SAS and NC State Launch AI Research Partnership

Oct 2, 2026
The SAS Think & Do Tank will apply data and AI to research in human health, nutrition and environmental resilience.

SAS and NC State launched the SAS Think & Do Tank, a research partnership focused on human health, nutrition and environmental resilience, the organizations announced in a press release. The two year pilot will integrate SAS software and technical expertise into research through NC State's College of Agriculture and Life Sciences.

One of the first projects will study translational predictive biology, which combines biological models, data and AI to predict how diseases and possible treatments may behave in humans. Researchers will connect studies in living systems with lab models such as organoids and organ chips.

The teams will explore statistical and AI methods for datasets that contain detailed information from relatively few biological subjects. The models will account for biological relationships, quantify uncertainty and provide explanations for their conclusions. SAS will also provide guidance on data practices and AI governance to participating faculty and students.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.