One of artificial intelligence’s most stubborn problems is enabling AI systems to accumulate new knowledge without losing what they previously learned. A team of researchers at the MATRIX AI Consortium at The University of Texas at San Antonio may have solved this issue with Genesis, a spiking neuromorphic accelerator chip that would enable on-device continual learning throughout its operational lifetime.One of artificial intelligence’s most stubborn problems is enabling AI systems to accumulate new knowledge without losing what they previously learned. A team of researchers at the MATRIX AI Consortium at The University of Texas at San Antonio may have solved this issue with Genesis, a spiking neuromorphic accelerator chip that would enable on-device continual learning throughout its operational lifetime.Hardware[#item_full_content]