European Medical Journal

AI-Enhanced ECG Predicts Future Cardiac Arrest Risk

ARTIFICIAL intelligence (AI)-enhanced electrocardiography (ECG) combined with electronic health record (EHR) data ...
MassDevice

iRhythm data backs long-term ECG in post-ablation, pregnant populations

The next-generation Zio monitor. [Image courtesy of iRhythm] iRhythm (Nasdaq:IRTC) today announced findings from two real-world analyses supporting its long-term heart monitoring technology. The ...
Business Wire

Anumana Receives First and Only FDA Clearance for ECG-AI Cardiac Amyloidosis Algorithm Using a Standard 12-Lead ECG

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI™ algorithm for cardiac amyloidosis (CA) ...
Network World

Google Research touts memory-compression breakthrough for AI processing

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...
thecardiologyadvisor.com

AI-Based ECG Algorithms Show High Accuracy in Predicting STEMI

A study was conducted to determine the diagnostic performance of AI ECG interpretation for diagnosing STEMI. Artificial intelligence-based algorithms that utilize electrocardiogram data demonstrate ...
Business Wire

Anumana Secures FDA Clearance for First-of-Its-Kind ECG-AI Algorithm for Early Detection of Pulmonary Hypertension

CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, a leader in cardiovascular AI, has received U.S. Food and Drug Administration (FDA) 510(k) clearance for its pulmonary hypertension (PH) algorithm, an ...
Android

This Google AI Breakthrough Could End the Global RAM Crisis Sooner Than Expected

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...
TechSpot

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...
Forbes

Google’s TurboQuant Compression Could Increase Demand For AI Memory

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. On March 24, 2026 Amir Zandieh and Vahab Mirrokni from Google Research published an article ...
The Verge

Google’s TurboQuant algorithm aims to slash AI memory usage.

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...
winbuzzer.com

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...