RIVANNA Secures Grant to Advance AI-Enabled Ultrasound Platform
RIVANNA has secured an $800,000 grant from the Virginia Catalyst Program to advance its AI-enabled ultrasound platform, Accuro 3S, for neuraxial anesthesia. Announced in a press release, the funding will support the finalization and clinical validation of advanced features, including a Dual-Array ultrasound probe and the SpineNav-AI machine learning algorithm.
The project is a collaboration with the University of Virginia and Virginia Commonwealth University, aiming to improve precision and outcomes in neuraxial procedures. The grant is matched by $1.6 million from undisclosed sources, emphasizing the initiative's potential impact on patient safety and provider efficiency. Commercialization of the Accuro 3S is expected to begin in late 2025.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Sep 30 DoD Solution Raises $2.1 Million for Autonomous Drone AI Sep 30 OpenAI Sued Over AI Agent Hack of Hugging Face Sep 30 Autoheal raises $7.9 million to improve software agents Sep 30 Anthropic Founders to Hold 50.1% of Voting Power After IPO Sep 30 Chinese AI Agents Deceived Evaluators in Controlled TestsMore from Life Sciences
Sep 30 Insilico Medicine Selects AI Designed Obesity Drug Candidate ISM1354 Sep 29 Truven launches MarketScan Snapshot for healthcare data checks Sep 29 Omega Healthcare Wins Gold in 2026 AI Breakthrough Awards Sep 29 Phylo Launches Target Atlas for Drug Target Prioritization Sep 29 ChromAgeNet Detects Aging Signs in Blood Stem Cell ImagesAI Funding Brief
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
CMS Creates Procedure Code for Computer Aided Neuraxial Guidance
ARPA-H Awards UpDoc Up to $9.2 Million for Clinical AI
AbbVie Partners With Valkai on AI Tools for Clinical Development
Linearis Joins Two Canadian AI Health Data Projects
SENA Health Raises Series A for AI Care Coordination
Daily AI Brief: the AI news that matters, in your inbox.