University of Maryland and Axis Research to Build AI-Powered Surgical Performance Center
The University of Maryland, Baltimore and Axis Research & Technologies have announced a joint venture to create the nation's first AI-powered smart surgical performance center, according to a press release.
The 36,000-square-foot facility, powered by the University of Maryland School of Medicine and Axis, will combine academic and industry expertise to advance surgical training, performance, and patient care. It will feature integrated cadaveric and model training spaces, immersive simulation suites, and the OMNIMED SmartOR platform—an AI-enabled system that collects and analyzes real-time performance data across classroom, simulation, and operating room environments.
The center aims to serve as a comprehensive ecosystem for education, research, and technology, giving students, clinicians, and engineers access to data-driven insights for improving surgical performance and outcomes.
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:
More from Life Sciences
Sep 22 Ping An Good Doctor Tests AI Medical Translation Service in Shenzhen Sep 22 Cellular Intelligence Adds Yann LeCun and Three Scientists to Advisory Board Sep 22 Amigo Rebrands as Concurrence Sep 22 CIPRA.ai and Murata Explore AI Wearables for Chronic Care Sep 22 CentralReach Releases ReportDraftAI for ABA ReportingLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
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 moreYou may also like
ARPA-H Awards UpDoc Up to $9.2 Million for Clinical AI
HiRO and Differentia Biotech Sign MOU for AI Clinical Trial Simulation
Tianjin University and United Imaging Unveil MRI Based BCI System
Atman Health Wins ARPA-H Award to Build Heart Failure AI
CIPRA.ai and Murata Explore AI Wearables for Chronic Care
Daily AI Brief: the AI news that matters, in your inbox.