EV adoption is accelerating across logistics, public transport, and energy retail. Charging networks, fleet management systems, energy platforms, and partner APIs all run in parallel but rarely communicate. Dispatchers manually coordinate sessions that should trigger automatically. Energy managers export spreadsheets that a platform should process in real time. At scale, these gaps become a ceiling […]
Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining which cases need urgent care. Trained on hundreds of thousands of real-world scans along with patient histories, the model achieved accuracy as high as 97.5% and outperformed other advanced AI tools.