Learning on the edge
A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks. However, the training process requires so much memory that it is typically done using powerful computers at a data center, before the model is deployed on a device. To address this problem, researchers at MIT and the MIT-IBM Watson AI Lab developed a new technique that enables on-device training using less than a quarter of a mega...
#algorithms #microcontroller #intel #microcontrollers #ibm #google #smartphones
https://techflash.news/en/TFN-398-ai-en