Machine Learning

Amid warnings of super typhoons, Chinese researchers deploy an AI system that excels where conventional models fail—predicting rapid storm intensification. The technology could transform disaster preparedness in Hong Kong.

Amazon SageMaker AI's new observability capability unifies token performance and infrastructure metrics for inference endpoints. It reduces issue diagnosis from hours to minutes with pre-built dashboards and Grafana support.

NHAI's new in-house AI scans Detailed Project Reports for costly errors and lets engineers identify road defects by uploading photos. The system, already handling 50,000 queries, stays locked to internal documents to prevent misuse.

A new NEJM AI study details how OpenAI's o3 Deep Research model helped physicians diagnose 18 rare genetic diseases in children, adding a 4.8% yield after years of expert analysis failed. The AI surfaced evidence-linked hypotheses, not diagnoses, showing promise for scalable reanalysis of unsolved cases.

Amazon SageMaker AI's new container caching eliminates image download delays during scale-out, cutting startup latency by 51% for generative AI inference. The feature works automatically on new instances, complementing existing optimizations for rapid, predictable scaling.

Chinese AI labs are experimenting with domestic chips for early training phases, driven by US sanctions. Five models now use local silicon for pre-training or post-training, though none have gone fully native yet. The shift could reshape global AI supply chains.