You are free to share this article under the Attribution 4.0 International license. Researchers report that they've used a mobile, brain-inspired processor to analyze brain signals from retrospective patient data and successfully predict an average of 69 percent of seizures across all patients with artificial intelligence. The research could help pave the way for personalized seizure prediction for patients with epilepsy. "Our algorithm also allows for instantaneous and easy adjustment, giving patients the flexibility to control how sensitive and in advance the warning is…" With a third of epilepsy patients worldwide currently living with unpredictable seizures that are not adequately controlled through medication or otherwise. This research could dramatically improve the lives of 250,000 Australians and 65 million people worldwide, says Mark Cook, director of the University of Melbourne's Graeme Clark Institute for Biomedical Engineering and director of neurology at St. Vincent's Hospital in Melbourne.