Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex ...

Ali Shiri discusses how large language models are impacting research for academics and university stakeholders.

Expert perspectives on the risks of trusting AI, its fallibility, and why agentic AI may be advancing faster than we can ...

In today’s age, where businesses generate more data than ever before, the challenge is no longer just collecting infor ...

The urgency of addressing climate change, habitat destruction, and biodiversity loss has increased the need for innovative technologies to explore, monitor, ...

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

The transformation of provider lifecycle management through AI and automation represents more than just technological ...

Learn more about how Microsoft Sentinel data lake accelerates AI adoption, empowering teams to detect and respond faster ...

Clinical trials remain the cornerstone of evidence-based medicine, yet they are frequently protracted and costly. More often than commonly thought, clinical trials are also uninformative.1 Artificial ...