange among institutions to effectively respond to health emergencies and combat global health threats. While the ...

Responsible AI is an investment in long-term sustainability. The absence of governance can lead to model drift, eroding ...

Uptime Institute predicts the data center industry in 2025 will face pressure over resource consumption, grid integration challenges, and AI infrastructure requirements. Data centers this year will ...

Data is often called the lifeblood of modern healthcare. As the industry evolves, its ability to harness and act on data effectively will distinguish the innovators from the status quo. Today, ...

Suebsiri Taweepon of Tilleke & Gibbins highlights a critical issue in Thailand’s copyright regime while examining the legal uncertainties, licensing burdens, and data-scraping risks in AI development ...

As artificial intelligence revolutionizes manufacturing, adoption of the technology is still hindered by challenges like data quality, legacy infrastructure and workforce adaptation. Advances in ...

A.T. Kingsmith does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...