We significantly enhance power and latency by data-centric architecture, reducing data movement from the place where the data is, effectively mimicking the nervous system.
Pre-trained AI models are stored and executed directly on your device, enabling seamless and efficient computation without relying on external data transfer.
The team boasts diverse experience in memory, processor, and consumer/enterprise SW product, providing a complete hardware/software solutions to run your AI model from your devices.
Rethinking Cloud Dependence: What We Can Learn from the Human Nervous System - Reflex-Like Intelligence.
128 NAND layer based compute-in-memory test chip work from University of Minnesota has been published.
The episode explores the reasons behind the merger and the combined vision for the future of the newly formed company.
