Nature

Optimizing machine learning for network inference through comparative analysis of model performance in synthetic and real-world networks

In an era marked by exponential data growth and pervasive digital connectivity, understanding the intricate structure of networks has become a critical challenge across various domains. Whether ...
Morningstar

Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO

CAMBRIDGE, England, April 29, 2026 /PRNewswire/ -- myrtle.ai, a recognized leader in accelerating machine learning inference, today announced that a stack featuring its VOLLO® product has recently ...
Nature

Predictive engine model incorporating physics based model estimation and machine learning

Gas turbine engines on aircraft are equipped with an Engine Health Monitoring (EHM) system that collects in-service data of various installed sensors. The system is not free from malfunction or ...